Game | rFactor 2 (1.1109) |
Session | Race |
Class | 2016 Chevrolet SS |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Kasey K (AI) |
Led most laps | Kasey K (AI) |
Best lap | Kasey K (AI) (01:49.9729) |
Max minutes | 60 |
Lasted laps | 16 |
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, 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 | ▴ 15 | 5 | Kasey K (AI) | # 5 Chevrolet SS - 2016 Chevrolet SS | 16 | 01:01:31.5918 | 01:49.9729 | 91.83% | 0 | 0 | AIControl |
2 | ▴ 7 | 1 | Jamie M (AI) | # 1 Chevrolet SS - 2016 Chevrolet SS | 16 | +00:00:00.9866 | 01:50.0303 | 88.21% | 0 | 0 | AIControl |
3 | ▴ 19 | 4 | Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 16 | +00:00:02.0513 | 01:50.9329 | 95.79% | 0 | 1 | AIControl |
4 | ▴ 11 | 27 | Paul M (AI) | #27 Chevrolet SS - 2016 Chevrolet SS | 16 | +00:00:04.2747 | 01:51.6584 | - | 0 | 2 | AIControl |
5 | ▴ 14 | 24 | Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 15 | +1 lap | 02:07.0872 | 90.61% | 0 | 2 | AIControl |
6 | ▴ 20 | 47 | AJ A (AI) | #47 Chevrolet SS - 2016 Chevrolet SS | 3 | Accident | 02:50.8139 | - | 0 | 0 | AIControl |
7 | ▴ 6 | 48 | Jimmie J (AI) | #48 Chevrolet SS - 2016 Chevrolet SS | 3 | Engine | 02:04.5255 | - | 0 | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | # 5 Chevrolet SS - 2016 Chevrolet SS | 02:10.8235 | 41.5853 | 41.2827 | 47.9555 | F:0,Road Course - R:0,Road Course |
98.0 -
98.0
98.4 - 98.4 |
94.5% | AIControl |
2 | # 5 Chevrolet SS - 2016 Chevrolet SS | 05:25.5903 | 39.7669 | 142.4648 | 143.3586 | F:0,Road Course - R:0,Road Course |
95.3 -
94.9
95.7 - 95.7 |
91.4% | AIControl |
3 | # 5 Chevrolet SS - 2016 Chevrolet SS | 05:16.5075 | 78.3627 | 106.7402 | 131.4045 | F:0,Road Course - R:0,Road Course |
92.2 -
92.2
93.3 - 93.3 |
89.4% | AIControl |
4 | # 5 Chevrolet SS - 2016 Chevrolet SS | 03:51.5895 | 78.2290 | 102.6723 | 50.6882 | F:0,Road Course - R:0,Road Course |
89.8 -
89.4
91.0 - 91.0 |
86.3% | AIControl |
5 | # 5 Chevrolet SS - 2016 Chevrolet SS | 02:01.5402 | 27.5583 | 37.2225 | 56.7594 | F:0,Road Course - R:0,Road Course |
88.2 -
87.8
89.4 - 89.4 |
80.8% | AIControl |
6 | # 5 Chevrolet SS - 2016 Chevrolet SS | 05:08.5299 | 71.0007 | 103.8005 | 133.7286 | F:0,Road Course - R:0,Road Course |
85.1 -
84.7
87.1 - 87.1 |
78.4% | AIControl |
7 | # 5 Chevrolet SS - 2016 Chevrolet SS | 05:12.7206 | 78.6138 | 104.0874 | 130.0194 | F:0,Road Course - R:0,Road Course |
82.4 -
81.6
84.3 - 84.3 |
76.1% | AIControl |
8 | # 5 Chevrolet SS - 2016 Chevrolet SS | 02:31.7820 | 53.6646 | 44.0677 | 54.0497 | F:0,Road Course - R:0,Road Course |
80.8 -
80.0
82.7 - 82.7 |
71.4% | AIControl |
9 | # 5 Chevrolet SS - 2016 Chevrolet SS | 03:48.0886 | 37.9054 | 74.3259 | 115.8573 | F:0,Road Course - R:0,Road Course |
78.4 -
77.3
80.8 - 80.8 |
68.6% | AIControl |
10 | # 5 Chevrolet SS - 2016 Chevrolet SS | 04:37.0679 | 70.2034 | 91.3213 | 115.5432 | F:0,Road Course - R:0,Road Course |
75.7 -
74.5
78.4 - 78.4 |
66.3% | AIControl |
11 | # 5 Chevrolet SS - 2016 Chevrolet SS | 04:29.1230 | 70.2939 | 91.4648 | 107.3643 | F:0,Road Course - R:0,Road Course |
72.9 -
71.8
76.1 - 76.1 |
63.5% | AIControl |
12 | # 5 Chevrolet SS - 2016 Chevrolet SS | 01:56.3772 | 28.0618 | 35.6328 | 52.6826 | F:0,Road Course - R:0,Road Course |
71.4 -
70.2
74.5 - 74.5 |
58.4% | AIControl |
13 | # 5 Chevrolet SS - 2016 Chevrolet SS | 04:06.1208 | 41.5359 | 88.5808 | 116.0042 | F:0,Road Course - R:0,Road Course |
69.0 -
67.8
72.5 - 72.5 |
55.7% | AIControl |
14 | # 5 Chevrolet SS - 2016 Chevrolet SS | 04:37.6338 | 70.0608 | 91.5571 | 116.0159 | F:0,Road Course - R:0,Road Course |
66.7 -
65.1
70.2 - 70.2 |
53.3% | AIControl |
15 | # 5 Chevrolet SS - 2016 Chevrolet SS | 04:28.1240 | 70.1995 | 91.7791 | 106.1455 | F:0,Road Course - R:0,Road Course |
63.9 -
62.4
67.8 - 67.8 |
51% | AIControl |
16 | # 5 Chevrolet SS - 2016 Chevrolet SS | 01:49.9729 | 27.9939 | 33.9812 | 47.9978 | F:0,Road Course - R:0,Road Course |
62.4 -
60.4
66.3 - 66.3 |
45.5% | AIControl |
Average | 03:50.7244 | 55.3147 | 80.0613 | 95.3484 | |||||
Best possible | 01:49.4950 | 27.5583 | 33.9812 | 47.9555 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | # 1 Chevrolet SS - 2016 Chevrolet SS | 02:01.1910 | 37.9713 | 34.4221 | 48.7976 | F:0,Road Course - R:0,Road Course |
98.0 -
98.0
98.4 - 98.4 |
94.1% | AIControl |
2 | # 1 Chevrolet SS - 2016 Chevrolet SS | 05:47.2467 | 47.0245 | 171.4314 | 128.7907 | F:0,Road Course - R:0,Road Course |
95.3 -
94.9
96.1 - 96.1 |
89.4% | AIControl |
3 | # 1 Chevrolet SS - 2016 Chevrolet SS | 05:22.7799 | 78.3718 | 123.9180 | 120.4901 | F:0,Road Course - R:0,Road Course |
92.2 -
91.8
93.3 - 93.3 |
85.5% | AIControl |
4 | # 1 Chevrolet SS - 2016 Chevrolet SS | 03:43.3326 | 78.0445 | 92.0759 | 53.2123 | F:0,Road Course - R:0,Road Course |
89.8 -
89.0
91.0 - 91.0 |
80.8% | AIControl |
5 | # 1 Chevrolet SS - 2016 Chevrolet SS | 02:03.7029 | 31.5453 | 38.2124 | 53.9452 | F:0,Road Course - R:0,Road Course |
88.2 -
87.5
89.8 - 89.8 |
75.7% | AIControl |
6 | # 1 Chevrolet SS - 2016 Chevrolet SS | 05:09.5436 | 64.4209 | 104.0382 | 141.0845 | F:0,Road Course - R:0,Road Course |
85.5 -
84.3
87.1 - 87.1 |
72.9% | AIControl |
7 | # 1 Chevrolet SS - 2016 Chevrolet SS | 05:18.4807 | 78.3644 | 104.0536 | 136.0627 | F:0,Road Course - R:0,Road Course |
82.4 -
81.2
84.7 - 84.3 |
71% | AIControl |
8 | # 1 Chevrolet SS - 2016 Chevrolet SS | 02:16.2543 | 38.6627 | 40.7655 | 56.8260 | F:0,Road Course - R:0,Road Course |
80.8 -
79.2
83.1 - 83.1 |
65.5% | AIControl |
9 | # 1 Chevrolet SS - 2016 Chevrolet SS | 03:45.7308 | 38.7548 | 71.0758 | 115.9003 | F:0,Road Course - R:0,Road Course |
78.4 -
76.9
81.2 - 80.8 |
62.7% | AIControl |
10 | # 1 Chevrolet SS - 2016 Chevrolet SS | 04:37.0872 | 70.1687 | 91.5400 | 115.3784 | F:0,Road Course - R:0,Road Course |
75.7 -
74.1
78.8 - 78.4 |
60% | AIControl |
11 | # 1 Chevrolet SS - 2016 Chevrolet SS | 04:30.0625 | 70.2722 | 91.5410 | 108.2493 | F:0,Road Course - R:0,Road Course |
73.3 -
71.4
76.5 - 76.1 |
57.3% | AIControl |
12 | # 1 Chevrolet SS - 2016 Chevrolet SS | 02:02.2979 | 27.2209 | 42.5605 | 52.5164 | F:0,Road Course - R:0,Road Course |
71.4 -
69.4
74.9 - 74.5 |
51.8% | AIControl |
13 | # 1 Chevrolet SS - 2016 Chevrolet SS | 03:59.3469 | 38.6602 | 84.7280 | 115.9587 | F:0,Road Course - R:0,Road Course |
69.0 -
66.7
72.5 - 72.5 |
49.4% | AIControl |
14 | # 1 Chevrolet SS - 2016 Chevrolet SS | 04:37.5974 | 70.0830 | 91.5432 | 115.9712 | F:0,Road Course - R:0,Road Course |
66.3 -
63.9
70.2 - 70.2 |
46.7% | AIControl |
15 | # 1 Chevrolet SS - 2016 Chevrolet SS | 04:27.8938 | 70.1672 | 91.8086 | 105.9180 | F:0,Road Course - R:0,Road Course |
63.9 -
61.2
68.2 - 67.8 |
43.9% | AIControl |
16 | # 1 Chevrolet SS - 2016 Chevrolet SS | 01:50.0303 | 28.0771 | 33.7732 | 48.1799 | F:0,Road Course - R:0,Road Course |
62.0 -
59.2
66.7 - 66.3 |
38.8% | AIControl |
Average | 03:50.7862 | 54.2381 | 81.7180 | 94.8301 | |||||
Best possible | 01:49.1740 | 27.2209 | 33.7732 | 48.1799 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | # 4 Chevrolet SS - 2016 Chevrolet SS | 02:29.2229 | 44.9192 | 55.3543 | 48.9495 | F:0,Road Course - R:0,Road Course |
98.0 -
98.0
98.4 - 98.4 |
94.1% | AIControl |
2 (P: 64.5031) | # 4 Chevrolet SS - 2016 Chevrolet SS | 08:54.5672 | 38.6503 | 333.0821 | 162.8348 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
3 | # 4 Chevrolet SS - 2016 Chevrolet SS | 04:32.0004 | 41.9528 | 100.3463 | 129.7012 | F:0,Road Course - R:0,Road Course |
96.9 -
96.5
97.3 - 97.3 |
95.3% | AIControl |
4 | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:50.9329 | 27.9330 | 33.7181 | 49.2817 | F:0,Road Course - R:0,Road Course |
95.3 -
94.5
95.7 - 95.7 |
90.2% | AIControl |
5 | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:54.9158 | 26.8901 | 33.7913 | 54.2344 | F:0,Road Course - R:0,Road Course |
93.7 -
92.9
94.5 - 94.5 |
85.1% | AIControl |
6 | # 4 Chevrolet SS - 2016 Chevrolet SS | 04:32.0244 | 42.1083 | 89.1476 | 140.7686 | F:0,Road Course - R:0,Road Course |
91.0 -
89.8
92.2 - 92.2 |
81.6% | AIControl |
7 | # 4 Chevrolet SS - 2016 Chevrolet SS | 05:15.8577 | 78.2849 | 103.9545 | 133.6183 | F:0,Road Course - R:0,Road Course |
88.2 -
87.1
89.4 - 89.4 |
79.6% | AIControl |
8 | # 4 Chevrolet SS - 2016 Chevrolet SS | 02:15.2474 | 37.5859 | 39.5559 | 58.1056 | F:0,Road Course - R:0,Road Course |
86.7 -
85.1
87.8 - 87.8 |
74.1% | AIControl |
9 | # 4 Chevrolet SS - 2016 Chevrolet SS | 03:44.0265 | 38.8890 | 69.3649 | 115.7726 | F:0,Road Course - R:0,Road Course |
84.3 -
82.7
85.9 - 85.9 |
71.4% | AIControl |
10 | # 4 Chevrolet SS - 2016 Chevrolet SS | 04:37.1262 | 70.1960 | 91.6467 | 115.2834 | F:0,Road Course - R:0,Road Course |
81.6 -
80.0
83.5 - 83.5 |
68.6% | AIControl |
11 | # 4 Chevrolet SS - 2016 Chevrolet SS | 04:30.4810 | 70.2878 | 91.5645 | 108.6287 | F:0,Road Course - R:0,Road Course |
78.8 -
77.3
81.2 - 81.2 |
65.9% | AIControl |
12 | # 4 Chevrolet SS - 2016 Chevrolet SS | 02:00.1948 | 29.2566 | 38.6538 | 52.2844 | F:0,Road Course - R:0,Road Course |
77.3 -
75.3
80.0 - 79.6 |
60.8% | AIControl |
13 | # 4 Chevrolet SS - 2016 Chevrolet SS | 03:59.8860 | 38.0291 | 85.7959 | 116.0610 | F:0,Road Course - R:0,Road Course |
74.9 -
72.9
77.6 - 77.6 |
58% | AIControl |
14 | # 4 Chevrolet SS - 2016 Chevrolet SS | 04:37.5747 | 70.0344 | 91.5642 | 115.9761 | F:0,Road Course - R:0,Road Course |
72.5 -
70.2
75.3 - 75.3 |
55.7% | AIControl |
15 | # 4 Chevrolet SS - 2016 Chevrolet SS | 04:27.8911 | 70.2231 | 91.8091 | 105.8589 | F:0,Road Course - R:0,Road Course |
69.8 -
67.5
72.9 - 72.9 |
52.9% | AIControl |
16 | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:51.6941 | 28.6472 | 35.2385 | 47.8083 | F:0,Road Course - R:0,Road Course |
67.8 -
65.5
71.8 - 71.4 |
47.5% | AIControl |
Average | 03:50.8527 | 47.1180 | 86.5367 | 97.1980 | |||||
Best possible | 01:48.4165 | 26.8901 | 33.7181 | 47.8083 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #27 Chevrolet SS - 2016 Chevrolet SS | 02:14.6573 | 40.8941 | 45.8425 | 47.9206 | F:0,Road Course - R:0,Road Course |
98.0 -
98.0
98.4 - 98.4 |
94.1% | AIControl |
2 | #27 Chevrolet SS - 2016 Chevrolet SS | 06:39.0541 | 38.3434 | 199.7789 | 160.9318 | F:0,Road Course - R:0,Road Course |
94.9 -
94.1
95.3 - 95.3 |
88.2% | AIControl |
3 (P: 72.0797) | #27 Chevrolet SS - 2016 Chevrolet SS | 05:33.9977 | 78.6035 | 111.8845 | 143.5098 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | #27 Chevrolet SS - 2016 Chevrolet SS | 02:55.1628 | 69.6462 | 52.2634 | 53.2532 | F:0,Road Course - R:0,Road Course |
97.6 -
97.3
98.0 - 98.0 |
95.7% | AIControl |
5 | #27 Chevrolet SS - 2016 Chevrolet SS | 02:15.4572 | 33.5547 | 42.6052 | 59.2972 | F:0,Road Course - R:0,Road Course |
96.5 -
95.7
96.5 - 96.5 |
90.6% | AIControl |
6 (P: 82.6629) | #27 Chevrolet SS - 2016 Chevrolet SS | 04:46.6528 | 40.2736 | 91.9604 | 154.4188 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
7 | #27 Chevrolet SS - 2016 Chevrolet SS | 05:06.2283 | 69.3204 | 103.9734 | 132.9344 | F:0,Road Course - R:0,Road Course |
96.9 -
96.9
97.3 - 97.3 |
96.9% | AIControl |
8 | #27 Chevrolet SS - 2016 Chevrolet SS | 02:16.0021 | 36.9594 | 40.2574 | 58.7853 | F:0,Road Course - R:0,Road Course |
95.3 -
94.9
95.7 - 95.7 |
91.4% | AIControl |
9 | #27 Chevrolet SS - 2016 Chevrolet SS | 03:43.2550 | 39.5538 | 68.3809 | 115.3203 | F:0,Road Course - R:0,Road Course |
92.9 -
92.5
93.7 - 93.7 |
88.6% | AIControl |
10 | #27 Chevrolet SS - 2016 Chevrolet SS | 04:36.3958 | 70.1836 | 91.7786 | 114.4336 | F:0,Road Course - R:0,Road Course |
90.2 -
89.4
91.4 - 91.4 |
85.9% | AIControl |
11 | #27 Chevrolet SS - 2016 Chevrolet SS | 04:28.8184 | 69.8918 | 91.6284 | 107.2981 | F:0,Road Course - R:0,Road Course |
87.8 -
87.1
89.0 - 89.0 |
83.1% | AIControl |
12 | #27 Chevrolet SS - 2016 Chevrolet SS | 02:03.7017 | 29.7803 | 42.4817 | 51.4397 | F:0,Road Course - R:0,Road Course |
85.9 -
84.7
87.5 - 87.5 |
77.6% | AIControl |
13 | #27 Chevrolet SS - 2016 Chevrolet SS | 03:58.7690 | 39.4875 | 83.3857 | 115.8958 | F:0,Road Course - R:0,Road Course |
83.5 -
82.0
85.5 - 85.1 |
75.3% | AIControl |
14 | #27 Chevrolet SS - 2016 Chevrolet SS | 04:37.7244 | 70.1313 | 91.5271 | 116.0659 | F:0,Road Course - R:0,Road Course |
80.8 -
79.2
83.1 - 82.7 |
72.5% | AIControl |
15 | #27 Chevrolet SS - 2016 Chevrolet SS | 04:28.3315 | 70.0786 | 91.7969 | 106.4561 | F:0,Road Course - R:0,Road Course |
78.4 -
76.9
80.8 - 80.4 |
69.4% | AIControl |
16 | #27 Chevrolet SS - 2016 Chevrolet SS | 01:51.6584 | 29.3420 | 34.3577 | 47.9587 | F:0,Road Course - R:0,Road Course |
76.5 -
74.5
79.2 - 78.8 |
64.3% | AIControl |
Average | 03:50.9917 | 51.6278 | 80.2439 | 99.1200 | |||||
Best possible | 01:51.6203 | 29.3420 | 34.3577 | 47.9206 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #24 Chevrolet SS - 2016 Chevrolet SS | 02:30.1860 | 42.9461 | 57.3326 | 49.9073 | F:0,Road Course - R:0,Road Course |
98.0 -
98.0
98.4 - 98.4 |
93.7% | AIControl |
2 | #24 Chevrolet SS - 2016 Chevrolet SS | 06:05.6139 | 39.1408 | 176.6148 | 149.8583 | F:0,Road Course - R:0,Road Course |
94.9 -
94.9
95.7 - 95.7 |
90.2% | AIControl |
3 | #24 Chevrolet SS - 2016 Chevrolet SS | 04:54.8938 | 78.2891 | 98.9897 | 117.6149 | F:0,Road Course - R:0,Road Course |
92.2 -
91.8
93.3 - 93.3 |
87.1% | AIControl |
4 (P: -39.9158) | #24 Chevrolet SS - 2016 Chevrolet SS | 03:54.0636 | 59.1360 | 92.7401 | 82.1876 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
5 | #24 Chevrolet SS - 2016 Chevrolet SS | 02:13.9277 | 31.9231 | 42.5497 | 59.4550 | F:0,Road Course - R:0,Road Course |
98.4 -
98.0
98.4 - 98.4 |
94.5% | AIControl |
6 | #24 Chevrolet SS - 2016 Chevrolet SS | 05:03.0854 | 40.5701 | 91.9116 | 170.6038 | F:0,Road Course - R:0,Road Course |
95.3 -
94.9
95.7 - 95.7 |
90.2% | AIControl |
7 | #24 Chevrolet SS - 2016 Chevrolet SS | 05:02.1160 | 78.4414 | 105.8187 | 117.8558 | F:0,Road Course - R:0,Road Course |
92.5 -
92.2
93.3 - 93.3 |
88.2% | AIControl |
8 | #24 Chevrolet SS - 2016 Chevrolet SS | 02:24.1205 | 27.5018 | 62.8793 | 53.7394 | F:0,Road Course - R:0,Road Course |
90.6 -
90.2
91.8 - 91.4 |
82.7% | AIControl |
9 | #24 Chevrolet SS - 2016 Chevrolet SS | 03:26.1332 | 41.2561 | 50.3680 | 114.5090 | F:0,Road Course - R:0,Road Course |
88.6 -
87.8
89.8 - 89.8 |
80% | AIControl |
