Game | rFactor 2 (1.1109) |
Session | Race |
Class | 2016 Chevrolet SS |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Kevin H (AI) |
Led most laps | Kevin H (AI) |
Best lap | Kevin H (AI) (00:46.8732) |
Max minutes | 60 |
Lasted laps | 65 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 6 | 4 | Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 65 | 01:00:38.2400 | 00:46.8732 | 92.30% | 37 | 3 | AIControl |
2 | ▴ 3 | 24 | Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 65 | +00:00:05.4897 | 00:46.9206 | 88.40% | 15 | 4 | AIControl |
3 | ▴ 1 | 10 | Danica P (AI) | #10 Chevrolet SS - 2016 Chevrolet SS | 28 | Accident | 00:46.8875 | 84.01% | 1 | 1 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:48.4293 | 17.1856 | 15.5718 | 15.6718 | F:0,Road Course - R:0,Road Course |
98.4 -
98.0
98.0 - 98.0 |
94.5% | AIControl |
2 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:46.8732 | 15.6944 | 15.5789 | 15.5998 | F:0,Road Course - R:0,Road Course |
97.6 -
96.9
97.3 - 97.3 |
91.4% | AIControl |
3 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:56.3767 | 15.6101 | 16.4298 | 24.3369 | F:0,Road Course - R:0,Road Course |
97.3 -
96.1
96.9 - 96.5 |
89.4% | AIControl |
4 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:51.3286 | 17.9468 | 15.5703 | 17.8115 | F:0,Road Course - R:0,Road Course |
96.9 -
94.9
96.1 - 95.7 |
86.3% | AIControl |
5 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:49.2001 | 17.5295 | 15.7242 | 15.9464 | F:0,Road Course - R:0,Road Course |
96.1 -
94.1
95.3 - 94.5 |
82.4% | AIControl |
6 | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:48.0534 | 53.1286 | 21.5532 | 33.3716 | F:0,Road Course - R:0,Road Course |
95.3 -
92.9
94.1 - 93.3 |
80% | AIControl |
7 | # 4 Chevrolet SS - 2016 Chevrolet SS | 02:06.8828 | 42.9100 | 42.9254 | 41.0474 | F:0,Road Course - R:0,Road Course |
93.7 -
91.8
92.9 - 92.5 |
78% | AIControl |
8 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:55.9293 | 21.5860 | 17.8862 | 16.4572 | F:0,Road Course - R:0,Road Course |
93.3 -
90.6
92.2 - 91.4 |
74.9% | AIControl |
9 | # 4 Chevrolet SS - 2016 Chevrolet SS | 02:23.5741 | 48.1198 | 48.2069 | 47.2474 | F:0,Road Course - R:0,Road Course |
91.8 -
89.4
91.0 - 90.2 |
72.9% | AIControl |
10 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:49.5171 | 18.2671 | 15.5962 | 15.6538 | F:0,Road Course - R:0,Road Course |
91.4 -
88.6
90.2 - 89.4 |
69.8% | AIControl |
11 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:46.8875 | 15.6460 | 15.6006 | 15.6409 | F:0,Road Course - R:0,Road Course |
90.6 -
87.5
89.4 - 88.6 |
66.7% | AIControl |
12 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.0677 | 15.8020 | 15.6129 | 15.6529 | F:0,Road Course - R:0,Road Course |
90.2 -
86.7
89.0 - 87.8 |
63.5% | AIControl |
13 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:57.3048 | 15.7166 | 19.8965 | 21.6918 | F:0,Road Course - R:0,Road Course |
89.8 -
85.5
88.2 - 86.7 |
61.2% | AIControl |
14 | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:02.3931 | 21.8231 | 21.8801 | 18.6899 | F:0,Road Course - R:0,Road Course |
89.0 -
84.7
87.5 - 85.9 |
59.2% | AIControl |
15 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.0887 | 15.7329 | 15.6501 | 15.7057 | F:0,Road Course - R:0,Road Course |
88.6 -
83.9
86.7 - 85.1 |
55.7% | AIControl |
16 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.0768 | 15.7168 | 15.6348 | 15.7252 | F:0,Road Course - R:0,Road Course |
88.2 -
82.7
85.9 - 84.3 |
52.5% | AIControl |
17 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:50.4222 | 16.3040 | 18.3663 | 15.7520 | F:0,Road Course - R:0,Road Course |
87.8 -
82.0
85.1 - 83.5 |
49.8% | AIControl |
18 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:56.4391 | 15.7112 | 18.7815 | 21.9464 | F:0,Road Course - R:0,Road Course |
87.1 -
80.8
84.3 - 82.7 |
47.5% | AIControl |
19 (P: 39.0832) | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:32.0187 | 21.9678 | 21.8058 | 48.2451 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
20 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:58.6780 | 27.1967 | 15.7543 | 15.7271 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 98.8 |
96.1% | AIControl |
21 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.6191 | 15.7704 | 15.7086 | 16.1401 | F:0,Road Course - R:0,Road Course |
98.8 -
97.6
98.4 - 98.0 |
92.9% | AIControl |
22 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:57.6677 | 21.4805 | 19.5392 | 16.6481 | F:0,Road Course - R:0,Road Course |
98.4 -
96.9
97.6 - 97.3 |
89.8% | AIControl |
23 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.5516 | 16.0469 | 15.7148 | 15.7899 | F:0,Road Course - R:0,Road Course |
97.6 -
95.7
96.9 - 96.1 |
85.9% | AIControl |
24 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.2827 | 15.7678 | 15.7106 | 15.8043 | F:0,Road Course - R:0,Road Course |
97.3 -
94.9
96.1 - 95.3 |
82% | AIControl |
25 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.3785 | 15.7935 | 15.7136 | 15.8715 | F:0,Road Course - R:0,Road Course |
96.9 -
93.7
94.9 - 94.1 |
78.4% | AIControl |
26 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:53.3483 | 19.3982 | 18.2002 | 15.7499 | F:0,Road Course - R:0,Road Course |
96.1 -
92.9
94.1 - 93.3 |
75.3% | AIControl |
27 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.2729 | 15.7751 | 15.7034 | 15.7944 | F:0,Road Course - R:0,Road Course |
95.7 -
91.8
93.7 - 92.5 |
71.8% | AIControl |
28 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.2565 | 15.7887 | 15.6853 | 15.7825 | F:0,Road Course - R:0,Road Course |
95.3 -
90.6
92.5 - 91.4 |
68.6% | AIControl |
29 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:48.1517 | 15.8129 | 16.5250 | 15.8138 | F:0,Road Course - R:0,Road Course |
94.5 -
89.8
92.2 - 90.6 |
64.7% | AIControl |
30 (P: 39.1389) | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:31.9729 | 28.3058 | 16.2157 | 47.4514 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
31 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:59.6482 | 28.0461 | 15.8751 | 15.7269 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 99.2 |
96.1% | AIControl |
32 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.1249 | 15.7181 | 15.6743 | 15.7324 | F:0,Road Course - R:0,Road Course |
98.8 -
98.0
98.4 - 98.0 |
92.5% | AIControl |
33 | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:02.3696 | 20.2441 | 21.7615 | 20.3640 | F:0,Road Course - R:0,Road Course |
98.0 -
96.9
97.6 - 97.3 |
90.6% | AIControl |
34 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:57.9316 | 21.9097 | 19.3132 | 16.7087 | F:0,Road Course - R:0,Road Course |
97.6 -
96.1
96.9 - 96.5 |
87.5% | AIControl |
35 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.2104 | 15.7134 | 15.6707 | 15.8264 | F:0,Road Course - R:0,Road Course |
97.3 -
94.9
96.1 - 95.7 |
83.9% | AIControl |
36 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.1111 | 15.7148 | 15.6763 | 15.7200 | F:0,Road Course - R:0,Road Course |
96.9 -
94.1
95.3 - 94.9 |
80.4% | AIControl |
37 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:48.0178 | 15.7141 | 15.9526 | 16.3511 | F:0,Road Course - R:0,Road Course |
96.1 -
92.9
94.5 - 93.7 |
76.9% | AIControl |
38 | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:01.7957 | 18.7407 | 21.8386 | 21.2163 | F:0,Road Course - R:0,Road Course |
95.7 -
92.2
93.7 - 92.9 |
74.9% | AIControl |
39 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:48.4045 | 17.0154 | 15.7114 | 15.6777 | F:0,Road Course - R:0,Road Course |
94.9 -
91.4
92.9 - 92.2 |
71.8% | AIControl |
40 (P: 38.2005) | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:20.1062 | 15.8762 | 17.6475 | 46.5825 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
41 | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:09.1575 | 27.9766 | 19.3093 | 21.8716 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 99.2 |
96.5% | AIControl |
42 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:56.4060 | 21.8130 | 18.8997 | 15.6934 | F:0,Road Course - R:0,Road Course |
98.8 -
98.0
98.4 - 98.4 |
93.3% | AIControl |
43 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.0366 | 15.6938 | 15.6367 | 15.7061 | F:0,Road Course - R:0,Road Course |
98.4 -
97.3
97.6 - 97.3 |
90.2% | AIControl |
44 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.2231 | 15.7083 | 15.7944 | 15.7205 | F:0,Road Course - R:0,Road Course |
97.6 -
96.1
96.9 - 96.5 |
87.1% | AIControl |
45 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:48.9844 | 17.0833 | 16.1028 | 15.7983 | F:0,Road Course - R:0,Road Course |
97.3 -
95.3
96.5 - 95.7 |
83.1% | AIControl |
46 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.4585 | 15.9771 | 15.6899 | 15.7915 | F:0,Road Course - R:0,Road Course |
96.9 -
94.1
95.3 - 94.9 |
79.6% | AIControl |
47 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.4309 | 15.9207 | 15.7090 | 15.8013 | F:0,Road Course - R:0,Road Course |
96.5 -
92.9
94.5 - 93.7 |
76.1% | AIControl |
48 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:49.3059 | 15.7930 | 15.7068 | 17.8062 | F:0,Road Course - R:0,Road Course |
95.7 -
92.2
93.7 - 92.9 |
72.5% | AIControl |
49 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:48.7292 | 17.0815 | 15.6697 | 15.9780 | F:0,Road Course - R:0,Road Course |
95.3 -
91.0
92.9 - 92.2 |
69% | AIControl |
50 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.2397 | 15.8174 | 15.6909 | 15.7314 | F:0,Road Course - R:0,Road Course |
94.9 -
90.2
92.2 - 91.0 |
65.1% | AIControl |
51 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.2227 | 15.7266 | 15.6948 | 15.8013 | F:0,Road Course - R:0,Road Course |
94.1 -
89.0
91.4 - 90.2 |
61.6% | AIControl |
52 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.3022 | 15.8374 | 15.6870 | 15.7778 | F:0,Road Course - R:0,Road Course |
93.7 -
88.2
91.0 - 89.4 |
57.6% | AIControl |
53 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.3516 | 15.7092 | 15.9265 | 15.7158 | F:0,Road Course - R:0,Road Course |
93.3 -
87.1
90.2 - 88.2 |
54.1% | AIControl |
54 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.1023 | 15.7141 | 15.6663 | 15.7219 | F:0,Road Course - R:0,Road Course |
92.5 -
86.3
89.4 - 87.5 |
50.6% | AIControl |
55 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.3865 | 15.7122 | 15.7458 | 15.9285 | F:0,Road Course - R:0,Road Course |
92.2 -
85.1
88.6 - 86.7 |
47.1% | AIControl |
56 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:48.9163 | 16.5334 | 16.6641 | 15.7188 | F:0,Road Course - R:0,Road Course |
91.8 -
84.3
87.8 - 85.5 |
43.1% | AIControl |
57 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.3552 | 15.9700 | 15.6663 | 15.7190 | F:0,Road Course - R:0,Road Course |
91.4 -
83.1
86.7 - 84.7 |
39.6% | AIControl |
58 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.0950 | 15.7075 | 15.6675 | 15.7200 | F:0,Road Course - R:0,Road Course |
90.6 -
82.4
86.3 - 83.9 |
35.7% | AIControl |
59 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.2166 | 15.7051 | 15.7935 | 15.7180 | F:0,Road Course - R:0,Road Course |
90.2 -
81.2
85.5 - 83.1 |
32.2% | AIControl |
60 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:52.1699 | 15.7068 | 16.1729 | 20.2903 | F:0,Road Course - R:0,Road Course |
89.8 -
80.4
84.7 - 82.0 |
28.6% | AIControl |
61 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.4668 | 15.9358 | 15.7083 | 15.8228 | F:0,Road Course - R:0,Road Course |
89.0 -
79.6
83.9 - 81.2 |
25.1% | AIControl |
62 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:51.6514 | 16.1128 | 18.7002 | 16.8384 | F:0,Road Course - R:0,Road Course |
88.6 -
78.4
83.1 - 80.4 |
22% | AIControl |
63 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:51.2690 | 15.7822 | 19.3208 | 16.1660 | F:0,Road Course - R:0,Road Course |
88.2 -
77.6
82.4 - 79.6 |
18% | AIControl |
64 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:51.5647 | 17.4915 | 18.1677 | 15.9055 | F:0,Road Course - R:0,Road Course |
87.5 -
76.5
81.6 - 78.8 |
14.9% | AIControl |
65 | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.2654 | 15.7244 | 15.6895 | 15.8516 | F:0,Road Course - R:0,Road Course |
87.1 -
75.7
80.8 - 77.6 |
11.4% | AIControl |
Average | 00:55.9087 | 18.9609 | 17.7591 | 19.1887 | |||||
Best possible | 00:46.7802 | 15.6101 | 15.5703 | 15.5998 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:48.5629 | 17.2475 | 15.6515 | 15.6639 | F:0,Road Course - R:0,Road Course |
98.4 -
98.0
98.0 - 98.0 |
94.5% | AIControl |
2 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:46.9206 | 15.6633 | 15.6095 | 15.6478 | F:0,Road Course - R:0,Road Course |
97.6 -
96.9
97.6 - 97.3 |
91.4% | AIControl |
3 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:56.4170 | 15.6416 | 16.4397 | 24.3358 | F:0,Road Course - R:0,Road Course |
97.3 -
96.1
96.9 - 96.5 |
89% | AIControl |
4 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:53.8049 | 17.8984 | 15.6092 | 20.2974 | F:0,Road Course - R:0,Road Course |
96.5 -
94.9
95.7 - 95.3 |
85.5% | AIControl |
5 | #24 Chevrolet SS - 2016 Chevrolet SS | 01:01.9230 | 18.2859 | 21.6709 | 21.9663 | F:0,Road Course - R:0,Road Course |
96.1 -
94.1
94.9 - 94.5 |
83.5% | AIControl |
6 | #24 Chevrolet SS - 2016 Chevrolet SS | 01:34.3332 | 46.2919 | 21.8595 | 26.1818 | F:0,Road Course - R:0,Road Course |
94.9 -
92.9
94.1 - 93.3 |
81.2% | AIControl |
7 (P: 58.3809) | #24 Chevrolet SS - 2016 Chevrolet SS | 02:32.6832 | 42.7513 | 43.1641 | 66.7678 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
8 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:59.0429 | 27.1533 | 15.7903 | 16.0993 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
98.8 - 98.8 |
96.1% | AIControl |
9 (P: 37.425) | #24 Chevrolet SS - 2016 Chevrolet SS | 01:30.7567 | 21.2177 | 24.4160 | 45.1229 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
10 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:59.5665 | 27.8423 | 15.9136 | 15.8105 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
98.8 - 98.8 |
96.1% | AIControl |
11 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.3734 | 15.8549 | 15.7131 | 15.8053 | F:0,Road Course - R:0,Road Course |
98.8 -
98.0
98.4 - 98.0 |
92.5% | AIControl |
12 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:50.6562 | 15.7965 | 15.7167 | 19.1430 | F:0,Road Course - R:0,Road Course |
98.4 -
96.9
97.6 - 97.3 |
89.4% | AIControl |
13 | #24 Chevrolet SS - 2016 Chevrolet SS | 01:05.9253 | 22.0130 | 21.8860 | 22.0262 | F:0,Road Course - R:0,Road Course |
97.6 -
96.1
96.9 - 96.1 |
87.1% | AIControl |
14 | #24 Chevrolet SS - 2016 Chevrolet SS | 01:05.4532 | 21.9094 | 21.9108 | 21.6331 | F:0,Road Course - R:0,Road Course |
96.9 -
94.9
95.7 - 95.3 |
84.7% | AIControl |
15 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:49.3383 | 17.7135 | 15.8679 | 15.7568 | F:0,Road Course - R:0,Road Course |
96.5 -
94.1
95.3 - 94.5 |
81.2% | AIControl |
16 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.1520 | 15.7274 | 15.6798 | 15.7448 | F:0,Road Course - R:0,Road Course |
96.1 -
92.9
94.5 - 93.7 |
77.6% | AIControl |
17 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.2056 | 15.7356 | 15.6753 | 15.7947 | F:0,Road Course - R:0,Road Course |
95.7 -
92.2
93.7 - 92.9 |
74.1% | AIControl |
18 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:54.1929 | 15.7262 | 16.5447 | 21.9220 | F:0,Road Course - R:0,Road Course |
94.9 -
91.0
92.9 - 92.2 |
71.4% | AIControl |
19 | #24 Chevrolet SS - 2016 Chevrolet SS | 01:05.6780 | 21.9575 | 21.8091 | 21.9114 | F:0,Road Course - R:0,Road Course |
94.5 -
90.2
92.2 - 91.4 |
69% | AIControl |
20 | #24 Chevrolet SS - 2016 Chevrolet SS | 01:05.8163 | 21.9578 | 21.8960 | 21.9625 | F:0,Road Course - R:0,Road Course |
93.7 -
89.4
91.4 - 90.2 |
66.7% | AIControl |
21 | #24 Chevrolet SS - 2016 Chevrolet SS | 01:05.8391 | 21.9414 | 21.9109 | 21.9868 | F:0,Road Course - R:0,Road Course |
92.9 -
88.2
90.6 - 89.4 |
64.3% | AIControl |
22 | #24 Chevrolet SS - 2016 Chevrolet SS | 01:05.5669 | 21.9625 | 21.7588 | 21.8456 | F:0,Road Course - R:0,Road Course |
92.5 -
87.5
89.8 - 88.6 |
62% | AIControl |
23 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:55.6774 | 21.8577 | 18.0427 | 15.7770 | F:0,Road Course - R:0,Road Course |
91.8 -
86.7
89.0 - 87.8 |
58.8% | AIControl |
24 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:48.8297 | 16.7792 | 16.1774 | 15.8732 | F:0,Road Course - R:0,Road Course |
91.4 -
85.5
88.6 - 87.1 |
55.3% | AIControl |
25 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:48.8711 | 15.7627 | 17.1410 | 15.9674 | F:0,Road Course - R:0,Road Course |
91.0 -
84.3
87.5 - 86.3 |
51.8% | AIControl |
26 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.3040 | 15.7924 | 15.7115 | 15.8000 | F:0,Road Course - R:0,Road Course |
90.2 -
83.5
86.7 - 85.1 |
48.2% | AIControl |
27 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:56.6691 | 19.5746 | 20.3179 | 16.7766 | F:0,Road Course - R:0,Road Course |
89.8 -
82.4
86.3 - 84.3 |
45.1% | AIControl |
28 (P: 40.8524) | #24 Chevrolet SS - 2016 Chevrolet SS | 01:22.4055 | 15.7457 | 18.7854 | 47.8744 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
29 | #24 Chevrolet SS - 2016 Chevrolet SS | 01:00.2136 | 28.5182 | 15.9736 | 15.7218 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 98.8 |
96.1% | AIControl |
30 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:50.8367 | 17.1605 | 17.6492 | 16.0270 | F:0,Road Course - R:0,Road Course |
98.8 -
98.0
98.4 - 98.0 |
92.9% | AIControl |
31 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:48.6757 | 17.2795 | 15.6704 | 15.7257 | F:0,Road Course - R:0,Road Course |
98.4 -
96.9
97.6 - 97.3 |
89% | AIControl |
32 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.2124 | 15.7700 | 15.6699 | 15.7725 | F:0,Road Course - R:0,Road Course |
97.6 -
96.1
96.9 - 96.1 |
85.5% | AIControl |
33 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.1250 | 15.7158 | 15.6724 | 15.7368 | F:0,Road Course - R:0,Road Course |
97.3 -
94.9
96.1 - 95.3 |
82% | AIControl |
34 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:57.5671 | 20.5815 | 19.2798 | 17.7058 | F:0,Road Course - R:0,Road Course |
96.9 -
94.1
95.3 - 94.5 |
79.2% | AIControl |
35 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:51.7258 | 16.2493 | 16.9065 | 18.5701 | F:0,Road Course - R:0,Road Course |
96.1 -
92.9
94.5 - 93.7 |
76.5% | AIControl |
36 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:50.0630 | 18.5386 | 15.7268 | 15.7976 | F:0,Road Course - R:0,Road Course |
95.7 -
92.2
93.7 - 92.9 |
72.5% | AIControl |
37 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.3044 | 15.7913 | 15.7085 | 15.8047 | F:0,Road Course - R:0,Road Course |
95.3 -
91.0
92.9 - 91.8 |
69% | AIControl |
38 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:54.5322 | 15.9468 | 16.8201 | 21.7654 | F:0,Road Course - R:0,Road Course |
94.5 -
90.2
92.2 - 91.0 |
66.3% | AIControl |
39 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:55.3184 | 21.5852 | 17.9082 | 15.8250 | F:0,Road Course - R:0,Road Course |
94.1 -
89.0
91.4 - 90.2 |
62.7% | AIControl |
40 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.4551 | 15.7515 | 15.7061 | 15.9976 | F:0,Road Course - R:0,Road Course |
93.3 -
87.8
90.6 - 89.0 |
59.2% | AIControl |
41 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:48.8438 | 16.2195 | 16.8831 | 15.7412 | F:0,Road Course - R:0,Road Course |
92.9 -
87.1
89.8 - 88.2 |
55.7% | AIControl |
42 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.3875 | 15.7869 | 15.7126 | 15.8879 | F:0,Road Course - R:0,Road Course |
92.5 -
85.9
89.0 - 87.5 |
51.8% | AIControl |
43 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:54.4949 | 19.9802 | 18.8188 | 15.6958 | F:0,Road Course - R:0,Road Course |
91.8 -
85.1
88.2 - 86.7 |
49.4% | AIControl |
44 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.0337 | 15.6914 | 15.6392 | 15.7031 | F:0,Road Course - R:0,Road Course |
91.4 -
83.9
87.5 - 85.5 |
46.3% | AIControl |
45 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.2319 | 15.7085 | 15.8103 | 15.7131 | F:0,Road Course - R:0,Road Course |
91.0 -
83.1
87.1 - 84.7 |
43.1% | AIControl |
46 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:52.3762 | 17.7681 | 18.8071 | 15.8010 | F:0,Road Course - R:0,Road Course |
90.2 -
82.0
85.9 - 83.9 |
39.6% | AIControl |
47 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.5310 | 15.7703 | 15.9785 | 15.7822 | F:0,Road Course - R:0,Road Course |
89.8 -
81.2
85.5 - 83.1 |
35.7% | AIControl |
48 (P: 42.9854) | #24 Chevrolet SS - 2016 Chevrolet SS | 01:27.2532 | 15.7251 | 21.0527 | 50.4753 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
49 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:59.8862 | 28.0503 | 16.0356 | 15.8003 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 98.8 |
96.1% | AIControl |
50 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:52.4063 | 18.5574 | 17.5051 | 16.3438 | F:0,Road Course - R:0,Road Course |
98.8 -
98.0
98.0 - 98.0 |
92.5% | AIControl |
51 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:49.2288 | 17.5947 | 15.9092 | 15.7249 | F:0,Road Course - R:0,Road Course |
98.4 -
96.9
97.3 - 97.3 |
89% | AIControl |
52 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.2026 | 15.7109 | 15.6646 | 15.8271 | F:0,Road Course - R:0,Road Course |
97.6 -
96.1
96.9 - 96.5 |
85.5% | AIControl |
53 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.1040 | 15.7122 | 15.6685 | 15.7234 | F:0,Road Course - R:0,Road Course |
97.3 -
94.9
96.1 - 95.3 |
82% | AIControl |
54 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.3440 | 15.9578 | 15.6702 | 15.7161 | F:0,Road Course - R:0,Road Course |
96.9 -
93.7
95.3 - 94.5 |
78.4% | AIControl |
55 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.1001 | 15.7109 | 15.6660 | 15.7231 | F:0,Road Course - R:0,Road Course |
96.1 -
92.9
94.5 - 93.7 |
74.5% | AIControl |
56 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:50.4539 | 15.9592 | 18.0569 | 16.4377 | F:0,Road Course - R:0,Road Course |
95.7 -
91.8
93.7 - 92.9 |
71.4% | AIControl |
57 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:54.0896 | 18.3708 | 18.2004 | 17.5183 | F:0,Road Course - R:0,Road Course |
95.3 -
91.0
92.9 - 91.8 |
68.2% | AIControl |
58 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.5396 | 16.0278 | 15.7161 | 15.7957 | F:0,Road Course - R:0,Road Course |
94.5 -
89.8
92.2 - 91.0 |
64.7% | AIControl |
59 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.2146 | 15.7288 | 15.6887 | 15.7971 | F:0,Road Course - R:0,Road Course |
94.1 -
89.0
91.4 - 90.2 |
61.2% | AIControl |
60 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.3171 | 15.7837 | 15.7969 | 15.7366 | F:0,Road Course - R:0,Road Course |
93.7 -
87.8
90.6 - 89.0 |
57.6% | AIControl |
61 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:48.5991 | 15.7900 | 15.7024 | 17.1067 | F:0,Road Course - R:0,Road Course |
92.9 -
87.1
89.8 - 88.2 |
54.1% | AIControl |
62 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.3005 | 15.8010 | 15.7092 | 15.7903 | F:0,Road Course - R:0,Road Course |
92.5 -
85.9
89.0 - 87.1 |
50.6% | AIControl |
63 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.7434 | 16.2280 | 15.7222 | 15.7932 | F:0,Road Course - R:0,Road Course |
92.2 -
84.7
88.2 - 86.3 |
47.1% | AIControl |
64 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.2700 | 15.8662 | 15.6724 | 15.7314 | F:0,Road Course - R:0,Road Course |
91.8 -
83.9
87.5 - 85.5 |
43.5% | AIControl |
65 | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.9326 | 16.4751 | 15.6738 | 15.7837 | F:0,Road Course - R:0,Road Course |
91.0 -
82.7
86.7 - 84.3 |
39.6% | AIControl |
Average | 00:55.9982 | 18.8410 | 17.6942 | 19.4630 | |||||
Best possible | 00:46.8986 | 15.6416 | 15.6092 | 15.6478 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:49.0628 | 17.5726 | 15.6832 | 15.8070 | F:0,Road Course - R:0,Road Course |
98.4 -
98.0
98.0 - 98.0 |
94.1% | AIControl |
2 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:46.9521 | 15.7605 | 15.5889 | 15.6028 | F:0,Road Course - R:0,Road Course |
97.6 -
96.9
97.6 - 97.3 |
91% | AIControl |
3 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:56.3800 | 15.6143 | 16.4388 | 24.3269 | F:0,Road Course - R:0,Road Course |
97.3 -
96.1
96.9 - 96.5 |
88.2% | AIControl |
4 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:58.6208 | 20.9049 | 15.6457 | 22.0702 | F:0,Road Course - R:0,Road Course |
96.5 -
94.5
95.7 - 94.9 |
85.1% | AIControl |
5 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:57.0129 | 20.7800 | 15.7265 | 20.5064 | F:0,Road Course - R:0,Road Course |
96.1 -
93.3
94.9 - 94.1 |
82% | AIControl |
6 | #10 Chevrolet SS - 2016 Chevrolet SS | 01:34.4814 | 46.4061 | 21.8001 | 26.2752 | F:0,Road Course - R:0,Road Course |
94.9 -
92.2
94.1 - 92.9 |
79.6% | AIControl |
7 | #10 Chevrolet SS - 2016 Chevrolet SS | 02:06.6143 | 42.7859 | 43.1642 | 40.6642 | F:0,Road Course - R:0,Road Course |
93.7 -
91.0
92.9 - 92.2 |
77.6% | AIControl |
8 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:52.3789 | 20.7712 | 15.8005 | 15.8073 | F:0,Road Course - R:0,Road Course |
92.9 -
90.2
92.2 - 91.0 |
73.7% | AIControl |
9 | #10 Chevrolet SS - 2016 Chevrolet SS | 02:25.5997 | 50.0339 | 48.2084 | 47.3574 | F:0,Road Course - R:0,Road Course |
91.4 -
88.6
90.6 - 89.8 |
72.2% | AIControl |
10 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:49.6190 | 18.3682 | 15.5967 | 15.6541 | F:0,Road Course - R:0,Road Course |
91.0 -
87.8
90.2 - 89.0 |
68.6% | AIControl |
11 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:46.8875 | 15.6449 | 15.5983 | 15.6443 | F:0,Road Course - R:0,Road Course |
90.6 -
87.1
89.4 - 88.2 |
65.5% | AIControl |
12 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:47.0665 | 15.7867 | 15.6208 | 15.6590 | F:0,Road Course - R:0,Road Course |
89.8 -
85.9
88.6 - 87.5 |
62.7% | AIControl |
13 (P: 36.0739) | #10 Chevrolet SS - 2016 Chevrolet SS | 01:25.9950 | 15.7162 | 19.8801 | 50.3987 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
14 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:58.7365 | 27.2095 | 15.7946 | 15.7324 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 98.8 |
95.7% | AIControl |
15 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:47.1213 | 15.7192 | 15.6797 | 15.7224 | F:0,Road Course - R:0,Road Course |
98.8 -
98.0
98.4 - 98.0 |
92.2% | AIControl |
16 | #10 Chevrolet SS - 2016 Chevrolet SS | 01:03.0265 | 19.4508 | 21.8730 | 21.7026 | F:0,Road Course - R:0,Road Course |
98.0 -
96.9
97.6 - 97.3 |
89.8% | AIControl |
17 | #10 Chevrolet SS - 2016 Chevrolet SS | 01:05.9343 | 22.1007 | 21.9303 | 21.9033 | F:0,Road Course - R:0,Road Course |
97.6 -
96.1
96.9 - 96.5 |
87.1% | AIControl |
18 | #10 Chevrolet SS - 2016 Chevrolet SS | 01:05.8879 | 21.8816 | 21.7882 | 22.2181 | F:0,Road Course - R:0,Road Course |
96.9 -
94.9
96.1 - 95.7 |
84.3% | AIControl |
19 | #10 Chevrolet SS - 2016 Chevrolet SS | 01:05.6823 | 21.9420 | 21.7308 | 22.0094 | F:0,Road Course - R:0,Road Course |
96.1 -
94.1
95.3 - 94.9 |
81.6% | AIControl |
20 | #10 Chevrolet SS - 2016 Chevrolet SS | 01:05.5962 | 21.7485 | 21.9426 | 21.9050 | F:0,Road Course - R:0,Road Course |
95.7 -
93.3
94.5 - 94.1 |
79.2% | AIControl |
21 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:56.4766 | 21.8000 | 18.8544 | 15.8221 | F:0,Road Course - R:0,Road Course |
94.9 -
92.5
93.7 - 93.3 |
76.1% | AIControl |
22 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:47.3485 | 15.7903 | 15.7531 | 15.8052 | F:0,Road Course - R:0,Road Course |
94.5 -
91.4
92.9 - 92.2 |
72.5% | AIControl |
23 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:47.3047 | 15.7957 | 15.7094 | 15.7997 | F:0,Road Course - R:0,Road Course |
94.1 -
90.2
92.2 - 91.4 |
69% | AIControl |
24 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:48.2457 | 15.7981 | 15.7091 | 16.7385 | F:0,Road Course - R:0,Road Course |
93.3 -
89.4
91.4 - 90.2 |
65.5% | AIControl |
25 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:52.3510 | 19.7980 | 16.7603 | 15.7927 | F:0,Road Course - R:0,Road Course |
92.9 -
88.2
90.6 - 89.4 |
62% | AIControl |
26 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:47.3097 | 15.7919 | 15.7130 | 15.8048 | F:0,Road Course - R:0,Road Course |
92.5 -
87.5
89.8 - 88.6 |
58.4% | AIControl |
27 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:47.5524 | 16.0439 | 15.7058 | 15.8026 | F:0,Road Course - R:0,Road Course |
91.8 -
86.3
89.0 - 87.5 |
54.9% | AIControl |
28 | #10 Chevrolet SS - 2016 Chevrolet SS | 00:49.8949 | 16.5717 | 16.4066 | 16.9166 | F:0,Road Course - R:0,Road Course |
91.4 -
85.5
88.2 - 86.7 |
51.8% | AIControl |
Average | 01:02.3264 | 21.5567 | 19.5037 | 21.2660 | |||||
Best possible | 00:46.8060 | 15.6143 | 15.5889 | 15.6028 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:46.8732 | |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:46.8875 | 0.0143 |
Danica P (AI) | #10 Chevrolet SS - 2016 Chevrolet SS | 00:46.8875 | 0.0143 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 00:46.9206 | 0.0474 |
Danica P (AI) | #10 Chevrolet SS - 2016 Chevrolet SS | 00:46.9521 | 0.0789 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.0337 | 0.1605 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.0366 | 0.1634 |
Danica P (AI) | #10 Chevrolet SS - 2016 Chevrolet SS | 00:47.0665 | 0.1933 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.0677 | 0.1945 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.0768 | 0.2036 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.0887 | 0.2155 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.0950 | 0.2218 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.1001 | 0.2269 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.1023 | 0.2291 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.1040 | 0.2308 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.1111 | 0.2379 |
Danica P (AI) | #10 Chevrolet SS - 2016 Chevrolet SS | 00:47.1213 | 0.2481 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:47.1249 | 0.2517 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.1250 | 0.2518 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 00:47.1520 | 0.2788 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 00:46.8732 | |
Danica P (AI) | #10 Chevrolet SS - 2016 Chevrolet SS | 00:46.8875 | 0.0143 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 00:46.9206 | 0.0474 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 92.30% <> 3.609 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 88.40% <> 5.4408 |
Danica P (AI) | #10 Chevrolet SS - 2016 Chevrolet SS | 84.01% <> 7.4988 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Kevin H (AI) | 15.6101 | - |
Danica P (AI) | 15.6143 | 0.0042 |
Chase E (AI) | 15.6416 | 0.0315 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Kevin H (AI) | 15.5703 | - |
Danica P (AI) | 15.5889 | 0.0186 |
Chase E (AI) | 15.6092 | 0.0389 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Kevin H (AI) | 15.5998 | - |
Danica P (AI) | 15.6028 | 0.0030 |
Chase E (AI) | 15.6478 | 0.0480 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | 2016 Ford Fusion |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Joey L (AI) |
Led most laps | Joey L (AI) |
Best lap | Joey L (AI) (00:46.8837) |
Max minutes | 60 |
Lasted laps | 62 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 8 | 22 | Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 62 | 01:00:52.8364 | 00:46.8837 | 89.40% | 0 | 5 | AIControl |
2 | ▴ 22 | 2 | Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 6 | Engine | 00:53.8502 | 93.79% | 0 | 1 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #22 Ford Fusion - 2016 Ford Fusion | 00:48.6641 | 17.3227 | 15.6513 | 15.6901 | F:0,Road Course - R:0,Road Course |
98.4 -
98.0
98.0 - 98.0 |
94.5% | AIControl |
2 | #22 Ford Fusion - 2016 Ford Fusion | 00:46.8837 | 15.6604 | 15.5763 | 15.6470 | F:0,Road Course - R:0,Road Course |
97.6 -
96.9
97.3 - 97.3 |
91.8% | AIControl |
3 | #22 Ford Fusion - 2016 Ford Fusion | 00:56.0122 | 15.6463 | 16.0537 | 24.3122 | F:0,Road Course - R:0,Road Course |