10 | #24 Chevrolet SS - 2016 Chevrolet SS | 04:35.9580 | 70.2996 | 91.3293 | 114.3291 | F:0,Road Course - R:0,Road Course |
85.9 -
85.1
87.5 - 87.5 |
77.3% | AIControl |
11 | #24 Chevrolet SS - 2016 Chevrolet SS | 04:34.6040 | 70.0852 | 91.6736 | 112.8452 | F:0,Road Course - R:0,Road Course |
83.1 -
82.4
85.1 - 84.7 |
74.1% | AIControl |
12 | #24 Chevrolet SS - 2016 Chevrolet SS | 02:07.0872 | 29.0669 | 44.5818 | 53.4385 | F:0,Road Course - R:0,Road Course |
81.6 -
80.0
83.5 - 83.5 |
69% | AIControl |
13 | #24 Chevrolet SS - 2016 Chevrolet SS | 03:49.2695 | 40.0339 | 73.2854 | 115.9502 | F:0,Road Course - R:0,Road Course |
79.2 -
77.6
81.6 - 81.6 |
66.3% | AIControl |
14 (P: 62.1993) | #24 Chevrolet SS - 2016 Chevrolet SS | 04:59.0583 | 70.0901 | 91.5854 | 137.3828 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
15 | #24 Chevrolet SS - 2016 Chevrolet SS | 04:27.3049 | 78.8430 | 103.0818 | 85.3801 | F:0,Road Course - R:0,Road Course |
97.3 -
97.3
97.6 - 97.6 |
96.9% | AIControl |
Average | 04:00.4948 | 53.1749 | 84.9828 | 102.3371 | |||||
Best possible | 01:59.9588 | 27.5018 | 42.5497 | 49.9073 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #47 Chevrolet SS - 2016 Chevrolet SS | 02:50.8139 | 47.6963 | 75.0945 | 48.0231 | F:0,Road Course - R:0,Road Course |
98.0 -
98.0
98.4 - 98.4 |
93.7% | AIControl |
2 | #47 Chevrolet SS - 2016 Chevrolet SS | 05:40.9266 | 39.2321 | 157.2127 | 144.4819 | F:0,Road Course - R:0,Road Course |
95.3 -
94.9
95.7 - 95.7 |
89.4% | AIControl |
3 | #47 Chevrolet SS - 2016 Chevrolet SS | 04:59.8673 | 77.9402 | 109.0170 | 112.9101 | F:0,Road Course - R:0,Road Course |
92.5 -
92.2
93.3 - 93.3 |
87.5% | AIControl |
Average | 04:30.5359 | 54.9562 | 113.7747 | 101.8050 | |||||
Best possible | 02:42.3497 | 39.2321 | 75.0945 | 48.0231 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #48 Chevrolet SS - 2016 Chevrolet SS | 02:04.5255 | 40.1868 | 35.5672 | 48.7714 | F:0,Road Course - R:0,Road Course |
98.0 -
98.0
98.4 - 98.4 |
94.1% | AIControl |
2 | #48 Chevrolet SS - 2016 Chevrolet SS | 06:49.7671 | 44.9378 | 259.7918 | 105.0375 | F:0,Road Course - R:0,Road Course |
95.3 -
94.5
94.1 - 94.9 |
87.8% | AIControl |
3 | #48 Chevrolet SS - 2016 Chevrolet SS | 04:53.5907 | 78.6100 | 96.2450 | 118.7357 | F:0,Road Course - R:0,Road Course |
92.2 -
91.4
91.4 - 92.2 |
83.1% | AIControl |
Average | 04:35.9611 | 54.5782 | 130.5347 | 90.8482 | |||||
Best possible | 02:04.5254 | 40.1868 | 35.5672 | 48.7714 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Kasey K (AI) | # 5 Chevrolet SS - 2016 Chevrolet SS | 01:49.9729 | |
Jamie M (AI) | # 1 Chevrolet SS - 2016 Chevrolet SS | 01:50.0303 | 0.0574 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:50.9329 | 0.96 |
Paul M (AI) | #27 Chevrolet SS - 2016 Chevrolet SS | 01:51.6584 | 1.6855 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:51.6941 | 1.7212 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:54.9158 | 4.9429 |
Kasey K (AI) | # 5 Chevrolet SS - 2016 Chevrolet SS | 01:56.3772 | 6.4043 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 02:00.1948 | 10.2219 |
Jamie M (AI) | # 1 Chevrolet SS - 2016 Chevrolet SS | 02:01.1910 | 11.2181 |
Kasey K (AI) | # 5 Chevrolet SS - 2016 Chevrolet SS | 02:01.5402 | 11.5673 |
Jamie M (AI) | # 1 Chevrolet SS - 2016 Chevrolet SS | 02:02.2979 | 12.325 |
Paul M (AI) | #27 Chevrolet SS - 2016 Chevrolet SS | 02:03.7017 | 13.7288 |
Jamie M (AI) | # 1 Chevrolet SS - 2016 Chevrolet SS | 02:03.7029 | 13.73 |
Jimmie J (AI) | #48 Chevrolet SS - 2016 Chevrolet SS | 02:04.5255 | 14.5526 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 02:07.0872 | 17.1143 |
Kasey K (AI) | # 5 Chevrolet SS - 2016 Chevrolet SS | 02:10.8235 | 20.8506 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 02:13.9277 | 23.9548 |
Paul M (AI) | #27 Chevrolet SS - 2016 Chevrolet SS | 02:14.6573 | 24.6844 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 02:15.2474 | 25.2745 |
Paul M (AI) | #27 Chevrolet SS - 2016 Chevrolet SS | 02:15.4572 | 25.4843 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Kasey K (AI) | # 5 Chevrolet SS - 2016 Chevrolet SS | 01:49.9729 | |
Jamie M (AI) | # 1 Chevrolet SS - 2016 Chevrolet SS | 01:50.0303 | 0.0574 |
Kevin H (AI) | # 4 Chevrolet SS - 2016 Chevrolet SS | 01:50.9329 | 0.96 |
Paul M (AI) | #27 Chevrolet SS - 2016 Chevrolet SS | 01:51.6584 | 1.6855 |
Jimmie J (AI) | #48 Chevrolet SS - 2016 Chevrolet SS | 02:04.5255 | 14.5526 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 02:07.0872 | 17.1143 |
AJ A (AI) | #47 Chevrolet SS - 2016 Chevrolet SS | 02:50.8139 | 60.841 |
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 | 95.79% <> 4.6687 |
Kasey K (AI) | # 5 Chevrolet SS - 2016 Chevrolet SS | 91.83% <> 8.9858 |
Chase E (AI) | #24 Chevrolet SS - 2016 Chevrolet SS | 90.61% <> 11.9369 |
Jamie M (AI) | # 1 Chevrolet SS - 2016 Chevrolet SS | 88.21% <> 12.9701 |
Paul M (AI) | #27 Chevrolet SS - 2016 Chevrolet SS | - |
AJ A (AI) | #47 Chevrolet SS - 2016 Chevrolet SS | - |
Jimmie J (AI) | #48 Chevrolet SS - 2016 Chevrolet SS | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Kevin H (AI) | 26.8901 | - |
Jamie M (AI) | 27.2209 | 0.3308 |
Chase E (AI) | 27.5018 | 0.6117 |
Kasey K (AI) | 27.5583 | 0.6682 |
Paul M (AI) | 29.3420 | 2.4519 |
AJ A (AI) | 39.2321 | 12.3420 |
Jimmie J (AI) | 40.1868 | 13.2967 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Kevin H (AI) | 33.7181 | - |
Jamie M (AI) | 33.7732 | 0.0551 |
Kasey K (AI) | 33.9812 | 0.2631 |
Paul M (AI) | 34.3577 | 0.6396 |
Jimmie J (AI) | 35.5672 | 1.8491 |
Chase E (AI) | 42.5497 | 8.8316 |
AJ A (AI) | 75.0945 | 41.3764 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Kevin H (AI) | 47.8083 | - |
Paul M (AI) | 47.9206 | 0.1123 |
Kasey K (AI) | 47.9555 | 0.1472 |
AJ A (AI) | 48.0231 | 0.2148 |
Jamie M (AI) | 48.1799 | 0.3716 |
Jimmie J (AI) | 48.7714 | 0.9631 |
Chase E (AI) | 49.9073 | 2.0990 |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Joey L (AI) |
Led most laps | Joey L (AI) |
Best lap | Joey L (AI) (01:59.4539) |
Max minutes | 60 |
Lasted laps | 16 |
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, 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 | 22 | Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 16 | 01:01:50.7122 | 01:59.4539 | 90.37% | 0 | 1 | AIControl |
2 | ▴ 12 | 2 | Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 16 | +00:00:12.3671 | 02:01.7112 | 93.02% | 0 | 3 | AIControl |
3 | ▴ 17 | 34 | Chris B (AI) | #34 Ford Fusion - 2016 Ford Fusion | 15 | +1 lap | 02:03.9255 | 91.92% | 0 | 1 | AIControl |
4 | ▴ 21 | 16 | Greg B | #16 Ford Fusion - 2016 Ford Fusion | 0 | DNF | - | - | 0 | 0 | - |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #22 Ford Fusion - 2016 Ford Fusion | 02:02.5278 | 39.4387 | 35.2232 | 47.8659 | F:0,Road Course - R:0,Road Course |
98.4 -
98.0
98.4 - 98.4 |
94.5% | AIControl |
2 | #22 Ford Fusion - 2016 Ford Fusion | 05:43.7827 | 46.2668 | 136.2883 | 161.2276 | F:0,Road Course - R:0,Road Course |
94.9 -
94.5
95.7 - 95.7 |
91% | AIControl |
3 | #22 Ford Fusion - 2016 Ford Fusion | 05:24.3398 | 78.3181 | 114.4620 | 131.5596 | F:0,Road Course - R:0,Road Course |
92.2 -
91.4
92.9 - 92.9 |
89% | AIControl |
4 | #22 Ford Fusion - 2016 Ford Fusion | 03:42.8304 | 78.0438 | 91.4063 | 53.3804 | F:0,Road Course - R:0,Road Course |
89.4 -
89.0
90.6 - 90.6 |
85.1% | AIControl |
5 | #22 Ford Fusion - 2016 Ford Fusion | 02:03.9489 | 32.4363 | 38.2322 | 53.2804 | F:0,Road Course - R:0,Road Course |
88.2 -
87.1
89.4 - 89.4 |
80.4% | AIControl |
6 | #22 Ford Fusion - 2016 Ford Fusion | 05:14.1870 | 64.5330 | 104.0193 | 145.6348 | F:0,Road Course - R:0,Road Course |
85.1 -
83.9
86.7 - 86.7 |
76.9% | AIControl |
7 | #22 Ford Fusion - 2016 Ford Fusion | 05:16.0353 | 78.3854 | 103.9291 | 133.7208 | F:0,Road Course - R:0,Road Course |
82.0 -
80.8
83.9 - 83.9 |
74.9% | AIControl |
8 | #22 Ford Fusion - 2016 Ford Fusion | 02:17.9534 | 37.9951 | 41.3470 | 58.6112 | F:0,Road Course - R:0,Road Course |
80.4 -
79.2
82.4 - 82.4 |
69.4% | AIControl |
9 | #22 Ford Fusion - 2016 Ford Fusion | 03:43.7488 | 39.1156 | 69.0305 | 115.6027 | F:0,Road Course - R:0,Road Course |
78.0 -
76.5
80.4 - 80.4 |
66.7% | AIControl |
10 (P: 62.4921) | #22 Ford Fusion - 2016 Ford Fusion | 05:00.8577 | 70.1633 | 91.7861 | 138.9082 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
11 | #22 Ford Fusion - 2016 Ford Fusion | 04:24.3118 | 73.1768 | 103.7856 | 87.3494 | F:0,Road Course - R:0,Road Course |
97.3 -
97.3
97.6 - 97.6 |
96.9% | AIControl |
12 | #22 Ford Fusion - 2016 Ford Fusion | 02:10.9556 | 27.1843 | 43.4663 | 60.3049 | F:0,Road Course - R:0,Road Course |
95.7 -
95.3
96.1 - 96.1 |
92.2% | AIControl |
13 | #22 Ford Fusion - 2016 Ford Fusion | 03:39.2417 | 42.3926 | 60.6951 | 116.1541 | F:0,Road Course - R:0,Road Course |
93.3 -
92.9
94.1 - 94.1 |
89.4% | AIControl |
14 | #22 Ford Fusion - 2016 Ford Fusion | 04:36.7742 | 69.8792 | 91.5466 | 115.3484 | F:0,Road Course - R:0,Road Course |
90.6 -
90.2
91.8 - 91.8 |
86.7% | AIControl |
15 | #22 Ford Fusion - 2016 Ford Fusion | 04:29.7634 | 70.0254 | 91.8105 | 107.9275 | F:0,Road Course - R:0,Road Course |
88.2 -
87.5
89.4 - 89.4 |
83.5% | AIControl |
16 | #22 Ford Fusion - 2016 Ford Fusion | 01:59.4539 | 28.2913 | 37.7046 | 53.4580 | F:0,Road Course - R:0,Road Course |
86.3 -
85.1
87.8 - 87.5 |
78% | AIControl |
Average | 03:51.9196 | 54.7279 | 78.4208 | 98.7709 | |||||
Best possible | 01:50.2734 | 27.1843 | 35.2232 | 47.8659 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | # 2 Ford Fusion - 2016 Ford Fusion | 02:28.0341 | 40.1722 | 59.9728 | 47.8891 | F:0,Road Course - R:0,Road Course |
98.0 -
97.6
98.0 - 98.0 |
93.7% | AIControl |
2 | # 2 Ford Fusion - 2016 Ford Fusion | 05:20.9820 | 37.5813 | 128.6468 | 154.7539 | F:0,Road Course - R:0,Road Course |
94.9 -
94.5
95.7 - 95.7 |
90.2% | AIControl |
3 (P: 57.8748) | # 2 Ford Fusion - 2016 Ford Fusion | 05:58.1458 | 78.3795 | 129.0051 | 150.7612 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | # 2 Ford Fusion - 2016 Ford Fusion | 03:10.8925 | 46.3459 | 90.6337 | 53.9128 | F:0,Road Course - R:0,Road Course |
97.6 -
97.6
98.0 - 98.0 |
94.9% | AIControl |
5 | # 2 Ford Fusion - 2016 Ford Fusion | 02:01.7112 | 28.3271 | 38.0935 | 55.2905 | F:0,Road Course - R:0,Road Course |
95.7 -
95.7
96.5 - 96.5 |
89.8% | AIControl |
6 (P: 86.3275) | # 2 Ford Fusion - 2016 Ford Fusion | 05:23.3752 | 64.2616 | 104.0497 | 155.0640 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
7 | # 2 Ford Fusion - 2016 Ford Fusion | 05:06.2209 | 70.4958 | 103.9589 | 131.7662 | F:0,Road Course - R:0,Road Course |
96.5 -
96.5
96.9 - 96.9 |
94.5% | AIControl |
8 (P: 9.2877) | # 2 Ford Fusion - 2016 Ford Fusion | 02:59.8722 | 37.5027 | 58.8153 | 83.5542 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
9 | # 2 Ford Fusion - 2016 Ford Fusion | 04:36.7843 | 64.9658 | 94.8356 | 116.9829 | F:0,Road Course - R:0,Road Course |
97.3 -
97.3
97.6 - 97.6 |
96.1% | AIControl |
10 | # 2 Ford Fusion - 2016 Ford Fusion | 04:16.8020 | 70.1687 | 96.9878 | 89.6455 | F:0,Road Course - R:0,Road Course |
94.9 -
94.5
95.3 - 95.3 |
92.2% | AIControl |
11 | # 2 Ford Fusion - 2016 Ford Fusion | 03:37.9609 | 39.1245 | 87.1958 | 91.6406 | F:0,Road Course - R:0,Road Course |
92.5 -
91.8
93.3 - 93.3 |
89% | AIControl |
12 | # 2 Ford Fusion - 2016 Ford Fusion | 02:10.5007 | 27.7996 | 54.9285 | 47.7727 | F:0,Road Course - R:0,Road Course |
90.6 -
89.8
91.8 - 91.8 |
83.5% | AIControl |
13 | # 2 Ford Fusion - 2016 Ford Fusion | 03:34.0601 | 39.7114 | 58.1213 | 116.2273 | F:0,Road Course - R:0,Road Course |
88.2 -
87.5
89.8 - 89.8 |
80.4% | AIControl |
14 | # 2 Ford Fusion - 2016 Ford Fusion | 04:36.7397 | 69.7581 | 91.6218 | 115.3599 | F:0,Road Course - R:0,Road Course |
85.5 -
84.7
87.5 - 87.5 |
78% | AIControl |
15 | # 2 Ford Fusion - 2016 Ford Fusion | 04:31.0872 | 69.9861 | 91.8721 | 109.2290 | F:0,Road Course - R:0,Road Course |
83.1 -
82.0
84.7 - 85.1 |
74.9% | AIControl |
16 | # 2 Ford Fusion - 2016 Ford Fusion | 02:09.9104 | 27.7173 | 53.1338 | 49.0593 | F:0,Road Course - R:0,Road Course |
80.8 -
79.6
83.1 - 83.1 |
69.4% | AIControl |
Average | 03:52.6924 | 50.7686 | 83.8670 | 98.0568 | |||||
Best possible | 01:53.5835 | 27.7173 | 38.0935 | 47.7727 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #34 Ford Fusion - 2016 Ford Fusion | 02:15.7149 | 44.2882 | 43.1289 | 48.2978 | F:0,Road Course - R:0,Road Course |
98.0 -
98.0
98.4 - 98.4 |
94.1% | AIControl |
2 | #34 Ford Fusion - 2016 Ford Fusion | 05:31.5876 | 38.7065 | 155.6880 | 137.1931 | F:0,Road Course - R:0,Road Course |
95.3 -
94.9
95.7 - 95.7 |
91% | AIControl |
3 | #34 Ford Fusion - 2016 Ford Fusion | 05:20.5804 | 78.3713 | 110.2729 | 131.9362 | F:0,Road Course - R:0,Road Course |
92.2 -
91.8
92.9 - 92.9 |
89% | AIControl |
4 | #34 Ford Fusion - 2016 Ford Fusion | 03:42.4485 | 76.4332 | 95.1712 | 50.8441 | F:0,Road Course - R:0,Road Course |
89.8 -
89.0
91.0 - 90.6 |
84.7% | AIControl |
5 | #34 Ford Fusion - 2016 Ford Fusion | 02:03.9255 | 32.4116 | 38.2367 | 53.2772 | F:0,Road Course - R:0,Road Course |
88.6 -
87.5
89.8 - 89.4 |
80% | AIControl |
6 | #34 Ford Fusion - 2016 Ford Fusion | 05:19.9852 | 66.6034 | 103.9329 | 149.4490 | F:0,Road Course - R:0,Road Course |
85.5 -
83.9
86.7 - 86.7 |
76.9% | AIControl |
7 | #34 Ford Fusion - 2016 Ford Fusion | 05:15.8463 | 78.2798 | 103.9504 | 133.6161 | F:0,Road Course - R:0,Road Course |
82.7 -
80.8
84.3 - 83.9 |
72.9% | AIControl |
8 | #34 Ford Fusion - 2016 Ford Fusion | 02:16.3368 | 37.2419 | 40.0048 | 59.0901 | F:0,Road Course - R:0,Road Course |
80.8 -
79.2
82.7 - 82.4 |
67.8% | AIControl |
9 | #34 Ford Fusion - 2016 Ford Fusion | 03:43.5071 | 39.4067 | 68.6298 | 115.4706 | F:0,Road Course - R:0,Road Course |
78.4 -
76.5
80.8 - 80.4 |
65.1% | AIControl |
10 (P: 58.0565) | #34 Ford Fusion - 2016 Ford Fusion | 04:57.4294 | 70.1296 | 91.8215 | 135.4783 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
11 | #34 Ford Fusion - 2016 Ford Fusion | 04:26.2986 | 75.4387 | 103.8030 | 87.0569 | F:0,Road Course - R:0,Road Course |
97.3 -
97.3
97.6 - 97.6 |
96.9% | AIControl |
12 | #34 Ford Fusion - 2016 Ford Fusion | 02:11.5315 | 27.2678 | 44.0630 | 60.2007 | F:0,Road Course - R:0,Road Course |
95.7 -
95.7
96.5 - 96.5 |
92.5% | AIControl |
13 | #34 Ford Fusion - 2016 Ford Fusion | 03:38.8513 | 41.9690 | 60.8689 | 116.0134 | F:0,Road Course - R:0,Road Course |
93.7 -
93.3
94.5 - 94.5 |
89.8% | AIControl |
14 | #34 Ford Fusion - 2016 Ford Fusion | 04:36.8748 | 70.0508 | 91.4460 | 115.3779 | F:0,Road Course - R:0,Road Course |
91.0 -
90.6
92.2 - 92.2 |
87.1% | AIControl |
15 | #34 Ford Fusion - 2016 Ford Fusion | 04:32.9475 | 69.9934 | 91.8833 | 111.0708 | F:0,Road Course - R:0,Road Course |
88.6 -
87.8
89.8 - 89.8 |
83.9% | AIControl |
Average | 03:59.5911 | 56.4395 | 82.8601 | 100.2915 | |||||
Best possible | 01:53.8023 | 27.2678 | 38.2367 | 48.2978 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No laps for this driver |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 01:59.4539 | |
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 02:01.7112 | 2.2573 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 02:02.5278 | 3.0739 |
Chris B (AI) | #34 Ford Fusion - 2016 Ford Fusion | 02:03.9255 | 4.4716 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 02:03.9489 | 4.495 |
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 02:09.9104 | 10.4565 |
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 02:10.5007 | 11.0468 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 02:10.9556 | 11.5017 |
Chris B (AI) | #34 Ford Fusion - 2016 Ford Fusion | 02:11.5315 | 12.0776 |
Chris B (AI) | #34 Ford Fusion - 2016 Ford Fusion | 02:15.7149 | 16.261 |
Chris B (AI) | #34 Ford Fusion - 2016 Ford Fusion | 02:16.3368 | 16.8829 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 02:17.9534 | 18.4995 |
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 02:28.0341 | 28.5802 |
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 02:59.8722 | 60.4183 |
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 03:10.8925 | 71.4386 |
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 03:34.0601 | 94.6062 |
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 03:37.9609 | 98.507 |
Chris B (AI) | #34 Ford Fusion - 2016 Ford Fusion | 03:38.8513 | 99.3974 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 03:39.2417 | 99.7878 |
Chris B (AI) | #34 Ford Fusion - 2016 Ford Fusion | 03:42.4485 | 102.9946 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 01:59.4539 | |
Brad K (AI) | # 2 Ford Fusion - 2016 Ford Fusion | 02:01.7112 | 2.2573 |
Chris B (AI) | #34 Ford Fusion - 2016 Ford Fusion | 02:03.9255 | 4.4716 |
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 | 93.02% <> 8.4944 |
Chris B (AI) | #34 Ford Fusion - 2016 Ford Fusion | 91.92% <> 10.0087 |
Joey L (AI) | #22 Ford Fusion - 2016 Ford Fusion | 90.37% <> 11.4987 |
Greg B | #16 Ford Fusion - 2016 Ford Fusion | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Joey L (AI) | 27.1843 | - |
Chris B (AI) | 27.2678 | 0.0835 |
Brad K (AI) | 27.7173 | 0.5330 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Joey L (AI) | 35.2232 | - |
Brad K (AI) | 38.0935 | 2.8703 |
Chris B (AI) | 38.2367 | 3.0135 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Brad K (AI) | 47.7727 | - |
Joey L (AI) | 47.8659 | 0.0932 |
Chris B (AI) | 48.2978 | 0.5251 |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Kyle B (AI) |
Led most laps | Kyle B (AI) |
Best lap | Kyle B (AI) (01:57.5158) |
Max minutes | 60 |
Lasted laps | 15 |
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, 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 | 18 | Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 15 | 59:48.3730 | 01:57.5158 | 89.66% | 0 | 1 | AIControl |
2 | ▴ 22 | 11 | Denny H | #11 Toyota Camry - 2016 Toyota Camry | 0 | DNF | - | - | 0 | 0 | - |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #18 Toyota Camry - 2016 Toyota Camry | 01:57.5158 | 35.1599 | 34.5726 | 47.7833 | F:0,Road Course - R:0,Road Course |
98.0 -
98.0
98.4 - 98.4 |
94.5% | AIControl |
2 | #18 Toyota Camry - 2016 Toyota Camry | 05:15.9772 | 48.2670 | 128.6277 | 139.0824 | F:0,Road Course - R:0,Road Course |
94.9 -
94.9
95.7 - 95.7 |
91.4% | AIControl |
3 | #18 Toyota Camry - 2016 Toyota Camry | 05:22.2048 | 78.2967 | 109.8080 | 134.1001 | F:0,Road Course - R:0,Road Course |
92.2 -
91.8
92.9 - 92.9 |
89.4% | AIControl |
4 | #18 Toyota Camry - 2016 Toyota Camry | 04:03.3049 | 77.9235 | 105.8339 | 59.5476 | F:0,Road Course - R:0,Road Course |
89.4 -
89.0
91.0 - 91.0 |
86.3% | AIControl |
5 | #18 Toyota Camry - 2016 Toyota Camry | 02:02.6832 | 31.5070 | 38.0361 | 53.1400 | F:0,Road Course - R:0,Road Course |
87.8 -
87.5
89.4 - 89.4 |
81.6% | AIControl |
6 | #18 Toyota Camry - 2016 Toyota Camry | 05:10.0305 | 72.4817 | 103.6932 | 133.8556 | F:0,Road Course - R:0,Road Course |
85.1 -
84.3
87.1 - 87.1 |
79.6% | AIControl |
7 | #18 Toyota Camry - 2016 Toyota Camry | 05:14.3975 | 79.1049 | 103.3173 | 131.9753 | F:0,Road Course - R:0,Road Course |
82.4 -
81.2
84.3 - 84.3 |
77.3% | AIControl |
8 | #18 Toyota Camry - 2016 Toyota Camry | 02:16.6621 | 52.1189 | 34.1395 | 50.4037 | F:0,Road Course - R:0,Road Course |
80.4 -
79.2
82.7 - 82.7 |
72.2% | AIControl |
9 | #18 Toyota Camry - 2016 Toyota Camry | 04:03.3029 | 40.4176 | 86.9441 | 115.9412 | F:0,Road Course - R:0,Road Course |
78.0 -
76.9
80.8 - 80.8 |
69.8% | AIControl |
10 | #18 Toyota Camry - 2016 Toyota Camry | 04:37.0508 | 70.1887 | 91.3223 | 115.5398 | F:0,Road Course - R:0,Road Course |
75.3 -
74.1
78.4 - 78.4 |
67.5% | AIControl |
11 | #18 Toyota Camry - 2016 Toyota Camry | 04:28.3372 | 70.3032 | 91.5288 | 106.5051 | F:0,Road Course - R:0,Road Course |
72.9 -
71.4
76.1 - 76.1 |
64.7% | AIControl |
12 (P: -45.9624) | #18 Toyota Camry - 2016 Toyota Camry | 02:23.1106 | 28.5310 | 40.0239 | 74.5557 | F:0,Road Course - R:0,Road Course |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
13 | #18 Toyota Camry - 2016 Toyota Camry | 03:47.0623 | 40.2944 | 70.8613 | 115.9065 | F:0,Road Course - R:0,Road Course |
97.6 -
97.6
98.0 - 98.0 |
96.9% | AIControl |
14 | #18 Toyota Camry - 2016 Toyota Camry | 04:37.1233 | 70.1438 | 91.5386 | 115.4409 | F:0,Road Course - R:0,Road Course |
94.9 -
94.5
95.7 - 95.7 |
94.5% | AIControl |
15 | #18 Toyota Camry - 2016 Toyota Camry | 04:29.6099 | 69.9883 | 91.8997 | 107.7219 | F:0,Road Course - R:0,Road Course |
92.5 -
92.2
92.9 - 93.3 |
91.4% | AIControl |
Average | 03:59.2248 | 57.6484 | 81.4765 | 100.0999 | |||||
Best possible | 01:50.4538 | 28.5310 | 34.1395 | 47.7833 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No laps for this driver |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 01:57.5158 | |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 02:02.6832 | 5.1674 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 02:16.6621 | 19.1463 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 02:23.1106 | 25.5948 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 03:47.0623 | 109.5465 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 04:03.3029 | 125.7871 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 04:03.3049 | 125.7891 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 04:28.3372 | 150.8214 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 04:29.6099 | 152.0941 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 04:37.0508 | 159.535 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 04:37.1233 | 159.6075 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 05:10.0305 | 192.5147 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 05:14.3975 | 196.8817 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 05:15.9772 | 198.4614 |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 05:22.2048 | 204.689 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 01:57.5158 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Kyle B (AI) | #18 Toyota Camry - 2016 Toyota Camry | 89.66% <> 12.1569 |
Denny H | #11 Toyota Camry - 2016 Toyota Camry | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Kyle B (AI) | 28.5310 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Kyle B (AI) | 34.1395 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Kyle B (AI) | 47.7833 | - |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Marcio J (AI) |
Led most laps | Marcio J (AI) |
Best lap | Marcio J (AI) (01:59.4764) |
Max minutes | 60 |
Lasted laps | 15 |
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, 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 | ▴ 30 | Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 15 | 01:02:30.6179 | 01:59.4764 | - | 0 | 2 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 04:26.6038 | 50.6938 | 158.4353 | 57.4747 | F:0,Dry - R:0,Dry |
93.3 -
93.3
95.3 - 95.3 |
92.9% | AIControl |
2 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 08:27.4476 | 40.5676 | 343.9075 | 122.9725 | F:0,Dry - R:0,Dry |
85.5 -
85.5
88.6 - 88.6 |
85.1% | AIControl |
3 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 03:53.1608 | 78.1968 | 102.2244 | 52.7396 | F:0,Dry - R:0,Dry |
78.4 -
78.0
83.1 - 83.1 |
78.8% | AIControl |
4 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 01:59.4764 | 27.5667 | 36.4005 | 55.5092 | F:0,Dry - R:0,Dry |
73.7 -
72.9
79.6 - 79.6 |
73.7% | AIControl |
5 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 05:08.4558 | 71.5325 | 103.7473 | 133.1760 | F:0,Dry - R:0,Dry |
66.7 -
65.9
74.1 - 73.7 |
68.6% | AIControl |
6 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 05:12.7363 | 78.6191 | 104.1736 | 129.9436 | F:0,Dry - R:0,Dry |
59.6 -
58.4
68.2 - 67.8 |
63.9% | AIControl |
7 (P: 8.6452) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 03:33.1187 | 54.0238 | 63.9858 | 95.1090 | F:0,Dry - R:0,Dry |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
8 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 04:27.8966 | 55.4806 | 94.8887 | 117.5273 | F:0,Dry - R:0,Dry |
93.7 -
93.7
94.9 - 94.9 |
95.7% | AIControl |
9 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 04:17.3010 | 69.5547 | 97.1592 | 90.5872 | F:0,Dry - R:0,Dry |
87.8 -
87.5
90.2 - 89.8 |
91.4% | AIControl |
10 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 03:36.5544 | 40.8062 | 84.6025 | 91.1458 | F:0,Dry - R:0,Dry |
82.4 -
82.0
85.9 - 85.5 |
87.1% | AIControl |
11 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 02:19.0632 | 30.9795 | 58.5237 | 49.5601 | F:0,Dry - R:0,Dry |
77.3 -
76.9
82.0 - 81.6 |
82% | AIControl |
12 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 03:24.7214 | 38.0796 | 51.2781 | 115.3638 | F:0,Dry - R:0,Dry |
71.8 -
71.0
77.6 - 77.3 |
78% | AIControl |
13 (P: 70.8879) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 05:05.2231 | 69.6086 | 91.7605 | 143.8540 | F:0,Dry - R:0,Dry |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
14 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 04:18.0132 | 68.9783 | 103.0349 | 86.0000 | F:0,Dry - R:0,Dry |
93.3 -
92.9
94.5 - 94.5 |
94.1% | AIControl |
15 | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 02:20.8455 | 27.4866 | 47.7974 | 65.5615 | F:0,Dry - R:0,Dry |
88.6 -
87.8
91.0 - 90.6 |
88.2% | AIControl |
Average | 04:10.0412 | 53.4783 | 102.7946 | 93.7683 | |||||
Best possible | 01:53.4472 | 27.4866 | 36.4005 | 49.5601 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 01:59.4764 | |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 02:19.0632 | 19.5868 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 02:20.8455 | 21.3691 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 03:24.7214 | 85.245 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 03:33.1187 | 93.6423 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 03:36.5544 | 97.078 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 03:53.1608 | 113.6844 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 04:17.3010 | 137.8246 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 04:18.0132 | 138.5368 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 04:26.6038 | 147.1274 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 04:27.8966 | 148.4202 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 05:05.2231 | 185.7467 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 05:08.4558 | 188.9794 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 05:12.7363 | 193.2599 |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 08:27.4476 | 387.9712 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Marcio J (AI) | #332 - Marcio Julio - Caravan 1978 (Anos 70) | 01:59.4764 |
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) | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Marcio J (AI) | 27.4866 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Marcio J (AI) | 36.4005 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Marcio J (AI) | 49.5601 | - |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Colin T |
Led most laps | Colin T |
Max minutes | 60 |
Lasted laps | 0 |
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, 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 | ▴ 52 | 5 | Colin T | eBay Motors #5 Colin Turkington '14 - BMW 125i | 0 | DNF | - | - | 0 | - |
Date | Incident |
---|---|
20:13:55 | Sorry, way too many incidents to show! |
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Camaro 1970 |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Luiz S (AI) |
Led most laps | Luiz S (AI) |
Best lap | Luiz S (AI) (01:50.8059) |
Max minutes | 60 |
Lasted laps | 14 |
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, 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 | ▴ 10 | 11 | Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 14 | 59:54.3064 | 01:50.8059 | - | 0 | 4 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 (P: -22.4334) | #11 Luiz Fernando Schauer - Camaro 1970 | 02:33.9412 | 38.2105 | 36.5874 | 79.1433 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
2 (P: 88.0064) | #11 Luiz Fernando Schauer - Camaro 1970 | 10:57.5156 | 39.4113 | 448.7257 | 169.3786 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
3 | #11 Luiz Fernando Schauer - Camaro 1970 | 03:36.4438 | 59.6158 | 98.2073 | 58.6207 | F:0,Slicks - R:0,Slicks |
98.0 -
98.0
98.4 - 98.4 |
97.3% | AIControl |
4 | #11 Luiz Fernando Schauer - Camaro 1970 | 01:50.8059 | 26.1782 | 33.4166 | 51.2111 | F:0,Slicks - R:0,Slicks |
97.3 -
97.3
97.6 - 97.6 |
94.5% | AIControl |
5 (P: 86.5748) | #11 Luiz Fernando Schauer - Camaro 1970 | 05:27.8145 | 64.5764 | 104.0677 | 159.1703 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