97.3 -
96.1
96.9 - 96.5 |
89.4% | AIControl |
4 | #22 Ford Fusion - 2016 Ford Fusion | 01:13.5624 | 24.3649 | 24.5799 | 24.6176 | F:0,Road Course - R:0,Road Course |
96.5 -
94.9
96.1 - 95.7 |
87.1% | AIControl |
5 | #22 Ford Fusion - 2016 Ford Fusion | 01:14.1304 | 24.9407 | 24.5788 | 24.6109 | F:0,Road Course - R:0,Road Course |
95.7 -
94.1
95.3 - 94.5 |
85.5% | AIControl |
6 (P: 53.9014) | #22 Ford Fusion - 2016 Ford Fusion | 02:38.7754 | 61.2007 | 37.0835 | 60.4911 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
7 | #22 Ford Fusion - 2016 Ford Fusion | 01:02.5140 | 28.9239 | 16.8694 | 16.7207 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 98.8 |
96.5% | AIControl |
8 | #22 Ford Fusion - 2016 Ford Fusion | 00:48.9747 | 17.2878 | 15.8793 | 15.8076 | F:0,Road Course - R:0,Road Course |
98.8 -
98.0
98.4 - 98.0 |
92.5% | AIControl |
9 (P: 167.6141) | #22 Ford Fusion - 2016 Ford Fusion | 04:08.4308 | 24.6593 | 47.8099 | 175.9615 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
10 | #22 Ford Fusion - 2016 Ford Fusion | 01:09.0791 | 27.1662 | 20.1343 | 21.7786 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 99.2 |
97.3% | AIControl |
11 | #22 Ford Fusion - 2016 Ford Fusion | 01:02.4115 | 21.8242 | 21.8802 | 18.7070 | F:0,Road Course - R:0,Road Course |
98.8 -
98.0
98.4 - 98.0 |
94.5% | AIControl |
12 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.0883 | 15.7332 | 15.6484 | 15.7067 | F:0,Road Course - R:0,Road Course |
98.0 -
96.9
97.6 - 97.3 |
91.4% | AIControl |
13 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.0764 | 15.7172 | 15.6354 | 15.7239 | F:0,Road Course - R:0,Road Course |
97.6 -
96.1
96.9 - 96.5 |
88.2% | AIControl |
14 | #22 Ford Fusion - 2016 Ford Fusion | 00:49.9661 | 16.2998 | 17.8972 | 15.7690 | F:0,Road Course - R:0,Road Course |
97.3 -
95.3
96.1 - 95.7 |
85.1% | AIControl |
15 | #22 Ford Fusion - 2016 Ford Fusion | 00:56.8790 | 15.7906 | 19.1422 | 21.9462 | F:0,Road Course - R:0,Road Course |
96.5 -
94.1
95.3 - 94.9 |
82.7% | AIControl |
16 | #22 Ford Fusion - 2016 Ford Fusion | 01:05.8010 | 21.9662 | 21.8783 | 21.9565 | F:0,Road Course - R:0,Road Course |
96.1 -
93.3
94.5 - 94.1 |
80.8% | AIControl |
17 | #22 Ford Fusion - 2016 Ford Fusion | 01:05.7931 | 21.9524 | 21.8981 | 21.9426 | F:0,Road Course - R:0,Road Course |
95.3 -
92.2
93.7 - 92.9 |
78.8% | AIControl |
18 | #22 Ford Fusion - 2016 Ford Fusion | 01:05.8167 | 21.9595 | 21.9010 | 21.9562 | F:0,Road Course - R:0,Road Course |
94.5 -
91.4
92.9 - 92.2 |
76.5% | AIControl |
19 | #22 Ford Fusion - 2016 Ford Fusion | 01:05.5717 | 21.9683 | 21.7666 | 21.8368 | F:0,Road Course - R:0,Road Course |
94.1 -
90.6
92.2 - 91.4 |
74.5% | AIControl |
20 | #22 Ford Fusion - 2016 Ford Fusion | 00:55.6792 | 21.8550 | 18.0812 | 15.7430 | F:0,Road Course - R:0,Road Course |
93.3 -
89.4
91.8 - 90.6 |
71.4% | AIControl |
21 | #22 Ford Fusion - 2016 Ford Fusion | 00:48.2413 | 16.8228 | 15.6755 | 15.7430 | F:0,Road Course - R:0,Road Course |
92.9 -
88.6
91.0 - 89.8 |
67.8% | AIControl |
22 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.2642 | 15.7845 | 15.7285 | 15.7511 | F:0,Road Course - R:0,Road Course |
92.5 -
87.5
89.8 - 88.6 |
64.3% | AIControl |
23 | #22 Ford Fusion - 2016 Ford Fusion | 00:48.3239 | 15.7906 | 15.6818 | 16.8514 | F:0,Road Course - R:0,Road Course |
91.8 -
86.7
89.4 - 87.8 |
61.2% | AIControl |
24 | #22 Ford Fusion - 2016 Ford Fusion | 00:49.7571 | 17.7274 | 16.2776 | 15.7521 | F:0,Road Course - R:0,Road Course |
91.4 -
85.5
88.6 - 87.1 |
57.6% | AIControl |
25 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3481 | 15.8394 | 15.7072 | 15.8016 | F:0,Road Course - R:0,Road Course |
91.0 -
84.3
87.8 - 85.9 |
54.1% | AIControl |
26 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3027 | 15.7954 | 15.7074 | 15.7999 | F:0,Road Course - R:0,Road Course |
90.6 -
83.5
87.1 - 85.1 |
50.6% | AIControl |
27 | #22 Ford Fusion - 2016 Ford Fusion | 00:50.6089 | 15.8108 | 15.9680 | 18.8301 | F:0,Road Course - R:0,Road Course |
89.8 -
82.4
86.3 - 84.3 |
47.1% | AIControl |
28 | #22 Ford Fusion - 2016 Ford Fusion | 00:48.4113 | 16.0250 | 15.6890 | 16.6973 | F:0,Road Course - R:0,Road Course |
89.4 -
81.6
85.5 - 83.5 |
43.5% | AIControl |
29 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.2760 | 15.7766 | 15.7272 | 15.7722 | F:0,Road Course - R:0,Road Course |
89.0 -
80.4
84.7 - 82.4 |
40% | AIControl |
30 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.2910 | 15.7827 | 15.7151 | 15.7932 | F:0,Road Course - R:0,Road Course |
88.2 -
79.6
83.9 - 81.6 |
36.1% | AIControl |
31 | #22 Ford Fusion - 2016 Ford Fusion | 00:55.0981 | 15.7913 | 18.9827 | 20.3242 | F:0,Road Course - R:0,Road Course |
87.8 -
78.4
83.1 - 80.4 |
33.3% | AIControl |
32 | #22 Ford Fusion - 2016 Ford Fusion | 00:59.0244 | 22.1204 | 19.1902 | 17.7139 | F:0,Road Course - R:0,Road Course |
87.5 -
77.6
82.4 - 79.6 |
30.2% | AIControl |
33 (P: 38.5328) | #22 Ford Fusion - 2016 Ford Fusion | 01:19.0710 | 16.2317 | 15.9368 | 46.9026 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
34 | #22 Ford Fusion - 2016 Ford Fusion | 00:59.0972 | 27.1438 | 15.8220 | 16.1313 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 98.8 |
96.1% | AIControl |
35 | #22 Ford Fusion - 2016 Ford Fusion | 01:04.6379 | 21.5750 | 21.8401 | 21.2229 | F:0,Road Course - R:0,Road Course |
98.8 -
98.0
98.4 - 98.0 |
94.1% | AIControl |
36 | #22 Ford Fusion - 2016 Ford Fusion | 00:48.4131 | 17.0251 | 15.7065 | 15.6814 | F:0,Road Course - R:0,Road Course |
98.0 -
96.9
97.3 - 97.3 |
91% | AIControl |
37 | #22 Ford Fusion - 2016 Ford Fusion | 00:52.8135 | 15.8762 | 20.0298 | 16.9075 | F:0,Road Course - R:0,Road Course |
97.6 -
95.7
96.5 - 96.1 |
87.8% | AIControl |
38 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.1462 | 15.7290 | 15.6750 | 15.7422 | F:0,Road Course - R:0,Road Course |
97.3 -
94.9
95.7 - 95.3 |
83.9% | AIControl |
39 (P: 37.329) | #22 Ford Fusion - 2016 Ford Fusion | 01:17.1921 | 15.7822 | 15.7131 | 45.6968 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
40 | #22 Ford Fusion - 2016 Ford Fusion | 00:58.6731 | 27.1458 | 15.8003 | 15.7271 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 98.8 |
96.1% | AIControl |
41 | #22 Ford Fusion - 2016 Ford Fusion | 00:49.4053 | 15.7590 | 15.7695 | 17.8767 | F:0,Road Course - R:0,Road Course |
98.8 -
98.0
98.4 - 98.0 |
92.2% | AIControl |
42 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.5107 | 15.9502 | 15.7634 | 15.7971 | F:0,Road Course - R:0,Road Course |
98.4 -
96.9
97.6 - 97.3 |
88.6% | AIControl |
43 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.4163 | 15.7939 | 15.7080 | 15.9143 | F:0,Road Course - R:0,Road Course |
97.6 -
95.7
96.9 - 96.1 |
85.5% | AIControl |
44 | #22 Ford Fusion - 2016 Ford Fusion | 00:48.7598 | 17.0667 | 15.9656 | 15.7275 | F:0,Road Course - R:0,Road Course |
97.3 -
94.9
96.1 - 95.3 |
81.6% | AIControl |
45 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.5393 | 15.8252 | 15.7456 | 15.9685 | F:0,Road Course - R:0,Road Course |
96.9 -
93.7
95.3 - 94.5 |
78% | AIControl |
46 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.1377 | 15.7400 | 15.6733 | 15.7244 | F:0,Road Course - R:0,Road Course |
96.1 -
92.9
94.5 - 93.3 |
74.5% | AIControl |
47 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.2278 | 15.8022 | 15.7004 | 15.7251 | F:0,Road Course - R:0,Road Course |
95.7 -
91.8
93.7 - 92.5 |
71% | AIControl |
48 | #22 Ford Fusion - 2016 Ford Fusion | 00:50.1653 | 17.8235 | 16.6199 | 15.7219 | F:0,Road Course - R:0,Road Course |
94.9 -
91.0
92.9 - 91.8 |
67.5% | AIControl |
49 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3669 | 15.7109 | 15.8362 | 15.8198 | F:0,Road Course - R:0,Road Course |
94.5 -
89.8
92.2 - 91.0 |
63.5% | AIControl |
50 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.1055 | 15.7139 | 15.6775 | 15.7141 | F:0,Road Course - R:0,Road Course |
94.1 -
88.6
91.4 - 90.2 |
60% | AIControl |
51 | #22 Ford Fusion - 2016 Ford Fusion | 00:48.5654 | 16.0784 | 16.7478 | 15.7393 | F:0,Road Course - R:0,Road Course |
93.3 -
87.8
90.6 - 89.0 |
56.5% | AIControl |
52 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3289 | 15.8333 | 15.7039 | 15.7917 | F:0,Road Course - R:0,Road Course |
92.9 -
86.7
89.8 - 88.2 |
52.9% | AIControl |
53 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.4861 | 15.9502 | 15.7417 | 15.7942 | F:0,Road Course - R:0,Road Course |
92.5 -
85.9
89.0 - 87.5 |
49.4% | AIControl |
54 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.2883 | 15.7822 | 15.7036 | 15.8025 | F:0,Road Course - R:0,Road Course |
92.2 -
84.7
88.2 - 86.3 |
45.5% | AIControl |
55 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3472 | 15.7646 | 15.7864 | 15.7961 | F:0,Road Course - R:0,Road Course |
91.4 -
83.9
87.8 - 85.5 |
42% | AIControl |
56 | #22 Ford Fusion - 2016 Ford Fusion | 00:49.0066 | 15.7800 | 15.7036 | 17.5229 | F:0,Road Course - R:0,Road Course |
91.0 -
82.7
87.1 - 84.7 |
38.4% | AIControl |
57 | #22 Ford Fusion - 2016 Ford Fusion | 00:48.1125 | 15.8223 | 15.7249 | 16.5654 | F:0,Road Course - R:0,Road Course |
90.6 -
82.0
86.3 - 83.5 |
34.9% | AIControl |
58 (P: 36.5072) | #22 Ford Fusion - 2016 Ford Fusion | 01:16.2249 | 15.7153 | 15.6729 | 44.8367 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
59 | #22 Ford Fusion - 2016 Ford Fusion | 00:59.0952 | 27.1841 | 15.7566 | 16.1545 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 98.8 |
96.1% | AIControl |
60 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3984 | 15.9832 | 15.6926 | 15.7227 | F:0,Road Course - R:0,Road Course |
98.8 -
97.6
98.4 - 98.0 |
92.5% | AIControl |
61 | #22 Ford Fusion - 2016 Ford Fusion | 00:51.6008 | 16.6428 | 17.7471 | 17.2109 | F:0,Road Course - R:0,Road Course |
98.4 -
96.9
97.6 - 97.3 |
88.6% | AIControl |
62 | #22 Ford Fusion - 2016 Ford Fusion | 00:47.1694 | 15.7131 | 15.6692 | 15.7871 | F:0,Road Course - R:0,Road Course |
97.6 -
95.7
96.9 - 96.1 |
85.1% | AIControl |
Average | 00:58.8444 | 18.8911 | 17.9456 | 22.0077 | |||||
Best possible | 00:46.8696 | 15.6463 | 15.5763 | 15.6470 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | # 2 Ford Fusion - 2016 Ford Fusion | 00:56.8960 | 20.2855 | 18.6335 | 17.9770 | F:0,Road Course - R:0,Road Course |
98.0 -
98.0
98.0 - 98.0 |
95.3% | AIControl |
2 | # 2 Ford Fusion - 2016 Ford Fusion | 00:53.8502 | 17.7838 | 18.0462 | 18.0202 | F:0,Road Course - R:0,Road Course |
97.6 -
96.9
97.3 - 97.3 |
92.9% | AIControl |
3 | # 2 Ford Fusion - 2016 Ford Fusion | 00:54.0543 | 18.0376 | 18.0089 | 18.0078 | F:0,Road Course - R:0,Road Course |
97.3 -
96.1
96.5 - 96.5 |
90.6% | AIControl |
4 | # 2 Ford Fusion - 2016 Ford Fusion | 01:00.3343 | 18.1388 | 18.0306 | 24.1649 | F:0,Road Course - R:0,Road Course |
96.5 -
94.9
95.7 - 95.7 |
88.6% | AIControl |
5 (P: 137.2957) | # 2 Ford Fusion - 2016 Ford Fusion | 01:22.0941 | 42.4677 | 16.1483 | 23.4782 | F:0,Road Course - R:0,Road Course |
95.3 -
92.5
94.5 - 93.7 |
85.1% | AIControl |
6 | # 2 Ford Fusion - 2016 Ford Fusion | 03:24.8265 | 157.9344 | 21.1912 | 25.7009 | F:0,Road Course - R:0,Road Course |
99.2 -
98.8
99.2 - 99.2 |
97.3% | AIControl |
Average | 01:25.3425 | 45.7746 | 18.3431 | 21.2248 | |||||
Best possible | 00:51.9091 | 17.7838 | 16.1483 | 17.9770 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:46.8837 | |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.0764 | 0.1927 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.0883 | 0.2046 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.1055 | 0.2218 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.1377 | 0.254 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.1462 | 0.2625 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.1694 | 0.2857 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.2278 | 0.3441 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.2642 | 0.3805 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.2760 | 0.3923 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.2883 | 0.4046 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.2910 | 0.4073 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3027 | 0.419 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3289 | 0.4452 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3472 | 0.4635 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3481 | 0.4644 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3669 | 0.4832 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.3984 | 0.5147 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.4163 | 0.5326 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:47.4861 | 0.6024 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 00:46.8837 | |
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 00:53.8502 | 6.9665 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 93.79% <> 3.3441 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 89.40% <> 4.9691 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Joey L (AI) | 15.6463 | - |
Brad K (AI) | 17.7838 | 2.1375 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Joey L (AI) | 15.5763 | - |
Brad K (AI) | 16.1483 | 0.5720 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Joey L (AI) | 15.6470 | - |
Brad K (AI) | 17.9770 | 2.3300 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | 2016 Toyota Camry |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Guilherme S (AI) |
Led most laps | Guilherme S (AI) |
Best lap | Guilherme S (AI) (00:46.8666) |
Max minutes | 60 |
Lasted laps | 11 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Aids |
---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 10 | 18 | Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 11 | Engine | 00:46.8666 | 77.55% | 0 | AIControl |
2 | ▴ 1 | 78 | Martin J (AI) | #78 Toyota Camry - 2016 Toyota Camry | 3 | Accident | 00:46.9332 | - | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #18 Toyota Camry - 2016 Toyota Camry | 00:48.5285 | 17.2198 | 15.6202 | 15.6885 | F:0,Road Course - R:0,Road Course |
98.4 -
98.0
98.0 - 98.0 |
94.9% | AIControl |
2 | #18 Toyota Camry - 2016 Toyota Camry | 00:46.8666 | 15.6496 | 15.5757 | 15.6413 | F:0,Road Course - R:0,Road Course |
98.0 -
97.3
97.6 - 97.3 |
91.4% | AIControl |
3 | #18 Toyota Camry - 2016 Toyota Camry | 00:55.8142 | 15.6385 | 16.0527 | 24.1230 | F:0,Road Course - R:0,Road Course |
97.3 -
96.1
96.9 - 96.5 |
89% | AIControl |
4 | #18 Toyota Camry - 2016 Toyota Camry | 01:00.0709 | 17.9523 | 15.5700 | 26.5486 | F:0,Road Course - R:0,Road Course |
96.5 -
94.1
95.7 - 94.9 |
86.3% | AIControl |
5 | #18 Toyota Camry - 2016 Toyota Camry | 00:55.7040 | 21.4164 | 15.7174 | 18.5702 | F:0,Road Course - R:0,Road Course |
96.1 -
92.9
94.9 - 94.1 |
82.7% | AIControl |
6 | #18 Toyota Camry - 2016 Toyota Camry | 01:36.2071 | 52.4170 | 21.5471 | 22.2430 | F:0,Road Course - R:0,Road Course |
94.9 -
91.8
93.7 - 92.9 |
80% | AIControl |
7 | #18 Toyota Camry - 2016 Toyota Camry | 02:05.4142 | 41.4070 | 43.1816 | 40.8256 | F:0,Road Course - R:0,Road Course |
93.7 -
90.6
92.5 - 91.8 |
78.4% | AIControl |
8 | #18 Toyota Camry - 2016 Toyota Camry | 01:06.5457 | 22.9312 | 21.6316 | 21.9830 | F:0,Road Course - R:0,Road Course |
92.9 -
89.8
91.8 - 91.0 |
76.1% | AIControl |
9 | #18 Toyota Camry - 2016 Toyota Camry | 02:12.3291 | 36.9960 | 48.0537 | 47.2794 | F:0,Road Course - R:0,Road Course |
91.4 -
88.6
90.6 - 89.8 |
74.1% | AIControl |
10 | #18 Toyota Camry - 2016 Toyota Camry | 00:58.8436 | 23.6340 | 16.5064 | 18.7032 | F:0,Road Course - R:0,Road Course |
90.6 -
87.5
89.8 - 89.0 |
70.2% | AIControl |
11 | #18 Toyota Camry - 2016 Toyota Camry | 00:47.3625 | 15.8546 | 15.7110 | 15.7969 | F:0,Road Course - R:0,Road Course |
90.2 -
86.7
89.0 - 87.8 |
66.7% | AIControl |
Average | 01:12.1532 | 25.5560 | 22.2879 | 24.3093 | |||||
Best possible | 00:46.8498 | 15.6385 | 15.5700 | 15.6413 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #78 Toyota Camry - 2016 Toyota Camry | 00:48.7985 | 17.4840 | 15.6488 | 15.6657 | F:0,Road Course - R:0,Road Course |
98.4 -
98.0
98.0 - 98.0 |
94.5% | AIControl |
2 | #78 Toyota Camry - 2016 Toyota Camry | 00:46.9332 | 15.6759 | 15.6058 | 15.6514 | F:0,Road Course - R:0,Road Course |
97.6 -
96.9
97.6 - 97.3 |
91.4% | AIControl |
3 | #78 Toyota Camry - 2016 Toyota Camry | 00:56.4929 | 15.6413 | 16.4130 | 24.4385 | F:0,Road Course - R:0,Road Course |
97.3 -
96.1
96.9 - 96.5 |
89% | AIControl |
Average | 00:50.7415 | 16.2671 | 15.8892 | 18.5852 | |||||
Best possible | 00:46.8985 | 15.6413 | 15.6058 | 15.6514 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 00:46.8666 | |
Martin J (AI) | #78 Toyota Camry - 2016 Toyota Camry | 00:46.9332 | 0.0666 |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 00:47.3625 | 0.4959 |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 00:48.5285 | 1.6619 |
Martin J (AI) | #78 Toyota Camry - 2016 Toyota Camry | 00:48.7985 | 1.9319 |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 00:55.7040 | 8.8374 |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 00:55.8142 | 8.9476 |
Martin J (AI) | #78 Toyota Camry - 2016 Toyota Camry | 00:56.4929 | 9.6263 |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 00:58.8436 | 11.977 |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 01:00.0709 | 13.2043 |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 01:06.5457 | 19.6791 |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 01:36.2071 | 49.3405 |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 02:05.4142 | 78.5476 |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 02:12.3291 | 85.4625 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 00:46.8666 | |
Martin J (AI) | #78 Toyota Camry - 2016 Toyota Camry | 00:46.9332 | 0.0666 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Guilherme S (AI) | #18 Toyota Camry - 2016 Toyota Camry | 77.55% <> 10.5236 |
Martin J (AI) | #78 Toyota Camry - 2016 Toyota Camry | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Guilherme S (AI) | 15.6385 | - |
Martin J (AI) | 15.6413 | 0.0028 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Guilherme S (AI) | 15.5700 | - |
Martin J (AI) | 15.6058 | 0.0358 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Guilherme S (AI) | 15.6413 | - |
Martin J (AI) | 15.6514 | 0.0101 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Anos 70 |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Marcio J (AI) |
Led most laps | Marcio J (AI) |
Best lap | Gustavo C (AI) (00:48.0454) |
Max minutes | 60 |
Lasted laps | 4 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | ▴ 27 | Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 4 | DNF | 00:57.4873 | 99.95% | 0 | AIControl |
2 | ▴ 12 | Gustavo C (AI) | Gustavo Castanon #10 - Maverick GT (Anos 70) | 4 | DNF | 00:48.0454 | 82.35% | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 00:58.6667 | 20.3788 | 19.1100 | 19.1779 | F:0,Dry - R:0,Dry |
95.7 -
95.3
96.5 - 96.1 |
92.9% | AIControl |
2 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 00:57.5149 | 19.1868 | 19.1520 | 19.1762 | F:0,Dry - R:0,Dry |
94.5 -
93.7
95.3 - 94.9 |
87.8% | AIControl |
3 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 00:57.5182 | 19.1877 | 19.1505 | 19.1800 | F:0,Dry - R:0,Dry |
93.3 -
91.8
94.1 - 93.3 |
82.7% | AIControl |
4 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 00:57.4873 | 19.1796 | 19.1417 | 19.1660 | F:0,Dry - R:0,Dry |
91.8 -
89.8
92.9 - 91.8 |
77.6% | AIControl |
Average | 00:57.7968 | 19.4832 | 19.1386 | 19.1750 | |||||
Best possible | 00:57.4556 | 19.1796 | 19.1100 | 19.1660 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Gustavo Castanon #10 - Maverick GT (Anos 70) | 00:51.7371 | 19.4408 | 16.3172 | 15.9791 | F:0,Dry - R:0,Dry |
96.1 -
95.7
96.5 - 96.5 |
92.5% | AIControl |
2 | Gustavo Castanon #10 - Maverick GT (Anos 70) | 00:48.0454 | 15.8188 | 15.7315 | 16.4951 | F:0,Dry - R:0,Dry |
94.9 -
93.7
95.3 - 94.9 |
89% | AIControl |
3 | Gustavo Castanon #10 - Maverick GT (Anos 70) | 00:50.9072 | 15.9836 | 15.8266 | 19.0970 | F:0,Dry - R:0,Dry |
93.7 -
91.8
94.5 - 93.3 |
85.9% | AIControl |
4 | Gustavo Castanon #10 - Maverick GT (Anos 70) | 01:02.1443 | 24.2862 | 18.3617 | 19.4964 | F:0,Dry - R:0,Dry |
91.4 -
90.2
92.5 - 91.8 |
82% | AIControl |
Average | 00:53.2086 | 18.8824 | 16.5593 | 17.7669 | |||||
Best possible | 00:47.5294 | 15.8188 | 15.7315 | 15.9791 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Gustavo C (AI) | Gustavo Castanon #10 - Maverick GT (Anos 70) | 00:48.0454 | |
Gustavo C (AI) | Gustavo Castanon #10 - Maverick GT (Anos 70) | 00:50.9072 | 2.8618 |
Gustavo C (AI) | Gustavo Castanon #10 - Maverick GT (Anos 70) | 00:51.7371 | 3.6917 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 00:57.4873 | 9.4419 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 00:57.5149 | 9.4695 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 00:57.5182 | 9.4728 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 00:58.6667 | 10.6213 |
Gustavo C (AI) | Gustavo Castanon #10 - Maverick GT (Anos 70) | 01:02.1443 | 14.0989 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Gustavo C (AI) | Gustavo Castanon #10 - Maverick GT (Anos 70) | 00:48.0454 | |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 00:57.4873 | 9.4419 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 99.95% <> 0.0292 |
Gustavo C (AI) | Gustavo Castanon #10 - Maverick GT (Anos 70) | 82.35% <> 8.4804 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Gustavo C (AI) | 15.8188 | - |
Marcio J (AI) | 19.1796 | 3.3608 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Gustavo C (AI) | 15.7315 | - |
Marcio J (AI) | 19.1100 | 3.3785 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Gustavo C (AI) | 15.9791 | - |
Marcio J (AI) | 19.1660 | 3.1869 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | BMW 125i |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Rob C (AI) |
Led most laps | Rob C (AI) |
Best lap | Rob C (AI) (01:05.4823) |
Max minutes | 60 |
Lasted laps | 50 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 37 | 6 | Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 50 | Accident | 01:05.4823 | 99.43% | 0 | 1 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:06.3282 | 22.4510 | 21.9052 | 21.9720 | F:2,Medium - R:2,Medium |
97.6 -
97.6
97.6 - 97.6 |
98% | AIControl |
2 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.6753 | 21.9448 | 21.8687 | 21.8618 | F:2,Medium - R:2,Medium |
96.9 -
96.5
96.9 - 96.5 |
96.9% | AIControl |
3 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7492 | 21.9428 | 21.8692 | 21.9372 | F:2,Medium - R:2,Medium |
96.1 -
95.3
95.7 - 95.3 |
95.7% | AIControl |
4 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.8076 | 21.9392 | 21.9017 | 21.9667 | F:2,Medium - R:2,Medium |
95.3 -
94.1
94.9 - 94.5 |
94.9% | AIControl |
5 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:34.1916 | 46.1947 | 21.9140 | 26.0829 | F:2,Medium - R:2,Medium |
94.1 -
92.9
93.7 - 93.3 |
93.7% | AIControl |
6 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 02:07.4814 | 42.7695 | 43.1567 | 41.5552 | F:2,Medium - R:2,Medium |
92.2 -
91.4
92.2 - 91.8 |
92.9% | AIControl |
7 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:07.7930 | 24.0084 | 21.8395 | 21.9451 | F:2,Medium - R:2,Medium |
91.4 -
90.6
91.4 - 91.0 |
91.8% | AIControl |
8 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 02:11.7029 | 36.6181 | 48.0491 | 47.0357 | F:2,Medium - R:2,Medium |
89.8 -
89.0
89.8 - 89.4 |
91% | AIControl |
9 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:07.8292 | 24.1727 | 21.8317 | 21.8248 | F:2,Medium - R:2,Medium |
89.0 -
87.8
89.0 - 88.2 |
89.4% | AIControl |
10 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.4823 | 21.8004 | 21.8044 | 21.8776 | F:2,Medium - R:2,Medium |
88.2 -
86.7
88.2 - 87.5 |
88.2% | AIControl |
11 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.5917 | 21.8809 | 21.8430 | 21.8678 | F:2,Medium - R:2,Medium |
87.5 -
85.5
87.5 - 86.3 |
87.1% | AIControl |
12 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7120 | 21.9080 | 21.8607 | 21.9432 | F:2,Medium - R:2,Medium |
86.7 -
84.7
86.3 - 85.5 |
85.9% | AIControl |
13 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7794 | 21.9543 | 21.8809 | 21.9442 | F:2,Medium - R:2,Medium |
85.5 -
83.5
85.5 - 84.3 |
85.1% | AIControl |
14 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7928 | 21.9579 | 21.8861 | 21.9489 | F:2,Medium - R:2,Medium |
84.7 -
82.4
84.7 - 83.1 |
83.9% | AIControl |
15 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.8019 | 21.9706 | 21.8898 | 21.9415 | F:2,Medium - R:2,Medium |
83.9 -
81.2
83.9 - 82.4 |
82.7% | AIControl |
16 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.8097 | 21.9662 | 21.8951 | 21.9484 | F:2,Medium - R:2,Medium |
83.1 -
80.4
83.1 - 81.2 |
82% | AIControl |
17 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7930 | 21.9648 | 21.8920 | 21.9362 | F:2,Medium - R:2,Medium |
82.4 -
79.2
82.0 - 80.4 |
80.8% | AIControl |
18 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.8231 | 21.9708 | 21.8956 | 21.9567 | F:2,Medium - R:2,Medium |
81.6 -
78.0
81.2 - 79.2 |
79.6% | AIControl |
19 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.8260 | 21.9674 | 21.9174 | 21.9413 | F:2,Medium - R:2,Medium |
80.8 -
77.3
80.4 - 78.4 |
78.8% | AIControl |
20 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7722 | 21.9696 | 21.9156 | 21.8870 | F:2,Medium - R:2,Medium |
80.0 -
76.1
79.6 - 77.3 |
77.3% | AIControl |
21 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:06.3369 | 22.4906 | 21.8947 | 21.9517 | F:2,Medium - R:2,Medium |
79.2 -
74.9
78.8 - 76.1 |
76.5% | AIControl |
22 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7712 | 21.9751 | 21.8549 | 21.9413 | F:2,Medium - R:2,Medium |
78.0 -
73.7
78.0 - 74.9 |
75.3% | AIControl |
23 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7468 | 21.9730 | 21.8815 | 21.8923 | F:2,Medium - R:2,Medium |
77.3 -
72.5
77.3 - 74.1 |
74.1% | AIControl |
24 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.8120 | 21.9668 | 21.8934 | 21.9518 | F:2,Medium - R:2,Medium |
76.5 -
71.8
76.1 - 72.9 |
72.9% | AIControl |
25 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7601 | 21.9269 | 21.8508 | 21.9824 | F:2,Medium - R:2,Medium |
75.7 -
70.6
75.3 - 72.2 |
71.8% | AIControl |
26 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.5531 | 21.8065 | 21.8447 | 21.9019 | F:2,Medium - R:2,Medium |
74.9 -
69.4
74.5 - 71.0 |
70.6% | AIControl |
27 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7062 | 21.9156 | 21.8806 | 21.9099 | F:2,Medium - R:2,Medium |
74.1 -
68.2
73.7 - 69.8 |
69.4% | AIControl |
28 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7256 | 21.9231 | 21.8833 | 21.9192 | F:2,Medium - R:2,Medium |
73.3 -
67.5
72.5 - 69.0 |
67.8% | AIControl |
29 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.5962 | 21.9204 | 21.8513 | 21.8245 | F:2,Medium - R:2,Medium |
72.5 -
66.3
71.8 - 67.8 |
66.7% | AIControl |
30 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.6938 | 21.9143 | 21.8757 | 21.9038 | F:2,Medium - R:2,Medium |
71.8 -
65.1
71.0 - 67.1 |
65.5% | AIControl |
31 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7188 | 21.9214 | 21.8762 | 21.9211 | F:2,Medium - R:2,Medium |
71.0 -
63.9
70.2 - 65.9 |
63.9% | AIControl |
32 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7456 | 21.9429 | 21.8833 | 21.9194 | F:2,Medium - R:2,Medium |
70.2 -
62.7
69.4 - 64.7 |
62.7% | AIControl |
33 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.5747 | 21.8179 | 21.8540 | 21.9028 | F:2,Medium - R:2,Medium |
69.4 -
62.0
68.2 - 63.5 |
61.6% | AIControl |
34 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.6992 | 21.9158 | 21.8713 | 21.9121 | F:2,Medium - R:2,Medium |
68.2 -
60.8
67.5 - 62.7 |
60% | AIControl |
35 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7380 | 21.9360 | 21.8865 | 21.9155 | F:2,Medium - R:2,Medium |
67.5 -
59.6
66.7 - 61.6 |
58.8% | AIControl |
36 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7356 | 21.9146 | 21.8860 | 21.9351 | F:2,Medium - R:2,Medium |
66.7 -
58.8
65.9 - 60.8 |
57.6% | AIControl |
37 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7783 | 21.9341 | 21.8960 | 21.9482 | F:2,Medium - R:2,Medium |
65.9 -
57.6
64.7 - 59.6 |
56.5% | AIControl |
38 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7842 | 21.9607 | 21.8738 | 21.9497 | F:2,Medium - R:2,Medium |
65.1 -
56.5
63.9 - 58.4 |
55.3% | AIControl |
39 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.8118 | 21.9675 | 21.8926 | 21.9517 | F:2,Medium - R:2,Medium |
64.3 -
55.3
63.1 - 57.6 |
54.1% | AIControl |
40 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.8105 | 21.9648 | 21.8923 | 21.9534 | F:2,Medium - R:2,Medium |
63.5 -
54.5
62.4 - 56.5 |
53.3% | AIControl |
41 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7761 | 21.9436 | 21.8953 | 21.9373 | F:2,Medium - R:2,Medium |
62.7 -
53.3
61.6 - 55.7 |
52.2% | AIControl |
42 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7510 | 21.9014 | 21.8989 | 21.9507 | F:2,Medium - R:2,Medium |
62.0 -
52.2
60.8 - 54.5 |
51% | AIControl |
43 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7776 | 21.9639 | 21.8970 | 21.9167 | F:2,Medium - R:2,Medium |
61.2 -
51.4
59.6 - 53.7 |
49.8% | AIControl |
44 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.8171 | 21.9648 | 21.8994 | 21.9529 | F:2,Medium - R:2,Medium |
60.4 -
50.2
58.8 - 52.5 |
48.6% | AIControl |
45 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7693 | 21.9343 | 21.8994 | 21.9355 | F:2,Medium - R:2,Medium |
59.6 -
49.0
58.0 - 51.4 |
47.5% | AIControl |
46 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7703 | 21.9451 | 21.8784 | 21.9468 | F:2,Medium - R:2,Medium |
58.8 -
48.2
57.3 - 50.6 |
46.7% | AIControl |
47 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7805 | 21.9717 | 21.8809 | 21.9280 | F:2,Medium - R:2,Medium |
58.0 -
47.1
56.5 - 49.4 |
45.5% | AIControl |
48 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7688 | 21.9702 | 21.9004 | 21.8982 | F:2,Medium - R:2,Medium |
57.3 -
45.9
55.3 - 48.6 |
44.3% | AIControl |
49 (P: 115.3102) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:11.5105 | 21.9485 | 21.7290 | 27.8330 | F:2,Medium - R:2,Medium |
56.1 -
44.7
54.5 - 47.5 |
43.1% | AIControl |
50 | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 02:57.3003 | 133.6633 | 21.8323 | 21.8047 | F:2,Medium - R:2,Medium |
99.2 -
98.8
99.2 - 98.8 |
98.8% | AIControl |
Average | 01:11.3172 | 25.4729 | 22.8250 | 23.0193 | |||||
Best possible | 01:05.3341 | 21.8004 | 21.7290 | 21.8047 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.4823 | |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.5531 | 0.0708 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.5747 | 0.0924 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.5917 | 0.1094 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.5962 | 0.1139 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.6753 | 0.193 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.6938 | 0.2115 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.6992 | 0.2169 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7062 | 0.2239 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7120 | 0.2297 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7188 | 0.2365 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7256 | 0.2433 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7356 | 0.2533 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7380 | 0.2557 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7456 | 0.2633 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7468 | 0.2645 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7492 | 0.2669 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7510 | 0.2687 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7601 | 0.2778 |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.7688 | 0.2865 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 01:05.4823 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Rob C (AI) | Team JCT600 with GardX #6 Rob Collard '15 - BMW 125i | 99.43% <> 0.375 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Rob C (AI) | 21.8004 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Rob C (AI) | 21.7290 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Rob C (AI) | 21.8047 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Camaro 1970 |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Luiz S (AI) |
Led most laps | Luiz S (AI) |
Best lap | Luiz S (AI) (00:45.1151) |
Max minutes | 60 |
Lasted laps | 58 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 5 | 11 | Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 58 | 01:01:07.9460 | 00:45.1151 | 81.89% | 4 | 11 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:48.9671 | 17.4833 | 15.6754 | 15.8085 | F:0,Slicks - R:0,Slicks |
98.8 -
98.8
99.2 - 98.8 |
97.3% | AIControl |
2 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:46.1218 | 15.7624 | 15.2935 | 15.0659 | F:0,Slicks - R:0,Slicks |
98.8 -
98.4
98.8 - 98.4 |
95.3% | AIControl |
3 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.1770 | 15.0341 | 15.1131 | 15.0297 | F:0,Slicks - R:0,Slicks |
98.4 -
97.6
98.4 - 98.0 |
93.3% | AIControl |
4 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:01.4595 | 18.0708 | 21.9070 | 21.4816 | F:0,Slicks - R:0,Slicks |
97.6 -
97.3
98.0 - 97.6 |
91.8% | AIControl |
5 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.9048 | 15.6925 | 15.0620 | 15.1503 | F:0,Slicks - R:0,Slicks |
97.6 -
96.9
97.6 - 97.3 |
89.4% | AIControl |
6 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:52.5557 | 39.6798 | 30.0665 | 42.8094 | F:0,Slicks - R:0,Slicks |
96.9 -
96.1
97.3 - 96.9 |
88.6% | AIControl |
7 (P: 63.4498) | #11 Luiz Fernando Schauer - Camaro 1970 | 02:39.3658 | 42.8923 | 42.9342 | 73.5392 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
8 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:57.3359 | 27.1537 | 15.1068 | 15.0755 | F:0,Slicks - R:0,Slicks |
99.6 -
99.2
99.6 - 99.6 |
97.6% | AIControl |
9 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:51.8245 | 21.2999 | 43.5984 | 46.9262 | F:0,Slicks - R:0,Slicks |
98.8 -
98.8
98.8 - 98.8 |
96.9% | AIControl |
10 (P: 40.6372) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:25.9794 | 20.1892 | 15.1127 | 50.6775 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
11 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:57.2802 | 27.2028 | 15.0652 | 15.0123 | F:0,Slicks - R:0,Slicks |
99.6 -
99.2
99.6 - 99.6 |
97.6% | AIControl |
12 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:56.0933 | 15.6251 | 18.7347 | 21.7335 | F:0,Slicks - R:0,Slicks |
99.2 -
98.8
99.2 - 99.2 |
96.5% | AIControl |
13 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:03.2341 | 21.9398 | 21.7648 | 19.5295 | F:0,Slicks - R:0,Slicks |
98.8 -
98.4
98.8 - 98.8 |
94.9% | AIControl |
14 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.1151 | 15.0619 | 15.0333 | 15.0199 | F:0,Slicks - R:0,Slicks |
98.8 -
98.0
98.8 - 98.4 |
92.9% | AIControl |
15 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.4424 | 15.0759 | 15.0522 | 15.3142 | F:0,Slicks - R:0,Slicks |
98.4 -
97.3
98.4 - 98.0 |
90.6% | AIControl |
16 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:46.9196 | 16.8138 | 15.0360 | 15.0697 | F:0,Slicks - R:0,Slicks |
98.0 -
96.9
98.0 - 97.3 |
88.6% | AIControl |
17 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:02.3440 | 18.7321 | 21.6660 | 21.9459 | F:0,Slicks - R:0,Slicks |
97.6 -
96.5
97.6 - 96.9 |
87.5% | AIControl |
18 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:05.8008 | 21.9675 | 21.8535 | 21.9797 | F:0,Slicks - R:0,Slicks |
97.3 -
95.7
97.6 - 96.5 |
86.7% | AIControl |
19 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:05.7808 | 21.9548 | 21.8961 | 21.9298 | F:0,Slicks - R:0,Slicks |
96.9 -
95.3
97.3 - 96.1 |
85.9% | AIControl |
20 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:05.8157 | 21.9730 | 21.9011 | 21.9415 | F:0,Slicks - R:0,Slicks |
96.5 -
94.9
96.9 - 95.7 |
85.1% | AIControl |
21 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:05.5861 | 21.9833 | 21.7559 | 21.8469 | F:0,Slicks - R:0,Slicks |
96.1 -
94.1
96.5 - 95.3 |
84.3% | AIControl |
22 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:54.4410 | 21.8560 | 17.2976 | 15.2875 | F:0,Slicks - R:0,Slicks |
95.7 -
93.7
96.1 - 94.9 |
82.7% | AIControl |
23 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:00.4115 | 30.2827 | 15.0564 | 15.0724 | F:0,Slicks - R:0,Slicks |
94.9 -
92.9
95.3 - 94.1 |
80% | AIControl |
24 (P: 43.6353) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:25.7554 | 16.0131 | 15.2673 | 54.4750 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
25 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:58.9449 | 26.4034 | 15.1438 | 17.3977 | F:0,Slicks - R:0,Slicks |
99.6 -
99.2
99.6 - 99.6 |
97.6% | AIControl |
26 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.2960 | 15.0106 | 15.1671 | 15.1183 | F:0,Slicks - R:0,Slicks |
99.2 -
98.8
99.2 - 99.2 |
95.3% | AIControl |
27 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.1997 | 15.0743 | 15.0515 | 15.0739 | F:0,Slicks - R:0,Slicks |
99.2 -
98.4
99.2 - 98.8 |
92.9% | AIControl |
28 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.4698 | 15.1971 | 15.0448 | 15.2279 | F:0,Slicks - R:0,Slicks |
98.8 -
98.0
98.8 - 98.4 |
91% | AIControl |
29 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:54.2950 | 21.7369 | 17.2896 | 15.2686 | F:0,Slicks - R:0,Slicks |
98.4 -
97.3
98.4 - 98.0 |
89% | AIControl |
30 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:47.7152 | 15.0139 | 15.0491 | 17.6522 | F:0,Slicks - R:0,Slicks |
98.4 -
96.9
98.4 - 97.6 |
86.7% | AIControl |
31 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.2268 | 15.0872 | 15.0693 | 15.0703 | F:0,Slicks - R:0,Slicks |
98.0 -
96.5
98.0 - 97.3 |
84.7% | AIControl |
32 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:49.8472 | 15.0647 | 15.1304 | 19.6521 | F:0,Slicks - R:0,Slicks |
97.6 -
95.7
97.6 - 96.5 |
82.7% | AIControl |
33 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:03.7695 | 22.0750 | 21.5647 | 20.1299 | F:0,Slicks - R:0,Slicks |
97.3 -
95.3
97.3 - 96.1 |
81.6% | AIControl |
34 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:49.5139 | 15.1721 | 17.2537 | 17.0881 | F:0,Slicks - R:0,Slicks |
96.9 -
94.9
97.3 - 95.7 |
80% | AIControl |
35 (P: 43.2894) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:26.0022 | 16.9641 | 16.3987 | 52.6394 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
36 (P: 41.3761) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:36.2200 | 27.8931 | 15.8823 | 52.4446 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
37 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:56.2068 | 26.1746 | 15.0188 | 15.0134 | F:0,Slicks - R:0,Slicks |
99.6 -
99.2
99.6 - 99.6 |
97.6% | AIControl |
38 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.2334 | 15.0591 | 15.0483 | 15.1260 | F:0,Slicks - R:0,Slicks |
99.2 -
98.8
99.2 - 99.2 |
95.7% | AIControl |
39 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:02.6572 | 18.9441 | 21.7937 | 21.9194 | F:0,Slicks - R:0,Slicks |
98.8 -
98.4
99.2 - 98.8 |
94.5% | AIControl |
40 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:57.0249 | 21.9187 | 19.8511 | 15.2551 | F:0,Slicks - R:0,Slicks |
98.8 -
97.6
98.8 - 98.4 |
93.3% | AIControl |
41 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.6133 | 15.3159 | 15.2971 | 15.0002 | F:0,Slicks - R:0,Slicks |
98.4 -
97.3
98.4 - 97.6 |
91% | AIControl |
42 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:47.0251 | 15.0898 | 16.8843 | 15.0510 | F:0,Slicks - R:0,Slicks |
98.0 -
96.9
98.0 - 97.3 |
89% | AIControl |
43 (P: 40.516) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:34.3389 | 27.9153 | 15.7844 | 50.6392 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
44 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:57.9785 | 27.1199 | 15.2031 | 15.6555 | F:0,Slicks - R:0,Slicks |
99.6 -
99.2
99.6 - 99.6 |
97.6% | AIControl |
45 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.1497 | 15.0488 | 15.0413 | 15.0596 | F:0,Slicks - R:0,Slicks |
99.2 -
98.8
99.2 - 99.2 |
95.7% | AIControl |
46 (P: 40.3331) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:34.6919 | 28.0354 | 15.8977 | 50.7588 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
47 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:00.0752 | 26.8174 | 18.1970 | 15.0608 | F:0,Slicks - R:0,Slicks |
99.6 -
99.2
99.6 - 99.6 |
97.6% | AIControl |
48 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:47.2649 | 15.0029 | 15.0229 | 17.2390 | F:0,Slicks - R:0,Slicks |
99.2 -
98.8
99.2 - 99.2 |
95.7% | AIControl |
49 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:47.8291 | 17.5715 | 15.0093 | 15.2483 | F:0,Slicks - R:0,Slicks |
99.2 -
98.4
99.2 - 98.8 |
93.3% | AIControl |
50 (P: 38.3871) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:23.5298 | 17.1316 | 16.9326 | 49.4656 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
51 (P: 38.75) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:31.9800 | 26.1646 | 15.9895 | 49.8259 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
52 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:56.1887 | 26.1672 | 15.0220 | 14.9995 | F:0,Slicks - R:0,Slicks |
99.6 -
99.2
99.6 - 99.6 |
97.6% | AIControl |
53 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.3335 | 14.9968 | 15.0129 | 15.3237 | F:0,Slicks - R:0,Slicks |
99.2 -
98.8
99.2 - 99.2 |
95.7% | AIControl |
54 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:46.5000 | 15.0066 | 15.0073 | 16.4861 | F:0,Slicks - R:0,Slicks |
99.2 -
98.4
99.2 - 98.8 |
93.3% | AIControl |
55 (P: 42.0463) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:21.2791 | 15.7195 | 15.0034 | 50.5562 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
56 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:06.2209 | 28.7332 | 19.0872 | 18.4006 | F:0,Slicks - R:0,Slicks |
99.6 -
99.2
99.6 - 99.6 |
98.4% | AIControl |
57 | #11 Luiz Fernando Schauer - Camaro 1970 | 00:47.4622 | 17.4417 | 15.0142 | 15.0063 | F:0,Slicks - R:0,Slicks |
99.2 -
98.8
99.2 - 99.2 |
96.5% | AIControl |
58 (P: 33.6199) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:22.4465 | 14.9990 | 15.6882 | 51.7593 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
Average | 01:03.1766 | 20.4622 | 17.8983 | 24.8161 | |||||
Best possible | 00:44.9997 | 14.9968 | 15.0034 | 14.9995 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.1151 | |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.1497 | 0.0346 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.1770 | 0.0619 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.1997 | 0.0846 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.2268 | 0.1117 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.2334 | 0.1183 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.2960 | 0.1809 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.3335 | 0.2184 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.4424 | 0.3273 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.4698 | 0.3547 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.6133 | 0.4982 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.9048 | 0.7897 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:46.1218 | 1.0067 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:46.5000 | 1.3849 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:46.9196 | 1.8045 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:47.0251 | 1.91 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:47.2649 | 2.1498 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:47.4622 | 2.3471 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:47.7152 | 2.6001 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:47.8291 | 2.714 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 00:45.1151 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 81.89% <> 8.1699 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Luiz S (AI) | 14.9968 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Luiz S (AI) | 15.0034 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Luiz S (AI) | 14.9995 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Citroen C-Elysee |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | John F (AI) |
Led most laps | John F (AI) |
Best lap | John F (AI) (00:57.4938) |
Max minutes | 60 |
Lasted laps | 4 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Aids |
---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 34 | 27 | John F (AI) | #27 John Filippi 2017 - Citroen C-Elysee | 4 | Accident | 00:57.4938 | 99.93% | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Fuel | Aids |
---|---|---|---|---|---|---|---|---|
1 | #27 John Filippi 2017 - Citroen C-Elysee | 01:00.0628 | 21.5206 | 19.3072 | 19.2351 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 92.2% | AIControl |
2 | #27 John Filippi 2017 - Citroen C-Elysee | 00:57.4938 | 19.1520 | 19.1445 | 19.1973 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 87.8% | AIControl |
3 | #27 John Filippi 2017 - Citroen C-Elysee | 00:57.5239 | 19.1531 | 19.1517 | 19.2191 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 83.1% | AIControl |
4 | #27 John Filippi 2017 - Citroen C-Elysee | 00:57.5419 | 19.1623 | 19.1511 | 19.2285 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 78.8% | AIControl |
Average | 00:58.1556 | 19.7470 | 19.1886 | 19.2200 | ||||
Best possible | 00:57.4938 | 19.1520 | 19.1445 | 19.1973 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
John F (AI) | #27 John Filippi 2017 - Citroen C-Elysee | 00:57.4938 | |
John F (AI) | #27 John Filippi 2017 - Citroen C-Elysee | 00:57.5239 | 0.0301 |
John F (AI) | #27 John Filippi 2017 - Citroen C-Elysee | 00:57.5419 | 0.0481 |
John F (AI) | #27 John Filippi 2017 - Citroen C-Elysee | 01:00.0628 | 2.569 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
John F (AI) | #27 John Filippi 2017 - Citroen C-Elysee | 00:57.4938 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
John F (AI) | #27 John Filippi 2017 - Citroen C-Elysee | 99.93% <> 0.0391 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
John F (AI) | 19.1520 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
John F (AI) | 19.1445 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
John F (AI) | 19.1973 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Falcon |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Alex C (AI) |
Led most laps | Alex C (AI) |
Best lap | Alex C (AI) (00:50.9667) |
Max minutes | 60 |
Lasted laps | 4 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Aids |
---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 12 | 19 | Alex C (AI) | Alex Clayman #19 - Falcon | 4 | Engine | 00:50.9667 | 92.05% | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Alex Clayman #19 - Falcon | 00:56.3305 | 20.6157 | 17.6732 | 18.0416 | F:0,Super Speedway - R:0,Super Speedway |
98.4 -
98.8
98.0 - 99.2 |
94.1% | AIControl |
2 | Alex Clayman #19 - Falcon | 00:52.2969 | 18.0786 | 17.2637 | 16.9545 | F:0,Super Speedway - R:0,Super Speedway |
97.6 -
98.4
97.6 - 98.4 |
90.6% | AIControl |
3 | Alex Clayman #19 - Falcon | 00:50.9667 | 16.9373 | 17.0231 | 17.0063 | F:0,Super Speedway - R:0,Super Speedway |
96.9 -
98.0
96.9 - 98.0 |
87.1% | AIControl |
4 | Alex Clayman #19 - Falcon | 00:57.7418 | 17.0362 | 21.9110 | 18.7946 | F:0,Super Speedway - R:0,Super Speedway |
96.5 -
97.3
96.1 - 97.6 |
83.9% | AIControl |
Average | 00:54.3341 | 18.1670 | 18.4678 | 17.6993 | |||||
Best possible | 00:50.9149 | 16.9373 | 17.0231 | 16.9545 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Alex C (AI) | Alex Clayman #19 - Falcon | 00:50.9667 | |
Alex C (AI) | Alex Clayman #19 - Falcon | 00:52.2969 | 1.3302 |
Alex C (AI) | Alex Clayman #19 - Falcon | 00:56.3305 | 5.3638 |
Alex C (AI) | Alex Clayman #19 - Falcon | 00:57.7418 | 6.7751 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Alex C (AI) | Alex Clayman #19 - Falcon | 00:50.9667 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Alex C (AI) | Alex Clayman #19 - Falcon | 92.05% <> 4.0527 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Alex C (AI) | 16.9373 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Alex C (AI) | 17.0231 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Alex C (AI) | 16.9545 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Ferrari 458 GTE |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Scott S (AI) |
Led most laps | Scott S (AI) |
Best lap | Raffaele G (AI) (00:51.2809) |
Max minutes | 60 |
Lasted laps | 58 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 24 | 11062 | Scott S (AI) | #62 - Risi Competizione - Ferrari 458 GTE | 58 | 01:00:49.9280 | 00:51.8608 | 88.63% | 0 | 3 | AIControl |
2 | ▴ 24 | 11003 | Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 58 | +00:00:01.3105 | 00:51.2809 | 88.11% | 0 | 2 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #62 - Risi Competizione - Ferrari 458 GTE | 00:58.8756 | 20.6894 | 19.0051 | 19.1811 | F:3,Hard - R:3,Hard |
97.6 -
97.6
96.9 - 96.5 |
97.6% | AIControl |
2 | #62 - Risi Competizione - Ferrari 458 GTE | 00:57.5146 | 19.1861 | 19.1528 | 19.1756 | F:3,Hard - R:3,Hard |
96.9 -
96.5
95.3 - 95.3 |
96.5% | AIControl |
3 | #62 - Risi Competizione - Ferrari 458 GTE | 00:57.5189 | 19.1887 | 19.1492 | 19.1810 | F:3,Hard - R:3,Hard |
96.1 -
95.3
94.1 - 93.7 |
95.3% | AIControl |
4 | #62 - Risi Competizione - Ferrari 458 GTE | 00:57.4877 | 19.1790 | 19.1411 | 19.1677 | F:3,Hard - R:3,Hard |
95.3 -
94.1
92.9 - 92.5 |
94.1% | AIControl |
5 (P: 76.2794) | #62 - Risi Competizione - Ferrari 458 GTE | 01:23.2990 | 39.4758 | 18.8201 | 25.0031 | F:3,Hard - R:3,Hard |
94.1 -
92.5
90.6 - 90.6 |
92.5% | AIControl |
6 | #62 - Risi Competizione - Ferrari 458 GTE | 02:58.3976 | 90.7690 | 48.2794 | 39.3492 | F:3,Hard - R:3,Hard |
98.4 -
98.4
97.6 - 98.0 |
98.4% | AIControl |
7 (P: 61.3759) | #62 - Risi Competizione - Ferrari 458 GTE | 01:06.2007 | 19.4943 | 18.9836 | 27.7228 | F:3,Hard - R:3,Hard |
97.6 -
97.3
96.5 - 96.5 |
97.3% | AIControl |
8 | #62 - Risi Competizione - Ferrari 458 GTE | 02:07.7333 | 73.1458 | 21.5776 | 33.0100 | F:3,Hard - R:3,Hard |
98.8 -
98.8
98.4 - 98.4 |
98.8% | AIControl |
9 | #62 - Risi Competizione - Ferrari 458 GTE | 01:01.9897 | 23.4238 | 20.4244 | 18.1415 | F:3,Hard - R:3,Hard |
98.0 -
97.6
96.9 - 96.9 |
97.3% | AIControl |
10 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.2252 | 17.7291 | 17.6865 | 17.8096 | F:3,Hard - R:3,Hard |
97.6 -
96.5
95.7 - 95.7 |
95.7% | AIControl |
11 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.1199 | 17.7212 | 17.6711 | 17.7277 | F:3,Hard - R:3,Hard |
96.9 -
95.3
94.5 - 94.1 |
94.1% | AIControl |
12 | #62 - Risi Competizione - Ferrari 458 GTE | 00:52.9742 | 17.6437 | 17.6509 | 17.6796 | F:3,Hard - R:3,Hard |
96.1 -
94.1
92.9 - 92.5 |
92.5% | AIControl |
13 | #62 - Risi Competizione - Ferrari 458 GTE | 00:52.2122 | 17.5778 | 17.2791 | 17.3553 | F:3,Hard - R:3,Hard |
95.3 -
92.9
91.8 - 91.4 |
91.4% | AIControl |
14 | #62 - Risi Competizione - Ferrari 458 GTE | 00:56.2437 | 17.1620 | 17.3237 | 21.7579 | F:3,Hard - R:3,Hard |
94.5 -
91.8
90.6 - 89.8 |
89.8% | AIControl |
15 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.6194 | 21.9275 | 21.8646 | 21.8273 | F:3,Hard - R:3,Hard |
93.7 -
90.6
89.0 - 88.6 |
88.6% | AIControl |
16 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.7262 | 22.0814 | 21.7085 | 21.9363 | F:3,Hard - R:3,Hard |
92.5 -
89.4
87.8 - 87.1 |
87.5% | AIControl |
17 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.8093 | 21.9692 | 21.8594 | 21.9807 | F:3,Hard - R:3,Hard |
91.8 -
88.2
86.7 - 85.5 |
86.3% | AIControl |
18 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.7644 | 21.9406 | 21.9154 | 21.9084 | F:3,Hard - R:3,Hard |
91.0 -
87.1
85.1 - 84.3 |
85.1% | AIControl |
19 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.8231 | 21.9728 | 21.9176 | 21.9327 | F:3,Hard - R:3,Hard |
90.2 -
86.3
83.9 - 82.7 |
84.3% | AIControl |
20 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.5634 | 21.9927 | 21.7183 | 21.8524 | F:3,Hard - R:3,Hard |
89.4 -
85.1
82.7 - 81.6 |
83.1% | AIControl |
21 | #62 - Risi Competizione - Ferrari 458 GTE | 00:59.1995 | 21.8375 | 19.2627 | 18.0992 | F:3,Hard - R:3,Hard |
88.6 -
83.9
81.2 - 80.0 |
81.6% | AIControl |
22 | #62 - Risi Competizione - Ferrari 458 GTE | 00:54.0527 | 18.0055 | 17.9684 | 18.0789 | F:3,Hard - R:3,Hard |
87.5 -
82.7
80.0 - 78.4 |
79.6% | AIControl |
23 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.7769 | 17.8448 | 17.8723 | 18.0597 | F:3,Hard - R:3,Hard |
86.7 -
81.6
78.8 - 76.9 |
78% | AIControl |
24 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.9075 | 18.0122 | 17.9104 | 17.9849 | F:3,Hard - R:3,Hard |
85.9 -
80.4
77.3 - 75.7 |
76.5% | AIControl |
25 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.9634 | 18.0210 | 17.9503 | 17.9921 | F:3,Hard - R:3,Hard |
85.1 -
79.2
76.1 - 74.1 |
74.9% | AIControl |
26 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.9230 | 17.9373 | 17.9432 | 18.0425 | F:3,Hard - R:3,Hard |
84.3 -
78.0
74.5 - 72.5 |
73.3% | AIControl |
27 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.9425 | 17.9991 | 17.9382 | 18.0051 | F:3,Hard - R:3,Hard |
83.5 -
76.9
73.3 - 71.4 |
71.8% | AIControl |
28 | #62 - Risi Competizione - Ferrari 458 GTE | 00:56.6205 | 19.1785 | 18.2854 | 19.1566 | F:3,Hard - R:3,Hard |
82.7 -
75.7
71.8 - 69.8 |
70.2% | AIControl |
29 | #62 - Risi Competizione - Ferrari 458 GTE | 00:54.6088 | 18.6721 | 17.9380 | 17.9987 | F:3,Hard - R:3,Hard |
82.0 -
74.5
70.6 - 68.2 |
68.2% | AIControl |
30 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.7211 | 17.8888 | 17.8704 | 17.9619 | F:3,Hard - R:3,Hard |
81.2 -
73.3
69.0 - 66.7 |
66.7% | AIControl |
31 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.8557 | 17.8374 | 17.9463 | 18.0720 | F:3,Hard - R:3,Hard |
80.4 -
71.8
67.8 - 65.1 |
65.1% | AIControl |
32 | #62 - Risi Competizione - Ferrari 458 GTE | 00:56.6282 | 18.0012 | 18.7188 | 19.9082 | F:3,Hard - R:3,Hard |
79.6 -
70.6
66.7 - 63.9 |
63.5% | AIControl |
33 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.6641 | 21.8972 | 21.8567 | 21.9102 | F:3,Hard - R:3,Hard |
78.8 -
69.8
65.1 - 62.4 |
62.4% | AIControl |
34 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.6934 | 21.9092 | 21.8762 | 21.9080 | F:3,Hard - R:3,Hard |
78.0 -
68.6
63.9 - 60.8 |
61.2% | AIControl |
35 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.7263 | 21.9436 | 21.9004 | 21.8823 | F:3,Hard - R:3,Hard |
77.3 -
67.5
62.4 - 59.6 |
59.6% | AIControl |
36 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.7329 | 21.9482 | 21.8735 | 21.9111 | F:3,Hard - R:3,Hard |
76.1 -
66.3
61.2 - 58.0 |
58.4% | AIControl |
37 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.4878 | 21.8828 | 21.6931 | 21.9119 | F:3,Hard - R:3,Hard |
75.3 -
65.1
59.6 - 56.5 |
57.3% | AIControl |
38 | #62 - Risi Competizione - Ferrari 458 GTE | 01:05.7102 | 21.9060 | 21.9106 | 21.8936 | F:3,Hard - R:3,Hard |
74.5 -
63.9
58.4 - 54.9 |
56.1% | AIControl |
39 | #62 - Risi Competizione - Ferrari 458 GTE | 01:03.2927 | 21.9363 | 21.8618 | 19.4946 | F:3,Hard - R:3,Hard |
73.7 -
62.7
57.3 - 53.7 |
54.5% | AIControl |
40 | #62 - Risi Competizione - Ferrari 458 GTE | 00:54.1667 | 18.1296 | 17.9639 | 18.0732 | F:3,Hard - R:3,Hard |
72.9 -
61.6
55.7 - 52.2 |
52.9% | AIControl |
41 | #62 - Risi Competizione - Ferrari 458 GTE | 00:54.0181 | 17.9912 | 17.9521 | 18.0747 | F:3,Hard - R:3,Hard |
72.2 -
60.4
54.5 - 50.6 |
51.4% | AIControl |
42 | #62 - Risi Competizione - Ferrari 458 GTE | 00:54.0122 | 17.9861 | 17.9529 | 18.0732 | F:3,Hard - R:3,Hard |
71.4 -
59.2
52.9 - 49.0 |
49.8% | AIControl |
43 | #62 - Risi Competizione - Ferrari 458 GTE | 00:54.4424 | 18.3413 | 18.0173 | 18.0837 | F:3,Hard - R:3,Hard |
70.6 -
58.0
51.8 - 47.8 |
48.2% | AIControl |
44 | #62 - Risi Competizione - Ferrari 458 GTE | 00:54.0535 | 18.0273 | 17.9597 | 18.0664 | F:3,Hard - R:3,Hard |
69.8 -
56.9
50.6 - 46.3 |
46.7% | AIControl |
45 | #62 - Risi Competizione - Ferrari 458 GTE | 00:56.7056 | 17.9934 | 20.2048 | 18.5073 | F:3,Hard - R:3,Hard |
69.0 -
55.7
49.0 - 44.7 |
44.7% | AIControl |
46 | #62 - Risi Competizione - Ferrari 458 GTE | 00:51.8608 | 17.3477 | 17.1624 | 17.3508 | F:3,Hard - R:3,Hard |
68.2 -
54.5
47.8 - 43.1 |
43.1% | AIControl |
47 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.0691 | 17.3398 | 17.7021 | 18.0271 | F:3,Hard - R:3,Hard |
67.5 -
53.3
46.3 - 41.6 |
41.6% | AIControl |
48 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.9758 | 17.9971 | 17.9441 | 18.0347 | F:3,Hard - R:3,Hard |
66.7 -
52.2
45.1 - 40.4 |
40% | AIControl |
49 (P: 73.0757) | #62 - Risi Competizione - Ferrari 458 GTE | 01:03.7112 | 20.3928 | 18.2046 | 25.1138 | F:3,Hard - R:3,Hard |
65.5 -
51.0
43.5 - 38.8 |
38.4% | AIControl |
50 | #62 - Risi Competizione - Ferrari 458 GTE | 02:05.5366 | 87.4546 | 19.0542 | 19.0278 | F:3,Hard - R:3,Hard |
99.2 -
98.8
98.4 - 98.4 |
98.4% | AIControl |
51 | #62 - Risi Competizione - Ferrari 458 GTE | 00:54.6946 | 18.3782 | 18.1912 | 18.1252 | F:3,Hard - R:3,Hard |
98.4 -
97.6
97.3 - 96.9 |
96.9% | AIControl |
52 | #62 - Risi Competizione - Ferrari 458 GTE | 00:56.7991 | 18.1565 | 20.2273 | 18.4153 | F:3,Hard - R:3,Hard |
97.6 -
96.5
95.7 - 95.7 |
95.3% | AIControl |
53 | #62 - Risi Competizione - Ferrari 458 GTE | 00:56.0598 | 18.3428 | 18.8105 | 18.9065 | F:3,Hard - R:3,Hard |
96.9 -
94.9
94.5 - 93.7 |
93.7% | AIControl |
54 | #62 - Risi Competizione - Ferrari 458 GTE | 00:56.5547 | 18.8352 | 18.8140 | 18.9055 | F:3,Hard - R:3,Hard |
96.1 -
93.7
92.9 - 92.5 |
92.5% | AIControl |
55 | #62 - Risi Competizione - Ferrari 458 GTE | 00:56.0747 | 19.3684 | 18.8848 | 17.8215 | F:3,Hard - R:3,Hard |
95.3 -
92.5
91.8 - 91.0 |
91% | AIControl |
56 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.4485 | 17.7781 | 17.5352 | 18.1353 | F:3,Hard - R:3,Hard |
94.5 -
91.4
90.2 - 89.4 |
89.4% | AIControl |
57 | #62 - Risi Competizione - Ferrari 458 GTE | 00:54.0244 | 18.0166 | 17.9575 | 18.0503 | F:3,Hard - R:3,Hard |
93.7 -
90.2
89.0 - 87.8 |
87.8% | AIControl |
58 | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.5554 | 17.9043 | 17.8176 | 17.8335 | F:3,Hard - R:3,Hard |
92.9 -
89.0
87.5 - 86.7 |
85.9% | AIControl |
Average | 01:02.8166 | 23.0122 | 19.6907 | 20.1137 | |||||
Best possible | 00:51.6752 | 17.1620 | 17.1624 | 17.3508 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:56.5685 | 20.2097 | 18.6266 | 17.7323 | F:3,Hard - R:3,Hard |
97.6 -
97.3
96.5 - 96.5 |
97.3% | AIControl |
2 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:54.1994 | 17.9492 | 18.1146 | 18.1356 | F:3,Hard - R:3,Hard |
96.9 -
96.1
95.3 - 94.9 |
96.1% | AIControl |
3 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:54.3658 | 18.1463 | 18.0865 | 18.1330 | F:3,Hard - R:3,Hard |
96.1 -
94.9
93.7 - 93.3 |
94.5% | AIControl |
4 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:58.2155 | 18.1145 | 17.5268 | 22.5742 | F:3,Hard - R:3,Hard |
95.3 -
93.7
92.5 - 91.8 |
93.3% | AIControl |
5 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:14.1322 | 24.9445 | 24.5726 | 24.6151 | F:3,Hard - R:3,Hard |
94.1 -
92.5
91.0 - 90.2 |
92.2% | AIControl |
6 (P: 80.5099) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 02:21.4586 | 62.5712 | 36.9345 | 41.9529 | F:3,Hard - R:3,Hard |
92.5 -
90.2
88.6 - 87.8 |
90.6% | AIControl |
7 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 02:00.1319 | 78.5817 | 20.7930 | 20.7571 | F:3,Hard - R:3,Hard |
99.2 -
98.8
98.4 - 98.4 |
98.4% | AIControl |
8 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 02:07.6136 | 32.7400 | 47.9869 | 46.8867 | F:3,Hard - R:3,Hard |
97.3 -
97.3
96.5 - 96.5 |
97.3% | AIControl |
9 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:02.3813 | 23.7003 | 20.2272 | 18.4539 | F:3,Hard - R:3,Hard |
96.5 -
96.1
94.9 - 94.9 |
95.3% | AIControl |
10 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.2252 | 17.7280 | 17.6887 | 17.8086 | F:3,Hard - R:3,Hard |
95.7 -
94.9
93.7 - 93.3 |
93.7% | AIControl |
11 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.1198 | 17.7205 | 17.6727 | 17.7267 | F:3,Hard - R:3,Hard |
94.9 -
93.7
92.2 - 91.8 |
92.2% | AIControl |
12 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.9746 | 17.6432 | 17.6523 | 17.6791 | F:3,Hard - R:3,Hard |
94.1 -
92.5
91.0 - 90.2 |
90.6% | AIControl |
13 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.2131 | 17.5416 | 17.3165 | 17.3550 | F:3,Hard - R:3,Hard |
93.3 -
91.4
89.8 - 89.0 |
88.6% | AIControl |
14 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:56.1577 | 17.1610 | 17.3102 | 21.6865 | F:3,Hard - R:3,Hard |
92.5 -
90.2
88.2 - 87.5 |
87.5% | AIControl |
15 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.6569 | 21.9227 | 21.8687 | 21.8655 | F:3,Hard - R:3,Hard |
91.8 -
89.0
87.1 - 86.3 |
86.3% | AIControl |
16 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.8578 | 22.1041 | 21.8862 | 21.8674 | F:3,Hard - R:3,Hard |
90.6 -
87.8
85.5 - 84.7 |
85.1% | AIControl |
17 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.8876 | 21.8876 | 21.8735 | 22.1265 | F:3,Hard - R:3,Hard |
89.8 -
86.7
84.3 - 83.1 |
83.9% | AIControl |
18 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.6847 | 21.9447 | 21.8159 | 21.9241 | F:3,Hard - R:3,Hard |
89.0 -
85.5
82.7 - 81.6 |
82.4% | AIControl |
19 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.6367 | 21.8510 | 21.8904 | 21.8954 | F:3,Hard - R:3,Hard |
87.8 -
84.3
81.6 - 80.4 |
81.2% | AIControl |
20 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:59.1969 | 21.8822 | 19.4160 | 17.8987 | F:3,Hard - R:3,Hard |
87.1 -
83.5
80.4 - 78.8 |
79.6% | AIControl |
21 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.2809 | 17.2544 | 16.8496 | 17.1769 | F:3,Hard - R:3,Hard |
86.3 -
82.0
78.8 - 77.3 |
78% | AIControl |
22 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.0833 | 17.1027 | 17.5876 | 17.3929 | F:3,Hard - R:3,Hard |
85.5 -
81.2
77.6 - 76.1 |
76.5% | AIControl |
23 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.3882 | 17.0562 | 17.0636 | 17.2684 | F:3,Hard - R:3,Hard |
84.7 -
79.6
76.5 - 74.5 |
74.5% | AIControl |
24 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.4287 | 16.9662 | 17.0481 | 17.4144 | F:3,Hard - R:3,Hard |
84.3 -
78.8
74.9 - 72.9 |
72.9% | AIControl |
25 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:59.0681 | 20.7396 | 20.3500 | 17.9785 | F:3,Hard - R:3,Hard |
83.1 -
77.6
73.7 - 71.8 |
71.8% | AIControl |
26 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.7756 | 17.1145 | 17.1854 | 17.4757 | F:3,Hard - R:3,Hard |
82.4 -
76.5
72.5 - 70.2 |
69.8% | AIControl |
27 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.7753 | 17.0892 | 17.0200 | 17.6660 | F:3,Hard - R:3,Hard |
82.0 -
75.3
71.0 - 68.6 |
68.2% | AIControl |
28 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:54.3080 | 18.0056 | 18.0717 | 18.2307 | F:3,Hard - R:3,Hard |
81.2 -
74.1
69.8 - 67.5 |
66.7% | AIControl |
29 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:54.8442 | 18.3372 | 18.3098 | 18.1973 | F:3,Hard - R:3,Hard |
80.4 -
72.9
68.6 - 65.9 |
65.5% | AIControl |
30 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:57.5747 | 18.4878 | 18.4092 | 20.6777 | F:3,Hard - R:3,Hard |
79.6 -
71.8
67.1 - 64.7 |
63.9% | AIControl |
31 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:03.6299 | 19.8777 | 21.8291 | 21.9231 | F:3,Hard - R:3,Hard |
78.8 -
70.6
65.9 - 63.1 |
62.7% | AIControl |
32 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.4360 | 22.0505 | 21.6079 | 21.7776 | F:3,Hard - R:3,Hard |
77.6 -
69.4
64.7 - 61.6 |
61.6% | AIControl |
33 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.7097 | 21.9329 | 21.8728 | 21.9041 | F:3,Hard - R:3,Hard |
76.9 -
68.2
63.1 - 60.4 |
60% | AIControl |
34 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.7139 | 21.9006 | 21.8708 | 21.9424 | F:3,Hard - R:3,Hard |
76.1 -
67.1
62.0 - 58.8 |
58.8% | AIControl |