6 | #11 Luiz Fernando Schauer - Camaro 1970 | 05:05.3326 | 68.3925 | 103.9667 | 132.9735 | F:0,Slicks - R:0,Slicks |
98.0 -
98.0
98.4 - 98.4 |
98.8% | AIControl |
7 (P: 13.0004) | #11 Luiz Fernando Schauer - Camaro 1970 | 02:53.8574 | 36.1163 | 51.6410 | 86.1001 | F:0,Slicks - R:0,Slicks |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
8 | #11 Luiz Fernando Schauer - Camaro 1970 | 04:39.6322 | 67.8883 | 94.8408 | 116.9031 | F:0,Slicks - R:0,Slicks |
98.0 -
98.0
98.4 - 98.4 |
98.4% | AIControl |
9 | #11 Luiz Fernando Schauer - Camaro 1970 | 04:14.0107 | 70.2466 | 96.9216 | 86.8425 | F:0,Slicks - R:0,Slicks |
96.5 -
96.5
97.3 - 96.9 |
97.3% | AIControl |
10 | #11 Luiz Fernando Schauer - Camaro 1970 | 03:41.8489 | 39.8447 | 89.2227 | 92.7815 | F:0,Slicks - R:0,Slicks |
95.3 -
94.5
96.1 - 95.3 |
95.7% | AIControl |
11 | #11 Luiz Fernando Schauer - Camaro 1970 | 02:17.1707 | 28.1384 | 61.1350 | 47.8972 | F:0,Slicks - R:0,Slicks |
94.1 -
93.3
94.9 - 94.5 |
92.5% | AIControl |
12 | #11 Luiz Fernando Schauer - Camaro 1970 | 03:27.5288 | 38.3882 | 53.1003 | 116.0403 | F:0,Slicks - R:0,Slicks |
92.9 -
92.2
93.7 - 93.3 |
91.4% | AIControl |
13 | #11 Luiz Fernando Schauer - Camaro 1970 | 04:36.8992 | 69.6926 | 91.6392 | 115.5674 | F:0,Slicks - R:0,Slicks |
91.4 -
90.6
92.5 - 92.2 |
90.2% | AIControl |
14 | #11 Luiz Fernando Schauer - Camaro 1970 | 04:31.5049 | 69.7993 | 91.8542 | 109.8513 | F:0,Slicks - R:0,Slicks |
89.8 -
88.2
91.4 - 90.2 |
89% | AIControl |
Average | 04:16.7362 | 51.1785 | 103.9519 | 101.6058 | |||||
Best possible | 01:47.4920 | 26.1782 | 33.4166 | 47.8972 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:50.8059 | |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 02:17.1707 | 26.3648 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 02:33.9412 | 43.1353 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 02:53.8574 | 63.0515 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 03:27.5288 | 96.7229 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 03:36.4438 | 105.6379 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 03:41.8489 | 111.043 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 04:14.0107 | 143.2048 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 04:31.5049 | 160.699 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 04:36.8992 | 166.0933 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 04:39.6322 | 168.8263 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 05:05.3326 | 194.5267 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 05:27.8145 | 217.0086 |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 10:57.5156 | 546.7097 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Luiz S (AI) | #11 Luiz Fernando Schauer - Camaro 1970 | 01:50.8059 |
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 | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Luiz S (AI) | 26.1782 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Luiz S (AI) | 33.4166 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Luiz S (AI) | 47.8972 | - |
Date | Incident |
---|---|
20:13:55 | 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 | Chevrolet Cruze |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Josh C (AI) |
Led most laps | Josh C (AI) |
Best lap | Hunter A (AI) (02:04.5582) |
Max minutes | 60 |
Lasted laps | 14 |
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, 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 | ▴ 55 | 66 | Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 14 | 59:57.6340 | 02:05.9020 | - | 0 | 2 | AIControl |
2 | ▴ 59 | 54 | Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 14 | +00:01.3258 | 02:04.5582 | - | 0 | 2 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 05:17.7684 | 67.8996 | 194.3416 | 55.5272 | F:2,Medium - R:2,Medium |
95.7 -
95.7
97.3 - 97.3 |
96.9% | AIControl |
2 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 05:34.3763 | 70.1511 | 118.9349 | 145.2902 | F:2,Medium - R:2,Medium |
91.0 -
91.4
94.1 - 94.1 |
95.3% | AIControl |
3 (P: 46.0162) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 05:43.4589 | 67.7175 | 104.6099 | 171.1316 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 02:05.9020 | 34.7575 | 38.0406 | 53.1039 | F:2,Medium - R:2,Medium |
97.6 -
97.3
98.4 - 98.4 |
97.6% | AIControl |
5 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 05:09.3130 | 72.1100 | 103.6814 | 133.5216 | F:2,Medium - R:2,Medium |
93.3 -
93.3
95.7 - 95.3 |
96.9% | AIControl |
6 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 05:14.7456 | 79.4552 | 103.2798 | 132.0106 | F:2,Medium - R:2,Medium |
89.4 -
89.0
92.9 - 92.2 |
96.1% | AIControl |
7 (P: 8.6405) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 03:30.3267 | 56.1674 | 44.5652 | 109.5941 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
8 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 04:31.0142 | 58.9193 | 94.8732 | 117.2217 | F:2,Medium - R:2,Medium |
96.1 -
96.1
97.3 - 97.3 |
98.8% | AIControl |
9 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 04:16.9536 | 69.9041 | 97.0554 | 89.9941 | F:2,Medium - R:2,Medium |
92.5 -
92.2
94.9 - 94.5 |
97.6% | AIControl |
10 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 03:38.7217 | 40.5237 | 85.4661 | 92.7319 | F:2,Medium - R:2,Medium |
89.0 -
88.6
92.9 - 92.2 |
96.1% | AIControl |
11 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 02:51.9893 | 31.9250 | 86.7021 | 53.3621 | F:2,Medium - R:2,Medium |
85.9 -
85.5
91.0 - 90.2 |
93.7% | AIControl |
12 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 02:56.7903 | 40.1323 | 49.9565 | 86.7014 | F:2,Medium - R:2,Medium |
83.1 -
82.7
89.0 - 88.6 |
92.5% | AIControl |
13 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 04:36.7205 | 69.8115 | 91.8289 | 115.0801 | F:2,Medium - R:2,Medium |
79.2 -
78.8
86.7 - 85.5 |
91% | AIControl |
14 | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 04:29.5535 | 67.6599 | 91.4209 | 110.4727 | F:2,Medium - R:2,Medium |
75.3 -
74.9
83.9 - 83.1 |
89.8% | AIControl |
Average | 04:16.9738 | 59.0810 | 93.1969 | 104.6959 | |||||
Best possible | 02:03.0695 | 31.9250 | 38.0406 | 53.1039 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 05:20.9762 | 69.2204 | 197.2554 | 54.5004 | F:2,Medium - R:2,Medium |
95.3 -
95.3
96.9 - 96.5 |
96.9% | AIControl |
2 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 05:16.8937 | 67.5872 | 115.6668 | 133.6397 | F:2,Medium - R:2,Medium |
91.0 -
90.6
94.1 - 93.3 |
95.7% | AIControl |
3 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 05:19.8666 | 79.8771 | 104.9282 | 135.0613 | F:2,Medium - R:2,Medium |
85.9 -
85.9
90.6 - 90.2 |
94.5% | AIControl |
4 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 02:04.5582 | 30.8441 | 38.0585 | 55.6555 | F:2,Medium - R:2,Medium |
83.5 -
83.1
89.0 - 88.6 |
92.2% | AIControl |
5 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:58.3114 | 71.8408 | 95.4348 | 131.0358 | F:2,Medium - R:2,Medium |
79.2 -
79.2
86.3 - 85.5 |
91% | AIControl |
6 (P: 59.4643) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 05:54.7054 | 80.0150 | 103.4016 | 171.2888 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
7 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 02:26.4270 | 53.2134 | 39.7062 | 53.5074 | F:2,Medium - R:2,Medium |
97.3 -
96.9
98.4 - 98.0 |
97.6% | AIControl |
8 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:03.2290 | 39.8656 | 87.4203 | 115.9431 | F:2,Medium - R:2,Medium |
93.7 -
93.3
96.1 - 95.7 |
96.5% | AIControl |
9 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:36.9966 | 70.0903 | 91.4290 | 115.4773 | F:2,Medium - R:2,Medium |
89.8 -
89.4
93.3 - 92.9 |
95.3% | AIControl |
10 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:29.1763 | 70.3137 | 91.6416 | 107.2209 | F:2,Medium - R:2,Medium |
86.3 -
85.5
91.0 - 90.2 |
94.1% | AIControl |
11 (P: -10.8949) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 03:03.9905 | 30.6428 | 41.8115 | 111.5361 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
12 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 03:13.6370 | 42.6069 | 50.1262 | 100.9038 | F:2,Medium - R:2,Medium |
96.9 -
96.9
98.0 - 97.6 |
98.4% | AIControl |
13 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:36.0532 | 69.9753 | 91.6101 | 114.4678 | F:2,Medium - R:2,Medium |
92.9 -
92.9
95.3 - 94.9 |
96.9% | AIControl |
14 | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:34.1387 | 69.5757 | 91.3691 | 113.1938 | F:2,Medium - R:2,Medium |
89.0 -
88.6
92.5 - 92.2 |
95.3% | AIControl |
Average | 04:17.0686 | 60.4049 | 88.5614 | 108.1023 | |||||
Best possible | 02:02.2087 | 30.6428 | 38.0585 | 53.5074 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 02:04.5582 | |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 02:05.9020 | 1.3438 |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 02:26.4270 | 21.8688 |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 02:51.9893 | 47.4311 |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 02:56.7903 | 52.2321 |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 03:03.9905 | 59.4323 |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 03:13.6370 | 69.0788 |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 03:30.3267 | 85.7685 |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 03:38.7217 | 94.1635 |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:03.2290 | 118.6708 |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 04:16.9536 | 132.3954 |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:29.1763 | 144.6181 |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 04:29.5535 | 144.9953 |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 04:31.0142 | 146.456 |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:34.1387 | 149.5805 |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:36.0532 | 151.495 |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 04:36.7205 | 152.1623 |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:36.9966 | 152.4384 |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 04:58.3114 | 173.7532 |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 05:09.3130 | 184.7548 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | 02:04.5582 | |
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | 02:05.9020 | 1.3438 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Josh C (AI) | Power Maxed Racing #66 Josh Cook '15 - Chevrolet Cruze | - |
Hunter A (AI) | Power Maxed Racing #54 Hunter Abbott '16 - Chevrolet Cruze | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Hunter A (AI) | 30.6428 | - |
Josh C (AI) | 31.9250 | 1.2822 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Josh C (AI) | 38.0406 | - |
Hunter A (AI) | 38.0585 | 0.0179 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Josh C (AI) | 53.1039 | - |
Hunter A (AI) | 53.5074 | 0.4035 |
Date | Incident |
---|---|
20:13:55 | 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 | Chevrolet Cruze TC1 |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | John F (AI) |
Led most laps | John F (AI) |
Best lap | Sabine S (AI) (02:10.5389) |
Max minutes | 60 |
Lasted laps | 14 |
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, 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 | ▴ 49 | 27 | John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 14 | 01:00:47.8520 | 02:30.9048 | - | 0 | 7 | AIControl |
2 | ▴ 45 | 8 | Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 14 | Accident | 02:10.5389 | - | 0 | 7 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Fuel | Aids |
---|---|---|---|---|---|---|---|---|
1 (P: -9.8852) | #27 John Filippi - Chevrolet Cruze TC1 | 04:22.7042 | 64.4403 | 94.9402 | 103.3237 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
2 | #27 John Filippi - Chevrolet Cruze TC1 | 06:47.1248 | 41.6260 | 273.8037 | 91.6951 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 89.8% | AIControl |
3 (P: 31.0203) | #27 John Filippi - Chevrolet Cruze TC1 | 05:06.0403 | 51.8219 | 103.8206 | 150.3979 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
4 (P: -4.9559) | #27 John Filippi - Chevrolet Cruze TC1 | 02:36.9807 | 35.4573 | 38.9319 | 82.5914 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
5 | #27 John Filippi - Chevrolet Cruze TC1 | 05:16.3420 | 67.2876 | 103.7384 | 145.3160 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 92.9% | AIControl |
6 (P: 33.9578) | #27 John Filippi - Chevrolet Cruze TC1 | 05:25.1300 | 72.0718 | 103.2910 | 149.7672 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
7 | #27 John Filippi - Chevrolet Cruze TC1 | 02:30.9048 | 39.0255 | 52.1412 | 59.7380 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 92.5% | AIControl |
8 | #27 John Filippi - Chevrolet Cruze TC1 | 03:27.6833 | 40.6979 | 51.8754 | 115.1101 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 88.2% | AIControl |
9 | #27 John Filippi - Chevrolet Cruze TC1 | 04:36.0588 | 70.1580 | 91.4211 | 114.4797 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 83.9% | AIControl |
10 (P: 25.0389) | #27 John Filippi - Chevrolet Cruze TC1 | 05:05.8188 | 69.9941 | 91.6653 | 144.1594 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
11 | #27 John Filippi - Chevrolet Cruze TC1 | 02:42.5574 | 35.7144 | 72.8379 | 54.0051 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 91.8% | AIControl |
12 | #27 John Filippi - Chevrolet Cruze TC1 | 02:55.2222 | 40.5347 | 50.7610 | 83.9265 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 87.8% | AIControl |
13 (P: 53.3172) | #27 John Filippi - Chevrolet Cruze TC1 | 05:06.5645 | 69.7939 | 91.7263 | 145.0442 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
14 (P: 27.7592) | #27 John Filippi - Chevrolet Cruze TC1 | 04:48.7202 | 63.1079 | 102.9573 | 122.6550 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
Average | 04:20.5609 | 54.4094 | 94.5651 | 111.5864 | ||||
Best possible | 02:08.3943 | 35.4573 | 38.9319 | 54.0051 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Fuel | Aids |
---|---|---|---|---|---|---|---|---|
1 | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 04:27.4789 | 61.6999 | 146.2731 | 59.5060 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 86.3% | AIControl |
2 (P: 58.9924) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 07:08.6633 | 41.2373 | 215.2188 | 172.2072 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