35 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.7200 | 21.9067 | 21.9128 | 21.9004 | F:3,Hard - R:3,Hard |
75.3 -
65.9
60.4 - 57.3 |
57.6% | AIControl |
36 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.6743 | 21.9172 | 21.8733 | 21.8838 | F:3,Hard - R:3,Hard |
74.5 -
64.7
59.2 - 56.1 |
56.5% | AIControl |
37 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.6682 | 21.9546 | 21.8586 | 21.8550 | F:3,Hard - R:3,Hard |
73.3 -
63.9
57.6 - 54.5 |
55.3% | AIControl |
38 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:05.6326 | 21.9402 | 21.8376 | 21.8547 | F:3,Hard - R:3,Hard |
72.5 -
62.7
56.5 - 52.9 |
53.7% | AIControl |
39 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:59.5764 | 21.8501 | 19.7173 | 18.0090 | F:3,Hard - R:3,Hard |
71.8 -
61.6
54.9 - 51.8 |
52.2% | AIControl |
40 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.3230 | 17.6826 | 17.7515 | 17.8889 | F:3,Hard - R:3,Hard |
71.0 -
60.4
53.7 - 50.2 |
50.6% | AIControl |
41 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.4976 | 17.8259 | 17.7805 | 17.8911 | F:3,Hard - R:3,Hard |
70.2 -
59.2
52.5 - 48.6 |
49% | AIControl |
42 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.4990 | 17.8240 | 17.7795 | 17.8955 | F:3,Hard - R:3,Hard |
69.4 -
58.0
51.0 - 47.5 |
47.5% | AIControl |
43 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:56.8296 | 17.8252 | 18.7676 | 20.2368 | F:3,Hard - R:3,Hard |
68.6 -
56.9
49.8 - 45.9 |
45.9% | AIControl |
44 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:54.6770 | 18.0369 | 17.8125 | 18.8276 | F:3,Hard - R:3,Hard |
67.8 -
55.7
48.6 - 44.7 |
44.3% | AIControl |
45 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.9441 | 18.1221 | 17.9170 | 17.9050 | F:3,Hard - R:3,Hard |
67.1 -
54.5
47.1 - 43.1 |
42.4% | AIControl |
46 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.4895 | 17.8196 | 17.7778 | 17.8921 | F:3,Hard - R:3,Hard |
66.3 -
53.3
45.9 - 41.6 |
40.8% | AIControl |
47 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.3262 | 17.7776 | 17.6663 | 17.8823 | F:3,Hard - R:3,Hard |
65.5 -
52.2
44.3 - 40.0 |
39.2% | AIControl |
48 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.2217 | 17.8132 | 17.8096 | 17.5989 | F:3,Hard - R:3,Hard |
64.7 -
51.0
43.1 - 38.8 |
37.6% | AIControl |
49 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.6667 | 17.5400 | 17.5222 | 17.6045 | F:3,Hard - R:3,Hard |
63.9 -
49.8
42.0 - 37.3 |
35.7% | AIControl |
50 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:54.7300 | 17.6152 | 19.1094 | 18.0054 | F:3,Hard - R:3,Hard |
63.1 -
48.6
40.4 - 35.7 |
34.1% | AIControl |
51 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.4331 | 17.0493 | 16.9722 | 17.4116 | F:3,Hard - R:3,Hard |
62.4 -
47.5
39.2 - 34.1 |
32.5% | AIControl |
52 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.6243 | 17.1135 | 17.1707 | 17.3401 | F:3,Hard - R:3,Hard |
61.6 -
46.3
38.0 - 32.9 |
31% | AIControl |
53 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.1697 | 17.2478 | 17.4038 | 17.5181 | F:3,Hard - R:3,Hard |
60.8 -
45.1
36.9 - 31.4 |
29.4% | AIControl |
54 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.6821 | 17.1665 | 17.6455 | 17.8701 | F:3,Hard - R:3,Hard |
60.0 -
43.9
35.7 - 29.8 |
27.5% | AIControl |
55 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:00.0061 | 17.8171 | 20.4404 | 21.7485 | F:3,Hard - R:3,Hard |
59.2 -
42.7
34.1 - 28.6 |
26.3% | AIControl |
56 (P: 84.936) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 01:12.8486 | 21.8521 | 21.8625 | 29.1340 | F:3,Hard - R:3,Hard |
58.4 -
41.6
32.9 - 27.1 |
25.1% | AIControl |
57 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 02:11.9175 | 95.8267 | 18.2273 | 17.8635 | F:3,Hard - R:3,Hard |
99.2 -
98.8
98.4 - 98.4 |
98% | AIControl |
58 | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:55.9436 | 18.1162 | 18.9648 | 18.8625 | F:3,Hard - R:3,Hard |
98.4 -
97.6
97.3 - 96.9 |
96.9% | AIControl |
Average | 01:02.8413 | 22.5500 | 19.9641 | 20.3272 | |||||
Best possible | 00:50.9927 | 16.9662 | 16.8496 | 17.1769 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.2809 | |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.3882 | 0.1073 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.4287 | 0.1478 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.4331 | 0.1522 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.6243 | 0.3434 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.7753 | 0.4944 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.7756 | 0.4947 |
Scott S (AI) | #62 - Risi Competizione - Ferrari 458 GTE | 00:51.8608 | 0.5799 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.0833 | 0.8024 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.1697 | 0.8888 |
Scott S (AI) | #62 - Risi Competizione - Ferrari 458 GTE | 00:52.2122 | 0.9313 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.2131 | 0.9322 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.6667 | 1.3858 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.6821 | 1.4012 |
Scott S (AI) | #62 - Risi Competizione - Ferrari 458 GTE | 00:52.9742 | 1.6933 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:52.9746 | 1.6937 |
Scott S (AI) | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.0691 | 1.7882 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.1198 | 1.8389 |
Scott S (AI) | #62 - Risi Competizione - Ferrari 458 GTE | 00:53.1199 | 1.839 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:53.2217 | 1.9408 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 00:51.2809 | |
Scott S (AI) | #62 - Risi Competizione - Ferrari 458 GTE | 00:51.8608 | 0.5799 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Scott S (AI) | #62 - Risi Competizione - Ferrari 458 GTE | 88.63% <> 5.8943 |
Raffaele G (AI) | #03 - Racing Team EdilCris - Ferrari 458 GTE | 88.11% <> 6.096 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Raffaele G (AI) | 16.9662 | - |
Scott S (AI) | 17.1620 | 0.1958 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Raffaele G (AI) | 16.8496 | - |
Scott S (AI) | 17.1624 | 0.3128 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Raffaele G (AI) | 17.1769 | - |
Scott S (AI) | 17.3508 | 0.1739 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Ferrari 488 GT3 |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Matteo M (AI) |
Led most laps | Matteo M (AI) |
Best lap | Matteo M (AI) (00:55.4368) |
Max minutes | 60 |
Lasted laps | 58 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 28 | 34 | Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 58 | 01:01:10.6912 | 00:55.4368 | 94.99% | 0 | 2 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.7503 | 20.6627 | 18.9216 | 19.1659 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
98.4
97.3 - 97.3 |
97.3% | AIControl |
2 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.5147 | 19.1863 | 19.1528 | 19.1757 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
97.6
96.5 - 96.1 |
95.7% | AIControl |
3 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.5186 | 19.1879 | 19.1505 | 19.1802 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
96.9
95.3 - 94.9 |
94.1% | AIControl |
4 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.4901 | 19.1801 | 19.1398 | 19.1701 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
96.1
94.5 - 93.7 |
92.5% | AIControl |
5 (P: 63.8526) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 01:40.8542 | 53.6716 | 20.7709 | 26.4117 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
94.9
92.9 - 91.8 |
91% | AIControl |
6 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 02:41.9987 | 78.1097 | 43.6883 | 40.2007 | F:0,Dry Medium - R:0,Dry Medium |
99.2 -
99.2
98.4 - 98.4 |
98.8% | AIControl |
7 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 01:00.0902 | 21.0095 | 19.1750 | 19.9056 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
98.4
97.3 - 97.3 |
96.9% | AIControl |
8 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 02:11.9313 | 36.9238 | 47.9664 | 47.0411 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
97.3
95.7 - 95.3 |
96.1% | AIControl |
9 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 01:06.0895 | 23.8957 | 21.2549 | 20.9389 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
96.5
94.5 - 94.1 |
94.1% | AIControl |
10 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.2737 | 19.2540 | 18.9714 | 19.0484 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
95.7
93.3 - 92.9 |
92.2% | AIControl |
11 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.4630 | 18.9594 | 18.9127 | 19.5909 | F:0,Dry Medium - R:0,Dry Medium |
96.1 -
95.3
92.5 - 91.8 |
90.6% | AIControl |
12 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.9285 | 19.7336 | 19.1216 | 19.0734 | F:0,Dry Medium - R:0,Dry Medium |
95.7 -
94.5
91.4 - 90.2 |
89% | AIControl |
13 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:56.8344 | 18.9513 | 18.9065 | 18.9766 | F:0,Dry Medium - R:0,Dry Medium |
95.3 -
93.7
90.2 - 89.0 |
87.5% | AIControl |
14 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:56.8170 | 18.9680 | 18.9010 | 18.9480 | F:0,Dry Medium - R:0,Dry Medium |
94.9 -
92.9
89.4 - 87.8 |
85.9% | AIControl |
15 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:56.7083 | 18.8827 | 18.9346 | 18.8910 | F:0,Dry Medium - R:0,Dry Medium |
94.1 -
92.2
88.2 - 86.7 |
83.9% | AIControl |
16 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:56.8431 | 18.9070 | 18.9436 | 18.9926 | F:0,Dry Medium - R:0,Dry Medium |
93.7 -
91.4
87.1 - 85.5 |
82.4% | AIControl |
17 (P: 66.2735) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 01:09.8223 | 18.9586 | 21.4983 | 29.3654 | F:0,Dry Medium - R:0,Dry Medium |
93.3 -
90.6
86.3 - 83.9 |
81.2% | AIControl |
18 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 01:56.2577 | 77.5769 | 19.4431 | 19.2377 | F:0,Dry Medium - R:0,Dry Medium |
99.6 -
99.2
98.8 - 98.4 |
98% | AIControl |
19 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.6658 | 19.2131 | 19.2185 | 19.2341 | F:0,Dry Medium - R:0,Dry Medium |
99.2 -
98.4
97.6 - 97.3 |
96.1% | AIControl |
20 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.4070 | 19.2046 | 19.2346 | 18.9678 | F:0,Dry Medium - R:0,Dry Medium |
98.8 -
97.6
96.5 - 95.7 |
94.1% | AIControl |
21 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.1372 | 19.1996 | 19.0449 | 18.8927 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
97.3
95.3 - 94.5 |
92.2% | AIControl |
22 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.5431 | 19.2706 | 19.1918 | 19.0807 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
96.5
94.1 - 92.9 |
90.2% | AIControl |
23 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.8433 | 19.2789 | 19.2444 | 19.3199 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
95.7
92.9 - 91.8 |
88.2% | AIControl |
24 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.8595 | 19.2946 | 19.2491 | 19.3158 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
94.9
91.8 - 90.6 |
86.3% | AIControl |
25 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.2510 | 19.3075 | 19.1990 | 19.7445 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
94.5
90.6 - 89.0 |
84.3% | AIControl |
26 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 01:02.2728 | 22.4703 | 20.4216 | 19.3809 | F:0,Dry Medium - R:0,Dry Medium |
96.1 -
93.7
89.4 - 87.8 |
82.4% | AIControl |
27 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.7762 | 19.2406 | 19.2242 | 19.3114 | F:0,Dry Medium - R:0,Dry Medium |
95.7 -
92.9
88.2 - 86.3 |
80.8% | AIControl |
28 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.6997 | 19.1602 | 19.2262 | 19.3134 | F:0,Dry Medium - R:0,Dry Medium |
95.3 -
92.2
87.5 - 85.1 |
78.8% | AIControl |
29 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.8748 | 19.2974 | 19.2627 | 19.3147 | F:0,Dry Medium - R:0,Dry Medium |
94.9 -
91.4
86.3 - 83.9 |
76.9% | AIControl |
30 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.8577 | 19.2952 | 19.2463 | 19.3162 | F:0,Dry Medium - R:0,Dry Medium |
94.5 -
91.0
84.7 - 82.4 |
74.9% | AIControl |
31 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.8542 | 19.3022 | 19.2427 | 19.3093 | F:0,Dry Medium - R:0,Dry Medium |
94.1 -
90.2
83.9 - 81.2 |
72.9% | AIControl |
32 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.8604 | 19.2969 | 19.2456 | 19.3179 | F:0,Dry Medium - R:0,Dry Medium |
93.3 -
89.4
82.7 - 79.6 |
71% | AIControl |
33 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.6062 | 19.1846 | 19.1355 | 19.2861 | F:0,Dry Medium - R:0,Dry Medium |
92.9 -
88.6
81.6 - 78.4 |
69% | AIControl |
34 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:59.6899 | 19.3101 | 19.1765 | 21.2034 | F:0,Dry Medium - R:0,Dry Medium |
92.5 -
87.8
80.4 - 77.3 |
67.1% | AIControl |
35 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:59.2832 | 19.8860 | 19.8547 | 19.5425 | F:0,Dry Medium - R:0,Dry Medium |
92.2 -
87.5
79.2 - 75.7 |
65.5% | AIControl |
36 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.4102 | 19.5125 | 19.4368 | 19.4609 | F:0,Dry Medium - R:0,Dry Medium |
91.8 -
86.7
78.4 - 74.5 |
63.9% | AIControl |
37 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.1719 | 19.4102 | 19.3391 | 19.4226 | F:0,Dry Medium - R:0,Dry Medium |
91.4 -
85.9
77.3 - 73.3 |
62.4% | AIControl |
38 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.4480 | 19.4788 | 19.4531 | 19.5161 | F:0,Dry Medium - R:0,Dry Medium |
91.0 -
85.1
76.1 - 71.8 |
60.8% | AIControl |
39 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.2869 | 19.4839 | 19.3784 | 19.4246 | F:0,Dry Medium - R:0,Dry Medium |
90.6 -
84.3
75.3 - 70.6 |
59.2% | AIControl |
40 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.2390 | 19.3850 | 19.3921 | 19.4619 | F:0,Dry Medium - R:0,Dry Medium |
90.2 -
83.5
74.1 - 69.4 |
57.6% | AIControl |
41 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.7710 | 19.8306 | 19.4541 | 19.4863 | F:0,Dry Medium - R:0,Dry Medium |
89.4 -
83.1
72.9 - 68.2 |
56.1% | AIControl |
42 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.3750 | 19.4890 | 19.4565 | 19.4294 | F:0,Dry Medium - R:0,Dry Medium |
89.0 -
82.4
72.2 - 67.1 |
54.5% | AIControl |
43 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.3623 | 19.4094 | 19.4280 | 19.5249 | F:0,Dry Medium - R:0,Dry Medium |
88.6 -
81.6
71.0 - 65.5 |
52.9% | AIControl |
44 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:59.2224 | 19.6030 | 19.9763 | 19.6431 | F:0,Dry Medium - R:0,Dry Medium |
88.2 -
80.8
69.8 - 64.3 |
51% | AIControl |
45 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.9692 | 19.2512 | 19.3008 | 19.4172 | F:0,Dry Medium - R:0,Dry Medium |
87.8 -
80.0
68.6 - 63.1 |
49.4% | AIControl |
46 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.1650 | 19.7847 | 19.1892 | 19.1912 | F:0,Dry Medium - R:0,Dry Medium |
87.5 -
79.2
67.8 - 62.0 |
47.8% | AIControl |
47 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.5879 | 19.2927 | 19.3369 | 18.9583 | F:0,Dry Medium - R:0,Dry Medium |
87.1 -
78.8
66.7 - 60.8 |
45.9% | AIControl |
48 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.2065 | 18.7871 | 19.1196 | 19.2998 | F:0,Dry Medium - R:0,Dry Medium |
86.7 -
78.0
65.5 - 59.2 |
43.9% | AIControl |
49 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.9209 | 19.2888 | 19.2412 | 20.3909 | F:0,Dry Medium - R:0,Dry Medium |
86.3 -
77.3
64.7 - 58.0 |
42% | AIControl |
50 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.9963 | 19.6697 | 19.2473 | 19.0793 | F:0,Dry Medium - R:0,Dry Medium |
85.9 -
76.5
63.5 - 56.9 |
40% | AIControl |
51 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:55.4368 | 18.3823 | 18.1868 | 18.8677 | F:0,Dry Medium - R:0,Dry Medium |
85.5 -
76.1
62.4 - 55.7 |
38% | AIControl |
52 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.0535 | 19.1521 | 19.5056 | 19.3958 | F:0,Dry Medium - R:0,Dry Medium |
85.1 -
75.3
61.2 - 54.1 |
36.1% | AIControl |
53 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.6660 | 19.2422 | 19.2292 | 19.1946 | F:0,Dry Medium - R:0,Dry Medium |
84.3 -
74.5
60.4 - 52.9 |
34.1% | AIControl |
54 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.6572 | 19.2847 | 19.0896 | 19.2830 | F:0,Dry Medium - R:0,Dry Medium |
83.9 -
74.1
59.2 - 51.8 |
32.2% | AIControl |
55 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.7776 | 19.2356 | 19.2329 | 19.3091 | F:0,Dry Medium - R:0,Dry Medium |
83.5 -
73.3
58.0 - 50.2 |
30.2% | AIControl |
56 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.1082 | 19.7244 | 19.1973 | 19.1865 | F:0,Dry Medium - R:0,Dry Medium |
83.1 -
72.5
56.9 - 49.0 |
28.2% | AIControl |
57 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:58.1660 | 18.9285 | 19.1892 | 20.0483 | F:0,Dry Medium - R:0,Dry Medium |
82.7 -
71.8
55.7 - 47.5 |
26.3% | AIControl |
58 | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:59.1899 | 20.5076 | 19.2842 | 19.3982 | F:0,Dry Medium - R:0,Dry Medium |
82.4 -
71.0
54.5 - 46.3 |
24.7% | AIControl |
Average | 01:03.1699 | 22.4028 | 20.2575 | 20.5096 | |||||
Best possible | 00:55.4368 | 18.3823 | 18.1868 | 18.8677 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:55.4368 | |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:56.7083 | 1.2715 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:56.8170 | 1.3802 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:56.8344 | 1.3976 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:56.8431 | 1.4063 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.1372 | 1.7004 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.2065 | 1.7697 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.2737 | 1.8369 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.4070 | 1.9702 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.4630 | 2.0262 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.4901 | 2.0533 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.5147 | 2.0779 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.5186 | 2.0818 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.5431 | 2.1063 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.5879 | 2.1511 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.6062 | 2.1694 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.6572 | 2.2204 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.6658 | 2.229 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.6660 | 2.2292 |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:57.6997 | 2.2629 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 00:55.4368 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Matteo M (AI) | #34 - Scuderia Praha - Blancpain Endurance Series 2016 (Ferrari 488 GT3) | 94.99% <> 2.775 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Matteo M (AI) | 18.3823 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Matteo M (AI) | 18.1868 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Matteo M (AI) | 18.8677 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Ford Focus |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Jack C (AI) |
Led most laps | Jack C (AI) |
Best lap | Rory B (AI) (01:05.4358) |
Max minutes | 60 |
Lasted laps | 52 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 35 | Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 52 | 01:01:41.0562 | 01:05.6125 | 99.63% | 0 | 1 | AIControl |
2 | ▴ 35 | Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 49 | +3 laps | 01:05.4358 | 99.19% | 0 | 3 | AIControl |
3 | ▴ 36 | Kim F (AI) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 35 | Accident | 01:05.5828 | 99.45% | 0 | 4 | AIControl |
4 | ▴ 36 | Mat J (AI) | Airwaves Racing #6 Mat Jackson '14 - Ford Focus | 5 | Accident | 01:05.7339 | - | 0 | 1 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:06.4066 | 22.5291 | 21.9058 | 21.9717 | F:2,Medium - R:2,Medium |
97.3 -
96.9
98.0 - 97.6 |
97.6% | AIControl |
2 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6747 | 21.9459 | 21.8642 | 21.8646 | F:2,Medium - R:2,Medium |
96.1 -
95.7
97.3 - 96.9 |
96.9% | AIControl |
3 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7540 | 21.9488 | 21.8644 | 21.9409 | F:2,Medium - R:2,Medium |
95.3 -
94.5
96.5 - 96.1 |
95.7% | AIControl |
4 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8033 | 21.9350 | 21.9026 | 21.9658 | F:2,Medium - R:2,Medium |
94.1 -
93.3
96.1 - 94.9 |
94.9% | AIControl |
5 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:33.9143 | 43.9857 | 21.9369 | 27.9918 | F:2,Medium - R:2,Medium |
92.5 -
91.8
94.9 - 94.1 |
93.3% | AIControl |
6 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 02:07.4847 | 42.8769 | 43.1290 | 41.4788 | F:2,Medium - R:2,Medium |
91.0 -
90.2
93.7 - 92.9 |
92.9% | AIControl |
7 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:07.7681 | 23.8969 | 21.8751 | 21.9962 | F:2,Medium - R:2,Medium |
89.8 -
89.0
92.9 - 91.8 |
91.8% | AIControl |
8 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 02:11.6902 | 36.7257 | 48.1113 | 46.8531 | F:2,Medium - R:2,Medium |
87.8 -
87.1
91.4 - 90.6 |
91% | AIControl |
9 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:07.3842 | 23.5122 | 21.9048 | 21.9672 | F:2,Medium - R:2,Medium |
86.7 -
85.9
91.0 - 89.4 |
89.4% | AIControl |
10 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8492 | 21.9789 | 21.9014 | 21.9689 | F:2,Medium - R:2,Medium |
85.5 -
84.7
90.2 - 88.6 |
87.8% | AIControl |
11 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8548 | 21.9804 | 21.9052 | 21.9692 | F:2,Medium - R:2,Medium |
84.7 -
83.5
89.4 - 87.8 |
86.7% | AIControl |
12 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8383 | 21.9863 | 21.9083 | 21.9436 | F:2,Medium - R:2,Medium |
83.5 -
82.0
88.6 - 86.7 |
85.1% | AIControl |
13 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7803 | 21.9561 | 21.8804 | 21.9438 | F:2,Medium - R:2,Medium |
82.4 -
80.8
87.8 - 85.9 |
84.3% | AIControl |
14 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7928 | 21.9576 | 21.8861 | 21.9491 | F:2,Medium - R:2,Medium |
81.6 -
79.6
87.5 - 84.7 |
83.1% | AIControl |
15 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8018 | 21.9700 | 21.8914 | 21.9404 | F:2,Medium - R:2,Medium |
80.4 -
78.4
86.7 - 83.9 |
82% | AIControl |
16 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8094 | 21.9675 | 21.8939 | 21.9480 | F:2,Medium - R:2,Medium |
79.2 -
77.3
85.9 - 83.1 |
80.8% | AIControl |
17 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7925 | 21.9662 | 21.8907 | 21.9355 | F:2,Medium - R:2,Medium |
78.4 -
76.1
85.5 - 82.0 |
79.6% | AIControl |
18 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8237 | 21.9711 | 21.8961 | 21.9565 | F:2,Medium - R:2,Medium |
77.3 -
74.9
84.7 - 81.2 |
78.8% | AIControl |
19 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8259 | 21.9677 | 21.9174 | 21.9409 | F:2,Medium - R:2,Medium |
76.1 -
73.7
83.9 - 80.4 |
77.6% | AIControl |
20 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7732 | 21.9716 | 21.8805 | 21.9211 | F:2,Medium - R:2,Medium |
75.3 -
72.5
83.1 - 79.2 |
76.5% | AIControl |
21 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:06.3367 | 22.4900 | 21.8943 | 21.9524 | F:2,Medium - R:2,Medium |
74.1 -
71.4
82.7 - 78.4 |
75.3% | AIControl |
22 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7708 | 21.9713 | 21.8589 | 21.9406 | F:2,Medium - R:2,Medium |
72.9 -
69.8
82.0 - 77.3 |
74.1% | AIControl |
23 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7467 | 21.9733 | 21.8810 | 21.8925 | F:2,Medium - R:2,Medium |
72.2 -
68.6
81.2 - 76.5 |
72.9% | AIControl |
24 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8120 | 21.9674 | 21.8927 | 21.9519 | F:2,Medium - R:2,Medium |
71.0 -
67.5
80.4 - 75.7 |
71.8% | AIControl |
25 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7369 | 21.8999 | 21.8783 | 21.9587 | F:2,Medium - R:2,Medium |
69.8 -
66.3
80.0 - 74.5 |
70.6% | AIControl |
26 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7378 | 21.9675 | 21.9039 | 21.8663 | F:2,Medium - R:2,Medium |
69.0 -
65.1
79.2 - 73.7 |
69.4% | AIControl |
27 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6864 | 21.9237 | 21.8649 | 21.8978 | F:2,Medium - R:2,Medium |
67.8 -
63.9
78.4 - 72.5 |
68.2% | AIControl |
28 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6125 | 21.8818 | 21.8657 | 21.8650 | F:2,Medium - R:2,Medium |
66.7 -
62.7
77.6 - 71.8 |
66.7% | AIControl |
29 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7476 | 21.8877 | 21.9001 | 21.9597 | F:2,Medium - R:2,Medium |
65.9 -
61.6
76.9 - 71.0 |
65.5% | AIControl |
30 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6689 | 21.8931 | 21.8738 | 21.9021 | F:2,Medium - R:2,Medium |
64.7 -
60.4
76.5 - 69.8 |
63.9% | AIControl |
31 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6765 | 21.9546 | 21.8621 | 21.8599 | F:2,Medium - R:2,Medium |
63.5 -
59.2
75.7 - 69.0 |
62.7% | AIControl |
32 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6331 | 21.8916 | 21.8665 | 21.8750 | F:2,Medium - R:2,Medium |
62.7 -
57.6
74.9 - 67.8 |
61.6% | AIControl |
33 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7234 | 21.9741 | 21.8914 | 21.8579 | F:2,Medium - R:2,Medium |
61.6 -
56.5
74.1 - 67.1 |
60% | AIControl |
34 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6685 | 21.9539 | 21.8579 | 21.8567 | F:2,Medium - R:2,Medium |
60.4 -
55.3
73.3 - 66.3 |
58.8% | AIControl |
35 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6436 | 21.8948 | 21.8777 | 21.8711 | F:2,Medium - R:2,Medium |
59.6 -
54.1
72.9 - 65.1 |
57.3% | AIControl |
36 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7119 | 21.8884 | 21.8909 | 21.9326 | F:2,Medium - R:2,Medium |
58.4 -
52.9
72.2 - 64.3 |
56.1% | AIControl |
37 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7783 | 21.9380 | 21.8923 | 21.9480 | F:2,Medium - R:2,Medium |
57.3 -
51.8
71.4 - 63.5 |
54.9% | AIControl |
38 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7852 | 21.9600 | 21.8743 | 21.9509 | F:2,Medium - R:2,Medium |
56.5 -
50.6
70.6 - 62.4 |
53.3% | AIControl |
39 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8110 | 21.9658 | 21.8938 | 21.9514 | F:2,Medium - R:2,Medium |
55.3 -
49.4
70.2 - 61.6 |
52.5% | AIControl |
40 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8064 | 21.9641 | 21.8940 | 21.9482 | F:2,Medium - R:2,Medium |
54.1 -
48.2
69.4 - 60.4 |
51.4% | AIControl |
41 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7805 | 21.9480 | 21.8945 | 21.9380 | F:2,Medium - R:2,Medium |
53.3 -
47.1
68.6 - 59.6 |
50.2% | AIControl |
42 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7510 | 21.9026 | 21.8972 | 21.9512 | F:2,Medium - R:2,Medium |
52.2 -
45.9
67.8 - 58.8 |
49% | AIControl |
43 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7769 | 21.9629 | 21.8979 | 21.9160 | F:2,Medium - R:2,Medium |
51.0 -
44.7
67.5 - 57.6 |
47.8% | AIControl |
44 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8171 | 21.9658 | 21.8994 | 21.9519 | F:2,Medium - R:2,Medium |
50.2 -
43.1
66.7 - 56.9 |
46.7% | AIControl |
45 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7695 | 21.9373 | 21.8965 | 21.9358 | F:2,Medium - R:2,Medium |
49.0 -
42.0
65.9 - 56.1 |
45.9% | AIControl |
46 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7700 | 21.9441 | 21.8796 | 21.9463 | F:2,Medium - R:2,Medium |
47.8 -
40.8
65.1 - 54.9 |
44.7% | AIControl |
47 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7805 | 21.9719 | 21.8809 | 21.9277 | F:2,Medium - R:2,Medium |
47.1 -
39.6
64.7 - 54.1 |
43.1% | AIControl |
48 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.7681 | 21.9727 | 21.8982 | 21.8972 | F:2,Medium - R:2,Medium |
45.9 -
38.4
63.9 - 52.9 |
42% | AIControl |
49 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6165 | 21.9504 | 21.9031 | 21.7629 | F:2,Medium - R:2,Medium |
44.7 -
37.3
63.1 - 52.2 |
40.8% | AIControl |
50 (P: 111.1977) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:12.3030 | 21.8806 | 21.8628 | 28.5596 | F:2,Medium - R:2,Medium |
43.5 -
35.7
62.4 - 51.0 |
39.6% | AIControl |
51 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 02:52.4829 | 128.7251 | 21.8833 | 21.8745 | F:2,Medium - R:2,Medium |
98.8 -
98.4
99.2 - 98.8 |
98.4% | AIControl |
52 | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.8435 | 21.9854 | 21.9011 | 21.9570 | F:2,Medium - R:2,Medium |
97.6 -
97.3
98.4 - 98.0 |
97.3% | AIControl |
Average | 01:11.0264 | 25.2003 | 22.8010 | 23.0251 | |||||
Best possible | 01:05.5014 | 21.8806 | 21.8579 | 21.7629 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:06.1295 | 22.3476 | 21.8865 | 21.8955 | F:2,Medium - R:2,Medium |
97.3 -
97.3
98.0 - 97.6 |
97.6% | AIControl |
2 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6737 | 21.9119 | 21.8725 | 21.8893 | F:2,Medium - R:2,Medium |
96.1 -
95.7
97.3 - 96.9 |
96.5% | AIControl |
3 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8419 | 21.9905 | 21.9013 | 21.9501 | F:2,Medium - R:2,Medium |
94.9 -
94.5
96.5 - 96.1 |
95.3% | AIControl |
4 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8030 | 21.9395 | 21.8978 | 21.9657 | F:2,Medium - R:2,Medium |
94.1 -
93.3
95.7 - 94.9 |
94.1% | AIControl |
5 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:33.5516 | 40.8856 | 21.9339 | 30.7321 | F:2,Medium - R:2,Medium |
92.5 -
91.8
94.9 - 93.7 |
92.9% | AIControl |
6 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 02:07.2776 | 42.9088 | 42.9960 | 41.3729 | F:2,Medium - R:2,Medium |
90.6 -
90.2
93.7 - 92.5 |
92.2% | AIControl |
7 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:07.4200 | 23.5015 | 21.9081 | 22.0104 | F:2,Medium - R:2,Medium |
89.8 -
89.0
92.9 - 91.8 |
91% | AIControl |
8 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 02:12.4401 | 36.9782 | 48.0867 | 47.3752 | F:2,Medium - R:2,Medium |
87.8 -
87.1
91.4 - 90.6 |
90.2% | AIControl |
9 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:08.0959 | 24.2921 | 21.8754 | 21.9285 | F:2,Medium - R:2,Medium |
86.7 -
85.9
90.6 - 89.4 |
89% | AIControl |
10 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8441 | 21.9811 | 21.9065 | 21.9565 | F:2,Medium - R:2,Medium |
85.5 -
84.7
90.2 - 88.6 |
87.5% | AIControl |
11 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8804 | 21.9959 | 21.9004 | 21.9841 | F:2,Medium - R:2,Medium |
84.3 -
83.5
89.4 - 87.8 |
86.3% | AIControl |
12 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8068 | 21.9637 | 21.8943 | 21.9487 | F:2,Medium - R:2,Medium |
83.5 -
82.0
88.6 - 86.7 |
85.1% | AIControl |
13 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6273 | 21.8898 | 21.8668 | 21.8707 | F:2,Medium - R:2,Medium |
82.4 -
80.8
87.8 - 85.9 |
83.9% | AIControl |
14 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6427 | 21.9023 | 21.8835 | 21.8568 | F:2,Medium - R:2,Medium |
81.2 -
79.6
87.1 - 84.7 |
82.7% | AIControl |
15 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8279 | 22.0983 | 21.8641 | 21.8655 | F:2,Medium - R:2,Medium |
80.4 -
78.4
86.7 - 83.9 |
81.2% | AIControl |
16 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8873 | 21.8949 | 21.8702 | 22.1222 | F:2,Medium - R:2,Medium |
79.2 -
77.3
85.9 - 83.1 |
79.6% | AIControl |
17 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.7059 | 21.8810 | 21.8794 | 21.9456 | F:2,Medium - R:2,Medium |
78.0 -
76.1
85.1 - 82.0 |
78% | AIControl |
18 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6299 | 21.8955 | 21.8741 | 21.8602 | F:2,Medium - R:2,Medium |
76.9 -
74.5
84.3 - 81.2 |
76.9% | AIControl |
19 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.7682 | 21.9022 | 21.8971 | 21.9689 | F:2,Medium - R:2,Medium |
76.1 -
73.3
83.5 - 80.0 |
75.3% | AIControl |
20 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8083 | 21.9860 | 21.8809 | 21.9415 | F:2,Medium - R:2,Medium |
74.9 -
72.2
83.1 - 79.2 |
74.5% | AIControl |
21 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:07.8953 | 23.9935 | 21.9098 | 21.9919 | F:2,Medium - R:2,Medium |
73.7 -
71.0
82.4 - 78.0 |
72.9% | AIControl |
22 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6687 | 21.8145 | 21.8931 | 21.9612 | F:2,Medium - R:2,Medium |
72.5 -
69.8
81.6 - 77.3 |
71.4% | AIControl |
23 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8201 | 21.9720 | 21.8843 | 21.9637 | F:2,Medium - R:2,Medium |
71.8 -
68.2
80.8 - 76.5 |
70.2% | AIControl |
24 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8638 | 21.9833 | 21.9064 | 21.9741 | F:2,Medium - R:2,Medium |
70.6 -
67.1
80.0 - 75.3 |
69% | AIControl |
25 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:06.3000 | 22.4393 | 21.9098 | 21.9509 | F:2,Medium - R:2,Medium |
69.4 -
65.9
79.6 - 74.5 |
67.5% | AIControl |
26 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8071 | 21.9443 | 21.9098 | 21.9530 | F:2,Medium - R:2,Medium |
68.2 -
64.7
78.8 - 73.3 |
66.3% | AIControl |
27 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8562 | 21.9939 | 21.9045 | 21.9578 | F:2,Medium - R:2,Medium |
67.5 -
63.5
78.0 - 72.5 |
65.1% | AIControl |
28 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.4358 | 21.5671 | 21.8972 | 21.9714 | F:2,Medium - R:2,Medium |
66.3 -
62.4
77.3 - 71.8 |
63.9% | AIControl |
29 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8418 | 21.9961 | 21.9121 | 21.9336 | F:2,Medium - R:2,Medium |
65.1 -
61.2
76.9 - 70.6 |
62.7% | AIControl |
30 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8508 | 21.9812 | 21.9126 | 21.9570 | F:2,Medium - R:2,Medium |
64.3 -
60.0
76.1 - 69.8 |
61.6% | AIControl |
31 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8599 | 21.9915 | 21.9055 | 21.9629 | F:2,Medium - R:2,Medium |
63.1 -
58.4
75.3 - 68.6 |
60.4% | AIControl |
32 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8489 | 21.9761 | 21.9021 | 21.9707 | F:2,Medium - R:2,Medium |
62.0 -
57.3
74.5 - 67.8 |
58.8% | AIControl |
33 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8462 | 21.9670 | 21.9109 | 21.9683 | F:2,Medium - R:2,Medium |
61.2 -
56.1
74.1 - 67.1 |
57.6% | AIControl |
34 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8545 | 21.9832 | 21.9094 | 21.9619 | F:2,Medium - R:2,Medium |
60.0 -
54.9
73.3 - 65.9 |
56.1% | AIControl |
35 (P: 68.3676) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:12.2136 | 22.0615 | 21.8994 | 28.2527 | F:2,Medium - R:2,Medium |
58.8 -
53.3
72.5 - 64.7 |
54.9% | AIControl |
36 (P: 101.7438) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 02:16.2397 | 86.5171 | 21.8701 | 27.8525 | F:2,Medium - R:2,Medium |
98.8 -
98.4
99.2 - 98.8 |
98.8% | AIControl |
37 (P: 105.5947) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 02:49.9092 | 120.2935 | 21.5706 | 28.0452 | F:2,Medium - R:2,Medium |
98.8 -
98.4
99.2 - 98.8 |
98.8% | AIControl |
38 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 02:47.8313 | 123.9517 | 21.9097 | 21.9700 | F:2,Medium - R:2,Medium |
98.8 -
98.8
99.2 - 98.8 |
98.4% | AIControl |
39 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.7832 | 21.9417 | 21.9045 | 21.9370 | F:2,Medium - R:2,Medium |
98.0 -
97.6
98.4 - 98.0 |
97.3% | AIControl |
40 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8438 | 21.9749 | 21.9070 | 21.9619 | F:2,Medium - R:2,Medium |
96.9 -
96.1
97.6 - 97.3 |
96.1% | AIControl |
41 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8049 | 21.9756 | 21.9001 | 21.9292 | F:2,Medium - R:2,Medium |
95.7 -
94.9
97.3 - 96.1 |
94.9% | AIControl |
42 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8230 | 21.9805 | 21.8845 | 21.9580 | F:2,Medium - R:2,Medium |
94.5 -
93.7
96.5 - 95.3 |
93.7% | AIControl |
43 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6851 | 21.9731 | 21.7439 | 21.9680 | F:2,Medium - R:2,Medium |
93.7 -
92.5
95.7 - 94.1 |
92.5% | AIControl |
44 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.5984 | 21.9717 | 21.9014 | 21.7253 | F:2,Medium - R:2,Medium |
92.5 -
91.4
94.9 - 93.3 |
91% | AIControl |
45 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8223 | 21.9810 | 21.8896 | 21.9517 | F:2,Medium - R:2,Medium |
91.4 -
90.2
94.5 - 92.2 |
89.4% | AIControl |
46 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8416 | 21.9858 | 21.8982 | 21.9575 | F:2,Medium - R:2,Medium |
90.6 -
88.6
93.7 - 91.4 |
88.2% | AIControl |
47 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:06.1584 | 21.9438 | 22.3257 | 21.8889 | F:2,Medium - R:2,Medium |
89.4 -
87.5
92.9 - 90.6 |
87.1% | AIControl |
48 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.7456 | 21.9236 | 21.8811 | 21.9409 | F:2,Medium - R:2,Medium |
88.2 -
86.3
92.2 - 89.4 |
85.9% | AIControl |
49 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.8350 | 21.9788 | 21.9033 | 21.9529 | F:2,Medium - R:2,Medium |
87.1 -
85.1
91.4 - 88.6 |
84.3% | AIControl |
Average | 01:14.8887 | 28.6164 | 22.8598 | 23.4125 | |||||
Best possible | 01:04.8630 | 21.5671 | 21.5706 | 21.7253 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:06.1585 | 22.4226 | 21.8660 | 21.8699 | F:2,Medium - R:2,Medium |
97.3 -
97.3
98.0 - 97.6 |
97.6% | AIControl |
2 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.6276 | 21.8980 | 21.8613 | 21.8683 | F:2,Medium - R:2,Medium |
96.1 -
95.7
97.3 - 96.9 |
96.9% | AIControl |
3 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.7766 | 21.9681 | 21.8659 | 21.9426 | F:2,Medium - R:2,Medium |
94.9 -
94.5
96.5 - 96.1 |
95.7% | AIControl |
4 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.8025 | 21.9357 | 21.9017 | 21.9651 | F:2,Medium - R:2,Medium |
94.1 -
93.3
96.1 - 94.9 |
94.5% | AIControl |
5 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:33.7345 | 42.8983 | 21.9423 | 28.8939 | F:2,Medium - R:2,Medium |
92.5 -
91.8
94.9 - 93.7 |
93.3% | AIControl |
6 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 02:07.3317 | 42.8869 | 43.0702 | 41.3746 | F:2,Medium - R:2,Medium |
90.6 -
90.2
93.7 - 92.5 |
92.5% | AIControl |
7 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:07.5301 | 23.6682 | 21.8799 | 21.9820 | F:2,Medium - R:2,Medium |
89.8 -
89.0
92.9 - 91.8 |
91.8% | AIControl |
8 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 02:12.2758 | 36.8194 | 48.1278 | 47.3286 | F:2,Medium - R:2,Medium |
87.8 -
87.1
91.4 - 90.6 |
91% | AIControl |
9 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:08.0338 | 24.2075 | 21.8724 | 21.9538 | F:2,Medium - R:2,Medium |
86.7 -
85.9
91.0 - 89.4 |
89.4% | AIControl |
10 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.6497 | 21.8826 | 21.8900 | 21.8771 | F:2,Medium - R:2,Medium |
85.5 -
84.7
90.2 - 88.6 |
88.2% | AIControl |
11 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.5828 | 21.8848 | 21.8437 | 21.8544 | F:2,Medium - R:2,Medium |
84.7 -
83.5
89.4 - 87.8 |
87.1% | AIControl |
12 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.6346 | 21.8583 | 21.8513 | 21.9250 | F:2,Medium - R:2,Medium |
83.5 -
82.0
88.6 - 86.7 |
85.9% | AIControl |
13 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.7919 | 21.9589 | 21.8865 | 21.9465 | F:2,Medium - R:2,Medium |
82.4 -
80.8
87.8 - 85.9 |
84.7% | AIControl |
14 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.7915 | 21.9570 | 21.8866 | 21.9479 | F:2,Medium - R:2,Medium |
81.6 -
79.6
87.5 - 85.1 |
83.5% | AIControl |
15 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.8027 | 21.9722 | 21.8892 | 21.9414 | F:2,Medium - R:2,Medium |
80.4 -
78.4
86.7 - 83.9 |
82.4% | AIControl |
16 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.8092 | 21.9619 | 21.8927 | 21.9546 | F:2,Medium - R:2,Medium |
79.2 -
77.3
85.9 - 83.1 |
81.2% | AIControl |
17 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.7932 | 21.9666 | 21.8884 | 21.9382 | F:2,Medium - R:2,Medium |
78.4 -
76.1
85.1 - 82.0 |
80% | AIControl |
18 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.8230 | 21.9652 | 21.8927 | 21.9651 | F:2,Medium - R:2,Medium |
77.3 -
74.9
84.7 - 81.2 |
78.8% | AIControl |
19 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.7192 | 21.9669 | 21.8990 | 21.8533 | F:2,Medium - R:2,Medium |
76.1 -
73.7
83.9 - 80.4 |
77.3% | AIControl |
20 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.7528 | 21.9120 | 21.8884 | 21.9524 | F:2,Medium - R:2,Medium |
74.9 -
72.2
83.1 - 79.2 |
76.1% | AIControl |
21 (P: 113.4068) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:13.4922 | 23.6030 | 21.8538 | 28.0354 | F:2,Medium - R:2,Medium |
73.7 -
71.0
82.4 - 78.0 |
74.9% | AIControl |
22 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 02:56.3835 | 132.9150 | 21.5295 | 21.9390 | F:2,Medium - R:2,Medium |
98.8 -
98.8
99.2 - 98.8 |
98.4% | AIControl |
23 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.8206 | 21.9799 | 21.8982 | 21.9425 | F:2,Medium - R:2,Medium |
97.6 -
97.3
98.4 - 98.0 |
97.3% | AIControl |
24 (P: 55.5511) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:11.5125 | 21.6304 | 21.8527 | 28.0294 | F:2,Medium - R:2,Medium |
96.5 -
96.1
97.6 - 96.9 |
96.1% | AIControl |
25 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:58.9135 | 75.0653 | 21.8809 | 21.9673 | F:2,Medium - R:2,Medium |
98.8 -
98.8
99.2 - 98.8 |
98.4% | AIControl |
26 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.8262 | 21.9800 | 21.8967 | 21.9495 | F:2,Medium - R:2,Medium |
97.6 -
97.3
98.4 - 98.0 |
97.3% | AIControl |
27 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.6362 | 21.9739 | 21.8960 | 21.7664 | F:2,Medium - R:2,Medium |
96.9 -
96.1
97.6 - 96.9 |
95.7% | AIControl |
28 (P: 57.5367) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:11.3450 | 21.4832 | 21.8447 | 28.0171 | F:2,Medium - R:2,Medium |
95.3 -
94.5
96.9 - 96.1 |
94.5% | AIControl |
29 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 02:00.8704 | 77.0632 | 21.8606 | 21.9465 | F:2,Medium - R:2,Medium |
98.8 -
98.8
99.2 - 98.8 |
98.4% | AIControl |
30 (P: 102.9071) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:11.5186 | 21.9487 | 21.5308 | 28.0391 | F:2,Medium - R:2,Medium |
97.6 -
97.3
98.4 - 98.0 |
97.6% | AIControl |
31 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 02:46.0806 | 122.4116 | 21.8611 | 21.8079 | F:2,Medium - R:2,Medium |
98.8 -
98.4
99.2 - 98.8 |
98.4% | AIControl |
32 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.8318 | 21.9797 | 21.8899 | 21.9622 | F:2,Medium - R:2,Medium |
97.6 -
97.3
98.4 - 98.0 |
97.3% | AIControl |
33 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.7810 | 21.9661 | 21.8684 | 21.9465 | F:2,Medium - R:2,Medium |
96.5 -
96.1
97.6 - 96.9 |
96.1% | AIControl |
34 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.8208 | 21.9719 | 21.8933 | 21.9556 | F:2,Medium - R:2,Medium |
95.7 -
94.9
96.9 - 96.1 |
94.5% | AIControl |
35 | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.7217 | 21.9209 | 21.8962 | 21.9045 | F:2,Medium - R:2,Medium |
94.5 -
93.7
96.5 - 95.3 |
93.7% | AIControl |
Average | 01:20.1707 | 32.8538 | 23.2157 | 24.1012 | |||||
Best possible | 01:04.7791 | 21.4832 | 21.5295 | 21.7664 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Airwaves Racing #6 Mat Jackson '14 - Ford Focus | 01:06.3165 | 22.4386 | 21.9092 | 21.9688 | F:2,Medium - R:2,Medium |
97.3 -
96.9
98.0 - 97.6 |
98% | AIControl |
2 | Airwaves Racing #6 Mat Jackson '14 - Ford Focus | 01:05.7339 | 21.9674 | 21.8741 | 21.8924 | F:2,Medium - R:2,Medium |
96.1 -
95.7
97.3 - 96.9 |
96.9% | AIControl |
3 (P: 109.0526) | Airwaves Racing #6 Mat Jackson '14 - Ford Focus | 01:11.8352 | 21.9376 | 21.8615 | 28.0362 | F:2,Medium - R:2,Medium |
94.9 -
94.5
96.5 - 96.1 |
95.7% | AIControl |
4 | Airwaves Racing #6 Mat Jackson '14 - Ford Focus | 03:52.0627 | 135.7400 | 48.2713 | 48.0515 | F:2,Medium - R:2,Medium |
98.0 -
98.0
98.4 - 98.8 |
99.2% | AIControl |
5 | Airwaves Racing #6 Mat Jackson '14 - Ford Focus | 01:22.5410 | 36.4075 | 21.9031 | 24.2303 | F:2,Medium - R:2,Medium |
96.9 -
96.9
97.6 - 97.6 |
98% | AIControl |
Average | 01:43.6978 | 47.6982 | 27.1638 | 28.8358 | |||||
Best possible | 01:05.6915 | 21.9376 | 21.8615 | 21.8924 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.4358 | |
Kim F (AI) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.5828 | 0.147 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.5984 | 0.1626 |
Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6125 | 0.1767 |
Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6165 | 0.1807 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6273 | 0.1915 |
Kim F (AI) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.6276 | 0.1918 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6299 | 0.1941 |
Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6331 | 0.1973 |
Kim F (AI) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.6346 | 0.1988 |
Kim F (AI) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.6362 | 0.2004 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6427 | 0.2069 |
Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6436 | 0.2078 |
Kim F (AI) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.6497 | 0.2139 |
Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6685 | 0.2327 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6687 | 0.2329 |
Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6689 | 0.2331 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.6737 | 0.2379 |
Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6747 | 0.2389 |
Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6765 | 0.2407 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 01:05.4358 | |
Kim F (AI) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 01:05.5828 | 0.147 |
Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 01:05.6125 | 0.1767 |
Mat J (AI) | Airwaves Racing #6 Mat Jackson '14 - Ford Focus | 01:05.7339 | 0.2981 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Jack C (AI) | Crabbie's Racing #44 Jack Clarke '14 - Ford Focus | 99.63% <> 0.2426 |
Kim F (AI) | Motorbase Performance #7 Mat Jackson '16 - Ford Focus | 99.45% <> 0.3616 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 99.19% <> 0.5271 |
Mat J (AI) | Airwaves Racing #6 Mat Jackson '14 - Ford Focus | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Kim F (AI) | 21.4832 | - |
Rory B (AI) | 21.5671 | 0.0839 |
Jack C (AI) | 21.8806 | 0.3974 |
Mat J (AI) | 21.9376 | 0.4544 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Kim F (AI) | 21.5295 | - |
Rory B (AI) | 21.5706 | 0.0411 |
Jack C (AI) | 21.8579 | 0.3284 |
Mat J (AI) | 21.8615 | 0.3320 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Rory B (AI) | 21.7253 | - |
Jack C (AI) | 21.7629 | 0.0376 |
Kim F (AI) | 21.7664 | 0.0411 |
Mat J (AI) | 21.8924 | 0.1671 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Gol G1 |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Luiz B (AI) |
Led most laps | Luiz B (AI) |
Best lap | Rodrigo M (AI) (00:42.6401) |
Max minutes | 60 |
Lasted laps | 4 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|
1 | ▸ 0 | Luiz B (AI) | #2100 Luiz Bonacorso - Gol G1 | 4 | DNF | 00:42.6404 | - | 2 | 1 | AIControl |
2 | ▸ 0 | Rodrigo M (AI) | #2266 Rodrigo Mizukami - Gol G1 | 4 | Accident | 00:42.6401 | - | 0 | 1 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #2100 Luiz Bonacorso - Gol G1 | 00:44.4778 | 16.0923 | 14.1295 | 14.2560 | F:0,Race - R:0,Race |
96.5 -
95.7
97.3 - 96.9 |
89.4% | AIControl |
2 | #2100 Luiz Bonacorso - Gol G1 | 00:42.6404 | 14.2453 | 14.1379 | 14.2571 | F:0,Race - R:0,Race |
95.3 -
93.7
96.5 - 95.3 |
83.9% | AIControl |
3 (P: 35.1717) | #2100 Luiz Bonacorso - Gol G1 | 01:13.6803 | 16.2056 | 16.0070 | 41.4677 | F:0,Race - R:0,Race |
99.6 -
99.6
99.6 - 99.6 |
99.6% | AIControl |
4 | #2100 Luiz Bonacorso - Gol G1 | 01:07.3455 | 26.5929 | 17.1423 | 23.6103 | F:0,Race - R:0,Race |
98.4 -
97.3
98.4 - 97.6 |
93.7% | AIControl |
Average | 00:57.0360 | 18.2840 | 15.3542 | 23.3978 | |||||
Best possible | 00:42.6308 | 14.2453 | 14.1295 | 14.2560 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #2266 Rodrigo Mizukami - Gol G1 | 00:44.5408 | 16.1471 | 14.1378 | 14.2559 | F:0,Race - R:0,Race |
96.5 -
95.7
97.3 - 96.9 |
89.8% | AIControl |
2 | #2266 Rodrigo Mizukami - Gol G1 | 00:42.6401 | 14.2490 | 14.1345 | 14.2566 | F:0,Race - R:0,Race |
95.3 -
93.7
96.5 - 95.7 |
84.3% | AIControl |
3 | #2266 Rodrigo Mizukami - Gol G1 | 01:01.3258 | 16.2122 | 24.6002 | 20.5134 | F:0,Race - R:0,Race |
94.1 -
91.4
95.3 - 94.1 |
80% | AIControl |
4 (P: 33.4924) | #2266 Rodrigo Mizukami - Gol G1 | 01:22.1141 | 14.3434 | 17.9363 | 49.8344 | F:0,Race - R:0,Race |
99.6 -
99.6
99.6 - 99.6 |
99.6% | AIControl |
Average | 00:57.6552 | 15.2379 | 17.7022 | 24.7151 | |||||
Best possible | 00:42.6394 | 14.2490 | 14.1345 | 14.2559 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Rodrigo M (AI) | #2266 Rodrigo Mizukami - Gol G1 | 00:42.6401 | |
Luiz B (AI) | #2100 Luiz Bonacorso - Gol G1 | 00:42.6404 | 0.0003 |
Luiz B (AI) | #2100 Luiz Bonacorso - Gol G1 | 00:44.4778 | 1.8377 |
Rodrigo M (AI) | #2266 Rodrigo Mizukami - Gol G1 | 00:44.5408 | 1.9007 |
Rodrigo M (AI) | #2266 Rodrigo Mizukami - Gol G1 | 01:01.3258 | 18.6857 |
Luiz B (AI) | #2100 Luiz Bonacorso - Gol G1 | 01:07.3455 | 24.7054 |
Luiz B (AI) | #2100 Luiz Bonacorso - Gol G1 | 01:13.6803 | 31.0402 |
Rodrigo M (AI) | #2266 Rodrigo Mizukami - Gol G1 | 01:22.1141 | 39.474 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Rodrigo M (AI) | #2266 Rodrigo Mizukami - Gol G1 | 00:42.6401 | |
Luiz B (AI) | #2100 Luiz Bonacorso - Gol G1 | 00:42.6404 | 0.0003 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Luiz B (AI) | #2100 Luiz Bonacorso - Gol G1 | - |
Rodrigo M (AI) | #2266 Rodrigo Mizukami - Gol G1 | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Luiz B (AI) | 14.2453 | - |
Rodrigo M (AI) | 14.2490 | 0.0037 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Luiz B (AI) | 14.1295 | - |
Rodrigo M (AI) | 14.1345 | 0.0050 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Rodrigo M (AI) | 14.2559 | - |
Luiz B (AI) | 14.2560 | 0.0001 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | GolG4 |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Thiago D (AI) |
Led most laps | Thiago D (AI) |
Best lap | Fernando Y (AI) (00:54.0542) |
Max minutes | 60 |
Lasted laps | 6 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | ▴ 17 | Thiago D (AI) | #998 - Thiago Dafonte - Gol G4 (GolG4) | 6 | Engine | 00:54.1103 | 84.23% | 0 | AIControl |
2 | ▴ 17 | Fernando Y (AI) | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 6 | Engine | 00:54.0542 | 95.39% | 0 | AIControl |
3 | ▴ 14 | Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 4 | Accident | 00:54.3658 | 95.01% | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #998 - Thiago Dafonte - Gol G4 (GolG4) | 00:55.8701 | 19.7900 | 18.0399 | 18.0402 | F:0,Race - R:0,Race |
96.5 -
96.1
96.9 - 96.9 |
97.6% | AIControl |
2 | #998 - Thiago Dafonte - Gol G4 (GolG4) | 00:54.1538 | 18.0371 | 18.0645 | 18.0523 | F:0,Race - R:0,Race |
95.3 -
94.5
95.7 - 95.3 |
95.7% | AIControl |
3 | #998 - Thiago Dafonte - Gol G4 (GolG4) | 00:54.1103 | 18.0459 | 18.0424 | 18.0220 | F:0,Race - R:0,Race |
94.5 -
92.9
94.9 - 94.1 |
94.5% | AIControl |
4 | #998 - Thiago Dafonte - Gol G4 (GolG4) | 00:59.6473 | 18.0529 | 18.0193 | 23.5752 | F:0,Race - R:0,Race |
93.3 -
91.4
93.7 - 92.9 |
92.9% | AIControl |
5 | #998 - Thiago Dafonte - Gol G4 (GolG4) | 01:14.1234 | 24.9354 | 24.5780 | 24.6100 | F:0,Race - R:0,Race |
91.8 -
89.4
92.5 - 91.4 |
91.8% | AIControl |
6 | #998 - Thiago Dafonte - Gol G4 (GolG4) | 02:20.2321 | 62.0963 | 36.3718 | 41.7640 | F:0,Race - R:0,Race |
89.0 -
87.1
90.2 - 89.0 |
90.6% | AIControl |
Average | 01:13.0229 | 26.8263 | 22.1860 | 24.0106 | |||||
Best possible | 00:54.0784 | 18.0371 | 18.0193 | 18.0220 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:56.8400 | 20.6631 | 18.1578 | 18.0190 | F:0,Race - R:0,Race |
96.5 -
96.1
96.9 - 96.9 |
97.6% | AIControl |
2 | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:54.1155 | 18.0524 | 18.0435 | 18.0197 | F:0,Race - R:0,Race |
95.3 -
94.5
95.7 - 95.3 |
96.1% | AIControl |
3 | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:54.0542 | 18.0413 | 18.0059 | 18.0070 | F:0,Race - R:0,Race |
94.5 -
92.9
94.9 - 94.1 |
94.5% | AIControl |
4 | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:57.2915 | 18.1425 | 18.0277 | 21.1213 | F:0,Race - R:0,Race |
93.3 -
91.4
93.7 - 92.5 |
93.3% | AIControl |
5 | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:58.2319 | 22.0095 | 18.0905 | 18.1319 | F:0,Race - R:0,Race |
92.2 -
89.4
92.5 - 91.0 |
91.4% | AIControl |
6 | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 02:27.8895 | 66.6907 | 48.1010 | 33.0977 | F:0,Race - R:0,Race |
89.0 -
87.1
90.2 - 89.0 |
90.2% | AIControl |
Average | 01:11.4038 | 27.2666 | 23.0711 | 21.0661 | |||||
Best possible | 00:54.0542 | 18.0413 | 18.0059 | 18.0070 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #330 - Renato Brizolari - Gol G4 (GolG4) | 00:56.9402 | 20.7599 | 18.1593 | 18.0210 | F:0,Race - R:0,Race |
96.5 -
96.1
96.9 - 96.9 |
96.9% | AIControl |
2 | #330 - Renato Brizolari - Gol G4 (GolG4) | 00:54.3905 | 18.1582 | 18.0968 | 18.1355 | F:0,Race - R:0,Race |
95.3 -
94.5
95.7 - 95.3 |
95.7% | AIControl |
3 | #330 - Renato Brizolari - Gol G4 (GolG4) | 00:54.3658 | 18.1462 | 18.1017 | 18.1178 | F:0,Race - R:0,Race |
94.1 -
92.5
94.5 - 94.1 |
94.1% | AIControl |
4 | #330 - Renato Brizolari - Gol G4 (GolG4) | 00:59.7694 | 18.0970 | 18.0259 | 23.6465 | F:0,Race - R:0,Race |
91.8 -
90.2
92.9 - 92.2 |
92.9% | AIControl |
Average | 00:56.3664 | 18.7903 | 18.0959 | 19.4802 | |||||
Best possible | 00:54.1439 | 18.0970 | 18.0259 | 18.0210 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Fernando Y (AI) | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:54.0542 | |
Thiago D (AI) | #998 - Thiago Dafonte - Gol G4 (GolG4) | 00:54.1103 | 0.0561 |
Fernando Y (AI) | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:54.1155 | 0.0613 |
Thiago D (AI) | #998 - Thiago Dafonte - Gol G4 (GolG4) | 00:54.1538 | 0.0996 |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 00:54.3658 | 0.3116 |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 00:54.3905 | 0.3363 |
Thiago D (AI) | #998 - Thiago Dafonte - Gol G4 (GolG4) | 00:55.8701 | 1.8159 |
Fernando Y (AI) | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:56.8400 | 2.7858 |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 00:56.9402 | 2.886 |
Fernando Y (AI) | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:57.2915 | 3.2373 |
Fernando Y (AI) | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:58.2319 | 4.1777 |
Thiago D (AI) | #998 - Thiago Dafonte - Gol G4 (GolG4) | 00:59.6473 | 5.5931 |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 00:59.7694 | 5.7152 |
Thiago D (AI) | #998 - Thiago Dafonte - Gol G4 (GolG4) | 01:14.1234 | 20.0692 |
Thiago D (AI) | #998 - Thiago Dafonte - Gol G4 (GolG4) | 02:20.2321 | 86.1779 |
Fernando Y (AI) | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 02:27.8895 | 93.8353 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Fernando Y (AI) | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 00:54.0542 | |
Thiago D (AI) | #998 - Thiago Dafonte - Gol G4 (GolG4) | 00:54.1103 | 0.0561 |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 00:54.3658 | 0.3116 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Fernando Y (AI) | #961 - Fernando Yamanaka - Gol G4 (GolG4) | 95.39% <> 2.4921 |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 95.01% <> 2.7142 |
Thiago D (AI) | #998 - Thiago Dafonte - Gol G4 (GolG4) | 84.23% <> 8.5312 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Thiago D (AI) | 18.0371 | - |
Fernando Y (AI) | 18.0413 | 0.0042 |
Renato B (AI) | 18.0970 | 0.0599 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Fernando Y (AI) | 18.0059 | - |
Thiago D (AI) | 18.0193 | 0.0134 |
Renato B (AI) | 18.0259 | 0.0200 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Fernando Y (AI) | 18.0070 | - |
Renato B (AI) | 18.0210 | 0.0140 |
Thiago D (AI) | 18.0220 | 0.0150 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Honda Civic WTCC-TC1 |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Daniel N (AI) |
Led most laps | Daniel N (AI) |
Best lap | Daniel N (AI) (00:57.4935) |
Max minutes | 60 |
Lasted laps | 4 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Aids |
---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 32 | 99 | Daniel N (AI) | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 4 | Accident | 00:57.4935 | 99.94% | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Fuel | Aids |
---|---|---|---|---|---|---|---|---|
1 | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 01:00.1132 | 21.3713 | 19.5064 | 19.2354 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 91.8% | AIControl |
2 | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 00:57.4935 | 19.1510 | 19.1453 | 19.1971 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 86.7% | AIControl |
3 | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 00:57.5239 | 19.1525 | 19.1526 | 19.2189 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 81.6% | AIControl |
4 | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 00:57.5367 | 19.1618 | 19.1513 | 19.2236 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 76.5% | AIControl |
Average | 00:58.1669 | 19.7092 | 19.2389 | 19.2188 | ||||
Best possible | 00:57.4934 | 19.1510 | 19.1453 | 19.1971 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Daniel N (AI) | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 00:57.4935 | |
Daniel N (AI) | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 00:57.5239 | 0.0304 |
Daniel N (AI) | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 00:57.5367 | 0.0432 |
Daniel N (AI) | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 01:00.1132 | 2.6197 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Daniel N (AI) | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 00:57.4935 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Daniel N (AI) | #99 Daniel Nagy - Honda Civic WTCC-TC1 | 99.94% <> 0.0368 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Daniel N (AI) | 19.1510 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Daniel N (AI) | 19.1453 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Daniel N (AI) | 19.1971 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Lamborghini Huracan GT3 |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Bryan S (AI) |
Led most laps | Bryan S (AI) |
Best lap | Bryan S (AI) (00:54.2402) |
Max minutes | 60 |
Lasted laps | 58 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 29 | 48 | Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 58 | 01:01:04.1296 | 00:54.2402 | 92.86% | 0 | 3 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:58.4868 | 20.2154 | 19.0906 | 19.1807 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
98.4
97.3 - 97.3 |
97.3% | AIControl |
2 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:57.5143 | 19.1850 | 19.1539 | 19.1754 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
97.6
96.5 - 96.1 |
95.7% | AIControl |
3 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:57.5188 | 19.1879 | 19.1500 | 19.1808 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
96.9
95.3 - 94.9 |
94.5% | AIControl |
4 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:57.4872 | 19.1784 | 19.1424 | 19.1664 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
96.5
94.5 - 93.7 |
92.9% | AIControl |
5 (P: 83.065) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:40.8716 | 53.8243 | 20.8224 | 26.2249 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
95.7
93.3 - 92.5 |
91.4% | AIControl |
6 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 02:42.4510 | 96.7785 | 25.9223 | 39.7502 | F:0,Dry Medium - R:0,Dry Medium |
99.2 -
99.2
98.8 - 98.8 |
98.4% | AIControl |
7 (P: 59.297) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:11.4888 | 22.0815 | 21.4685 | 27.9388 | F:0,Dry Medium - R:0,Dry Medium |
98.8 -
98.4
97.6 - 97.3 |
97.3% | AIControl |
8 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 02:01.1030 | 71.2966 | 21.6043 | 28.2021 | F:0,Dry Medium - R:0,Dry Medium |
99.6 -
99.2
98.8 - 98.8 |
98.4% | AIControl |
9 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:05.9094 | 23.4093 | 20.7495 | 21.7506 | F:0,Dry Medium - R:0,Dry Medium |
98.8 -
98.4
97.6 - 97.6 |
96.9% | AIControl |
10 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.8560 | 19.1491 | 18.7391 | 18.9678 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
98.0
96.5 - 96.1 |
94.9% | AIControl |
11 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:57.2894 | 18.9836 | 18.9876 | 19.3182 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
97.3
95.7 - 94.9 |
93.3% | AIControl |
12 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:58.0833 | 19.6931 | 19.2584 | 19.1317 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
96.5
94.5 - 93.7 |
91.4% | AIControl |
13 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.7988 | 19.0181 | 18.9624 | 18.8184 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
96.1
93.3 - 92.5 |
89.8% | AIControl |
14 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.9719 | 18.9891 | 19.0037 | 18.9791 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
95.3
92.2 - 91.0 |
87.8% | AIControl |
15 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.7971 | 18.7268 | 18.8453 | 19.2250 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
94.5
91.4 - 89.8 |
85.9% | AIControl |
16 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.6097 | 18.7185 | 18.8971 | 18.9941 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
94.1
90.2 - 88.6 |
83.9% | AIControl |
17 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:02.5237 | 18.9856 | 21.2081 | 22.3300 | F:0,Dry Medium - R:0,Dry Medium |
95.7 -
93.3
89.4 - 87.5 |
82.4% | AIControl |
18 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:05.3601 | 21.6499 | 21.8590 | 21.8512 | F:0,Dry Medium - R:0,Dry Medium |
95.3 -
92.5
88.2 - 86.3 |
80.8% | AIControl |
19 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:05.6079 | 22.0037 | 21.6930 | 21.9113 | F:0,Dry Medium - R:0,Dry Medium |
94.9 -
91.8
87.5 - 85.1 |
79.6% | AIControl |
20 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:59.6332 | 21.8910 | 19.6838 | 18.0583 | F:0,Dry Medium - R:0,Dry Medium |
94.5 -
91.4
86.3 - 83.9 |
78% | AIControl |
21 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.7498 | 18.7546 | 18.9530 | 19.0421 | F:0,Dry Medium - R:0,Dry Medium |
94.1 -
90.6
85.1 - 82.7 |
76.1% | AIControl |
22 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.4515 | 19.0217 | 18.8157 | 18.6141 | F:0,Dry Medium - R:0,Dry Medium |
93.7 -
89.8
84.3 - 81.6 |
74.1% | AIControl |
23 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:57.2218 | 18.9709 | 18.9678 | 19.2831 | F:0,Dry Medium - R:0,Dry Medium |
93.3 -
89.4
83.1 - 80.4 |
72.2% | AIControl |
24 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.9125 | 19.1680 | 18.9813 | 18.7632 | F:0,Dry Medium - R:0,Dry Medium |
92.9 -
88.6
82.0 - 78.8 |
70.6% | AIControl |
25 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.8466 | 18.9581 | 18.9427 | 18.9457 | F:0,Dry Medium - R:0,Dry Medium |
92.5 -
87.8
81.2 - 77.6 |
68.6% | AIControl |
26 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.7021 | 18.9237 | 18.8666 | 18.9119 | F:0,Dry Medium - R:0,Dry Medium |
92.2 -
87.5
80.0 - 76.5 |
66.7% | AIControl |
27 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:00.0908 | 19.5106 | 20.2036 | 20.3766 | F:0,Dry Medium - R:0,Dry Medium |
91.8 -
86.7
78.8 - 74.9 |
65.1% | AIControl |
28 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:05.6346 | 21.8412 | 21.9216 | 21.8718 | F:0,Dry Medium - R:0,Dry Medium |
91.4 -
85.9
77.6 - 73.7 |
63.5% | AIControl |
29 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:05.7229 | 21.9382 | 21.8578 | 21.9269 | F:0,Dry Medium - R:0,Dry Medium |
90.6 -
85.5
76.9 - 72.5 |
62.4% | AIControl |
30 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:05.5483 | 21.8552 | 21.8071 | 21.8860 | F:0,Dry Medium - R:0,Dry Medium |
90.2 -
84.7
75.7 - 71.8 |
61.2% | AIControl |
31 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:00.0830 | 21.8879 | 19.6509 | 18.5442 | F:0,Dry Medium - R:0,Dry Medium |
89.8 -
83.9
74.5 - 70.6 |
59.6% | AIControl |
32 (P: 68.3929) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:01.7993 | 18.2458 | 18.1360 | 25.4175 | F:0,Dry Medium - R:0,Dry Medium |