3 (P: 40.1999) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 04:49.8022 | 41.2606 | 89.5887 | 158.9529 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
4 | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 02:10.5389 | 35.7224 | 40.6343 | 54.1823 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 92.5% | AIControl |
5 | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 05:13.7371 | 76.5430 | 103.6770 | 133.5171 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 89.4% | AIControl |
6 | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 05:14.7502 | 79.4641 | 103.2935 | 131.9927 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 86.3% | AIControl |
7 (P: -19.3934) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 03:12.6777 | 55.8196 | 45.2307 | 91.6274 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
8 | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 03:18.5018 | 43.4546 | 49.8329 | 105.2144 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 95.3% | AIControl |
9 (P: 52.067) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 05:12.5835 | 70.0701 | 91.4463 | 151.0671 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 99.6% | AIControl |
10 | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 04:12.2798 | 55.4753 | 103.6082 | 93.1963 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 94.9% | AIControl |
11 (P: -29.853) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 03:02.4922 | 32.5479 | 67.1011 | 82.8433 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
12 | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 02:49.8179 | 41.7791 | 50.4521 | 77.5867 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 95.7% | AIControl |
13 (P: 53.8808) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 05:14.6780 | 69.6257 | 91.6897 | 153.3625 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 99.6% | AIControl |
14 (P: 38.0263) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 04:49.5359 | 54.9937 | 102.9165 | 131.6257 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 99.6% | AIControl |
Average | 04:21.2527 | 54.2638 | 92.9259 | 114.0630 | ||||
Best possible | 02:07.3645 | 32.5479 | 40.6343 | 54.1823 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 02:10.5389 | |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 02:30.9048 | 20.3659 |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 02:36.9807 | 26.4418 |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 02:42.5574 | 32.0185 |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 02:49.8179 | 39.279 |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 02:55.2222 | 44.6833 |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 03:02.4922 | 51.9533 |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 03:12.6777 | 62.1388 |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 03:18.5018 | 67.9629 |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 03:27.6833 | 77.1444 |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 04:12.2798 | 121.7409 |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 04:22.7042 | 132.1653 |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 04:27.4789 | 136.94 |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 04:36.0588 | 145.5199 |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 04:48.7202 | 158.1813 |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 04:49.5359 | 158.997 |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 04:49.8022 | 159.2633 |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 05:05.8188 | 175.2799 |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 05:06.0403 | 175.5014 |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 05:06.5645 | 176.0256 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | 02:10.5389 | |
John F (AI) | #27 John Filippi - Chevrolet Cruze TC1 | 02:30.9048 | 20.3659 |
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 - Chevrolet Cruze TC1 | - |
Sabine S (AI) | #8 Sabine Schmitz - Chevrolet Cruze TC1 | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Sabine S (AI) | 32.5479 | - |
John F (AI) | 35.4573 | 2.9094 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
John F (AI) | 38.9319 | - |
Sabine S (AI) | 40.6343 | 1.7024 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
John F (AI) | 54.0051 | - |
Sabine S (AI) | 54.1823 | 0.1772 |
Date | Incident |
---|---|
20:13:55 | 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 | Civic BTCC 2013 |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Mike C (AI) |
Led most laps | Mike C (AI) |
Best lap | Mike C (AI) (02:11.9790) |
Max minutes | 60 |
Lasted laps | 13 |
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, 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 | ▴ 57 | 4 | Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 13 | DNF | 02:11.9790 | - | 0 | 2 | AIControl |
2 | ▴ 57 | 1 | Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | 9 | Accident | 02:44.8018 | - | 0 | 2 | AIControl |
3 | ▴ 57 | 29 | Robin I (AI) | Honda Civic NGTC #29 - Civic BTCC 2013 | 1 | DNF | 06:53.8689 | - | 0 | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Honda Civic NGTC #4 - Civic BTCC 2013 | 07:14.7896 | 68.2839 | 221.6083 | 144.8974 | F:1,Medium - R:1,Medium |
94.5 -
94.5
96.5 - 96.1 |
96.5% | AIControl |
2 (P: 89.7736) | Honda Civic NGTC #4 - Civic BTCC 2013 | 07:24.1028 | 78.2212 | 164.4834 | 201.3983 | F:1,Medium - R:1,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
3 (P: 11.7052) | Honda Civic NGTC #4 - Civic BTCC 2013 | 03:43.8824 | 59.0330 | 55.6564 | 109.1931 | F:1,Medium - R:1,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | Honda Civic NGTC #4 - Civic BTCC 2013 | 05:09.2318 | 73.1698 | 103.4403 | 132.6217 | F:1,Medium - R:1,Medium |
95.3 -
95.3
96.5 - 96.9 |
98% | AIControl |
5 | Honda Civic NGTC #4 - Civic BTCC 2013 | 05:14.5238 | 79.5997 | 103.6389 | 131.2852 | F:1,Medium - R:1,Medium |
91.0 -
91.0
93.7 - 93.7 |
96.5% | AIControl |
6 | Honda Civic NGTC #4 - Civic BTCC 2013 | 02:36.0468 | 62.1091 | 40.1713 | 53.7664 | F:1,Medium - R:1,Medium |
88.6 -
88.2
92.2 - 91.8 |
94.1% | AIControl |
7 | Honda Civic NGTC #4 - Civic BTCC 2013 | 04:03.0112 | 39.9918 | 87.0807 | 115.9387 | F:1,Medium - R:1,Medium |
85.1 -
84.7
89.8 - 89.4 |
92.9% | AIControl |
8 | Honda Civic NGTC #4 - Civic BTCC 2013 | 04:37.0100 | 70.1196 | 91.3711 | 115.5193 | F:1,Medium - R:1,Medium |
81.2 -
80.4
87.1 - 86.7 |
91.8% | AIControl |
9 | Honda Civic NGTC #4 - Civic BTCC 2013 | 04:30.5583 | 70.3264 | 91.5364 | 108.6956 | F:1,Medium - R:1,Medium |
77.3 -
76.5
84.7 - 83.9 |
90.6% | AIControl |
10 | Honda Civic NGTC #4 - Civic BTCC 2013 | 02:11.9790 | 32.6736 | 45.9302 | 53.3752 | F:1,Medium - R:1,Medium |
74.9 -
73.7
83.1 - 82.0 |
88.2% | AIControl |
11 | Honda Civic NGTC #4 - Civic BTCC 2013 | 03:53.6858 | 38.6274 | 79.1321 | 115.9263 | F:1,Medium - R:1,Medium |
71.4 -
70.2
81.2 - 79.6 |
87.1% | AIControl |
12 | Honda Civic NGTC #4 - Civic BTCC 2013 | 04:37.7529 | 70.1064 | 91.5078 | 116.1387 | F:1,Medium - R:1,Medium |
67.5 -
66.3
78.4 - 76.9 |
85.9% | AIControl |
13 | Honda Civic NGTC #4 - Civic BTCC 2013 | 04:30.8723 | 70.0332 | 91.8611 | 108.9780 | F:1,Medium - R:1,Medium |
63.9 -
62.4
76.1 - 74.1 |
84.7% | AIControl |
Average | 04:35.9574 | 62.4842 | 97.4937 | 115.9795 | |||||
Best possible | 02:06.2201 | 32.6736 | 40.1713 | 53.3752 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Honda Civic NGTC #1 - Civic BTCC 2013 | 05:13.9380 | 73.0344 | 186.9035 | 54.0001 | F:1,Medium - R:1,Medium |
95.7 -
95.7
97.3 - 96.9 |
96.9% | AIControl |
2 (P: 117.2174) | Honda Civic NGTC #1 - Civic BTCC 2013 | 07:51.7470 | 71.9007 | 193.4485 | 206.3978 | F:1,Medium - R:1,Medium |
100.0 -
99.6
100.0 - 99.6 |
100% | AIControl |
3 (P: 38.1849) | Honda Civic NGTC #1 - Civic BTCC 2013 | 05:13.6038 | 77.5506 | 105.6723 | 130.3809 | F:1,Medium - R:1,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | Honda Civic NGTC #1 - Civic BTCC 2013 | 05:05.1332 | 74.5350 | 103.7190 | 126.8792 | F:1,Medium - R:1,Medium |
95.7 -
95.7
96.9 - 96.9 |
98% | AIControl |
5 | Honda Civic NGTC #1 - Civic BTCC 2013 | 05:01.2412 | 79.0081 | 103.0925 | 119.1406 | F:1,Medium - R:1,Medium |
91.4 -
91.0
94.1 - 93.7 |
96.5% | AIControl |
6 | Honda Civic NGTC #1 - Civic BTCC 2013 | 02:44.8018 | 66.2225 | 45.2778 | 53.3014 | F:1,Medium - R:1,Medium |
88.6 -
88.2
92.5 - 91.8 |
94.1% | AIControl |
7 | Honda Civic NGTC #1 - Civic BTCC 2013 | 04:11.0638 | 44.6279 | 90.4827 | 115.9532 | F:1,Medium - R:1,Medium |
85.1 -
84.7
90.2 - 89.4 |
92.9% | AIControl |
8 | Honda Civic NGTC #1 - Civic BTCC 2013 | 04:37.6143 | 70.0801 | 91.5273 | 116.0068 | F:1,Medium - R:1,Medium |
81.2 -
80.8
87.5 - 86.7 |
92.2% | AIControl |
9 | Honda Civic NGTC #1 - Civic BTCC 2013 | 04:28.6736 | 70.2446 | 91.7112 | 106.7178 | F:1,Medium - R:1,Medium |
77.6 -
76.9
85.1 - 83.9 |
91% | AIControl |
Average | 04:56.4240 | 69.6893 | 112.4261 | 114.3086 | |||||
Best possible | 02:23.2071 | 44.6279 | 45.2778 | 53.3014 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Honda Civic NGTC #29 - Civic BTCC 2013 | 06:53.8689 | 68.4949 | 219.0621 | 126.3119 | F:1,Medium - R:1,Medium |
94.1 -
94.9
95.7 - 96.5 |
96.5% | AIControl |
Average | 06:53.8689 | 68.4949 | 219.0621 | 126.3119 | |||||
Best possible | 06:53.8689 | 68.4949 | 219.0621 | 126.3119 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 02:11.9790 | |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 02:36.0468 | 24.0678 |
Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | 02:44.8018 | 32.8228 |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 03:43.8824 | 91.9034 |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 03:53.6858 | 101.7068 |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 04:03.0112 | 111.0322 |
Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | 04:11.0638 | 119.0848 |
Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | 04:28.6736 | 136.6946 |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 04:30.5583 | 138.5793 |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 04:30.8723 | 138.8933 |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 04:37.0100 | 145.031 |
Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | 04:37.6143 | 145.6353 |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 04:37.7529 | 145.7739 |
Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | 05:01.2412 | 169.2622 |
Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | 05:05.1332 | 173.1542 |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 05:09.2318 | 177.2528 |
Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | 05:13.6038 | 181.6248 |
Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | 05:13.9380 | 181.959 |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 05:14.5238 | 182.5448 |
Robin I (AI) | Honda Civic NGTC #29 - Civic BTCC 2013 | 06:53.8689 | 281.8899 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | 02:11.9790 | |
Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | 02:44.8018 | 32.8228 |
Robin I (AI) | Honda Civic NGTC #29 - Civic BTCC 2013 | 06:53.8689 | 281.8899 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Mike C (AI) | Honda Civic NGTC #4 - Civic BTCC 2013 | - |
Gordon S (AI) | Honda Civic NGTC #1 - Civic BTCC 2013 | - |
Robin I (AI) | Honda Civic NGTC #29 - Civic BTCC 2013 | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Mike C (AI) | 32.6736 | - |
Gordon S (AI) | 44.6279 | 11.9543 |
Robin I (AI) | 68.4949 | 35.8213 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Mike C (AI) | 40.1713 | - |
Gordon S (AI) | 45.2778 | 5.1065 |
Robin I (AI) | 219.0621 | 178.8908 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Gordon S (AI) | 53.3014 | - |
Mike C (AI) | 53.3752 | 0.0738 |
Robin I (AI) | 126.3119 | 73.0105 |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Rhyan S |
Led most laps | Rhyan S |
Max minutes | 60 |
Lasted laps | 0 |
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, 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 | ▴ 38 | 92 | Rhyan S | Rhyan Smeeth #92 - Falcon | 0 | Engine | - | - | 0 | - |
Date | Incident |
---|---|
20:13:55 | Sorry, way too many incidents to show! |
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Ferrari 458 GTE |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Antonio G (AI) |
Led most laps | Antonio G (AI) |
Best lap | Mika S (AI) (01:49.9329) |
Max minutes | 60 |
Lasted laps | 15 |
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, 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 | 12021 | Antonio G (AI) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 15 | 01:00:09.1248 | 01:52.2667 | - | 0 | 5 | AIControl |
2 | ▴ 28 | 11089 | Andrea I (AI) | #59 - Andrea Iannone - Ferrari 458 GTE | 15 | +-00:00:00.9626 | 02:15.3987 | - | 0 | 3 | AIControl |
3 | ▴ 25 | 11062 | Mika S (AI) | #62 - Mika Salo - Ferrari 458 GTE | 15 | +00:01:20.0473 | 01:49.9329 | 95.72% | 0 | 2 | AIControl |
4 | ▴ 33 | 2 | Jazeman J (AI) | #02 - Jazeman Jaafar - Ferrari 458 GTE | 14 | +1 lap | 02:36.5237 | - | 0 | 4 | AIControl |
5 | ▴ 22 | 12051 | Giancarlo F (AI) | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 13 | +2 laps | 02:01.8842 | - | 0 | 4 | AIControl |
6 | ▴ 26 | 12061 | Sebastian V (AI) | #61 - Sebastian Vettel - Ferrari 458 GTE | 13 | DNF | 02:39.9775 | - | 0 | 4 | AIControl |
7 | ▴ 11 | 12010 | Esteban O (AI) | #05 - Esteban Ocon - Ferrari 458 GTE | 5 | DNF | 01:51.1805 | - | 0 | 1 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 02:58.7399 | 49.6587 | 79.8291 | 49.2521 | F:3,Hard - R:3,Hard |
98.4 -
98.0
97.6 - 97.3 |
96.9% | AIControl |
2 (P: 100.1423) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 08:51.5337 | 38.8253 | 304.9735 | 187.7349 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
3 | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 04:05.6270 | 39.0723 | 78.2560 | 128.2987 | F:3,Hard - R:3,Hard |
97.3 -
96.9
96.1 - 96.1 |
98% | AIControl |
4 | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 01:53.8754 | 28.7258 | 35.0669 | 50.0826 | F:3,Hard - R:3,Hard |
95.7 -
95.3
94.1 - 94.1 |
95.7% | AIControl |
5 | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 01:52.2667 | 27.6095 | 34.7611 | 49.8961 | F:3,Hard - R:3,Hard |
94.5 -
93.7
92.2 - 92.2 |
93.3% | AIControl |
6 (P: 102.1704) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 05:08.3442 | 42.3130 | 89.2251 | 176.8062 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
7 (P: 76.133) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 05:20.9996 | 52.0291 | 97.5779 | 171.3927 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
8 | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 02:15.1604 | 31.4052 | 34.7997 | 68.9556 | F:3,Hard - R:3,Hard |
98.4 -
98.0
97.3 - 97.6 |
97.3% | AIControl |
9 | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 04:38.2733 | 66.5298 | 94.8351 | 116.9084 | F:3,Hard - R:3,Hard |
95.3 -
94.9
93.3 - 93.3 |
96.5% | AIControl |
10 (P: 47.1749) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 05:01.4653 | 70.2417 | 96.8750 | 134.3486 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
11 | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 02:58.7351 | 39.4912 | 49.6101 | 89.6338 | F:3,Hard - R:3,Hard |
97.6 -
97.6
97.3 - 96.9 |
97.6% | AIControl |
12 (P: 13.2785) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 04:58.0864 | 29.6387 | 170.6221 | 97.8257 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
13 | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 02:38.3589 | 42.1177 | 51.3174 | 64.9238 | F:3,Hard - R:3,Hard |
98.0 -
98.0
97.3 - 97.3 |
97.6% | AIControl |
14 | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 03:02.4338 | 38.4224 | 49.4641 | 94.5474 | F:3,Hard - R:3,Hard |
96.1 -
95.7
94.5 - 94.5 |
95.7% | AIControl |
15 | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 04:25.2251 | 76.2766 | 103.0396 | 85.9089 | F:3,Hard - R:3,Hard |
93.3 -
92.9
90.6 - 90.2 |
94.1% | AIControl |
Average | 04:00.6084 | 44.8238 | 91.3502 | 104.4344 | |||||
Best possible | 01:51.6227 | 27.6095 | 34.7611 | 49.2521 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #59 - Andrea Iannone - Ferrari 458 GTE | 02:56.1653 | 50.3405 | 76.7763 | 49.0485 | F:3,Hard - R:3,Hard |
98.4 -
98.0
97.6 - 97.6 |
96.9% | AIControl |
2 | #59 - Andrea Iannone - Ferrari 458 GTE | 05:30.2417 | 38.8216 | 156.6783 | 134.7418 | F:3,Hard - R:3,Hard |
95.3 -
94.9
93.3 - 93.3 |
95.3% | AIControl |
3 (P: 96.0662) | #59 - Andrea Iannone - Ferrari 458 GTE | 05:53.4031 | 77.8335 | 108.2739 | 167.2957 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | #59 - Andrea Iannone - Ferrari 458 GTE | 03:02.8239 | 76.9468 | 49.6539 | 56.2232 | F:3,Hard - R:3,Hard |
98.0 -
97.6
96.9 - 96.9 |
97.6% | AIControl |
5 | #59 - Andrea Iannone - Ferrari 458 GTE | 02:15.3987 | 33.6105 | 42.6113 | 59.1769 | F:3,Hard - R:3,Hard |
96.1 -
96.1
94.9 - 94.5 |
95.7% | AIControl |
6 | #59 - Andrea Iannone - Ferrari 458 GTE | 04:35.0752 | 39.4335 | 92.3694 | 143.2723 | F:3,Hard - R:3,Hard |
93.3 -
92.9
91.0 - 90.6 |
94.1% | AIControl |
7 | #59 - Andrea Iannone - Ferrari 458 GTE | 05:15.8483 | 78.2721 | 103.9635 | 133.6127 | F:3,Hard - R:3,Hard |
89.8 -
89.4
86.3 - 85.9 |
93.3% | AIControl |
8 (P: 20.6931) | #59 - Andrea Iannone - Ferrari 458 GTE | 03:07.3760 | 37.4862 | 40.0364 | 109.8534 | F:3,Hard - R:3,Hard |
100.0 -
100.0
99.6 - 99.6 |
100% | AIControl |
9 | #59 - Andrea Iannone - Ferrari 458 GTE | 04:31.2957 | 59.0160 | 94.8812 | 117.3984 | F:3,Hard - R:3,Hard |
96.9 -
96.9
95.7 - 95.7 |
98.4% | AIControl |
10 | #59 - Andrea Iannone - Ferrari 458 GTE | 04:16.7917 | 69.7119 | 97.0679 | 90.0120 | F:3,Hard - R:3,Hard |
94.1 -
93.7
92.2 - 91.8 |
97.3% | AIControl |
11 | #59 - Andrea Iannone - Ferrari 458 GTE | 03:36.7932 | 40.6328 | 85.3262 | 90.8342 | F:3,Hard - R:3,Hard |
91.8 -
91.0
88.6 - 88.6 |
95.3% | AIControl |
12 (P: -3.6897) | #59 - Andrea Iannone - Ferrari 458 GTE | 03:34.2419 | 31.0488 | 79.1895 | 104.0037 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
13 | #59 - Andrea Iannone - Ferrari 458 GTE | 02:42.7634 | 40.4829 | 50.6802 | 71.6003 | F:3,Hard - R:3,Hard |
98.0 -
98.0
97.3 - 97.3 |
97.6% | AIControl |
14 | #59 - Andrea Iannone - Ferrari 458 GTE | 04:24.8677 | 46.4265 | 91.8896 | 126.5515 | F:3,Hard - R:3,Hard |
95.3 -
94.9
93.3 - 93.3 |
96.5% | AIControl |
15 | #59 - Andrea Iannone - Ferrari 458 GTE | 04:25.0764 | 76.4724 | 103.0503 | 85.5537 | F:3,Hard - R:3,Hard |
92.2 -
91.8
89.4 - 89.0 |
94.5% | AIControl |
Average | 04:00.5442 | 53.1024 | 84.8299 | 102.6119 | |||||
Best possible | 02:00.1337 | 31.0488 | 40.0364 | 49.0485 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 (P: 1.329) | #62 - Mika Salo - Ferrari 458 GTE | 05:06.1274 | 49.1649 | 151.2855 | 105.6770 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
2 (P: 63.4969) | #62 - Mika Salo - Ferrari 458 GTE | 06:55.6118 | 44.6588 | 235.4726 | 135.4803 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
3 | #62 - Mika Salo - Ferrari 458 GTE | 04:23.7681 | 77.0234 | 105.8250 | 80.9197 | F:3,Hard - R:3,Hard |
96.9 -
96.9
96.1 - 95.7 |
98.4% | AIControl |
4 | #62 - Mika Salo - Ferrari 458 GTE | 01:58.4638 | 27.4184 | 37.4940 | 53.5514 | F:3,Hard - R:3,Hard |
95.7 -
95.3
93.7 - 93.7 |
96.1% | AIControl |
5 | #62 - Mika Salo - Ferrari 458 GTE | 05:06.8975 | 70.9105 | 103.2139 | 132.7731 | F:3,Hard - R:3,Hard |
92.2 -
91.8
89.4 - 89.0 |
94.9% | AIControl |
6 | #62 - Mika Salo - Ferrari 458 GTE | 05:14.5300 | 79.6064 | 103.6421 | 131.2815 | F:3,Hard - R:3,Hard |
89.0 -
88.2
84.7 - 84.3 |
93.7% | AIControl |
7 | #62 - Mika Salo - Ferrari 458 GTE | 02:27.2728 | 60.7345 | 35.2716 | 51.2667 | F:3,Hard - R:3,Hard |
87.1 -
86.3
82.4 - 82.0 |
91.8% | AIControl |
8 | #62 - Mika Salo - Ferrari 458 GTE | 04:10.5156 | 44.4652 | 90.1155 | 115.9349 | F:3,Hard - R:3,Hard |
84.3 -
83.5
78.8 - 78.0 |
90.2% | AIControl |
9 | #62 - Mika Salo - Ferrari 458 GTE | 04:37.0698 | 70.0713 | 91.5171 | 115.4814 | F:3,Hard - R:3,Hard |
81.6 -
80.4
74.5 - 74.1 |
88.6% | AIControl |
10 | #62 - Mika Salo - Ferrari 458 GTE | 04:27.9221 | 70.2227 | 91.6948 | 106.0046 | F:3,Hard - R:3,Hard |
78.4 -
77.3
70.6 - 69.8 |
87.1% | AIControl |
11 | #62 - Mika Salo - Ferrari 458 GTE | 01:50.8206 | 28.3330 | 34.3682 | 48.1194 | F:3,Hard - R:3,Hard |
77.3 -
75.7
68.6 - 67.8 |
84.7% | AIControl |
12 | #62 - Mika Salo - Ferrari 458 GTE | 04:15.7542 | 48.0889 | 91.6648 | 116.0005 | F:3,Hard - R:3,Hard |
74.5 -
72.9
64.7 - 64.3 |
83.5% | AIControl |
13 | #62 - Mika Salo - Ferrari 458 GTE | 04:37.6353 | 70.0715 | 91.5588 | 116.0049 | F:3,Hard - R:3,Hard |
71.4 -
69.8
60.8 - 60.0 |
82.4% | AIControl |
14 | #62 - Mika Salo - Ferrari 458 GTE | 04:26.8503 | 70.2009 | 91.7742 | 104.8752 | F:3,Hard - R:3,Hard |
68.6 -
66.3
56.9 - 56.1 |
80.8% | AIControl |
15 | #62 - Mika Salo - Ferrari 458 GTE | 01:49.9329 | 27.4866 | 34.3462 | 48.1001 | F:3,Hard - R:3,Hard |
67.1 -
65.1
54.9 - 54.1 |
78.4% | AIControl |
Average | 04:05.9448 | 55.8971 | 92.6163 | 97.4314 | |||||
Best possible | 01:49.8647 | 27.4184 | 34.3462 | 48.1001 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #02 - Jazeman Jaafar - Ferrari 458 GTE | 04:36.9147 | 54.1190 | 163.7748 | 59.0209 | F:3,Hard - R:3,Hard |
97.6 -
97.6
96.1 - 96.5 |
96.5% | AIControl |
2 | #02 - Jazeman Jaafar - Ferrari 458 GTE | 05:00.8690 | 37.8466 | 133.4224 | 129.6000 | F:3,Hard - R:3,Hard |
94.5 -
94.5
91.8 - 91.8 |
94.1% | AIControl |
3 (P: 34.7946) | #02 - Jazeman Jaafar - Ferrari 458 GTE | 05:53.8873 | 80.1119 | 104.7930 | 168.9824 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 (P: 4.9192) | #02 - Jazeman Jaafar - Ferrari 458 GTE | 02:53.0514 | 35.2795 | 35.1122 | 102.6597 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
5 | #02 - Jazeman Jaafar - Ferrari 458 GTE | 05:07.8105 | 71.7268 | 103.4659 | 132.6178 | F:3,Hard - R:3,Hard |
96.5 -
96.5
95.3 - 95.3 |
97.6% | AIControl |
6 | #02 - Jazeman Jaafar - Ferrari 458 GTE | 05:14.5269 | 79.6016 | 103.6396 | 131.2856 | F:3,Hard - R:3,Hard |
92.9 -
92.5
90.6 - 90.2 |
95.3% | AIControl |
7 (P: -22.3357) | #02 - Jazeman Jaafar - Ferrari 458 GTE | 03:25.5516 | 60.8591 | 38.7375 | 105.9550 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
8 | #02 - Jazeman Jaafar - Ferrari 458 GTE | 03:22.8246 | 41.1766 | 49.2137 | 112.4342 | F:3,Hard - R:3,Hard |
97.6 -
97.3
96.9 - 96.9 |
98% | AIControl |
9 | #02 - Jazeman Jaafar - Ferrari 458 GTE | 04:36.5981 | 70.1445 | 91.3708 | 115.0828 | F:3,Hard - R:3,Hard |
94.5 -
94.1
92.5 - 92.5 |
96.5% | AIControl |
10 | #02 - Jazeman Jaafar - Ferrari 458 GTE | 04:32.3479 | 69.2329 | 91.8093 | 111.3057 | F:3,Hard - R:3,Hard |
91.4 -
91.0
88.6 - 88.2 |
94.9% | AIControl |
11 (P: -28.1819) | #02 - Jazeman Jaafar - Ferrari 458 GTE | 03:38.4194 | 29.2515 | 87.1953 | 101.9727 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
12 | #02 - Jazeman Jaafar - Ferrari 458 GTE | 02:36.5237 | 39.3127 | 51.0554 | 66.1555 | F:3,Hard - R:3,Hard |
98.0 -
98.0
97.3 - 97.3 |
97.6% | AIControl |
13 | #02 - Jazeman Jaafar - Ferrari 458 GTE | 04:30.5872 | 64.2100 | 91.7676 | 114.6096 | F:3,Hard - R:3,Hard |
95.3 -
94.9
93.3 - 92.9 |
96.5% | AIControl |
14 | #02 - Jazeman Jaafar - Ferrari 458 GTE | 04:28.6936 | 66.3337 | 91.5103 | 110.8496 | F:3,Hard - R:3,Hard |
92.2 -
91.8
89.4 - 89.0 |
94.9% | AIControl |
Average | 04:17.0433 | 57.0862 | 88.3477 | 111.6094 | |||||
Best possible | 02:03.3846 | 29.2515 | 35.1122 | 59.0209 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 (P: -0.0197) | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 04:52.3311 | 50.0597 | 131.7908 | 110.4806 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
2 (P: -62.1864) | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 11:49.9988 | 40.1767 | 610.6239 | 59.1983 | F:3,Hard - R:3,Hard |
97.3 -
97.3
96.1 - 96.1 |
97.6% | AIControl |
3 | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 02:01.8842 | 29.2923 | 37.5044 | 55.0875 | F:3,Hard - R:3,Hard |
95.7 -
95.3
94.1 - 93.7 |
95.3% | AIControl |
4 (P: 85.9238) | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 05:49.1639 | 71.1006 | 103.7114 | 174.3519 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
5 | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 04:59.1785 | 62.2489 | 103.9243 | 133.0052 | F:3,Hard - R:3,Hard |
96.5 -
96.5
95.3 - 95.3 |
98.4% | AIControl |
6 (P: 10.6572) | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 03:05.9822 | 36.8030 | 45.2462 | 103.9330 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
7 | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 04:29.7767 | 57.4012 | 94.8901 | 117.4854 | F:3,Hard - R:3,Hard |
96.9 -
96.9
96.1 - 95.7 |
98.4% | AIControl |
8 | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 04:16.8354 | 69.6086 | 97.1025 | 90.1243 | F:3,Hard - R:3,Hard |
94.1 -
93.7
92.2 - 91.8 |
97.3% | AIControl |
9 | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 03:39.7031 | 40.9114 | 84.9675 | 93.8242 | F:3,Hard - R:3,Hard |
91.8 -
91.0
88.6 - 88.2 |
95.3% | AIControl |
10 | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 02:18.3354 | 29.9773 | 59.5002 | 48.8579 | F:3,Hard - R:3,Hard |
89.8 -
89.0
86.3 - 85.5 |
92.9% | AIControl |
11 | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 03:23.9888 | 39.5554 | 49.7659 | 114.6675 | F:3,Hard - R:3,Hard |
87.8 -
86.7
83.1 - 82.4 |
91% | AIControl |
12 | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 04:36.2825 | 69.6777 | 91.7551 | 114.8496 | F:3,Hard - R:3,Hard |
84.7 -
83.5
78.8 - 78.4 |
89.8% | AIControl |
13 | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 04:32.3342 | 69.8372 | 91.8364 | 110.6606 | F:3,Hard - R:3,Hard |
81.6 -
80.4
74.9 - 74.1 |
88.2% | AIControl |
Average | 04:36.5997 | 51.2808 | 123.2784 | 102.0405 | |||||
Best possible | 01:55.6546 | 29.2923 | 37.5044 | 48.8579 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #61 - Sebastian Vettel - Ferrari 458 GTE | 03:32.4610 | 51.6603 | 92.0226 | 68.7781 | F:3,Hard - R:3,Hard |
97.6 -
97.6
96.9 - 96.5 |
96.9% | AIControl |
2 | #61 - Sebastian Vettel - Ferrari 458 GTE | 05:20.1318 | 37.6876 | 151.8925 | 130.5518 | F:3,Hard - R:3,Hard |
94.9 -
94.5
92.9 - 92.5 |
94.9% | AIControl |
3 | #61 - Sebastian Vettel - Ferrari 458 GTE | 04:54.9420 | 78.6061 | 97.4460 | 118.8899 | F:3,Hard - R:3,Hard |
91.4 -
91.0
87.8 - 88.2 |
93.3% | AIControl |
4 (P: 32.0655) | #61 - Sebastian Vettel - Ferrari 458 GTE | 04:04.4528 | 44.5122 | 91.7753 | 108.1653 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
5 | #61 - Sebastian Vettel - Ferrari 458 GTE | 05:03.4369 | 73.0416 | 103.9403 | 126.4550 | F:3,Hard - R:3,Hard |
96.5 -
96.5
95.3 - 95.3 |
98% | AIControl |
6 (P: 11.1092) | #61 - Sebastian Vettel - Ferrari 458 GTE | 03:28.2043 | 38.0098 | 52.5839 | 117.6107 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
7 | #61 - Sebastian Vettel - Ferrari 458 GTE | 03:22.1467 | 42.6399 | 52.0272 | 107.4796 | F:3,Hard - R:3,Hard |
97.6 -
97.6
96.9 - 96.9 |
98% | AIControl |
8 (P: 0.1381) | #61 - Sebastian Vettel - Ferrari 458 GTE | 03:07.9297 | 28.0778 | 54.6355 | 105.2164 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
9 | #61 - Sebastian Vettel - Ferrari 458 GTE | 04:16.6523 | 44.0631 | 94.8217 | 117.7676 | F:3,Hard - R:3,Hard |
97.3 -
96.9
96.1 - 96.1 |
98.4% | AIControl |
10 | #61 - Sebastian Vettel - Ferrari 458 GTE | 04:17.7583 | 69.4207 | 97.0981 | 91.2395 | F:3,Hard - R:3,Hard |
94.1 -
93.7
92.2 - 92.2 |
96.9% | AIControl |
11 | #61 - Sebastian Vettel - Ferrari 458 GTE | 03:36.9146 | 41.3386 | 83.4263 | 92.1497 | F:3,Hard - R:3,Hard |
91.8 -
91.4
88.6 - 88.6 |
95.3% | AIControl |
12 (P: -7.9319) | #61 - Sebastian Vettel - Ferrari 458 GTE | 03:30.0081 | 29.8015 | 78.8105 | 101.3960 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
13 | #61 - Sebastian Vettel - Ferrari 458 GTE | 02:39.9775 | 39.8135 | 50.3174 | 69.8467 | F:3,Hard - R:3,Hard |
98.0 -
98.0
97.3 - 97.3 |
97.6% | AIControl |
Average | 03:56.5397 | 47.5902 | 84.6767 | 104.2728 | |||||
Best possible | 02:27.1733 | 28.0778 | 50.3174 | 68.7781 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #05 - Esteban Ocon - Ferrari 458 GTE | 02:18.4136 | 43.8099 | 45.8212 | 48.7825 | F:3,Hard - R:3,Hard |
98.4 -
98.0
97.6 - 97.6 |
97.3% | AIControl |
2 | #05 - Esteban Ocon - Ferrari 458 GTE | 05:29.4786 | 38.2727 | 158.3779 | 132.8280 | F:3,Hard - R:3,Hard |
95.3 -
94.5
93.3 - 92.9 |
95.7% | AIControl |
3 (P: 89.2962) | #05 - Esteban Ocon - Ferrari 458 GTE | 06:17.8813 | 78.3656 | 130.7059 | 168.8098 | F:3,Hard - R:3,Hard |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | #05 - Esteban Ocon - Ferrari 458 GTE | 03:09.1080 | 41.3106 | 82.9294 | 64.8680 | F:3,Hard - R:3,Hard |