89.4 -
83.1
73.7 - 69.0 |
58% | AIControl |
33 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 02:01.1553 | 82.9138 | 19.2578 | 18.9836 | F:0,Dry Medium - R:0,Dry Medium |
99.6 -
99.2
98.8 - 98.8 |
98% | AIControl |
34 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 01:00.1377 | 18.9343 | 19.2268 | 21.9766 | F:0,Dry Medium - R:0,Dry Medium |
99.2 -
98.8
97.6 - 97.3 |
96.5% | AIControl |
35 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:59.8123 | 21.9546 | 19.1018 | 18.7559 | F:0,Dry Medium - R:0,Dry Medium |
98.8 -
98.0
96.5 - 96.1 |
94.9% | AIControl |
36 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.5234 | 18.8411 | 18.3928 | 18.2896 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
97.3
95.7 - 94.9 |
92.9% | AIControl |
37 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.4302 | 18.0051 | 18.2195 | 18.2056 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
96.5
94.5 - 93.7 |
91% | AIControl |
38 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.6550 | 18.2659 | 18.0815 | 18.3076 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
95.7
93.3 - 92.2 |
89% | AIControl |
39 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.6130 | 18.1162 | 18.0674 | 18.4294 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
95.3
92.5 - 91.0 |
87.5% | AIControl |
40 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.2402 | 17.9861 | 17.8723 | 18.3818 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
94.5
91.4 - 89.8 |
85.5% | AIControl |
41 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.2725 | 18.0676 | 17.9019 | 18.3030 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
93.7
90.2 - 88.6 |
83.5% | AIControl |
42 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.4038 | 18.3103 | 17.9338 | 18.1597 | F:0,Dry Medium - R:0,Dry Medium |
96.1 -
93.3
89.4 - 87.1 |
82% | AIControl |
43 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.4824 | 18.2878 | 18.7271 | 18.4675 | F:0,Dry Medium - R:0,Dry Medium |
95.7 -
92.5
88.2 - 85.9 |
80% | AIControl |
44 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.7119 | 18.6531 | 18.4419 | 18.6169 | F:0,Dry Medium - R:0,Dry Medium |
95.3 -
91.8
87.5 - 84.7 |
78.4% | AIControl |
45 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.5042 | 18.5833 | 18.4351 | 18.4858 | F:0,Dry Medium - R:0,Dry Medium |
94.9 -
91.0
86.7 - 83.5 |
76.9% | AIControl |
46 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.4390 | 18.5737 | 18.4255 | 18.4397 | F:0,Dry Medium - R:0,Dry Medium |
94.5 -
90.6
85.5 - 82.4 |
75.3% | AIControl |
47 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.4653 | 19.0945 | 18.8513 | 18.5195 | F:0,Dry Medium - R:0,Dry Medium |
94.1 -
89.8
84.7 - 81.2 |
73.7% | AIControl |
48 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.5156 | 18.3220 | 18.5950 | 18.5986 | F:0,Dry Medium - R:0,Dry Medium |
93.7 -
89.0
83.5 - 80.0 |
72.2% | AIControl |
49 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:58.6099 | 18.3279 | 20.8733 | 19.4087 | F:0,Dry Medium - R:0,Dry Medium |
93.3 -
88.6
82.7 - 78.8 |
70.6% | AIControl |
50 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:57.2300 | 19.2000 | 18.9915 | 19.0386 | F:0,Dry Medium - R:0,Dry Medium |
92.9 -
87.8
81.6 - 77.6 |
68.6% | AIControl |
51 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:57.0298 | 19.0232 | 18.9675 | 19.0391 | F:0,Dry Medium - R:0,Dry Medium |
92.5 -
87.1
80.4 - 76.5 |
66.7% | AIControl |
52 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:57.2502 | 18.9124 | 19.2717 | 19.0662 | F:0,Dry Medium - R:0,Dry Medium |
92.2 -
86.3
79.2 - 74.9 |
65.1% | AIControl |
53 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.7910 | 19.0198 | 18.8650 | 18.9063 | F:0,Dry Medium - R:0,Dry Medium |
91.8 -
85.9
78.0 - 73.7 |
63.1% | AIControl |
54 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.5549 | 18.8362 | 18.8130 | 18.9058 | F:0,Dry Medium - R:0,Dry Medium |
91.4 -
85.1
76.9 - 72.5 |
61.2% | AIControl |
55 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:57.2473 | 19.3296 | 19.1187 | 18.7991 | F:0,Dry Medium - R:0,Dry Medium |
91.0 -
84.3
76.1 - 71.0 |
59.2% | AIControl |
56 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:57.2788 | 19.2871 | 18.9563 | 19.0354 | F:0,Dry Medium - R:0,Dry Medium |
90.6 -
83.9
74.9 - 69.8 |
57.3% | AIControl |
57 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:59.9001 | 20.4272 | 20.4448 | 19.0281 | F:0,Dry Medium - R:0,Dry Medium |
90.2 -
83.1
73.7 - 68.6 |
55.7% | AIControl |
58 | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.9480 | 18.9458 | 18.9634 | 19.0388 | F:0,Dry Medium - R:0,Dry Medium |
89.8 -
82.4
72.5 - 67.5 |
53.7% | AIControl |
Average | 01:03.0574 | 23.3838 | 19.4852 | 20.1884 | |||||
Best possible | 00:53.9167 | 17.9861 | 17.8723 | 18.0583 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.2402 | |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.2725 | 0.0323 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.4038 | 0.1636 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.4302 | 0.19 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.6130 | 0.3728 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.6550 | 0.4148 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.4390 | 1.1988 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.4824 | 1.2422 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.5042 | 1.264 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.5156 | 1.2754 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.5234 | 1.2832 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:55.7119 | 1.4717 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.4515 | 2.2113 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.4653 | 2.2251 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.5549 | 2.3147 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.6097 | 2.3695 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.7021 | 2.4619 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.7498 | 2.5096 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.7910 | 2.5508 |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:56.7971 | 2.5569 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 00:54.2402 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Bryan S (AI) | #48 - Paul Miller Racing - IMSA WeatherTech SportsCar Cham (Lamborghini Huracan GT3) | 92.86% <> 3.8744 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Bryan S (AI) | 17.9861 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Bryan S (AI) | 17.8723 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Bryan S (AI) | 18.0583 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Lister |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Marc M (AI) |
Led most laps | Marc M (AI) |
Best lap | Marc M (AI) (00:47.8177) |
Max minutes | 60 |
Lasted laps | 64 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 20 | 26 | Marc M (AI) | Marc Marquez #93 - Lister | 64 | 01:01:17.3728 | 00:47.8177 | 87.37% | 4 | 2 | AIControl |
2 | ▴ 13 | 601 | Takaaki N (AI) | Dani Pedrosa #26 - Lister | 4 | Engine | 00:48.4947 | - | 0 | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Marc Marquez #93 - Lister | 00:56.0581 | 20.5748 | 18.1544 | 17.3289 | F:2,Hard - R:2,Hard |
96.1 -
95.7
95.7 - 95.7 |
97.6% | AIControl |
2 | Marc Marquez #93 - Lister | 00:51.9088 | 17.8896 | 17.2920 | 16.7272 | F:2,Hard - R:2,Hard |
94.9 -
94.1
93.7 - 93.3 |
96.1% | AIControl |
3 | Marc Marquez #93 - Lister | 00:48.8509 | 16.2299 | 16.0534 | 16.5675 | F:2,Hard - R:2,Hard |
93.7 -
92.2
91.8 - 91.4 |
94.5% | AIControl |
4 | Marc Marquez #93 - Lister | 00:57.9299 | 17.9246 | 22.5702 | 17.4351 | F:2,Hard - R:2,Hard |
92.5 -
90.2
89.8 - 89.0 |
92.9% | AIControl |
5 | Marc Marquez #93 - Lister | 00:52.5580 | 19.1972 | 16.7271 | 16.6337 | F:2,Hard - R:2,Hard |
91.4 -
88.6
87.5 - 86.7 |
91% | AIControl |
6 | Marc Marquez #93 - Lister | 02:37.9774 | 97.0382 | 31.0070 | 29.9321 | F:2,Hard - R:2,Hard |
87.5 -
84.7
84.3 - 83.5 |
89.4% | AIControl |
7 | Marc Marquez #93 - Lister | 01:08.8521 | 21.5163 | 21.5315 | 25.8043 | F:2,Hard - R:2,Hard |
85.9 -
82.7
82.4 - 81.2 |
87.8% | AIControl |
8 (P: 38.9566) | Marc Marquez #93 - Lister | 01:31.0233 | 21.9303 | 21.4605 | 47.6324 | F:2,Hard - R:2,Hard |
99.6 -
99.6
99.6 - 99.6 |
100% | AIControl |
9 | Marc Marquez #93 - Lister | 01:42.0585 | 29.2799 | 26.4493 | 46.3293 | F:2,Hard - R:2,Hard |
97.6 -
97.6
97.3 - 97.3 |
98.8% | AIControl |
10 | Marc Marquez #93 - Lister | 01:01.3615 | 23.5697 | 20.3624 | 17.4294 | F:2,Hard - R:2,Hard |
96.1 -
95.7
95.3 - 95.3 |
97.3% | AIControl |
11 | Marc Marquez #93 - Lister | 00:49.5461 | 16.5474 | 16.4420 | 16.5568 | F:2,Hard - R:2,Hard |
94.9 -
93.7
93.3 - 92.9 |
95.3% | AIControl |
12 | Marc Marquez #93 - Lister | 00:49.4288 | 16.4512 | 16.4263 | 16.5513 | F:2,Hard - R:2,Hard |
94.1 -
92.2
91.4 - 90.6 |
93.7% | AIControl |
13 | Marc Marquez #93 - Lister | 00:49.4227 | 16.4520 | 16.4236 | 16.5472 | F:2,Hard - R:2,Hard |
92.9 -
90.2
89.4 - 88.2 |
91.8% | AIControl |
14 | Marc Marquez #93 - Lister | 00:53.4028 | 16.4530 | 16.6158 | 20.3340 | F:2,Hard - R:2,Hard |
91.4 -
88.6
87.5 - 86.3 |
90.2% | AIControl |
15 | Marc Marquez #93 - Lister | 00:50.3589 | 17.7666 | 16.3734 | 16.2189 | F:2,Hard - R:2,Hard |
90.6 -
86.7
85.5 - 84.3 |
88.6% | AIControl |
16 | Marc Marquez #93 - Lister | 00:47.8177 | 15.8578 | 15.8651 | 16.0948 | F:2,Hard - R:2,Hard |
89.4 -
85.1
83.5 - 82.0 |
87.1% | AIControl |
17 | Marc Marquez #93 - Lister | 00:48.0873 | 15.9768 | 15.9764 | 16.1340 | F:2,Hard - R:2,Hard |
88.2 -
83.1
81.6 - 80.0 |
85.1% | AIControl |
18 | Marc Marquez #93 - Lister | 00:52.3730 | 18.1323 | 17.4839 | 16.7568 | F:2,Hard - R:2,Hard |
87.1 -
81.6
79.6 - 77.6 |
83.5% | AIControl |
19 | Marc Marquez #93 - Lister | 01:05.8024 | 21.8997 | 21.8405 | 22.0623 | F:2,Hard - R:2,Hard |
85.5 -
79.6
77.6 - 75.7 |
82.7% | AIControl |
20 | Marc Marquez #93 - Lister | 01:05.8026 | 21.9421 | 21.8842 | 21.9763 | F:2,Hard - R:2,Hard |
84.3 -
78.0
76.1 - 74.1 |
81.6% | AIControl |
21 | Marc Marquez #93 - Lister | 01:05.8300 | 21.9617 | 21.8734 | 21.9949 | F:2,Hard - R:2,Hard |
82.7 -
76.1
74.1 - 72.2 |
80.4% | AIControl |
22 | Marc Marquez #93 - Lister | 01:05.5887 | 21.9701 | 21.7858 | 21.8329 | F:2,Hard - R:2,Hard |
81.6 -
74.5
72.5 - 70.2 |
79.2% | AIControl |
23 | Marc Marquez #93 - Lister | 00:55.7444 | 21.8477 | 18.0994 | 15.7974 | F:2,Hard - R:2,Hard |
80.4 -
72.5
70.6 - 68.2 |
77.6% | AIControl |
24 | Marc Marquez #93 - Lister | 00:49.2975 | 17.1216 | 16.1757 | 16.0002 | F:2,Hard - R:2,Hard |
79.2 -
70.6
68.6 - 65.9 |
76.1% | AIControl |
25 | Marc Marquez #93 - Lister | 00:49.9020 | 16.0306 | 16.8069 | 17.0645 | F:2,Hard - R:2,Hard |
78.0 -
69.0
66.7 - 63.9 |
74.1% | AIControl |
26 | Marc Marquez #93 - Lister | 00:49.2477 | 16.4087 | 16.3898 | 16.4492 | F:2,Hard - R:2,Hard |
76.9 -
67.1
64.7 - 61.6 |
72.5% | AIControl |
27 | Marc Marquez #93 - Lister | 00:59.0226 | 16.8439 | 21.7029 | 20.4758 | F:2,Hard - R:2,Hard |
75.7 -
65.5
62.7 - 59.6 |
71% | AIControl |
28 | Marc Marquez #93 - Lister | 00:50.3911 | 17.0320 | 16.7297 | 16.6294 | F:2,Hard - R:2,Hard |
74.5 -
63.9
60.4 - 57.3 |
69.4% | AIControl |
29 | Marc Marquez #93 - Lister | 00:49.3593 | 16.5107 | 16.3997 | 16.4489 | F:2,Hard - R:2,Hard |
73.3 -
62.0
58.4 - 54.9 |
67.8% | AIControl |
30 | Marc Marquez #93 - Lister | 00:53.0093 | 16.9312 | 17.9885 | 18.0896 | F:2,Hard - R:2,Hard |
72.2 -
60.0
56.5 - 52.9 |
66.3% | AIControl |
31 | Marc Marquez #93 - Lister | 00:54.6456 | 18.3342 | 18.3120 | 17.9994 | F:2,Hard - R:2,Hard |
71.0 -
58.4
54.9 - 51.0 |
65.1% | AIControl |
32 | Marc Marquez #93 - Lister | 00:55.5793 | 16.6627 | 17.0228 | 21.8938 | F:2,Hard - R:2,Hard |
69.8 -
56.5
52.9 - 48.6 |
63.5% | AIControl |
33 | Marc Marquez #93 - Lister | 01:05.7117 | 21.9106 | 21.8613 | 21.9397 | F:2,Hard - R:2,Hard |
68.2 -
54.9
51.0 - 46.7 |
62.4% | AIControl |
34 | Marc Marquez #93 - Lister | 01:05.6924 | 21.9458 | 21.8152 | 21.9314 | F:2,Hard - R:2,Hard |
67.1 -
52.9
49.0 - 44.7 |
61.6% | AIControl |
35 | Marc Marquez #93 - Lister | 01:05.7061 | 21.9148 | 21.8513 | 21.9399 | F:2,Hard - R:2,Hard |
65.5 -
51.4
47.1 - 42.7 |
60.4% | AIControl |
36 | Marc Marquez #93 - Lister | 01:05.6248 | 21.9106 | 21.8828 | 21.8313 | F:2,Hard - R:2,Hard |
63.9 -
49.4
45.5 - 40.8 |
59.6% | AIControl |
37 | Marc Marquez #93 - Lister | 01:04.7576 | 21.8909 | 21.8718 | 20.9949 | F:2,Hard - R:2,Hard |
62.7 -
47.8
43.5 - 38.8 |
58.4% | AIControl |
38 | Marc Marquez #93 - Lister | 00:49.5645 | 17.2153 | 16.4519 | 15.8972 | F:2,Hard - R:2,Hard |
61.6 -
45.9
41.6 - 36.5 |
56.5% | AIControl |
39 | Marc Marquez #93 - Lister | 00:50.8147 | 16.4958 | 17.1580 | 17.1609 | F:2,Hard - R:2,Hard |
60.4 -
44.3
39.6 - 34.5 |
54.9% | AIControl |
40 | Marc Marquez #93 - Lister | 00:49.1553 | 16.7114 | 16.3789 | 16.0649 | F:2,Hard - R:2,Hard |
59.2 -
42.7
37.6 - 32.2 |
53.3% | AIControl |
41 | Marc Marquez #93 - Lister | 00:49.1772 | 15.9895 | 16.2417 | 16.9460 | F:2,Hard - R:2,Hard |
58.4 -
40.8
35.7 - 30.2 |
51.4% | AIControl |
42 | Marc Marquez #93 - Lister | 00:58.6392 | 21.4619 | 20.1758 | 17.0015 | F:2,Hard - R:2,Hard |
56.9 -
39.2
33.7 - 28.2 |
50.2% | AIControl |
43 | Marc Marquez #93 - Lister | 00:49.3918 | 16.4514 | 16.4194 | 16.5210 | F:2,Hard - R:2,Hard |
56.1 -
37.3
31.8 - 25.9 |
48.2% | AIControl |
44 | Marc Marquez #93 - Lister | 00:49.3347 | 16.4182 | 16.3967 | 16.5198 | F:2,Hard - R:2,Hard |
54.9 -
35.7
29.4 - 23.5 |
46.7% | AIControl |
45 | Marc Marquez #93 - Lister | 00:54.3188 | 17.4890 | 16.6003 | 20.2295 | F:2,Hard - R:2,Hard |
53.7 -
34.1
27.5 - 21.6 |
45.1% | AIControl |
46 | Marc Marquez #93 - Lister | 00:50.8438 | 17.7659 | 16.5515 | 16.5264 | F:2,Hard - R:2,Hard |
52.5 -
32.2
25.5 - 19.2 |
43.1% | AIControl |
47 | Marc Marquez #93 - Lister | 00:49.8630 | 16.8562 | 16.4741 | 16.5327 | F:2,Hard - R:2,Hard |
51.4 -
30.6
23.5 - 17.3 |
41.6% | AIControl |
48 | Marc Marquez #93 - Lister | 00:49.3430 | 16.4209 | 16.3979 | 16.5242 | F:2,Hard - R:2,Hard |
50.2 -
29.0
21.6 - 14.9 |
39.6% | AIControl |
49 (P: 34.6727) | Marc Marquez #93 - Lister | 01:17.4819 | 16.5217 | 16.5444 | 44.4158 | F:2,Hard - R:2,Hard |
99.6 -
99.6
99.6 - 99.6 |
100% | AIControl |
50 | Marc Marquez #93 - Lister | 01:01.5100 | 28.2126 | 16.7871 | 16.5103 | F:2,Hard - R:2,Hard |
98.4 -
97.6
97.6 - 97.3 |
98% | AIControl |
51 | Marc Marquez #93 - Lister | 00:49.1794 | 16.3635 | 16.2944 | 16.5215 | F:2,Hard - R:2,Hard |
97.3 -
96.1
95.3 - 95.3 |
96.5% | AIControl |
52 | Marc Marquez #93 - Lister | 00:55.9792 | 20.6497 | 18.4802 | 16.8494 | F:2,Hard - R:2,Hard |
96.1 -
94.1
93.3 - 92.9 |
94.5% | AIControl |
53 | Marc Marquez #93 - Lister | 00:49.8608 | 16.6704 | 16.4487 | 16.7417 | F:2,Hard - R:2,Hard |
94.9 -
92.5
91.4 - 90.6 |
92.9% | AIControl |
54 | Marc Marquez #93 - Lister | 00:49.6917 | 16.7031 | 16.4597 | 16.5288 | F:2,Hard - R:2,Hard |
93.7 -
90.6
89.4 - 88.6 |
91% | AIControl |
55 | Marc Marquez #93 - Lister | 00:49.4609 | 16.3772 | 16.3750 | 16.7087 | F:2,Hard - R:2,Hard |
92.5 -
89.0
87.5 - 86.3 |
89.4% | AIControl |
56 | Marc Marquez #93 - Lister | 00:52.0732 | 16.6917 | 17.9070 | 17.4746 | F:2,Hard - R:2,Hard |
91.4 -
87.1
85.5 - 83.9 |
87.8% | AIControl |
57 | Marc Marquez #93 - Lister | 00:49.2136 | 16.4619 | 16.3186 | 16.4331 | F:2,Hard - R:2,Hard |
90.2 -
85.5
83.1 - 82.0 |
85.9% | AIControl |
58 | Marc Marquez #93 - Lister | 00:49.8945 | 16.8875 | 16.5278 | 16.4792 | F:2,Hard - R:2,Hard |
89.4 -
83.5
81.2 - 79.6 |
84.3% | AIControl |
59 | Marc Marquez #93 - Lister | 00:49.2795 | 16.3652 | 16.4082 | 16.5061 | F:2,Hard - R:2,Hard |
88.2 -
82.0
79.2 - 77.3 |
82.4% | AIControl |
60 | Marc Marquez #93 - Lister | 00:51.8379 | 16.4089 | 16.4238 | 19.0051 | F:2,Hard - R:2,Hard |
87.1 -
80.4
77.3 - 75.3 |
80.8% | AIControl |
61 | Marc Marquez #93 - Lister | 00:50.3181 | 16.9519 | 16.8875 | 16.4788 | F:2,Hard - R:2,Hard |
85.9 -
78.4
74.9 - 72.9 |
79.2% | AIControl |
62 | Marc Marquez #93 - Lister | 00:49.2207 | 16.3674 | 16.3857 | 16.4675 | F:2,Hard - R:2,Hard |
84.7 -
76.9
72.9 - 70.6 |
77.3% | AIControl |
63 | Marc Marquez #93 - Lister | 00:50.8044 | 17.1206 | 17.0413 | 16.6426 | F:2,Hard - R:2,Hard |
83.5 -
74.9
71.0 - 68.2 |
75.7% | AIControl |
64 | Marc Marquez #93 - Lister | 00:49.2356 | 16.3918 | 16.3855 | 16.4583 | F:2,Hard - R:2,Hard |
82.4 -
73.3
69.0 - 66.3 |
73.7% | AIControl |
Average | 00:57.3627 | 19.6918 | 18.2567 | 19.4142 | |||||
Best possible | 00:47.5203 | 15.8578 | 15.8651 | 15.7974 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Dani Pedrosa #26 - Lister | 00:53.8298 | 20.6131 | 16.7660 | 16.4507 | F:2,Hard - R:2,Hard |
96.1 -
95.7
95.3 - 95.3 |
97.3% | AIControl |
2 | Dani Pedrosa #26 - Lister | 00:48.4947 | 16.1307 | 16.1425 | 16.2215 | F:2,Hard - R:2,Hard |
94.9 -
94.1
93.3 - 92.9 |
95.3% | AIControl |
3 | Dani Pedrosa #26 - Lister | 00:48.8876 | 16.1086 | 16.1365 | 16.6425 | F:2,Hard - R:2,Hard |
94.1 -
92.2
91.4 - 90.6 |
93.7% | AIControl |
4 | Dani Pedrosa #26 - Lister | 01:09.6881 | 23.8215 | 24.3303 | 21.5363 | F:2,Hard - R:2,Hard |
92.5 -
90.2
89.4 - 88.6 |
92.2% | AIControl |
Average | 00:55.2251 | 19.1685 | 18.3438 | 17.7128 | |||||
Best possible | 00:48.4666 | 16.1086 | 16.1365 | 16.2215 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Marc M (AI) | Marc Marquez #93 - Lister | 00:47.8177 | |
Marc M (AI) | Marc Marquez #93 - Lister | 00:48.0873 | 0.2696 |
Takaaki N (AI) | Dani Pedrosa #26 - Lister | 00:48.4947 | 0.677 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:48.8509 | 1.0332 |
Takaaki N (AI) | Dani Pedrosa #26 - Lister | 00:48.8876 | 1.0699 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.1553 | 1.3376 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.1772 | 1.3595 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.1794 | 1.3617 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.2136 | 1.3959 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.2207 | 1.403 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.2356 | 1.4179 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.2477 | 1.43 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.2795 | 1.4618 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.2975 | 1.4798 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.3347 | 1.517 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.3430 | 1.5253 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.3593 | 1.5416 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.3918 | 1.5741 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.4227 | 1.605 |
Marc M (AI) | Marc Marquez #93 - Lister | 00:49.4288 | 1.6111 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Marc M (AI) | Marc Marquez #93 - Lister | 00:47.8177 | |
Takaaki N (AI) | Dani Pedrosa #26 - Lister | 00:48.4947 | 0.677 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Marc M (AI) | Marc Marquez #93 - Lister | 87.37% <> 6.0411 |
Takaaki N (AI) | Dani Pedrosa #26 - Lister | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Marc M (AI) | 15.8578 | - |
Takaaki N (AI) | 16.1086 | 0.2508 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Marc M (AI) | 15.8651 | - |
Takaaki N (AI) | 16.1365 | 0.2714 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Marc M (AI) | 15.7974 | - |
Takaaki N (AI) | 16.2215 | 0.4241 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Mazda |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Lucas S (AI) |
Led most laps | Lucas S (AI) |
Best lap | Lucas S (AI) (00:49.6133) |
Max minutes | 60 |
Lasted laps | 4 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Aids |
---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 19 | 88 | Lucas S (AI) | 88 - Lucas Schauer - Mazda | 4 | Accident | 00:49.6133 | 91.82% | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | 88 - Lucas Schauer - Mazda | 00:55.8169 | 19.7381 | 18.0327 | 18.0461 | F:0,Slicks - R:0,Slicks |
98.8 -
98.8
99.2 - 99.2 |
92.9% | AIControl |
2 | 88 - Lucas Schauer - Mazda | 00:51.4331 | 18.0377 | 16.8214 | 16.5740 | F:0,Slicks - R:0,Slicks |
98.4 -
98.4
98.8 - 98.8 |
87.1% | AIControl |
3 | 88 - Lucas Schauer - Mazda | 00:49.6133 | 16.5397 | 16.4992 | 16.5744 | F:0,Slicks - R:0,Slicks |
98.4 -
98.0
98.8 - 98.4 |
80.4% | AIControl |
4 | 88 - Lucas Schauer - Mazda | 00:55.9084 | 18.0665 | 20.9471 | 16.8948 | F:0,Slicks - R:0,Slicks |
98.0 -
97.3
98.4 - 98.0 |
74.5% | AIControl |
Average | 00:53.1929 | 18.0955 | 18.0751 | 17.0223 | |||||
Best possible | 00:49.6129 | 16.5397 | 16.4992 | 16.5740 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Lucas S (AI) | 88 - Lucas Schauer - Mazda | 00:49.6133 | |
Lucas S (AI) | 88 - Lucas Schauer - Mazda | 00:51.4331 | 1.8198 |
Lucas S (AI) | 88 - Lucas Schauer - Mazda | 00:55.8169 | 6.2036 |
Lucas S (AI) | 88 - Lucas Schauer - Mazda | 00:55.9084 | 6.2951 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Lucas S (AI) | 88 - Lucas Schauer - Mazda | 00:49.6133 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Lucas S (AI) | 88 - Lucas Schauer - Mazda | 91.82% <> 4.0575 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Lucas S (AI) | 16.5397 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Lucas S (AI) | 16.4992 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Lucas S (AI) | 16.5740 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Mclaren 650S GT3 |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Jon F (AI) |
Led most laps | Jon F (AI) |
Best lap | Jon F (AI) (00:56.7102) |
Max minutes | 60 |
Lasted laps | 54 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 41 | 9 | Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 54 | 01:01:10.6167 | 00:56.7102 | 95.10% | 0 | 3 | AIControl |
2 | ▴ 29 | 55 | Rob B (AI) | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 4 | Accident | 00:57.3990 | 99.71% | 0 | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:06.2760 | 22.4001 | 21.9013 | 21.9745 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
98.4
97.6 - 97.3 |
97.3% | AIControl |
2 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:02.6090 | 21.9405 | 20.7377 | 19.9309 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
97.6
96.5 - 96.1 |
95.3% | AIControl |
3 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.4265 | 19.8174 | 19.8086 | 19.8005 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
96.9
95.3 - 94.9 |
93.7% | AIControl |
4 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.4947 | 19.8028 | 19.8037 | 19.8882 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
96.5
94.5 - 93.7 |
91.8% | AIControl |
5 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:48.2960 | 35.8107 | 29.6857 | 42.7996 | F:0,Dry Medium - R:0,Dry Medium |
96.1 -
95.3
92.9 - 92.5 |
90.6% | AIControl |
6 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 02:06.9413 | 42.8978 | 42.9343 | 41.1092 | F:0,Dry Medium - R:0,Dry Medium |
94.9 -
94.5
91.4 - 91.0 |
89.4% | AIControl |
7 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:00.8266 | 21.6576 | 19.2559 | 19.9131 | F:0,Dry Medium - R:0,Dry Medium |
94.5 -
93.7
90.2 - 89.8 |
87.5% | AIControl |
8 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 02:19.4521 | 44.0396 | 48.1279 | 47.2846 | F:0,Dry Medium - R:0,Dry Medium |
93.3 -
92.9
88.6 - 88.2 |
86.7% | AIControl |
9 (P: 58.4962) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:07.2380 | 21.6548 | 19.2325 | 26.3507 | F:0,Dry Medium - R:0,Dry Medium |
92.9 -
92.2
87.5 - 87.1 |
84.7% | AIControl |
10 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:54.9221 | 75.0072 | 20.0469 | 19.8679 | F:0,Dry Medium - R:0,Dry Medium |
99.6 -
99.2
98.8 - 98.8 |
98% | AIControl |
11 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.1089 | 19.8451 | 19.1893 | 19.0746 | F:0,Dry Medium - R:0,Dry Medium |
99.2 -
98.8
98.0 - 97.6 |
96.1% | AIControl |
12 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:56.8344 | 18.9517 | 18.9056 | 18.9771 | F:0,Dry Medium - R:0,Dry Medium |
98.8 -
98.0
96.9 - 96.5 |
94.5% | AIControl |
13 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:56.8175 | 18.9689 | 18.8995 | 18.9491 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
97.3
96.1 - 95.3 |
92.9% | AIControl |
14 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:56.7102 | 18.8826 | 18.9335 | 18.8942 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
96.5
94.9 - 94.1 |
91% | AIControl |
15 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:56.8408 | 18.9034 | 18.9467 | 18.9907 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
95.7
94.1 - 92.9 |
89.4% | AIControl |
16 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:02.5416 | 18.9578 | 21.4918 | 22.0920 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
95.3
93.3 - 91.8 |
87.8% | AIControl |
17 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:05.8306 | 21.6978 | 21.9113 | 22.2216 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
94.5
92.2 - 90.6 |
86.3% | AIControl |
18 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:05.3949 | 21.7799 | 21.7428 | 21.8722 | F:0,Dry Medium - R:0,Dry Medium |
96.1 -
93.7
91.4 - 89.4 |
85.1% | AIControl |
19 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:00.4009 | 22.0228 | 19.5854 | 18.7926 | F:0,Dry Medium - R:0,Dry Medium |
95.7 -
92.9
90.2 - 88.2 |
83.1% | AIControl |
20 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.5266 | 19.7288 | 19.8193 | 19.9785 | F:0,Dry Medium - R:0,Dry Medium |
95.3 -
92.2
89.0 - 86.7 |
81.2% | AIControl |
21 (P: 61.1056) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:27.6133 | 41.1051 | 20.1067 | 26.4015 | F:0,Dry Medium - R:0,Dry Medium |
93.7 -
90.6
87.1 - 84.3 |
79.2% | AIControl |
22 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:58.1492 | 77.5658 | 20.8706 | 19.7128 | F:0,Dry Medium - R:0,Dry Medium |
99.6 -
99.2
98.8 - 98.8 |
98% | AIControl |
23 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.3704 | 19.7533 | 19.7274 | 19.8896 | F:0,Dry Medium - R:0,Dry Medium |
99.2 -
98.8
98.0 - 97.6 |
96.1% | AIControl |
24 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.5851 | 19.8906 | 19.8132 | 19.8812 | F:0,Dry Medium - R:0,Dry Medium |
98.8 -
98.0
96.9 - 96.5 |
94.1% | AIControl |
25 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.6333 | 19.8961 | 19.8282 | 19.9089 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
97.3
95.7 - 94.9 |
92.2% | AIControl |
26 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.0566 | 19.6873 | 19.6610 | 19.7084 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
96.5
94.9 - 94.1 |
90.6% | AIControl |
27 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.2738 | 19.5804 | 19.7993 | 19.8940 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
96.1
93.7 - 92.5 |
88.6% | AIControl |
28 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.6206 | 19.8931 | 19.8367 | 19.8909 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
95.3
92.5 - 91.4 |
86.7% | AIControl |
29 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.6228 | 19.8994 | 19.8340 | 19.8894 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
94.5
91.8 - 90.2 |
84.7% | AIControl |
30 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.6243 | 19.9004 | 19.8298 | 19.8940 | F:0,Dry Medium - R:0,Dry Medium |
96.1 -
94.1
90.6 - 89.0 |
82.7% | AIControl |
31 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.4070 | 19.8931 | 19.7476 | 19.7664 | F:0,Dry Medium - R:0,Dry Medium |
95.7 -
93.3
89.4 - 87.8 |
80.8% | AIControl |
32 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:01.6252 | 19.8506 | 20.2134 | 21.5613 | F:0,Dry Medium - R:0,Dry Medium |
95.3 -
92.5
88.6 - 86.7 |
79.2% | AIControl |
33 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.2837 | 19.8872 | 19.8562 | 19.5403 | F:0,Dry Medium - R:0,Dry Medium |
94.9 -
92.2
87.5 - 85.5 |
77.3% | AIControl |
34 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.4104 | 19.5127 | 19.4377 | 19.4600 | F:0,Dry Medium - R:0,Dry Medium |
94.5 -
91.4
86.7 - 84.3 |
75.3% | AIControl |
35 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.1716 | 19.4106 | 19.3398 | 19.4211 | F:0,Dry Medium - R:0,Dry Medium |
94.1 -
90.6
85.5 - 83.1 |
73.3% | AIControl |
36 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.4480 | 19.4805 | 19.4517 | 19.5159 | F:0,Dry Medium - R:0,Dry Medium |
93.7 -
90.2
84.7 - 82.0 |
71.8% | AIControl |
37 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.2878 | 19.4861 | 19.3765 | 19.4253 | F:0,Dry Medium - R:0,Dry Medium |
93.3 -
89.4
83.5 - 80.4 |
69.8% | AIControl |
38 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.2378 | 19.3857 | 19.3916 | 19.4604 | F:0,Dry Medium - R:0,Dry Medium |
92.9 -
88.6
82.4 - 79.2 |
67.8% | AIControl |
39 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.7727 | 19.8313 | 19.4536 | 19.4878 | F:0,Dry Medium - R:0,Dry Medium |
92.5 -
88.2
81.6 - 78.0 |
65.9% | AIControl |
40 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.3748 | 19.4436 | 19.5015 | 19.4297 | F:0,Dry Medium - R:0,Dry Medium |
92.2 -
87.5
80.4 - 76.9 |
63.9% | AIControl |
41 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.3618 | 19.4082 | 19.4280 | 19.5256 | F:0,Dry Medium - R:0,Dry Medium |
91.8 -
86.7
79.6 - 75.7 |
62% | AIControl |
42 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.2214 | 19.5693 | 20.0127 | 19.6394 | F:0,Dry Medium - R:0,Dry Medium |
91.4 -
86.3
78.4 - 74.5 |
60.4% | AIControl |
43 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:57.9702 | 19.2520 | 19.3015 | 19.4167 | F:0,Dry Medium - R:0,Dry Medium |
91.0 -
85.5
77.6 - 73.3 |
58.4% | AIControl |
44 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.4775 | 19.7847 | 19.1716 | 19.5212 | F:0,Dry Medium - R:0,Dry Medium |
90.6 -
85.1
76.5 - 72.2 |
56.5% | AIControl |
45 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:57.7327 | 19.4084 | 19.1572 | 19.1670 | F:0,Dry Medium - R:0,Dry Medium |
90.2 -
84.3
75.7 - 71.4 |
54.5% | AIControl |
46 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.2783 | 19.6062 | 19.7937 | 19.8784 | F:0,Dry Medium - R:0,Dry Medium |
89.8 -
83.5
74.5 - 70.2 |
52.5% | AIControl |
47 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.5400 | 19.8926 | 19.7761 | 19.8713 | F:0,Dry Medium - R:0,Dry Medium |
89.4 -
83.1
73.7 - 69.0 |
50.6% | AIControl |
48 (P: 97.581) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:05.3425 | 19.8889 | 19.1357 | 26.3179 | F:0,Dry Medium - R:0,Dry Medium |
88.6 -
82.4
72.5 - 67.5 |
49% | AIControl |
49 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 02:33.6316 | 114.1248 | 20.0352 | 19.4717 | F:0,Dry Medium - R:0,Dry Medium |
99.6 -
99.2
98.8 - 98.8 |
98% | AIControl |
50 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.4114 | 19.7778 | 19.7388 | 19.8948 | F:0,Dry Medium - R:0,Dry Medium |
99.2 -
98.8
98.0 - 97.6 |
96.1% | AIControl |
51 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.9094 | 19.8914 | 19.8113 | 19.2068 | F:0,Dry Medium - R:0,Dry Medium |
98.8 -
98.0
96.9 - 96.5 |
94.1% | AIControl |
52 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.9209 | 20.2363 | 19.8340 | 19.8506 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
97.3
95.7 - 94.9 |
92.2% | AIControl |
53 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 01:00.0056 | 19.8542 | 19.7493 | 20.4021 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
96.5
94.9 - 93.7 |
90.6% | AIControl |
54 | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:59.6814 | 19.9807 | 19.8481 | 19.8525 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
96.1
93.7 - 92.5 |
88.6% | AIControl |
Average | 01:07.8249 | 25.3481 | 20.9413 | 21.5355 | |||||
Best possible | 00:56.5747 | 18.8826 | 18.8995 | 18.7926 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 00:58.6175 | 20.5610 | 19.1782 | 18.8782 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
98.4
97.3 - 97.3 |
96.9% | AIControl |
2 | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 00:57.6061 | 19.2250 | 19.1330 | 19.2480 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
97.6
96.5 - 96.1 |
94.9% | AIControl |