97.6 -
97.6
96.9 - 96.9 |
97.6% | AIControl |
5 | #05 - Esteban Ocon - Ferrari 458 GTE | 01:51.1805 | 27.6489 | 34.8105 | 48.7211 | F:3,Hard - R:3,Hard |
96.5 -
96.1
94.9 - 94.9 |
95.3% | AIControl |
Average | 03:49.2124 | 45.8815 | 90.5290 | 92.8019 | |||||
Best possible | 01:51.1805 | 27.6489 | 34.8105 | 48.7211 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Mika S (AI) | #62 - Mika Salo - Ferrari 458 GTE | 01:49.9329 | |
Mika S (AI) | #62 - Mika Salo - Ferrari 458 GTE | 01:50.8206 | 0.8877 |
Esteban O (AI) | #05 - Esteban Ocon - Ferrari 458 GTE | 01:51.1805 | 1.2476 |
Antonio G (AI) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 01:52.2667 | 2.3338 |
Antonio G (AI) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 01:53.8754 | 3.9425 |
Mika S (AI) | #62 - Mika Salo - Ferrari 458 GTE | 01:58.4638 | 8.5309 |
Giancarlo F (AI) | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 02:01.8842 | 11.9513 |
Antonio G (AI) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 02:15.1604 | 25.2275 |
Andrea I (AI) | #59 - Andrea Iannone - Ferrari 458 GTE | 02:15.3987 | 25.4658 |
Giancarlo F (AI) | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 02:18.3354 | 28.4025 |
Esteban O (AI) | #05 - Esteban Ocon - Ferrari 458 GTE | 02:18.4136 | 28.4807 |
Mika S (AI) | #62 - Mika Salo - Ferrari 458 GTE | 02:27.2728 | 37.3399 |
Jazeman J (AI) | #02 - Jazeman Jaafar - Ferrari 458 GTE | 02:36.5237 | 46.5908 |
Antonio G (AI) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 02:38.3589 | 48.426 |
Sebastian V (AI) | #61 - Sebastian Vettel - Ferrari 458 GTE | 02:39.9775 | 50.0446 |
Andrea I (AI) | #59 - Andrea Iannone - Ferrari 458 GTE | 02:42.7634 | 52.8305 |
Jazeman J (AI) | #02 - Jazeman Jaafar - Ferrari 458 GTE | 02:53.0514 | 63.1185 |
Andrea I (AI) | #59 - Andrea Iannone - Ferrari 458 GTE | 02:56.1653 | 66.2324 |
Antonio G (AI) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 02:58.7351 | 68.8022 |
Antonio G (AI) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 02:58.7399 | 68.807 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Mika S (AI) | #62 - Mika Salo - Ferrari 458 GTE | 01:49.9329 | |
Esteban O (AI) | #05 - Esteban Ocon - Ferrari 458 GTE | 01:51.1805 | 1.2476 |
Antonio G (AI) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | 01:52.2667 | 2.3338 |
Giancarlo F (AI) | #51 - Giancarlo Fisichella - Ferrari 458 GTE | 02:01.8842 | 11.9513 |
Andrea I (AI) | #59 - Andrea Iannone - Ferrari 458 GTE | 02:15.3987 | 25.4658 |
Jazeman J (AI) | #02 - Jazeman Jaafar - Ferrari 458 GTE | 02:36.5237 | 46.5908 |
Sebastian V (AI) | #61 - Sebastian Vettel - Ferrari 458 GTE | 02:39.9775 | 50.0446 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Mika S (AI) | #62 - Mika Salo - Ferrari 458 GTE | 95.72% <> 4.7093 |
Antonio G (AI) | #21 - Antonio Giovinazzi - Ferrari 458 GTE | - |
Andrea I (AI) | #59 - Andrea Iannone - Ferrari 458 GTE | - |
Jazeman J (AI) | #02 - Jazeman Jaafar - Ferrari 458 GTE | - |
Giancarlo F (AI) | #51 - Giancarlo Fisichella - Ferrari 458 GTE | - |
Sebastian V (AI) | #61 - Sebastian Vettel - Ferrari 458 GTE | - |
Esteban O (AI) | #05 - Esteban Ocon - Ferrari 458 GTE | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Mika S (AI) | 27.4184 | - |
Antonio G (AI) | 27.6095 | 0.1911 |
Esteban O (AI) | 27.6489 | 0.2305 |
Sebastian V (AI) | 28.0778 | 0.6594 |
Jazeman J (AI) | 29.2515 | 1.8331 |
Giancarlo F (AI) | 29.2923 | 1.8739 |
Andrea I (AI) | 31.0488 | 3.6304 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Mika S (AI) | 34.3462 | - |
Antonio G (AI) | 34.7611 | 0.4149 |
Esteban O (AI) | 34.8105 | 0.4643 |
Jazeman J (AI) | 35.1122 | 0.7660 |
Giancarlo F (AI) | 37.5044 | 3.1582 |
Andrea I (AI) | 40.0364 | 5.6902 |
Sebastian V (AI) | 50.3174 | 15.9712 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Mika S (AI) | 48.1001 | - |
Esteban O (AI) | 48.7211 | 0.6210 |
Giancarlo F (AI) | 48.8579 | 0.7578 |
Andrea I (AI) | 49.0485 | 0.9484 |
Antonio G (AI) | 49.2521 | 1.1520 |
Jazeman J (AI) | 59.0209 | 10.9208 |
Sebastian V (AI) | 68.7781 | 20.6780 |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Rory B (AI) |
Led most laps | Rory B (AI) |
Best lap | Rory B (AI) (02:08.4042) |
Max minutes | 60 |
Lasted laps | 14 |
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, 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 | ▴ 56 | 6 | Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 14 | 01:00:16.9801 | 02:08.4042 | - | 0 | 3 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 05:15.6256 | 68.0891 | 193.2323 | 54.3043 | F:2,Medium - R:2,Medium |
95.3 -
95.7
96.9 - 96.9 |
96.9% | AIControl |
2 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 05:50.6170 | 70.7303 | 141.9052 | 137.9816 | F:2,Medium - R:2,Medium |
91.0 -
91.0
93.7 - 93.3 |
95.7% | AIControl |
3 (P: 112.3202) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 06:26.8066 | 52.3093 | 104.9575 | 229.5399 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 02:08.4042 | 34.7485 | 38.2183 | 55.4374 | F:2,Medium - R:2,Medium |
97.6 -
97.3
98.4 - 98.0 |
97.6% | AIControl |
5 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 05:00.8987 | 41.4200 | 89.4469 | 170.0317 | F:2,Medium - R:2,Medium |
93.7 -
93.3
96.1 - 95.3 |
96.1% | AIControl |
6 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 05:02.5831 | 78.4573 | 105.8004 | 118.3254 | F:2,Medium - R:2,Medium |
89.8 -
89.0
92.9 - 92.5 |
95.3% | AIControl |
7 (P: 2.7376) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 03:23.3341 | 30.6857 | 58.4886 | 114.1598 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
8 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 04:03.4913 | 40.5460 | 84.9297 | 118.0156 | F:2,Medium - R:2,Medium |
96.5 -
96.1
97.6 - 97.3 |
98.8% | AIControl |
9 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 04:18.4148 | 69.2354 | 97.2102 | 91.9692 | F:2,Medium - R:2,Medium |
92.5 -
92.5
95.3 - 94.9 |
97.6% | AIControl |
10 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 03:39.3855 | 41.9063 | 82.0422 | 95.4370 | F:2,Medium - R:2,Medium |
89.4 -
89.0
92.9 - 92.5 |
96.1% | AIControl |
11 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 02:35.1299 | 30.3152 | 71.4172 | 53.3975 | F:2,Medium - R:2,Medium |
86.7 -
86.3
91.4 - 90.6 |
93.7% | AIControl |
12 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 03:04.6824 | 38.6726 | 50.1873 | 95.8225 | F:2,Medium - R:2,Medium |
83.9 -
83.1
89.8 - 88.6 |
92.5% | AIControl |
13 (P: 61.8668) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 05:24.6362 | 70.0344 | 91.7021 | 162.8997 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
14 | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 04:02.9707 | 50.9353 | 102.9639 | 89.0715 | F:2,Medium - R:2,Medium |
96.5 -
96.1
97.6 - 97.3 |
98.4% | AIControl |
Average | 04:18.3557 | 51.2918 | 93.7501 | 113.3138 | |||||
Best possible | 02:01.9310 | 30.3152 | 38.2183 | 53.3975 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 02:08.4042 | |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 02:35.1299 | 26.7257 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 03:04.6824 | 56.2782 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 03:23.3341 | 74.9299 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 03:39.3855 | 90.9813 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 04:02.9707 | 114.5665 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 04:03.4913 | 115.0871 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 04:18.4148 | 130.0106 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 05:00.8987 | 172.4945 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 05:02.5831 | 174.1789 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 05:15.6256 | 187.2214 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 05:24.6362 | 196.232 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 05:50.6170 | 222.2128 |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 06:26.8066 | 258.4024 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | 02:08.4042 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Rory B (AI) | Team Shredded Wheat Racing #6 Rory Butcher '17 - Ford Focus | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Rory B (AI) | 30.3152 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Rory B (AI) | 38.2183 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Rory B (AI) | 53.3975 | - |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Ricardo S |
Led most laps | Ricardo S |
Max minutes | 60 |
Lasted laps | 0 |
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, 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 | ▴ 34 | Ricardo S | #775 - Ricardo Serain - Gol G1 | 0 | Engine | - | - | 0 | - |
2 | ▴ 34 | Leandro S | #96 Leandro Schulz - Gol G1 | 0 | DNF | - | - | 0 | - |
Date | Incident |
---|---|
20:13:55 | Sorry, way too many incidents to show! |
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Gol G2 |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Sandro A (AI) |
Led most laps | Sandro A (AI) |
Best lap | Sandro A (AI) (02:15.3925) |
Max minutes | 60 |
Lasted laps | 16 |
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, 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 | ▴ 51 | Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 16 | 01:02:32.1235 | 02:15.3925 | 91.10% | 0 | 1 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #896 - Sandro Grenier Anadi - Gol G2 | 04:26.3911 | 67.4684 | 125.7319 | 73.1909 | F:0,Race - R:0,Race |
94.9 -
94.5
94.5 - 94.5 |
91.4% | AIControl |
2 | #896 - Sandro Grenier Anadi - Gol G2 | 04:15.7210 | 40.3378 | 82.1456 | 133.2377 | F:0,Race - R:0,Race |
89.8 -
89.4
89.8 - 89.8 |
89% | AIControl |
3 (P: 27.6029) | #896 - Sandro Grenier Anadi - Gol G2 | 05:25.4854 | 78.7701 | 107.2497 | 139.4655 | F:0,Race - R:0,Race |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | #896 - Sandro Grenier Anadi - Gol G2 | 03:14.8309 | 41.6230 | 81.3427 | 71.8653 | F:0,Race - R:0,Race |
95.7 -
95.3
95.7 - 95.7 |
95.3% | AIControl |
5 | #896 - Sandro Grenier Anadi - Gol G2 | 02:15.3925 | 33.6388 | 42.6152 | 59.1384 | F:0,Race - R:0,Race |
92.9 -
92.2
93.3 - 92.9 |
89% | AIControl |
6 | #896 - Sandro Grenier Anadi - Gol G2 | 04:40.9406 | 39.1974 | 92.2638 | 149.4794 | F:0,Race - R:0,Race |
87.5 -
86.3
88.6 - 87.5 |
86.7% | AIControl |
7 | #896 - Sandro Grenier Anadi - Gol G2 | 05:11.9011 | 74.3369 | 103.9552 | 133.6090 | F:0,Race - R:0,Race |
79.6 -
78.0
81.2 - 79.6 |
83.5% | AIControl |
8 | #896 - Sandro Grenier Anadi - Gol G2 | 02:34.3280 | 42.4652 | 52.1803 | 59.6825 | F:0,Race - R:0,Race |
76.5 -
74.5
78.0 - 76.5 |
77.6% | AIControl |
9 | #896 - Sandro Grenier Anadi - Gol G2 | 03:27.3065 | 40.3436 | 51.9469 | 115.0160 | F:0,Race - R:0,Race |
72.2 -
69.8
74.1 - 72.5 |
74.9% | AIControl |
10 | #896 - Sandro Grenier Anadi - Gol G2 | 04:36.1450 | 70.0415 | 91.6538 | 114.4497 | F:0,Race - R:0,Race |
66.7 -
63.9
69.4 - 67.8 |
72.5% | AIControl |
11 | #896 - Sandro Grenier Anadi - Gol G2 | 04:35.9856 | 69.9399 | 91.6804 | 114.3652 | F:0,Race - R:0,Race |
61.2 -
57.6
64.7 - 62.4 |
70.2% | AIControl |
12 | #896 - Sandro Grenier Anadi - Gol G2 | 02:20.5547 | 34.4358 | 45.9580 | 60.1609 | F:0,Race - R:0,Race |
58.4 -
54.5
62.0 - 59.6 |
64.3% | AIControl |
13 | #896 - Sandro Grenier Anadi - Gol G2 | 03:38.4312 | 41.3284 | 61.2007 | 115.9021 | F:0,Race - R:0,Race |
54.1 -
49.8
58.0 - 55.3 |
61.2% | AIControl |
14 | #896 - Sandro Grenier Anadi - Gol G2 | 04:36.9661 | 70.1094 | 91.4780 | 115.3787 | F:0,Race - R:0,Race |
48.6 -
43.9
52.9 - 50.2 |
59.2% | AIControl |
15 | #896 - Sandro Grenier Anadi - Gol G2 | 04:33.6765 | 70.0229 | 91.8882 | 111.7654 | F:0,Race - R:0,Race |
43.1 -
38.4
48.2 - 45.5 |
56.9% | AIControl |
16 | #896 - Sandro Grenier Anadi - Gol G2 | 02:38.0674 | 34.8914 | 55.4609 | 67.7151 | F:0,Race - R:0,Race |
39.6 -
34.1
45.1 - 42.0 |
50.6% | AIControl |
Average | 03:54.5078 | 53.0594 | 79.2970 | 102.1514 | |||||
Best possible | 02:15.3924 | 33.6388 | 42.6152 | 59.1384 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 02:15.3925 | |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 02:20.5547 | 5.1622 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 02:34.3280 | 18.9355 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 02:38.0674 | 22.6749 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 03:14.8309 | 59.4384 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 03:27.3065 | 71.914 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 03:38.4312 | 83.0387 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 04:15.7210 | 120.3285 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 04:26.3911 | 130.9986 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 04:33.6765 | 138.284 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 04:35.9856 | 140.5931 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 04:36.1450 | 140.7525 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 04:36.9661 | 141.5736 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 04:40.9406 | 145.5481 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 05:11.9011 | 176.5086 |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 05:25.4854 | 190.0929 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 02:15.3925 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Sandro A (AI) | #896 - Sandro Grenier Anadi - Gol G2 | 91.10% <> 12.0489 |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Sandro A (AI) | 33.6388 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Sandro A (AI) | 42.6152 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Sandro A (AI) | 59.1384 | - |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Renato B (AI) |
Led most laps | Alexandre V (AI) |
Best lap | Renato B (AI) (01:46.4473) |
Max minutes | 60 |
Lasted laps | 16 |
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, 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 | ▴ 1 | Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 16 | 01:01:25.6497 | 01:46.4473 | 94.90% | 6 | 1 | AIControl |
2 | ▴ 3 | Gustavo M (AI) | #012 - Gustavo Manica - Gol G4 (GolG4) | 16 | +00:00:08.0844 | 01:51.0154 | 90.59% | 0 | 2 | AIControl |
3 | ▸ 0 | Alexandre V (AI) | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 16 | +00:00:11.1987 | 01:51.1650 | 94.22% | 9 | 1 | AIControl |