3 | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 00:57.3990 | 19.0301 | 19.3481 | 19.0208 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
97.3
95.3 - 94.9 |
92.9% | AIControl |
4 | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 00:57.5289 | 19.2593 | 19.1024 | 19.1672 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
96.5
94.5 - 93.7 |
91% | AIControl |
Average | 00:57.7879 | 19.5189 | 19.1904 | 19.0786 | |||||
Best possible | 00:57.0107 | 19.0301 | 19.1024 | 18.8782 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:56.7102 | |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:56.8175 | 0.1073 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:56.8344 | 0.1242 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:56.8408 | 0.1306 |
Rob B (AI) | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 00:57.3990 | 0.6888 |
Rob B (AI) | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 00:57.5289 | 0.8187 |
Rob B (AI) | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 00:57.6061 | 0.8959 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:57.7327 | 1.0225 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:57.9702 | 1.26 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.1089 | 1.3987 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.1716 | 1.4614 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.2378 | 1.5276 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.2878 | 1.5776 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.3618 | 1.6516 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.3748 | 1.6646 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.4104 | 1.7002 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.4480 | 1.7378 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.4775 | 1.7673 |
Rob B (AI) | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 00:58.6175 | 1.9073 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:58.7727 | 2.0625 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 00:56.7102 | |
Rob B (AI) | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 00:57.3990 | 0.6888 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Rob B (AI) | #55 - Attempo Racing - Blancpain Endurance Series 2015 (Mclaren 650S GT3) | 99.71% <> 0.1685 |
Jon F (AI) | #09 - K-Pax Racing - Pirelli World Challenge GT 2015 (Mclaren 650S GT3) | 95.10% <> 2.7775 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Jon F (AI) | 18.8826 | - |
Rob B (AI) | 19.0301 | 0.1475 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Jon F (AI) | 18.8995 | - |
Rob B (AI) | 19.1024 | 0.2029 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Jon F (AI) | 18.7926 | - |
Rob B (AI) | 18.8782 | 0.0856 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Mercedes AMG GT3 |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Gary P (AI) |
Led most laps | Gary P (AI) |
Best lap | Miguel T (AI) (00:54.1677) |
Max minutes | 60 |
Lasted laps | 56 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 26 | 86 | Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 56 | 01:00:51.1682 | 00:54.8661 | 93.04% | 0 | 3 | AIControl |
2 | ▴ 30 | 33 | Jeroen B (AI) | #33 - Riley Motorsports Team AMG - IMSA weathertech sportscar cham (Mercedes AMG GT3) | 7 | Engine | 00:57.4881 | 99.95% | 0 | 1 | AIControl |
3 | ▴ 19 | 56 | Miguel T (AI) | #56 - Black Falcon Motorsport - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 4 | Accident | 00:54.1677 | 94.44% | 0 | 0 | AIControl |
4 | ▴ 30 | 7 | Manuel M (AI) | #7 - Black Falcon Motorsport - VLN 24H 2016 (Mercedes AMG GT3) | 4 | Engine | 00:57.3692 | 99.44% | 0 | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:58.8104 | 20.7194 | 18.9118 | 19.1792 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
98.0
97.6 - 97.6 |
97.3% | AIControl |
2 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.5145 | 19.1856 | 19.1534 | 19.1755 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
97.3
96.9 - 96.9 |
96.1% | AIControl |
3 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.5187 | 19.1880 | 19.1501 | 19.1806 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
96.5
96.1 - 95.7 |
94.9% | AIControl |
4 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.4884 | 19.1795 | 19.1407 | 19.1682 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
95.3
95.3 - 94.9 |
93.7% | AIControl |
5 (P: 60.1996) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:40.3503 | 53.4752 | 20.8726 | 26.0025 | F:0,Dry Medium - R:0,Dry Medium |
94.9 -
94.5
93.7 - 93.7 |
92.2% | AIControl |
6 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 02:42.4365 | 75.4919 | 46.6677 | 40.2769 | F:0,Dry Medium - R:0,Dry Medium |
98.8 -
98.8
98.8 - 98.8 |
98.8% | AIControl |
7 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:00.1507 | 21.0756 | 19.1777 | 19.8974 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
98.0
97.6 - 97.6 |
97.3% | AIControl |
8 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 02:11.8247 | 36.7635 | 48.0302 | 47.0311 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
96.9
96.5 - 96.1 |
96.5% | AIControl |
9 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:06.1663 | 23.8508 | 21.0903 | 21.2252 | F:0,Dry Medium - R:0,Dry Medium |
96.1 -
96.1
95.3 - 95.3 |
94.5% | AIControl |
10 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.3119 | 19.2949 | 18.9654 | 19.0516 | F:0,Dry Medium - R:0,Dry Medium |
95.7 -
95.3
94.5 - 94.1 |
92.9% | AIControl |
11 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.4122 | 18.9580 | 18.9145 | 19.5397 | F:0,Dry Medium - R:0,Dry Medium |
94.9 -
94.5
93.7 - 92.9 |
91.4% | AIControl |
12 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.9052 | 19.5208 | 19.3097 | 19.0747 | F:0,Dry Medium - R:0,Dry Medium |
94.5 -
93.3
92.5 - 91.8 |
89.4% | AIControl |
13 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.8339 | 18.9506 | 18.9078 | 18.9755 | F:0,Dry Medium - R:0,Dry Medium |
93.7 -
92.5
91.8 - 91.0 |
87.8% | AIControl |
14 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.8175 | 18.9686 | 18.9010 | 18.9479 | F:0,Dry Medium - R:0,Dry Medium |
93.3 -
91.8
91.0 - 89.8 |
85.9% | AIControl |
15 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.6885 | 18.8405 | 18.9766 | 18.8715 | F:0,Dry Medium - R:0,Dry Medium |
92.9 -
91.0
89.8 - 88.6 |
84.3% | AIControl |
16 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.8623 | 18.9255 | 18.9487 | 18.9880 | F:0,Dry Medium - R:0,Dry Medium |
92.2 -
90.2
89.0 - 87.8 |
82.7% | AIControl |
17 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:02.3223 | 18.9590 | 21.3796 | 21.9836 | F:0,Dry Medium - R:0,Dry Medium |
91.8 -
89.4
88.2 - 86.7 |
81.2% | AIControl |
18 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:05.9119 | 21.8770 | 21.8928 | 22.1421 | F:0,Dry Medium - R:0,Dry Medium |
91.0 -
88.6
87.5 - 85.5 |
80% | AIControl |
19 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:05.8457 | 21.8545 | 21.8063 | 22.1849 | F:0,Dry Medium - R:0,Dry Medium |
90.2 -
87.5
86.7 - 84.7 |
78.8% | AIControl |
20 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:05.0349 | 21.7798 | 21.8066 | 21.4485 | F:0,Dry Medium - R:0,Dry Medium |
89.8 -
86.7
85.5 - 83.5 |
77.6% | AIControl |
21 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:05.5878 | 21.9821 | 21.7996 | 21.8062 | F:0,Dry Medium - R:0,Dry Medium |
89.0 -
85.9
84.7 - 82.7 |
76.5% | AIControl |
22 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:07.8735 | 23.9869 | 21.8906 | 21.9960 | F:0,Dry Medium - R:0,Dry Medium |
88.2 -
85.1
83.9 - 81.6 |
74.9% | AIControl |
23 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:58.2860 | 19.9011 | 19.1865 | 19.1984 | F:0,Dry Medium - R:0,Dry Medium |
87.8 -
84.3
82.7 - 80.4 |
73.3% | AIControl |
24 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.9800 | 19.3356 | 19.2814 | 19.3630 | F:0,Dry Medium - R:0,Dry Medium |
87.5 -
83.5
82.0 - 79.2 |
71.4% | AIControl |
25 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.4160 | 19.5344 | 18.5044 | 18.3772 | F:0,Dry Medium - R:0,Dry Medium |
86.7 -
82.7
81.2 - 78.4 |
69.8% | AIControl |
26 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.8661 | 18.4188 | 18.2556 | 18.1917 | F:0,Dry Medium - R:0,Dry Medium |
86.3 -
82.0
80.4 - 77.3 |
67.8% | AIControl |
27 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.0851 | 18.6680 | 18.1259 | 18.2913 | F:0,Dry Medium - R:0,Dry Medium |
85.9 -
80.8
79.2 - 76.1 |
66.3% | AIControl |
28 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.8998 | 18.3267 | 18.3138 | 18.2593 | F:0,Dry Medium - R:0,Dry Medium |
85.1 -
80.0
78.4 - 75.3 |
64.3% | AIControl |
29 (P: 67.578) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:03.7057 | 18.4779 | 18.4155 | 26.8123 | F:0,Dry Medium - R:0,Dry Medium |
84.7 -
79.2
77.6 - 74.1 |
62.7% | AIControl |
30 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 02:03.2659 | 82.0605 | 19.7092 | 21.4961 | F:0,Dry Medium - R:0,Dry Medium |
99.2 -
99.2
99.2 - 98.8 |
98.4% | AIControl |
31 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:05.7063 | 21.9158 | 21.9221 | 21.8684 | F:0,Dry Medium - R:0,Dry Medium |
98.8 -
98.4
98.0 - 98.0 |
97.3% | AIControl |
32 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:05.6238 | 21.9363 | 21.8572 | 21.8303 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
97.3
97.3 - 96.9 |
96.1% | AIControl |
33 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:05.0278 | 21.9241 | 21.8401 | 21.2637 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
96.5
96.5 - 96.1 |
94.9% | AIControl |
34 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.7524 | 19.2483 | 19.2051 | 19.2991 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
95.7
95.7 - 94.9 |
93.3% | AIControl |
35 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.9160 | 19.2827 | 19.2788 | 19.3545 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
94.9
94.5 - 93.7 |
91.4% | AIControl |
36 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.9658 | 19.3303 | 19.2849 | 19.3506 | F:0,Dry Medium - R:0,Dry Medium |
95.7 -
94.1
93.7 - 92.5 |
89.8% | AIControl |
37 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.9731 | 19.3379 | 19.2837 | 19.3516 | F:0,Dry Medium - R:0,Dry Medium |
95.3 -
93.3
92.5 - 91.4 |
87.8% | AIControl |
38 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.8589 | 19.3286 | 19.2351 | 19.2952 | F:0,Dry Medium - R:0,Dry Medium |
94.5 -
92.5
91.8 - 90.6 |
86.3% | AIControl |
39 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:57.9241 | 19.3259 | 19.2808 | 19.3174 | F:0,Dry Medium - R:0,Dry Medium |
94.1 -
91.4
91.0 - 89.4 |
84.3% | AIControl |
40 (P: 60.298) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:17.5337 | 31.9280 | 19.6316 | 25.9741 | F:0,Dry Medium - R:0,Dry Medium |
92.9 -
89.8
89.4 - 87.5 |
82.7% | AIControl |
41 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 01:53.4253 | 75.6187 | 19.3394 | 18.4673 | F:0,Dry Medium - R:0,Dry Medium |
99.6 -
99.2
99.2 - 98.8 |
98% | AIControl |
42 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.7112 | 18.6514 | 18.4429 | 18.6169 | F:0,Dry Medium - R:0,Dry Medium |
98.8 -
98.4
98.0 - 98.0 |
96.5% | AIControl |
43 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.5054 | 18.5356 | 18.4836 | 18.4861 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
97.6
97.3 - 96.9 |
94.9% | AIControl |
44 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.4385 | 18.5725 | 18.4263 | 18.4397 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
96.5
96.5 - 95.7 |
92.9% | AIControl |
45 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.4653 | 19.0920 | 18.8530 | 18.5203 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
95.7
95.7 - 94.5 |
91.4% | AIControl |
46 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.5154 | 18.3208 | 18.5967 | 18.5979 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
94.9
94.5 - 93.7 |
89.4% | AIControl |
47 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.2339 | 18.3264 | 18.4172 | 18.4902 | F:0,Dry Medium - R:0,Dry Medium |
96.1 -
94.1
93.7 - 92.5 |
87.8% | AIControl |
48 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.2251 | 18.2080 | 18.3606 | 18.6565 | F:0,Dry Medium - R:0,Dry Medium |
95.7 -
93.3
92.9 - 91.4 |
86.3% | AIControl |
49 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.9795 | 18.1990 | 18.1836 | 18.5969 | F:0,Dry Medium - R:0,Dry Medium |
95.3 -
92.5
92.2 - 90.6 |
84.3% | AIControl |
50 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.9219 | 18.2749 | 18.0762 | 18.5708 | F:0,Dry Medium - R:0,Dry Medium |
94.5 -
91.8
91.4 - 89.4 |
82.7% | AIControl |
51 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.9343 | 18.3054 | 18.1104 | 18.5186 | F:0,Dry Medium - R:0,Dry Medium |
94.1 -
91.0
90.2 - 88.2 |
80.8% | AIControl |
52 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.0107 | 18.3699 | 18.1516 | 18.4893 | F:0,Dry Medium - R:0,Dry Medium |
93.7 -
90.2
89.4 - 87.5 |
79.2% | AIControl |
53 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:59.4031 | 18.6328 | 19.5544 | 21.2158 | F:0,Dry Medium - R:0,Dry Medium |
92.9 -
89.0
88.6 - 86.3 |
77.6% | AIControl |
54 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:58.9919 | 21.4832 | 19.1135 | 18.3953 | F:0,Dry Medium - R:0,Dry Medium |
92.5 -
88.2
87.8 - 85.1 |
76.1% | AIControl |
55 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.4609 | 18.9099 | 18.4707 | 19.0803 | F:0,Dry Medium - R:0,Dry Medium |
91.8 -
87.5
87.1 - 84.3 |
74.1% | AIControl |
56 | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.7915 | 18.9299 | 18.9980 | 18.8635 | F:0,Dry Medium - R:0,Dry Medium |
91.4 -
86.7
85.9 - 83.1 |
72.5% | AIControl |
Average | 01:05.0798 | 23.8846 | 20.4265 | 20.7687 | |||||
Best possible | 00:54.4669 | 18.1990 | 18.0762 | 18.1917 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #33 - Riley Motorsports Team AMG - IMSA weathertech sportscar cham (Mercedes AMG GT3) | 00:58.4189 | 20.1653 | 19.0727 | 19.1809 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
98.0
97.6 - 97.6 |
97.6% | AIControl |
2 | #33 - Riley Motorsports Team AMG - IMSA weathertech sportscar cham (Mercedes AMG GT3) | 00:57.5147 | 19.1859 | 19.1533 | 19.1756 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
97.3
96.9 - 96.9 |
96.1% | AIControl |
3 | #33 - Riley Motorsports Team AMG - IMSA weathertech sportscar cham (Mercedes AMG GT3) | 00:57.5188 | 19.1884 | 19.1495 | 19.1809 | F:0,Dry Medium - R:0,Dry Medium |
96.9 -
96.5
96.1 - 95.7 |
94.9% | AIControl |
4 | #33 - Riley Motorsports Team AMG - IMSA weathertech sportscar cham (Mercedes AMG GT3) | 00:57.4881 | 19.1787 | 19.1414 | 19.1679 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
95.7
95.3 - 94.9 |
93.3% | AIControl |
5 (P: 72.4795) | #33 - Riley Motorsports Team AMG - IMSA weathertech sportscar cham (Mercedes AMG GT3) | 02:18.2629 | 92.7403 | 19.7430 | 25.7796 | F:0,Dry Medium - R:0,Dry Medium |
94.9 -
94.5
92.9 - 93.3 |
91.4% | AIControl |
6 | #33 - Riley Motorsports Team AMG - IMSA weathertech sportscar cham (Mercedes AMG GT3) | 02:23.4190 | 98.7062 | 21.2247 | 23.4880 | F:0,Dry Medium - R:0,Dry Medium |
99.2 -
98.8
98.8 - 98.4 |
98.4% | AIControl |
7 (P: 5.955) | #33 - Riley Motorsports Team AMG - IMSA weathertech sportscar cham (Mercedes AMG GT3) | 01:06.5390 | 21.3467 | 19.1986 | 25.9937 | F:0,Dry Medium - R:0,Dry Medium |
98.4 -
98.0
98.0 - 97.6 |
96.5% | AIControl |
Average | 01:22.7373 | 41.5016 | 19.5262 | 21.7095 | |||||
Best possible | 00:57.4193 | 19.1787 | 19.0727 | 19.1679 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #56 - Black Falcon Motorsport - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.9471 | 20.3353 | 18.6369 | 17.9750 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
98.0
97.6 - 97.6 |
97.3% | AIControl |
2 | #56 - Black Falcon Motorsport - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.1677 | 17.9171 | 18.1166 | 18.1340 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
97.3
96.9 - 96.5 |
95.7% | AIControl |
3 | #56 - Black Falcon Motorsport - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.3658 | 18.1466 | 18.0862 | 18.1330 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
96.1
96.1 - 95.3 |
94.1% | AIControl |
4 | #56 - Black Falcon Motorsport - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:59.9970 | 18.3335 | 18.3975 | 23.2660 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
95.3
95.3 - 94.5 |
92.9% | AIControl |
Average | 00:56.3694 | 18.6831 | 18.3093 | 19.3770 | |||||
Best possible | 00:53.9783 | 17.9171 | 18.0862 | 17.9750 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #7 - Black Falcon Motorsport - VLN 24H 2016 (Mercedes AMG GT3) | 00:57.3692 | 20.2168 | 18.5768 | 18.5757 | F:0,Dry Medium - R:0,Dry Medium |
98.0 -
98.0
97.6 - 97.6 |
97.3% | AIControl |
2 | #7 - Black Falcon Motorsport - VLN 24H 2016 (Mercedes AMG GT3) | 00:57.5685 | 19.0615 | 19.2390 | 19.2681 | F:0,Dry Medium - R:0,Dry Medium |
97.6 -
97.3
96.9 - 96.5 |
95.7% | AIControl |
3 | #7 - Black Falcon Motorsport - VLN 24H 2016 (Mercedes AMG GT3) | 00:57.7582 | 19.2333 | 19.2572 | 19.2677 | F:0,Dry Medium - R:0,Dry Medium |
97.3 -
96.5
96.1 - 95.3 |
93.7% | AIControl |
4 | #7 - Black Falcon Motorsport - VLN 24H 2016 (Mercedes AMG GT3) | 00:57.7508 | 19.2302 | 19.2563 | 19.2643 | F:0,Dry Medium - R:0,Dry Medium |
96.5 -
95.7
94.9 - 94.5 |
92.2% | AIControl |
Average | 00:57.6118 | 19.4355 | 19.0823 | 19.0940 | |||||
Best possible | 00:56.2140 | 19.0615 | 18.5768 | 18.5757 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Miguel T (AI) | #56 - Black Falcon Motorsport - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.1677 | |
Miguel T (AI) | #56 - Black Falcon Motorsport - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.3658 | 0.1981 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.8661 | 0.6984 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.8998 | 0.7321 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.9219 | 0.7542 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.9343 | 0.7666 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.9795 | 0.8118 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.0107 | 0.843 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.0851 | 0.9174 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.2251 | 1.0574 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.2339 | 1.0662 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.4385 | 1.2708 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.5054 | 1.3377 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.5154 | 1.3477 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:55.7112 | 1.5435 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.4160 | 2.2483 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.4609 | 2.2932 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.4653 | 2.2976 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.6885 | 2.5208 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:56.7915 | 2.6238 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Miguel T (AI) | #56 - Black Falcon Motorsport - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.1677 | |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 00:54.8661 | 0.6984 |
Manuel M (AI) | #7 - Black Falcon Motorsport - VLN 24H 2016 (Mercedes AMG GT3) | 00:57.3692 | 3.2015 |
Jeroen B (AI) | #33 - Riley Motorsports Team AMG - IMSA weathertech sportscar cham (Mercedes AMG GT3) | 00:57.4881 | 3.3204 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Jeroen B (AI) | #33 - Riley Motorsports Team AMG - IMSA weathertech sportscar cham (Mercedes AMG GT3) | 99.95% <> 0.0286 |
Manuel M (AI) | #7 - Black Falcon Motorsport - VLN 24H 2016 (Mercedes AMG GT3) | 99.44% <> 0.3233 |
Miguel T (AI) | #56 - Black Falcon Motorsport - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 94.44% <> 3.0137 |
Gary P (AI) | #86 - AMG - Team HTP Motorsport (SPA24H) - Blancpain Endurance Series 2016 (Mercedes AMG GT3) | 93.04% <> 3.8201 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Miguel T (AI) | 17.9171 | - |
Gary P (AI) | 18.1990 | 0.2819 |
Manuel M (AI) | 19.0615 | 1.1444 |
Jeroen B (AI) | 19.1787 | 1.2616 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Gary P (AI) | 18.0762 | - |
Miguel T (AI) | 18.0862 | 0.0100 |
Manuel M (AI) | 18.5768 | 0.5006 |
Jeroen B (AI) | 19.0727 | 0.9965 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Miguel T (AI) | 17.9750 | - |
Gary P (AI) | 18.1917 | 0.2167 |
Manuel M (AI) | 18.5757 | 0.6007 |
Jeroen B (AI) | 19.1679 | 1.1929 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Mitsubishi Lancer |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | James T (AI) |
Led most laps | James T (AI) |
Best lap | James T (AI) (01:05.6963) |
Max minutes | 60 |
Lasted laps | 3 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 40 | 3 | James T (AI) | Mitsubishi Pro's Racing #3 James Thompson - Mitsubishi Lancer | 3 | Engine | 01:05.6963 | - | 0 | 1 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Mitsubishi Pro's Racing #3 James Thompson - Mitsubishi Lancer | 01:06.3722 | 22.5944 | 21.8591 | 21.9187 | F:2,Medium - R:2,Medium |
97.6 -
97.3
97.6 - 97.6 |
97.6% | AIControl |
2 | Mitsubishi Pro's Racing #3 James Thompson - Mitsubishi Lancer | 01:05.6963 | 21.9725 | 21.8636 | 21.8602 | F:2,Medium - R:2,Medium |
96.9 -
96.5
96.9 - 96.5 |
96.5% | AIControl |
3 (P: 6.1707) | Mitsubishi Pro's Racing #3 James Thompson - Mitsubishi Lancer | 01:11.7911 | 21.9631 | 21.7679 | 28.0602 | F:2,Medium - R:2,Medium |
95.7 -
94.9
95.7 - 95.3 |
95.7% | AIControl |
Average | 01:07.9533 | 22.1767 | 21.8302 | 23.9464 | |||||
Best possible | 01:05.5912 | 21.9631 | 21.7679 | 21.8602 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
James T (AI) | Mitsubishi Pro's Racing #3 James Thompson - Mitsubishi Lancer | 01:05.6963 | |
James T (AI) | Mitsubishi Pro's Racing #3 James Thompson - Mitsubishi Lancer | 01:06.3722 | 0.6759 |
James T (AI) | Mitsubishi Pro's Racing #3 James Thompson - Mitsubishi Lancer | 01:11.7911 | 6.0948 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
James T (AI) | Mitsubishi Pro's Racing #3 James Thompson - Mitsubishi Lancer | 01:05.6963 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
James T (AI) | Mitsubishi Pro's Racing #3 James Thompson - Mitsubishi Lancer | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
James T (AI) | 21.9631 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
James T (AI) | 21.7679 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
James T (AI) | 21.8602 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Opala |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Celso C (AI) |
Led most laps | Celso C (AI) |
Best lap | Celso C (AI) (01:13.4770) |
Max minutes | 60 |
Lasted laps | 5 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | ▴ 42 | Celso C (AI) | #101 - Celso Camargo - Opala | 5 | Accident | 01:13.4770 | 99.31% | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #101 - Celso Camargo - Opala | 01:14.0097 | 24.6893 | 24.6505 | 24.6699 | F:0,Race - R:0,Race |
95.3 -
95.3
96.1 - 96.1 |
96.1% | AIControl |
2 | #101 - Celso Camargo - Opala | 01:13.4770 | 24.2292 | 24.6297 | 24.6181 | F:0,Race - R:0,Race |
93.7 -
93.3
94.9 - 94.9 |
93.7% | AIControl |
3 | #101 - Celso Camargo - Opala | 01:13.8414 | 24.6475 | 24.5794 | 24.6145 | F:0,Race - R:0,Race |
91.8 -
91.4
93.3 - 93.3 |
91% | AIControl |
4 | #101 - Celso Camargo - Opala | 01:14.1322 | 24.9445 | 24.5776 | 24.6102 | F:0,Race - R:0,Race |
90.2 -
89.8
92.2 - 91.8 |
88.2% | AIControl |
5 | #101 - Celso Camargo - Opala | 02:13.7366 | 61.7321 | 36.3835 | 35.6211 | F:0,Race - R:0,Race |
86.7 -
86.3
89.0 - 89.0 |
85.1% | AIControl |
Average | 01:25.8394 | 32.0485 | 26.9641 | 26.8268 | |||||
Best possible | 01:13.4170 | 24.2292 | 24.5776 | 24.6102 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Celso C (AI) | #101 - Celso Camargo - Opala | 01:13.4770 | |
Celso C (AI) | #101 - Celso Camargo - Opala | 01:13.8414 | 0.3644 |
Celso C (AI) | #101 - Celso Camargo - Opala | 01:14.0097 | 0.5327 |
Celso C (AI) | #101 - Celso Camargo - Opala | 01:14.1322 | 0.6552 |
Celso C (AI) | #101 - Celso Camargo - Opala | 02:13.7366 | 60.2596 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Celso C (AI) | #101 - Celso Camargo - Opala | 01:13.4770 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Celso C (AI) | #101 - Celso Camargo - Opala | 99.31% <> 0.5098 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Celso C (AI) | 24.2292 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Celso C (AI) | 24.5776 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Celso C (AI) | 24.6102 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Opala 1979 |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Cristiano J (AI) |
Led most laps | Cristiano J (AI) |
Best lap | Cristiano J (AI) (00:47.8478) |
Max minutes | 60 |
Lasted laps | 5 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 15 | Cristiano J (AI) | Opala SS V8 1972 - Opala 1979 | 5 | Accident | 00:47.8478 | 90.12% | 0 | 1 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Opala SS V8 1972 - Opala 1979 | 00:51.4659 | 19.3556 | 16.1002 | 16.0100 | F:0,Slicks - R:0,Slicks |
99.2 -
98.8
99.2 - 99.2 |
91% | AIControl |
2 | Opala SS V8 1972 - Opala 1979 | 00:47.8478 | 15.8244 | 15.9089 | 16.1145 | F:0,Slicks - R:0,Slicks |
98.8 -
98.4
98.8 - 98.8 |
84.3% | AIControl |
3 | Opala SS V8 1972 - Opala 1979 | 00:51.0454 | 16.0119 | 15.9706 | 19.0629 | F:0,Slicks - R:0,Slicks |
98.4 -
98.0
98.8 - 98.4 |
78.4% | AIControl |
4 | Opala SS V8 1972 - Opala 1979 | 00:54.1020 | 21.3869 | 16.0080 | 16.7071 | F:0,Slicks - R:0,Slicks |
98.4 -
97.6
98.4 - 98.0 |
72.2% | AIControl |
5 (P: 7.0554) | Opala SS V8 1972 - Opala 1979 | 01:01.3704 | 17.6819 | 19.6595 | 24.0290 | F:0,Slicks - R:0,Slicks |
98.0 -
97.3
98.0 - 97.6 |
67.5% | AIControl |
Average | 00:53.1662 | 18.0521 | 16.7294 | 18.3847 | |||||
Best possible | 00:47.7433 | 15.8244 | 15.9089 | 16.0100 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Cristiano J (AI) | Opala SS V8 1972 - Opala 1979 | 00:47.8478 | |
Cristiano J (AI) | Opala SS V8 1972 - Opala 1979 | 00:51.0454 | 3.1976 |
Cristiano J (AI) | Opala SS V8 1972 - Opala 1979 | 00:51.4659 | 3.6181 |
Cristiano J (AI) | Opala SS V8 1972 - Opala 1979 | 00:54.1020 | 6.2542 |
Cristiano J (AI) | Opala SS V8 1972 - Opala 1979 | 01:01.3704 | 13.5226 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Cristiano J (AI) | Opala SS V8 1972 - Opala 1979 | 00:47.8478 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Cristiano J (AI) | Opala SS V8 1972 - Opala 1979 | 90.12% <> 4.7259 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Cristiano J (AI) | 15.8244 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Cristiano J (AI) | 15.9089 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Cristiano J (AI) | 16.0100 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Silver |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Benjamin G (AI) |
Led most laps | Benjamin G (AI) |
Best lap | Benjamin G (AI) (00:51.0203) |
Max minutes | 60 |
Lasted laps | 58 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 22 | 63 | Benjamin G (AI) | Benjamin Gray #63 - Silver | 58 | 01:00:49.9949 | 00:51.0203 | 91.54% | 0 | 4 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Benjamin Gray #63 - Silver | 00:56.2593 | 20.3515 | 18.1523 | 17.7555 | F:0,Super Speedway - R:0,Super Speedway |
98.4 -
98.8
98.0 - 99.2 |
94.1% | AIControl |
2 | Benjamin Gray #63 - Silver | 00:53.3111 | 17.2507 | 17.9875 | 18.0730 | F:0,Super Speedway - R:0,Super Speedway |
97.6 -
98.4
97.6 - 98.4 |
91% | AIControl |
3 | Benjamin Gray #63 - Silver | 00:54.1102 | 18.0433 | 18.0246 | 18.0423 | F:0,Super Speedway - R:0,Super Speedway |
97.3 -
98.0
96.9 - 98.0 |
88.2% | AIControl |
4 | Benjamin Gray #63 - Silver | 00:58.0948 | 18.0497 | 18.0212 | 22.0239 | F:0,Super Speedway - R:0,Super Speedway |
96.5 -
97.3
96.1 - 97.6 |
85.5% | AIControl |
5 (P: 144.6816) | Benjamin Gray #63 - Silver | 01:05.2102 | 23.3536 | 17.9472 | 23.9094 | F:0,Super Speedway - R:0,Super Speedway |
95.7 -
96.5
95.3 - 97.3 |
82.4% | AIControl |
6 | Benjamin Gray #63 - Silver | 03:36.0715 | 158.5141 | 21.6082 | 35.9492 | F:0,Super Speedway - R:0,Super Speedway |
98.4 -
99.2
98.8 - 99.6 |
96.9% | AIControl |
7 (P: 45.2878) | Benjamin Gray #63 - Silver | 01:03.5474 | 19.6019 | 17.4171 | 26.5284 | F:0,Super Speedway - R:0,Super Speedway |
97.6 -
98.4
98.0 - 98.8 |
93.7% | AIControl |
8 | Benjamin Gray #63 - Silver | 02:00.3264 | 56.5013 | 21.6225 | 42.2025 | F:0,Super Speedway - R:0,Super Speedway |
99.2 -
99.6
99.2 - 99.6 |
97.3% | AIControl |
9 | Benjamin Gray #63 - Silver | 01:05.7504 | 23.6450 | 21.5238 | 20.5816 | F:0,Super Speedway - R:0,Super Speedway |
98.4 -
98.8
98.4 - 99.2 |
94.1% | AIControl |
10 | Benjamin Gray #63 - Silver | 00:52.9697 | 18.5616 | 17.3162 | 17.0920 | F:0,Super Speedway - R:0,Super Speedway |
97.6 -
98.4
97.6 - 98.4 |
90.6% | AIControl |
11 | Benjamin Gray #63 - Silver | 00:51.6465 | 17.4144 | 17.1581 | 17.0739 | F:0,Super Speedway - R:0,Super Speedway |
97.3 -
98.0
96.9 - 98.0 |
87.1% | AIControl |
12 | Benjamin Gray #63 - Silver | 00:51.2469 | 17.0272 | 17.0480 | 17.1717 | F:0,Super Speedway - R:0,Super Speedway |
96.5 -
97.3
96.5 - 97.6 |
83.5% | AIControl |
13 | Benjamin Gray #63 - Silver | 00:52.1877 | 17.5631 | 17.2682 | 17.3564 | F:0,Super Speedway - R:0,Super Speedway |
95.7 -
96.9
95.7 - 97.3 |
80.4% | AIControl |
14 | Benjamin Gray #63 - Silver | 00:56.2704 | 17.1591 | 17.3662 | 21.7451 | F:0,Super Speedway - R:0,Super Speedway |
95.3 -
96.5
94.9 - 96.9 |
77.6% | AIControl |
15 | Benjamin Gray #63 - Silver | 01:05.4958 | 21.9160 | 21.8722 | 21.7076 | F:0,Super Speedway - R:0,Super Speedway |
94.5 -
96.1
94.1 - 96.5 |
75.3% | AIControl |
16 | Benjamin Gray #63 - Silver | 01:05.9240 | 22.1045 | 21.9261 | 21.8933 | F:0,Super Speedway - R:0,Super Speedway |
93.7 -
95.3
93.7 - 95.7 |
72.9% | AIControl |
17 | Benjamin Gray #63 - Silver | 01:05.8881 | 21.8811 | 21.8698 | 22.1372 | F:0,Super Speedway - R:0,Super Speedway |
93.3 -
94.9
92.9 - 95.3 |
70.2% | AIControl |
18 | Benjamin Gray #63 - Silver | 01:05.6826 | 21.9398 | 21.8109 | 21.9319 | F:0,Super Speedway - R:0,Super Speedway |
92.5 -
94.5
92.2 - 94.9 |
67.8% | AIControl |
19 | Benjamin Gray #63 - Silver | 01:05.5963 | 21.8208 | 21.8851 | 21.8904 | F:0,Super Speedway - R:0,Super Speedway |
91.8 -
94.1
91.4 - 94.5 |
65.5% | AIControl |
20 | Benjamin Gray #63 - Silver | 00:58.8636 | 21.8750 | 19.4209 | 17.5677 | F:0,Super Speedway - R:0,Super Speedway |
91.4 -
93.3
91.0 - 94.1 |
62.4% | AIControl |
21 | Benjamin Gray #63 - Silver | 00:51.3688 | 17.1467 | 17.0863 | 17.1357 | F:0,Super Speedway - R:0,Super Speedway |
90.6 -
92.9
90.2 - 93.7 |
58.8% | AIControl |
22 | Benjamin Gray #63 - Silver | 00:52.7850 | 17.3555 | 18.2400 | 17.1896 | F:0,Super Speedway - R:0,Super Speedway |
89.8 -
92.5
89.4 - 92.9 |
55.3% | AIControl |
23 | Benjamin Gray #63 - Silver | 00:51.0203 | 16.9341 | 16.8557 | 17.2305 | F:0,Super Speedway - R:0,Super Speedway |
89.4 -
92.2
88.6 - 92.5 |
52.2% | AIControl |
24 | Benjamin Gray #63 - Silver | 00:51.4153 | 16.9626 | 17.2330 | 17.2196 | F:0,Super Speedway - R:0,Super Speedway |
88.6 -
91.4
88.2 - 92.2 |
48.6% | AIControl |
25 | Benjamin Gray #63 - Silver | 00:59.0641 | 20.6804 | 20.3475 | 18.0361 | F:0,Super Speedway - R:0,Super Speedway |
88.2 -
91.0
87.5 - 91.8 |
45.9% | AIControl |
26 | Benjamin Gray #63 - Silver | 00:51.6638 | 16.9978 | 17.1873 | 17.4788 | F:0,Super Speedway - R:0,Super Speedway |
87.5 -
90.6
86.7 - 91.4 |
42.7% | AIControl |
27 | Benjamin Gray #63 - Silver | 00:51.3149 | 17.0861 | 17.0719 | 17.1570 | F:0,Super Speedway - R:0,Super Speedway |
87.1 -
90.2
86.3 - 91.0 |
39.2% | AIControl |
28 | Benjamin Gray #63 - Silver | 00:54.4486 | 18.2408 | 18.0933 | 18.1145 | F:0,Super Speedway - R:0,Super Speedway |
86.3 -
89.4
85.5 - 90.2 |
36.1% | AIControl |
29 | Benjamin Gray #63 - Silver | 00:51.6365 | 17.3650 | 17.1289 | 17.1426 | F:0,Super Speedway - R:0,Super Speedway |
85.5 -
89.0
84.7 - 89.8 |
32.5% | AIControl |
30 | Benjamin Gray #63 - Silver | 00:58.9944 | 17.0657 | 20.0040 | 21.9247 | F:0,Super Speedway - R:0,Super Speedway |
85.1 -
88.6
83.9 - 89.4 |
29.8% | AIControl |
31 | Benjamin Gray #63 - Silver | 01:05.5615 | 21.8325 | 21.8315 | 21.8975 | F:0,Super Speedway - R:0,Super Speedway |
84.3 -
87.8
83.5 - 89.0 |
27.1% | AIControl |
32 | Benjamin Gray #63 - Silver | 01:00.0303 | 21.8650 | 19.6206 | 18.5447 | F:0,Super Speedway - R:0,Super Speedway |
83.5 -
87.5
82.7 - 88.6 |
24.3% | AIControl |
33 | Benjamin Gray #63 - Silver | 00:53.4077 | 18.2429 | 17.9026 | 17.2622 | F:0,Super Speedway - R:0,Super Speedway |
83.1 -
87.1
82.0 - 88.2 |
21.2% | AIControl |
34 | Benjamin Gray #63 - Silver | 00:58.5300 | 18.8313 | 21.4832 | 18.2156 | F:0,Super Speedway - R:0,Super Speedway |
82.4 -
86.7
81.2 - 87.5 |
18% | AIControl |
35 | Benjamin Gray #63 - Silver | 00:51.5068 | 17.2476 | 17.1133 | 17.1460 | F:0,Super Speedway - R:0,Super Speedway |
81.6 -
85.9
80.8 - 87.1 |
14.5% | AIControl |
36 | Benjamin Gray #63 - Silver | 00:51.3438 | 17.1060 | 17.0952 | 17.1426 | F:0,Super Speedway - R:0,Super Speedway |
80.8 -
85.5
80.0 - 86.7 |
11% | AIControl |
37 | Benjamin Gray #63 - Silver | 00:53.8284 | 17.1086 | 17.0813 | 19.6384 | F:0,Super Speedway - R:0,Super Speedway |
80.4 -
85.1
79.2 - 86.3 |
7.8% | AIControl |
38 (P: 41.1956) | Benjamin Gray #63 - Silver | 01:11.2473 | 21.8516 | 21.7571 | 27.6387 | F:0,Super Speedway - R:0,Super Speedway |
79.6 -
84.3
78.4 - 85.9 |
5.5% | AIControl |
39 | Benjamin Gray #63 - Silver | 01:26.6406 | 51.2988 | 18.1555 | 17.1863 | F:0,Super Speedway - R:0,Super Speedway |
99.2 -
99.6
99.2 - 99.6 |
96.1% | AIControl |
40 (P: 149.6418) | Benjamin Gray #63 - Silver | 00:59.6335 | 17.0378 | 17.0623 | 25.5334 | F:0,Super Speedway - R:0,Super Speedway |
98.4 -
98.8
98.4 - 98.8 |
92.9% | AIControl |
41 | Benjamin Gray #63 - Silver | 03:17.3406 | 161.8503 | 18.2087 | 17.2815 | F:0,Super Speedway - R:0,Super Speedway |
99.2 -
99.6
99.2 - 99.6 |
96.1% | AIControl |
42 | Benjamin Gray #63 - Silver | 00:52.6812 | 17.9375 | 17.5642 | 17.1794 | F:0,Super Speedway - R:0,Super Speedway |
98.4 -
98.8
98.4 - 98.8 |
92.9% | AIControl |
43 | Benjamin Gray #63 - Silver | 00:53.8503 | 17.1226 | 18.7083 | 18.0195 | F:0,Super Speedway - R:0,Super Speedway |
98.0 -
98.4
97.6 - 98.4 |
89.4% | AIControl |
44 | Benjamin Gray #63 - Silver | 00:51.5762 | 17.2778 | 17.2485 | 17.0498 | F:0,Super Speedway - R:0,Super Speedway |
97.3 -
98.0
97.3 - 98.0 |
85.9% | AIControl |
45 | Benjamin Gray #63 - Silver | 00:51.3052 | 17.0947 | 17.0862 | 17.1243 | F:0,Super Speedway - R:0,Super Speedway |
96.5 -
97.3
96.5 - 97.6 |
82.4% | AIControl |
46 | Benjamin Gray #63 - Silver | 00:51.3577 | 17.0806 | 17.0149 | 17.2622 | F:0,Super Speedway - R:0,Super Speedway |
95.7 -
96.9
95.7 - 96.9 |
78.8% | AIControl |
47 | Benjamin Gray #63 - Silver | 00:51.2456 | 17.1216 | 17.0784 | 17.0457 | F:0,Super Speedway - R:0,Super Speedway |
95.3 -
96.5
94.9 - 96.5 |
75.3% | AIControl |
48 | Benjamin Gray #63 - Silver | 00:56.5681 | 18.3757 | 20.4158 | 17.7766 | F:0,Super Speedway - R:0,Super Speedway |
94.5 -
95.7
94.5 - 96.1 |
72.2% | AIControl |
49 | Benjamin Gray #63 - Silver | 00:51.4241 | 17.1982 | 17.0972 | 17.1287 | F:0,Super Speedway - R:0,Super Speedway |
93.7 -
95.3
93.7 - 95.7 |
68.2% | AIControl |
50 | Benjamin Gray #63 - Silver | 00:51.3088 | 17.1018 | 17.0830 | 17.1240 | F:0,Super Speedway - R:0,Super Speedway |
92.9 -
94.9
92.9 - 94.9 |
64.7% | AIControl |
51 | Benjamin Gray #63 - Silver | 00:51.3020 | 17.0989 | 17.0671 | 17.1360 | F:0,Super Speedway - R:0,Super Speedway |
92.5 -
94.1
92.2 - 94.5 |
61.2% | AIControl |
52 | Benjamin Gray #63 - Silver | 00:51.1099 | 17.1052 | 17.0872 | 16.9175 | F:0,Super Speedway - R:0,Super Speedway |
91.8 -
93.7
91.8 - 94.1 |
57.6% | AIControl |
53 | Benjamin Gray #63 - Silver | 00:54.6897 | 19.0879 | 18.3098 | 17.2920 | F:0,Super Speedway - R:0,Super Speedway |
91.0 -
93.3
91.0 - 93.7 |
54.1% | AIControl |
54 | Benjamin Gray #63 - Silver | 00:51.2756 | 17.0896 | 17.0601 | 17.1260 | F:0,Super Speedway - R:0,Super Speedway |
90.6 -
92.5
90.2 - 92.9 |
50.6% | AIControl |
55 | Benjamin Gray #63 - Silver | 00:55.6594 | 18.9124 | 18.9077 | 17.8394 | F:0,Super Speedway - R:0,Super Speedway |
89.8 -
92.2
89.4 - 92.5 |
47.5% | AIControl |
56 | Benjamin Gray #63 - Silver | 00:56.3838 | 17.7097 | 17.5962 | 21.0779 | F:0,Super Speedway - R:0,Super Speedway |
89.0 -
91.8
89.0 - 92.2 |
44.7% | AIControl |
57 | Benjamin Gray #63 - Silver | 00:52.4990 | 18.2017 | 17.2063 | 17.0911 | F:0,Super Speedway - R:0,Super Speedway |
88.6 -
91.4
88.2 - 91.8 |
41.2% | AIControl |
58 | Benjamin Gray #63 - Silver | 00:52.0811 | 17.0984 | 17.3772 | 17.6055 | F:0,Super Speedway - R:0,Super Speedway |
87.8 -
90.6
87.5 - 91.0 |
37.6% | AIControl |
Average | 01:02.8199 | 24.7120 | 18.5123 | 19.5956 | |||||
Best possible | 00:50.7073 | 16.9341 | 16.8557 | 16.9175 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.0203 | |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.1099 | 0.0896 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.2456 | 0.2253 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.2469 | 0.2266 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.2756 | 0.2553 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.3020 | 0.2817 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.3052 | 0.2849 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.3088 | 0.2885 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.3149 | 0.2946 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.3438 | 0.3235 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.3577 | 0.3374 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.3688 | 0.3485 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.4153 | 0.395 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.4241 | 0.4038 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.5068 | 0.4865 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.5762 | 0.5559 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.6365 | 0.6162 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.6465 | 0.6262 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.6638 | 0.6435 |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:52.0811 | 1.0608 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Benjamin G (AI) | Benjamin Gray #63 - Silver | 00:51.0203 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Benjamin G (AI) | Benjamin Gray #63 - Silver | 91.54% <> 4.3184 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Benjamin G (AI) | 16.9341 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Benjamin G (AI) | 16.8557 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Benjamin G (AI) | 16.9175 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Thunder |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Martin C (AI) |
Led most laps | Martin C (AI) |
Best lap | Martin C (AI) (00:50.6776) |
Max minutes | 60 |
Lasted laps | 58 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 11 | 88 | Martin C (AI) | Martin Carlton #88 - Thunder | 58 | 01:01:25.3423 | 00:50.6776 | 90.52% | 0 | 3 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Martin Carlton #88 - Thunder | 00:54.4566 | 20.3898 | 17.1716 | 16.8951 | F:0,Super Speedway - R:0,Super Speedway |
98.4 -
98.8
98.0 - 99.2 |
93.7% | AIControl |
2 | Martin Carlton #88 - Thunder | 00:50.6776 | 16.8849 | 16.8979 | 16.8948 | F:0,Super Speedway - R:0,Super Speedway |
97.6 -
98.4
97.6 - 98.4 |
89.8% | AIControl |
3 | Martin Carlton #88 - Thunder | 00:50.6848 | 16.8944 | 16.8967 | 16.8937 | F:0,Super Speedway - R:0,Super Speedway |
96.9 -
98.0
96.9 - 98.0 |
86.3% | AIControl |
4 (P: 157.2971) | Martin Carlton #88 - Thunder | 03:11.6398 | 19.6699 | 21.0106 | 150.9593 | F:0,Super Speedway - R:0,Super Speedway |
100.0 -
100.0
100.0 - 100.0 |
99.6% | AIControl |
5 | Martin Carlton #88 - Thunder | 01:31.6404 | 43.7460 | 21.7255 | 26.1688 | F:0,Super Speedway - R:0,Super Speedway |
99.2 -
99.2
98.8 - 99.6 |
96.9% | AIControl |
6 | Martin Carlton #88 - Thunder | 01:22.7908 | 36.2143 | 21.6054 | 24.9711 | F:0,Super Speedway - R:0,Super Speedway |
98.0 -
98.8
98.0 - 98.8 |
94.5% | AIControl |
7 (P: 143.4595) | Martin Carlton #88 - Thunder | 03:11.5858 | 23.4651 | 17.4033 | 150.7173 | F:0,Super Speedway - R:0,Super Speedway |
100.0 -
100.0
100.0 - 100.0 |
99.6% | AIControl |
8 | Martin Carlton #88 - Thunder | 01:04.7553 | 30.1504 | 17.7086 | 16.8963 | F:0,Super Speedway - R:0,Super Speedway |
99.2 -
99.6
99.2 - 99.6 |
96.1% | AIControl |
9 | Martin Carlton #88 - Thunder | 00:50.6982 | 16.9001 | 16.8991 | 16.8990 | F:0,Super Speedway - R:0,Super Speedway |
98.4 -
98.8
98.4 - 98.8 |
92.2% | AIControl |
10 | Martin Carlton #88 - Thunder | 00:57.7082 | 16.9408 | 18.6978 | 22.0696 | F:0,Super Speedway - R:0,Super Speedway |
98.0 -
98.4
97.6 - 98.4 |
89.4% | AIControl |
11 | Martin Carlton #88 - Thunder | 01:04.3632 | 21.8549 | 21.7333 | 20.7750 | F:0,Super Speedway - R:0,Super Speedway |
97.3 -
98.0
97.3 - 98.0 |
87.1% | AIControl |
12 | Martin Carlton #88 - Thunder | 00:51.6724 | 17.7744 | 16.9675 | 16.9304 | F:0,Super Speedway - R:0,Super Speedway |
96.5 -
97.3
96.5 - 97.6 |
83.5% | AIControl |
13 | Martin Carlton #88 - Thunder | 00:50.8600 | 16.9648 | 16.9269 | 16.9683 | F:0,Super Speedway - R:0,Super Speedway |
96.1 -
96.9
95.7 - 97.3 |
79.6% | AIControl |
14 | Martin Carlton #88 - Thunder | 00:50.8580 | 16.9622 | 16.9231 | 16.9728 | F:0,Super Speedway - R:0,Super Speedway |
95.3 -
96.5
94.9 - 96.5 |
76.1% | AIControl |
15 | Martin Carlton #88 - Thunder | 00:50.8514 | 16.9597 | 16.9213 | 16.9705 | F:0,Super Speedway - R:0,Super Speedway |
94.5 -
95.7
94.5 - 96.1 |
72.2% | AIControl |
16 | Martin Carlton #88 - Thunder | 01:00.5001 | 17.2352 | 21.2850 | 21.9799 | F:0,Super Speedway - R:0,Super Speedway |
93.7 -
95.3
93.7 - 95.7 |
69.8% | AIControl |
17 | Martin Carlton #88 - Thunder | 01:05.6871 | 22.0006 | 21.8368 | 21.8497 | F:0,Super Speedway - R:0,Super Speedway |
93.3 -
94.9
92.9 - 95.3 |
67.1% | AIControl |
18 | Martin Carlton #88 - Thunder | 01:05.5963 | 22.0194 | 21.6680 | 21.9089 | F:0,Super Speedway - R:0,Super Speedway |
92.5 -
94.5
92.2 - 94.9 |
64.7% | AIControl |
19 | Martin Carlton #88 - Thunder | 00:58.8408 | 21.8873 | 19.6259 | 17.3276 | F:0,Super Speedway - R:0,Super Speedway |
92.2 -
93.7
91.4 - 94.5 |
62% | AIControl |
20 | Martin Carlton #88 - Thunder | 00:51.2571 | 17.2260 | 16.9856 | 17.0455 | F:0,Super Speedway - R:0,Super Speedway |
91.4 -
93.3
91.0 - 93.7 |
58.4% | AIControl |
21 | Martin Carlton #88 - Thunder | 00:52.0837 | 17.1095 | 17.5786 | 17.3956 | F:0,Super Speedway - R:0,Super Speedway |
90.6 -
92.9
90.2 - 93.3 |
55.3% | AIControl |
22 | Martin Carlton #88 - Thunder | 00:51.3959 | 17.0519 | 17.1150 | 17.2290 | F:0,Super Speedway - R:0,Super Speedway |
90.2 -
92.5
89.8 - 92.9 |
52.2% | AIControl |
23 | Martin Carlton #88 - Thunder | 00:51.3745 | 16.9727 | 17.1110 | 17.2909 | F:0,Super Speedway - R:0,Super Speedway |
89.4 -
91.8
89.0 - 92.5 |
49% | AIControl |
24 | Martin Carlton #88 - Thunder | 00:51.6250 | 17.7251 | 16.9528 | 16.9471 | F:0,Super Speedway - R:0,Super Speedway |
89.0 -
91.4
88.2 - 92.2 |
45.5% | AIControl |
25 | Martin Carlton #88 - Thunder | 00:55.1729 | 18.3173 | 18.4860 | 18.3696 | F:0,Super Speedway - R:0,Super Speedway |
88.2 -
91.0
87.5 - 91.8 |
42.4% | AIControl |
26 | Martin Carlton #88 - Thunder | 00:54.8652 | 18.4171 | 18.2563 | 18.1918 | F:0,Super Speedway - R:0,Super Speedway |
87.5 -
90.6
87.1 - 91.0 |
39.6% | AIControl |
27 | Martin Carlton #88 - Thunder | 00:55.0864 | 18.6667 | 18.1257 | 18.2939 | F:0,Super Speedway - R:0,Super Speedway |
87.1 -
89.8
86.3 - 90.6 |
36.9% | AIControl |
28 | Martin Carlton #88 - Thunder | 00:54.8993 | 18.3256 | 18.3127 | 18.2610 | F:0,Super Speedway - R:0,Super Speedway |
86.3 -
89.4
85.5 - 90.2 |
34.1% | AIControl |
29 | Martin Carlton #88 - Thunder | 00:55.8091 | 18.4758 | 18.4150 | 18.9182 | F:0,Super Speedway - R:0,Super Speedway |
85.9 -
89.0
85.1 - 89.8 |
31.4% | AIControl |
30 | Martin Carlton #88 - Thunder | 01:05.4858 | 21.7461 | 21.8362 | 21.9036 | F:0,Super Speedway - R:0,Super Speedway |
85.1 -
88.6
84.3 - 89.4 |
29.4% | AIControl |
31 | Martin Carlton #88 - Thunder | 00:58.4089 | 21.8542 | 19.3367 | 17.2180 | F:0,Super Speedway - R:0,Super Speedway |
84.3 -
87.8
83.5 - 89.0 |
26.3% | AIControl |
32 | Martin Carlton #88 - Thunder | 00:52.3528 | 16.9482 | 16.8809 | 18.5237 | F:0,Super Speedway - R:0,Super Speedway |
83.5 -
87.5
82.7 - 88.6 |
23.1% | AIControl |
33 (P: 144.4319) | Martin Carlton #88 - Thunder | 03:07.5723 | 18.9597 | 17.0269 | 151.5857 | F:0,Super Speedway - R:0,Super Speedway |
100.0 -
100.0
100.0 - 100.0 |
99.6% | AIControl |
34 | Martin Carlton #88 - Thunder | 01:06.1033 | 30.2544 | 17.9548 | 17.8940 | F:0,Super Speedway - R:0,Super Speedway |
99.2 -
99.2
99.2 - 99.6 |
96.1% | AIControl |
35 | Martin Carlton #88 - Thunder | 00:53.9224 | 17.2449 | 18.3828 | 18.2947 | F:0,Super Speedway - R:0,Super Speedway |
98.8 -
98.8
98.4 - 98.8 |
93.3% | AIControl |
36 | Martin Carlton #88 - Thunder | 00:54.4299 | 18.0017 | 18.2202 | 18.2080 | F:0,Super Speedway - R:0,Super Speedway |
98.0 -
98.4
97.6 - 98.4 |
90.2% | AIControl |
37 | Martin Carlton #88 - Thunder | 00:54.6548 | 18.2627 | 18.0818 | 18.3103 | F:0,Super Speedway - R:0,Super Speedway |
97.3 -
98.0
97.3 - 98.0 |
87.5% | AIControl |
38 | Martin Carlton #88 - Thunder | 00:54.6133 | 18.1133 | 18.0671 | 18.4329 | F:0,Super Speedway - R:0,Super Speedway |
96.9 -
97.3
96.5 - 97.6 |
84.7% | AIControl |
39 | Martin Carlton #88 - Thunder | 00:54.2400 | 17.9839 | 17.8713 | 18.3848 | F:0,Super Speedway - R:0,Super Speedway |
96.1 -
96.9
96.1 - 97.3 |
82% | AIControl |
40 | Martin Carlton #88 - Thunder | 00:54.2693 | 18.0654 | 17.9021 | 18.3018 | F:0,Super Speedway - R:0,Super Speedway |
95.7 -
96.5
95.3 - 96.9 |
79.2% | AIControl |
41 | Martin Carlton #88 - Thunder | 00:54.4063 | 18.3135 | 17.9319 | 18.1609 | F:0,Super Speedway - R:0,Super Speedway |
94.9 -
96.1
94.5 - 96.5 |
76.1% | AIControl |
42 | Martin Carlton #88 - Thunder | 00:55.4836 | 18.2866 | 18.7305 | 18.4666 | F:0,Super Speedway - R:0,Super Speedway |
94.5 -
95.3
93.7 - 95.7 |
73.7% | AIControl |
43 | Martin Carlton #88 - Thunder | 00:55.7122 | 18.6516 | 18.4451 | 18.6155 | F:0,Super Speedway - R:0,Super Speedway |
93.7 -
94.9
93.3 - 95.3 |
71% | AIControl |
44 | Martin Carlton #88 - Thunder | 00:55.5024 | 18.5969 | 18.4207 | 18.4849 | F:0,Super Speedway - R:0,Super Speedway |
92.9 -
94.5
92.5 - 94.9 |
68.2% | AIControl |
45 | Martin Carlton #88 - Thunder | 00:55.4421 | 18.5730 | 18.4268 | 18.4424 | F:0,Super Speedway - R:0,Super Speedway |
92.5 -
94.1
91.8 - 94.5 |
65.5% | AIControl |
46 | Martin Carlton #88 - Thunder | 00:56.4648 | 19.1072 | 18.8362 | 18.5215 | F:0,Super Speedway - R:0,Super Speedway |
91.8 -
93.3
91.4 - 94.1 |
62.7% | AIControl |
47 | Martin Carlton #88 - Thunder | 00:55.5154 | 18.3579 | 18.5544 | 18.6030 | F:0,Super Speedway - R:0,Super Speedway |
91.4 -
92.9
90.6 - 93.7 |
60% | AIControl |
48 | Martin Carlton #88 - Thunder | 00:55.1599 | 18.3213 | 18.3459 | 18.4927 | F:0,Super Speedway - R:0,Super Speedway |
90.6 -
92.5
89.8 - 93.3 |
57.3% | AIControl |
49 | Martin Carlton #88 - Thunder | 00:55.2253 | 18.2056 | 18.3645 | 18.6553 | F:0,Super Speedway - R:0,Super Speedway |
90.2 -
92.2
89.4 - 92.9 |
54.5% | AIControl |
50 | Martin Carlton #88 - Thunder | 00:54.9795 | 18.1960 | 18.1836 | 18.5999 | F:0,Super Speedway - R:0,Super Speedway |
89.4 -
91.4
88.6 - 92.2 |
51.8% | AIControl |
51 | Martin Carlton #88 - Thunder | 00:54.9211 | 18.2725 | 18.0754 | 18.5732 | F:0,Super Speedway - R:0,Super Speedway |
88.6 -
91.0
87.8 - 91.8 |
49% | AIControl |
52 | Martin Carlton #88 - Thunder | 00:54.9343 | 18.3035 | 18.1101 | 18.5208 | F:0,Super Speedway - R:0,Super Speedway |
88.2 -
90.6
87.5 - 91.4 |
46.3% | AIControl |
53 | Martin Carlton #88 - Thunder | 00:55.0117 | 18.3679 | 18.1526 | 18.4912 | F:0,Super Speedway - R:0,Super Speedway |
87.5 -
90.2
86.7 - 91.0 |
43.5% | AIControl |
54 | Martin Carlton #88 - Thunder | 00:58.2515 | 18.6304 | 19.5698 | 20.0513 | F:0,Super Speedway - R:0,Super Speedway |
86.7 -
89.4
85.9 - 90.6 |
40.4% | AIControl |
55 | Martin Carlton #88 - Thunder | 00:51.5698 | 17.2688 | 17.3325 | 16.9685 | F:0,Super Speedway - R:0,Super Speedway |
86.3 -
89.0
85.1 - 90.2 |
36.9% | AIControl |
56 | Martin Carlton #88 - Thunder | 00:50.8572 | 16.9578 | 16.9246 | 16.9749 | F:0,Super Speedway - R:0,Super Speedway |
85.5 -
88.6
84.7 - 89.4 |
32.9% | AIControl |
57 | Martin Carlton #88 - Thunder | 00:53.6956 | 16.9622 | 16.9985 | 19.7349 | F:0,Super Speedway - R:0,Super Speedway |
84.7 -
87.8
83.9 - 89.0 |
29.4% | AIControl |
58 | Martin Carlton #88 - Thunder | 00:51.3767 | 17.4795 | 16.9290 | 16.9683 | F:0,Super Speedway - R:0,Super Speedway |
84.3 -
87.5
83.1 - 88.6 |
25.9% | AIControl |
Average | 01:03.4483 | 19.6119 | 18.3644 | 25.4720 | |||||
Best possible | 00:50.6595 | 16.8849 | 16.8809 | 16.8937 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:50.6776 | |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:50.6848 | 0.0072 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:50.6982 | 0.0206 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:50.8514 | 0.1738 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:50.8572 | 0.1796 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:50.8580 | 0.1804 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:50.8600 | 0.1824 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:51.2571 | 0.5795 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:51.3745 | 0.6969 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:51.3767 | 0.6991 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:51.3959 | 0.7183 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:51.5698 | 0.8922 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:51.6250 | 0.9474 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:51.6724 | 0.9948 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:52.0837 | 1.4061 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:52.3528 | 1.6752 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:53.6956 | 3.018 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:53.9224 | 3.2448 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:54.2400 | 3.5624 |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:54.2693 | 3.5917 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Martin C (AI) | Martin Carlton #88 - Thunder | 00:50.6776 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Martin C (AI) | Martin Carlton #88 - Thunder | 90.52% <> 4.8054 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Martin C (AI) | 16.8849 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Martin C (AI) | 16.8809 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Martin C (AI) | 16.8937 | - |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
FullscreenUse your mouse scroll wheel to zoom and click to drag.
Game | rFactor 2 (1.1109) |
Session | Race |
Class | V8 Supercars |
Date | 2018-02-10 17:20:50 (UTC) |
Track | Daytona International Speedway (Daytona 500) |
Length | 4010.4m |
Winner | Cameron W (AI) |
Led most laps | Cameron W (AI) |
Best lap | Cameron W (AI) (00:48.0215) |
Max minutes | 60 |
Lasted laps | 48 |
Host | Offline |
Mod | All Tracks & Cars |
Allowed Vehicles | ALMS11, ALMS12, BTCC_125i, BTCC_Avensis, BTCC_Civic, BTCC_Cruze, BTCC_Focus, BTCC_Lancer, Chevrolet, FVR_V8SC16, Ford, GTOPEN11, GTOPEN12, ILMS11, Lister, NCR_2016, RX7, Truck, VLN11, Volkswagen, WEC12, WEGT14, WEGT15, WS_12HBAT16, WS_12HBAT17, WS_24HDUB16, WS_24HNURB15, WS_24HNURB16, WS_BES15, WS_BES16, WS_BGT16, WS_BSS15, WS_BSS16, WS_GTO15, WS_IMSA16, WS_IMSA17, WS_LMC16, WS_PWC15, WS_PWC16, WS_SGT16, WS_SPA16, WS_VLN24H16, WTCC16-17 |
Fixed setup | No |
Other settings | MechFailRate = 2, DamageMult = 100, FuelMult = 1, TireMult = 1 |
Pos | Up | No | Driver | Vehicle | Laps | Time/Retired | Best lap | Consistency | Led | Pits | Aids |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | ▴ 9 | 6 | Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 48 | Accident | 00:48.0215 | 89.30% | 2 | 2 | AIControl |
2 | ▴ 6 | 17 | Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 4 | Engine | 00:48.0262 | - | 0 | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:49.6674 | 17.6587 | 15.9243 | 16.0844 | F:1,Dunlop Soft - R:1,Dunlop Soft |
93.3 -
92.9
94.1 - 93.7 |
95.7% | AIControl |
2 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.2559 | 16.1155 | 16.0245 | 16.1159 | F:1,Dunlop Soft - R:1,Dunlop Soft |
91.0 -
89.4
91.4 - 90.6 |
93.3% | AIControl |
3 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:53.6302 | 16.1248 | 16.0314 | 21.4740 | F:1,Dunlop Soft - R:1,Dunlop Soft |
88.2 -
85.9
89.0 - 87.5 |
91% | AIControl |
4 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:00.4449 | 24.3525 | 19.6532 | 16.4392 | F:1,Dunlop Soft - R:1,Dunlop Soft |
85.5 -
82.7
86.7 - 84.7 |
89% | AIControl |
5 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:55.0075 | 18.8091 | 15.9338 | 20.2646 | F:1,Dunlop Soft - R:1,Dunlop Soft |
83.1 -
79.2
84.3 - 81.6 |
87.5% | AIControl |
6 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:34.6381 | 46.5094 | 21.7533 | 26.3754 | F:1,Dunlop Soft - R:1,Dunlop Soft |
79.6 -
75.3
81.2 - 78.4 |
85.5% | AIControl |
7 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 02:06.9226 | 42.8075 | 43.1730 | 40.9422 | F:1,Dunlop Soft - R:1,Dunlop Soft |
75.3 -
71.4
77.6 - 74.9 |
84.3% | AIControl |
8 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:57.6497 | 22.5054 | 16.7278 | 18.4165 | F:1,Dunlop Soft - R:1,Dunlop Soft |
72.5 -
68.2
74.9 - 71.8 |
81.6% | AIControl |
9 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 02:20.2909 | 44.8522 | 48.1378 | 47.3010 | F:1,Dunlop Soft - R:1,Dunlop Soft |
67.5 -
63.9
71.0 - 67.8 |
80% | AIControl |
10 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:50.9056 | 18.7542 | 16.0246 | 16.1268 | F:1,Dunlop Soft - R:1,Dunlop Soft |
65.1 -
60.4
68.2 - 65.1 |
77.3% | AIControl |
11 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.2968 | 16.1281 | 16.0375 | 16.1312 | F:1,Dunlop Soft - R:1,Dunlop Soft |
62.7 -
56.9
65.9 - 62.0 |
74.9% | AIControl |
12 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.2843 | 16.1199 | 16.0323 | 16.1321 | F:1,Dunlop Soft - R:1,Dunlop Soft |
60.0 -
53.3
63.5 - 58.8 |
72.2% | AIControl |
13 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:53.4679 | 16.1326 | 16.0596 | 21.2757 | F:1,Dunlop Soft - R:1,Dunlop Soft |
57.6 -
50.2
61.2 - 56.1 |
70.2% | AIControl |
14 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:04.3429 | 21.7609 | 21.9141 | 20.6680 | F:1,Dunlop Soft - R:1,Dunlop Soft |
54.9 -
47.1
58.8 - 53.3 |
68.2% | AIControl |
15 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:50.1896 | 17.7711 | 16.3394 | 16.0791 | F:1,Dunlop Soft - R:1,Dunlop Soft |
52.5 -
43.5
56.5 - 50.2 |
65.9% | AIControl |
16 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.1405 | 16.0302 | 15.9824 | 16.1279 | F:1,Dunlop Soft - R:1,Dunlop Soft |
50.2 -
40.4
54.5 - 47.5 |
63.5% | AIControl |
17 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.0798 | 16.0200 | 15.9847 | 16.0751 | F:1,Dunlop Soft - R:1,Dunlop Soft |
47.8 -
37.3
52.2 - 44.7 |
61.6% | AIControl |
18 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:52.4880 | 18.1332 | 17.4752 | 16.8796 | F:1,Dunlop Soft - R:1,Dunlop Soft |
45.5 -
33.7
50.2 - 41.6 |
60% | AIControl |
19 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:05.6476 | 21.8459 | 21.8190 | 21.9827 | F:1,Dunlop Soft - R:1,Dunlop Soft |
43.1 -
30.6
47.8 - 39.2 |
58% | AIControl |
20 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:05.6847 | 21.9907 | 21.7827 | 21.9113 | F:1,Dunlop Soft - R:1,Dunlop Soft |
40.4 -
27.8
45.5 - 36.5 |
56.5% | AIControl |
21 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:05.5970 | 21.9922 | 21.6975 | 21.9073 | F:1,Dunlop Soft - R:1,Dunlop Soft |
38.0 -
24.7
43.1 - 33.7 |
54.9% | AIControl |
22 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:56.6514 | 21.8854 | 18.7505 | 16.0155 | F:1,Dunlop Soft - R:1,Dunlop Soft |
35.7 -
21.6
40.8 - 31.0 |
52.9% | AIControl |
23 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:51.2532 | 16.0156 | 16.2938 | 18.9437 | F:1,Dunlop Soft - R:1,Dunlop Soft |
33.3 -
18.0
38.4 - 27.8 |
51% | AIControl |
24 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.8601 | 16.7815 | 16.0122 | 16.0664 | F:1,Dunlop Soft - R:1,Dunlop Soft |
30.6 -
14.5
36.1 - 25.1 |
48.6% | AIControl |
25 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.1508 | 16.0641 | 16.0167 | 16.0699 | F:1,Dunlop Soft - R:1,Dunlop Soft |
28.2 -
11.4
33.7 - 22.0 |
46.3% | AIControl |
26 (P: 38.0567) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:59.1290 | 16.2325 | 18.7766 | 24.1199 | F:1,Dunlop Soft - R:1,Dunlop Soft |
25.5 -
7.5
31.4 - 18.8 |
43.9% | AIControl |
27 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:24.6552 | 52.5074 | 16.0730 | 16.0747 | F:1,Dunlop Soft - R:1,Dunlop Soft |
97.6 -
96.5
97.6 - 96.9 |
97.3% | AIControl |
28 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.5620 | 16.1096 | 16.4409 | 16.0115 | F:1,Dunlop Soft - R:1,Dunlop Soft |
95.3 -
93.3
95.3 - 93.7 |
94.9% | AIControl |
29 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:51.0656 | 18.7507 | 16.1984 | 16.1165 | F:1,Dunlop Soft - R:1,Dunlop Soft |
92.5 -
89.8
92.9 - 91.0 |
92.5% | AIControl |
30 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:49.3446 | 17.1631 | 16.0564 | 16.1251 | F:1,Dunlop Soft - R:1,Dunlop Soft |
90.2 -
86.3
90.6 - 87.8 |
89.8% | AIControl |
31 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.3695 | 16.2216 | 16.0278 | 16.1201 | F:1,Dunlop Soft - R:1,Dunlop Soft |
87.5 -
82.7
88.2 - 84.7 |
87.5% | AIControl |
32 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.6672 | 16.0623 | 15.9966 | 16.6084 | F:1,Dunlop Soft - R:1,Dunlop Soft |
85.1 -
79.2
85.5 - 81.6 |
84.7% | AIControl |
33 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:03.1870 | 19.3857 | 21.8596 | 21.9417 | F:1,Dunlop Soft - R:1,Dunlop Soft |
82.4 -
76.1
83.1 - 78.8 |
83.1% | AIControl |
34 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:03.9387 | 21.9451 | 21.7632 | 20.2305 | F:1,Dunlop Soft - R:1,Dunlop Soft |
80.0 -
72.5
80.8 - 76.1 |
81.2% | AIControl |
35 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:49.1882 | 16.1379 | 16.2195 | 16.8308 | F:1,Dunlop Soft - R:1,Dunlop Soft |
77.3 -
69.4
78.4 - 72.9 |
78.8% | AIControl |
36 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.4390 | 16.4792 | 15.9258 | 16.0339 | F:1,Dunlop Soft - R:1,Dunlop Soft |
74.9 -
65.9
76.1 - 69.8 |
76.5% | AIControl |
37 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.1929 | 16.0723 | 16.0020 | 16.1187 | F:1,Dunlop Soft - R:1,Dunlop Soft |
72.5 -
62.4
73.7 - 67.1 |
74.1% | AIControl |
38 (P: 34.3786) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:02.3220 | 17.8203 | 16.2720 | 28.2297 | F:1,Dunlop Soft - R:1,Dunlop Soft |
69.8 -
58.8
71.4 - 63.9 |
72.2% | AIControl |
39 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:16.7939 | 44.7195 | 16.0369 | 16.0376 | F:1,Dunlop Soft - R:1,Dunlop Soft |
97.3 -
96.5
97.3 - 96.9 |
97.3% | AIControl |
40 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.0781 | 16.0469 | 15.9939 | 16.0374 | F:1,Dunlop Soft - R:1,Dunlop Soft |
94.9 -
92.9
94.9 - 93.7 |
94.5% | AIControl |
41 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 01:02.7952 | 19.1646 | 21.7644 | 21.8662 | F:1,Dunlop Soft - R:1,Dunlop Soft |
92.2 -
89.8
92.5 - 91.0 |
92.5% | AIControl |
42 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:56.8142 | 21.8374 | 18.8604 | 16.1165 | F:1,Dunlop Soft - R:1,Dunlop Soft |
89.8 -
86.3
90.2 - 87.8 |
90.6% | AIControl |
43 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.0215 | 15.9878 | 15.9326 | 16.1011 | F:1,Dunlop Soft - R:1,Dunlop Soft |
87.1 -
83.1
87.8 - 85.1 |
88.6% | AIControl |
44 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:50.6086 | 16.1174 | 16.0308 | 18.4604 | F:1,Dunlop Soft - R:1,Dunlop Soft |
84.7 -
79.6
85.5 - 82.0 |
86.7% | AIControl |
45 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.3943 | 16.1667 | 16.2000 | 16.0276 | F:1,Dunlop Soft - R:1,Dunlop Soft |
82.4 -
76.1
83.1 - 78.8 |
83.9% | AIControl |
46 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:49.7361 | 16.0686 | 17.5464 | 16.1211 | F:1,Dunlop Soft - R:1,Dunlop Soft |
79.6 -
72.5
80.8 - 76.1 |
81.2% | AIControl |
47 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.5740 | 16.2197 | 16.2378 | 16.1165 | F:1,Dunlop Soft - R:1,Dunlop Soft |
77.3 -
69.0
78.4 - 72.9 |
78.8% | AIControl |
48 | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.2253 | 16.0784 | 16.0298 | 16.1172 | F:1,Dunlop Soft - R:1,Dunlop Soft |
74.5 -
65.9
76.1 - 69.8 |
76.5% | AIControl |
Average | 00:58.6594 | 20.8845 | 18.5797 | 19.1952 | |||||
Best possible | 00:47.9236 | 15.9878 | 15.9243 | 16.0115 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #17 DJR Team Penske FG-X (V8 Supercars) | 00:49.4203 | 17.4657 | 15.9491 | 16.0054 | F:1,Dunlop Soft - R:1,Dunlop Soft |
93.3 -
92.9
94.1 - 93.7 |
96.5% | AIControl |
2 | #17 DJR Team Penske FG-X (V8 Supercars) | 00:48.0262 | 15.9916 | 15.9705 | 16.0641 | F:1,Dunlop Soft - R:1,Dunlop Soft |
91.0 -
89.4
91.8 - 90.6 |
93.7% | AIControl |
3 | #17 DJR Team Penske FG-X (V8 Supercars) | 00:51.4953 | 16.0719 | 16.0072 | 19.4163 | F:1,Dunlop Soft - R:1,Dunlop Soft |
88.6 -
85.9
89.4 - 87.5 |
91.4% | AIControl |
4 | #17 DJR Team Penske FG-X (V8 Supercars) | 01:09.6344 | 16.1897 | 16.0243 | 37.4204 | F:1,Dunlop Soft - R:1,Dunlop Soft |
84.3 -
79.6
86.3 - 81.6 |
89% | AIControl |
Average | 00:54.6441 | 16.4297 | 15.9878 | 22.2266 | |||||
Best possible | 00:47.9461 | 15.9916 | 15.9491 | 16.0054 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.0215 | |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 00:48.0262 | 0.0047 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.0781 | 0.0566 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.0798 | 0.0583 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.1405 | 0.119 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.1508 | 0.1293 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.1929 | 0.1714 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.2253 | 0.2038 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.2559 | 0.2344 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.2843 | 0.2628 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.2968 | 0.2753 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.3695 | 0.348 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.3943 | 0.3728 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.4390 | 0.4175 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.5620 | 0.5405 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.5740 | 0.5525 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.6672 | 0.6457 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.8601 | 0.8386 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:49.1882 | 1.1667 |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:49.3446 | 1.3231 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 00:48.0215 | |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 00:48.0262 | 0.0047 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Cameron W (AI) | #6 Monster Energy FG-X - Prodrive Racing Australia (V8 Supercars) | 89.30% <> 5.1377 |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Cameron W (AI) | 15.9878 | - |
Scott P (AI) | 15.9916 | 0.0038 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Cameron W (AI) | 15.9243 | - |
Scott P (AI) | 15.9491 | 0.0248 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Scott P (AI) | 16.0054 | - |
Cameron W (AI) | 16.0115 | 0.0061 |
Date | Incident |
---|---|
17:20:50 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
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