4 | ▴ 13 | Charles U (AI) | #34 -Charles Uscocovich - Gol G4 (GolG4) | 16 | +00:00:11.4480 | 01:50.9287 | - | 0 | 3 | AIControl |
5 | ▴ 33 | Fernando P (AI) | #211 - Fernando Pramio - Gol G2 (GolG4) | 13 | +3 laps | 02:19.4529 | - | 0 | 3 | AIControl |
6 | ▾ 2 | Alessandro S (AI) | #323 - Alessandro Silva - Gol G4 (GolG4) | 2 | Engine | 01:54.2312 | - | 0 | 1 | AIControl |
7 | ▾ 6 | Leandro B (AI) | #777 - Leandro Branco - Gol G4 (GolG4) | 1 | Accident | 01:49.4030 | - | 1 | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #330 - Renato Brizolari - Gol G4 (GolG4) | 01:50.4754 | 31.9607 | 32.7087 | 45.8059 | F:0,Race - R:0,Race |
97.6 -
97.3
97.6 - 97.3 |
96.9% | AIControl |
2 | #330 - Renato Brizolari - Gol G4 (GolG4) | 05:02.3405 | 53.0306 | 122.4175 | 126.8924 | F:0,Race - R:0,Race |
92.2 -
91.4
92.5 - 92.2 |
95.3% | AIControl |
3 | #330 - Renato Brizolari - Gol G4 (GolG4) | 05:07.6598 | 72.7051 | 103.1716 | 131.7830 | F:0,Race - R:0,Race |
85.9 -
83.9
86.7 - 85.5 |
92.2% | AIControl |
4 (P: 26.2204) | #330 - Renato Brizolari - Gol G4 (GolG4) | 04:17.0374 | 40.7346 | 66.9400 | 149.3627 | F:0,Race - R:0,Race |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
5 | #330 - Renato Brizolari - Gol G4 (GolG4) | 01:56.0316 | 29.5901 | 33.3703 | 53.0712 | F:0,Race - R:0,Race |
97.6 -
97.3
97.6 - 97.3 |
97.3% | AIControl |
6 | #330 - Renato Brizolari - Gol G4 (GolG4) | 05:10.3605 | 79.7582 | 103.7236 | 126.8787 | F:0,Race - R:0,Race |
92.2 -
91.8
92.9 - 92.5 |
96.1% | AIControl |
7 | #330 - Renato Brizolari - Gol G4 (GolG4) | 05:12.5461 | 79.0082 | 103.0826 | 130.4553 | F:0,Race - R:0,Race |
87.1 -
85.9
88.6 - 88.2 |
94.9% | AIControl |
8 | #330 - Renato Brizolari - Gol G4 (GolG4) | 02:36.0233 | 66.5714 | 35.4047 | 54.0472 | F:0,Race - R:0,Race |
84.3 -
82.7
85.9 - 85.1 |
92.5% | AIControl |
9 | #330 - Renato Brizolari - Gol G4 (GolG4) | 04:10.1129 | 44.1396 | 90.0287 | 115.9446 | F:0,Race - R:0,Race |
80.0 -
78.0
82.0 - 81.2 |
90.6% | AIControl |
10 | #330 - Renato Brizolari - Gol G4 (GolG4) | 04:37.0867 | 70.1282 | 91.4795 | 115.4790 | F:0,Race - R:0,Race |
75.3 -
72.9
78.0 - 76.9 |
89% | AIControl |
11 | #330 - Renato Brizolari - Gol G4 (GolG4) | 04:27.2693 | 70.2336 | 91.7068 | 105.3289 | F:0,Race - R:0,Race |
70.6 -
68.2
74.1 - 72.9 |
87.1% | AIControl |
12 | #330 - Renato Brizolari - Gol G4 (GolG4) | 01:46.4473 | 26.8284 | 33.0278 | 46.5911 | F:0,Race - R:0,Race |
68.2 -
65.5
71.8 - 70.2 |
84.3% | AIControl |
13 | #330 - Renato Brizolari - Gol G4 (GolG4) | 04:20.8333 | 53.1614 | 91.6692 | 116.0027 | F:0,Race - R:0,Race |
63.5 -
60.0
67.5 - 65.5 |
83.1% | AIControl |
14 | #330 - Renato Brizolari - Gol G4 (GolG4) | 04:37.6260 | 70.0710 | 91.5503 | 116.0046 | F:0,Race - R:0,Race |
58.8 -
54.9
63.1 - 61.2 |
82% | AIControl |
15 | #330 - Renato Brizolari - Gol G4 (GolG4) | 04:26.0737 | 70.2102 | 91.7729 | 104.0906 | F:0,Race - R:0,Race |
54.1 -
49.8
59.2 - 56.9 |
80.4% | AIControl |
16 | #330 - Renato Brizolari - Gol G4 (GolG4) | 01:47.7261 | 26.5303 | 33.6570 | 47.5388 | F:0,Race - R:0,Race |
51.8 -
46.7
56.9 - 54.1 |
77.6% | AIControl |
Average | 03:50.3532 | 55.2914 | 75.9820 | 99.0798 | |||||
Best possible | 01:45.0449 | 26.5303 | 32.7087 | 45.8059 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #012 - Gustavo Manica - Gol G4 (GolG4) | 01:55.1627 | 33.6977 | 34.0846 | 47.3804 | F:0,Race - R:0,Race |
97.6 -
97.3
97.6 - 97.3 |
97.3% | AIControl |
2 | #012 - Gustavo Manica - Gol G4 (GolG4) | 05:38.0497 | 50.0104 | 132.2439 | 155.7953 | F:0,Race - R:0,Race |
90.2 -
91.4
90.2 - 91.8 |
95.3% | AIControl |
3 | #012 - Gustavo Manica - Gol G4 (GolG4) | 05:03.0796 | 77.7748 | 106.5352 | 118.7697 | F:0,Race - R:0,Race |
84.7 -
85.5
85.5 - 86.3 |
93.7% | AIControl |
4 | #012 - Gustavo Manica - Gol G4 (GolG4) | 04:02.8853 | 77.8972 | 105.8342 | 59.1539 | F:0,Race - R:0,Race |
80.0 -
80.8
81.2 - 82.4 |
90.6% | AIControl |
5 | #012 - Gustavo Manica - Gol G4 (GolG4) | 02:02.7036 | 31.5054 | 38.0303 | 53.1678 | F:0,Race - R:0,Race |
77.6 -
77.6
78.8 - 79.6 |
87.8% | AIControl |
6 | #012 - Gustavo Manica - Gol G4 (GolG4) | 05:10.6331 | 72.8724 | 103.6847 | 134.0759 | F:0,Race - R:0,Race |
72.5 -
72.2
74.5 - 74.9 |
86.7% | AIControl |
7 (P: 34.5248) | #012 - Gustavo Manica - Gol G4 (GolG4) | 05:24.3613 | 78.9031 | 103.3143 | 142.1439 | F:0,Race - R:0,Race |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
8 (P: -36.4317) | #012 - Gustavo Manica - Gol G4 (GolG4) | 02:45.1909 | 45.3795 | 43.2256 | 76.5858 | F:0,Race - R:0,Race |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
9 | #012 - Gustavo Manica - Gol G4 (GolG4) | 03:29.5957 | 39.9811 | 54.2479 | 115.3667 | F:0,Race - R:0,Race |
96.1 -
95.7
96.5 - 96.5 |
98% | AIControl |
10 | #012 - Gustavo Manica - Gol G4 (GolG4) | 04:36.2559 | 70.1272 | 91.7258 | 114.4028 | F:0,Race - R:0,Race |
91.4 -
91.0
92.5 - 92.2 |
96.5% | AIControl |
11 | #012 - Gustavo Manica - Gol G4 (GolG4) | 04:29.7332 | 69.9546 | 91.6584 | 108.1201 | F:0,Race - R:0,Race |
86.7 -
85.9
88.2 - 87.8 |
94.5% | AIControl |
12 | #012 - Gustavo Manica - Gol G4 (GolG4) | 02:00.2200 | 28.1392 | 39.8523 | 52.2285 | F:0,Race - R:0,Race |
84.3 -
82.7
85.9 - 85.1 |
91.8% | AIControl |
13 | #012 - Gustavo Manica - Gol G4 (GolG4) | 03:59.7180 | 38.9204 | 84.8794 | 115.9182 | F:0,Race - R:0,Race |
80.0 -
78.4
82.4 - 81.2 |
90.2% | AIControl |
14 | #012 - Gustavo Manica - Gol G4 (GolG4) | 04:37.6719 | 70.1035 | 91.5664 | 116.0020 | F:0,Race - R:0,Race |
75.3 -
72.9
78.0 - 76.9 |
88.6% | AIControl |
15 | #012 - Gustavo Manica - Gol G4 (GolG4) | 04:27.4580 | 70.1482 | 91.7815 | 105.5283 | F:0,Race - R:0,Race |
71.0 -
68.2
74.1 - 72.5 |
86.7% | AIControl |
16 | #012 - Gustavo Manica - Gol G4 (GolG4) | 01:51.0154 | 28.0808 | 34.9988 | 47.9358 | F:0,Race - R:0,Race |
68.2 -
65.1
71.4 - 69.8 |
83.9% | AIControl |
Average | 03:50.8584 | 55.2185 | 77.9790 | 97.6609 | |||||
Best possible | 01:49.5458 | 28.0808 | 34.0846 | 47.3804 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 01:53.3727 | 32.9733 | 33.7296 | 46.6698 | F:0,Race - R:0,Race |
97.6 -
97.3
97.6 - 97.6 |
97.3% | AIControl |
2 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 04:58.0099 | 50.6679 | 119.8488 | 127.4932 | F:0,Race - R:0,Race |
92.2 -
91.8
92.2 - 92.5 |
95.7% | AIControl |
3 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 05:08.5622 | 72.4090 | 102.5067 | 133.6464 | F:0,Race - R:0,Race |
87.1 -
86.3
87.5 - 87.8 |
94.5% | AIControl |
4 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 03:56.3423 | 49.8089 | 59.0222 | 127.5112 | F:0,Race - R:0,Race |
82.7 -
81.6
83.5 - 83.5 |
92.5% | AIControl |
5 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 01:53.6849 | 28.6350 | 34.9296 | 50.1202 | F:0,Race - R:0,Race |
80.4 -
78.8
81.2 - 81.2 |
90.2% | AIControl |
6 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 05:09.1105 | 74.3048 | 104.1603 | 130.6454 | F:0,Race - R:0,Race |
75.3 -
73.3
76.9 - 76.5 |
89% | AIControl |
7 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 05:12.5012 | 78.9633 | 102.8323 | 130.7057 | F:0,Race - R:0,Race |
69.8 -
67.8
72.2 - 71.8 |
87.8% | AIControl |
8 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 02:51.0016 | 77.3862 | 42.5332 | 51.0822 | F:0,Race - R:0,Race |
66.7 -
64.3
69.4 - 68.6 |
85.9% | AIControl |
9 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 04:17.9155 | 50.3505 | 91.5907 | 115.9744 | F:0,Race - R:0,Race |
62.4 -
59.6
65.5 - 64.7 |
84.7% | AIControl |
10 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 04:37.6091 | 70.0613 | 91.5659 | 115.9819 | F:0,Race - R:0,Race |
57.6 -
54.5
61.2 - 60.0 |
83.1% | AIControl |
11 (P: -1.8386) | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 04:45.7122 | 70.2285 | 91.7517 | 123.7319 | F:0,Race - R:0,Race |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
12 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 02:01.4890 | 30.0176 | 38.0767 | 53.3948 | F:0,Race - R:0,Race |
97.3 -
96.9
97.3 - 97.3 |
97.6% | AIControl |
13 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 03:54.0447 | 38.8208 | 79.2617 | 115.9622 | F:0,Race - R:0,Race |
93.3 -
92.5
94.1 - 93.7 |
96.1% | AIControl |
14 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 04:37.7407 | 70.0688 | 91.5037 | 116.1682 | F:0,Race - R:0,Race |
88.6 -
87.5
89.8 - 89.4 |
94.1% | AIControl |
15 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 04:28.5869 | 70.0242 | 91.8645 | 106.6982 | F:0,Race - R:0,Race |
83.9 -
82.7
85.9 - 85.1 |
92.2% | AIControl |
16 | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 01:51.1650 | 27.9668 | 34.1001 | 49.0981 | F:0,Race - R:0,Race |
81.6 -
79.2
83.5 - 82.4 |
89.8% | AIControl |
Average | 03:51.0530 | 55.7929 | 75.5799 | 99.6802 | |||||
Best possible | 01:48.3662 | 27.9668 | 33.7296 | 46.6698 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 02:10.9931 | 41.7408 | 41.4200 | 47.8323 | F:0,Race - R:0,Race |
97.3 -
96.9
97.3 - 96.9 |
97.3% | AIControl |
2 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 05:31.0944 | 40.0688 | 137.0353 | 153.9902 | F:0,Race - R:0,Race |
91.0 -
91.0
91.4 - 91.4 |
94.9% | AIControl |
3 (P: 67.0038) | #34 -Charles Uscocovich - Gol G4 (GolG4) | 05:26.0340 | 78.1302 | 110.4979 | 137.4060 | F:0,Race - R:0,Race |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 03:39.2527 | 75.6624 | 94.3992 | 49.1912 | F:0,Race - R:0,Race |
96.1 -
95.7
96.5 - 96.1 |
97.6% | AIControl |
5 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 01:58.8491 | 27.5867 | 36.3925 | 54.8700 | F:0,Race - R:0,Race |
93.7 -
92.5
94.1 - 93.3 |
95.3% | AIControl |
6 (P: 73.2009) | #34 -Charles Uscocovich - Gol G4 (GolG4) | 05:17.9714 | 71.4374 | 103.7732 | 142.7609 | F:0,Race - R:0,Race |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
7 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 05:10.1569 | 76.5046 | 103.2869 | 130.3654 | F:0,Race - R:0,Race |
94.5 -
94.5
95.3 - 95.3 |
98.8% | AIControl |
8 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 02:26.5793 | 47.7273 | 43.1803 | 55.6718 | F:0,Race - R:0,Race |
91.4 -
90.6
92.5 - 91.8 |
96.1% | AIControl |
9 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 03:46.7722 | 37.5256 | 73.3750 | 115.8716 | F:0,Race - R:0,Race |
87.5 -
86.3
89.0 - 88.2 |
94.5% | AIControl |
10 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 04:37.0742 | 70.2002 | 91.4158 | 115.4583 | F:0,Race - R:0,Race |
82.7 -
81.6
85.1 - 83.9 |
92.9% | AIControl |
11 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 04:28.7881 | 70.2983 | 91.4963 | 106.9934 | F:0,Race - R:0,Race |
78.0 -
76.5
80.8 - 80.0 |
91.4% | AIControl |
12 (P: -37.7858) | #34 -Charles Uscocovich - Gol G4 (GolG4) | 02:16.5696 | 28.1638 | 39.1692 | 69.2366 | F:0,Race - R:0,Race |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
13 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 03:49.7874 | 39.0422 | 74.7227 | 116.0225 | F:0,Race - R:0,Race |
95.7 -
95.3
96.1 - 96.1 |
98% | AIControl |
14 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 04:37.6982 | 70.0215 | 91.5242 | 116.1526 | F:0,Race - R:0,Race |
91.0 -
90.2
92.2 - 91.8 |
96.5% | AIControl |
15 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 04:28.5483 | 70.0242 | 91.8721 | 106.6521 | F:0,Race - R:0,Race |
86.3 -
85.5
88.2 - 87.5 |
94.5% | AIControl |
16 | #34 -Charles Uscocovich - Gol G4 (GolG4) | 01:50.9287 | 27.8286 | 34.0845 | 49.0156 | F:0,Race - R:0,Race |
83.9 -
82.4
85.5 - 85.1 |
91.8% | AIControl |
Average | 03:51.0687 | 54.4977 | 78.6028 | 97.9682 | |||||
Best possible | 01:49.5035 | 27.5867 | 34.0845 | 47.8323 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #211 - Fernando Pramio - Gol G2 (GolG4) | 03:59.8827 | 55.6733 | 126.0009 | 58.2085 | F:0,Race - R:0,Race |
95.7 -
94.9
91.8 - 94.5 |
93.7% | AIControl |
2 | #211 - Fernando Pramio - Gol G2 (GolG4) | 07:08.0494 | 38.2727 | 252.1676 | 137.6091 | F:0,Race - R:0,Race |
87.5 -
84.3
81.6 - 82.7 |
89.4% | AIControl |
3 | #211 - Fernando Pramio - Gol G2 (GolG4) | 05:00.6059 | 52.4598 | 106.9424 | 141.2036 | F:0,Race - R:0,Race |
76.1 -
77.3
71.4 - 74.9 |
85.1% | AIControl |
4 (P: -27.3443) | #211 - Fernando Pramio - Gol G2 (GolG4) | 02:19.4529 | 30.3381 | 37.3489 | 71.7660 | F:0,Race - R:0,Race |
99.6 -
100.0
99.6 - 100.0 |
100% | AIControl |
5 | #211 - Fernando Pramio - Gol G2 (GolG4) | 05:05.1609 | 69.0665 | 103.4854 | 132.6090 | F:0,Race - R:0,Race |
93.7 -
93.7
94.5 - 94.5 |
98% | AIControl |
6 | #211 - Fernando Pramio - Gol G2 (GolG4) | 05:14.5376 | 79.6287 | 103.6226 | 131.2864 | F:0,Race - R:0,Race |
87.5 -
87.1
89.4 - 89.0 |
96.5% | AIControl |
7 | #211 - Fernando Pramio - Gol G2 (GolG4) | 02:31.9182 | 59.7925 | 39.0170 | 53.1088 | F:0,Race - R:0,Race |
84.3 -
83.5
86.7 - 86.3 |
92.5% | AIControl |
8 | #211 - Fernando Pramio - Gol G2 (GolG4) | 04:04.7000 | 40.2491 | 88.5563 | 115.8945 | F:0,Race - R:0,Race |
79.6 -
78.0
82.7 - 82.0 |
90.6% | AIControl |
9 | #211 - Fernando Pramio - Gol G2 (GolG4) | 04:37.0981 | 70.1260 | 91.4668 | 115.5054 | F:0,Race - R:0,Race |
74.1 -
72.5
78.0 - 77.3 |
88.6% | AIControl |
10 (P: -6.7105) | #211 - Fernando Pramio - Gol G2 (GolG4) | 04:48.8066 | 70.1997 | 91.7097 | 126.8972 | F:0,Race - R:0,Race |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
11 | #211 - Fernando Pramio - Gol G2 (GolG4) | 05:57.4380 | 34.5691 | 219.8950 | 102.9739 | F:0,Race - R:0,Race |
91.8 -
92.2
89.8 - 91.0 |
95.3% | AIControl |
12 | #211 - Fernando Pramio - Gol G2 (GolG4) | 04:36.3521 | 69.7705 | 91.7178 | 114.8638 | F:0,Race - R:0,Race |
85.1 -
85.1
83.9 - 84.7 |
92.2% | AIControl |
13 (P: 18.9525) | #211 - Fernando Pramio - Gol G2 (GolG4) | 04:49.7698 | 69.8450 | 90.6460 | 129.2788 | F:0,Race - R:0,Race |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
Average | 04:37.9825 | 56.9224 | 110.9674 | 110.0927 | |||||
Best possible | 02:00.7958 | 30.3381 | 37.3489 | 53.1088 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #323 - Alessandro Silva - Gol G4 (GolG4) | 01:54.2312 | 33.5407 | 33.5751 | 47.1154 | F:0,Race - R:0,Race |
97.6 -
97.3
97.6 - 97.3 |
96.9% | AIControl |
2 (P: 99.5481) | #323 - Alessandro Silva - Gol G4 (GolG4) | 09:12.2462 | 50.3530 | 355.2297 | 146.6635 | F:0,Race - R:0,Race |
99.6 -
99.6
99.6 - 99.6 |
100% | AIControl |
Average | 05:33.2388 | 41.9469 | 194.4024 | 96.8895 | |||||
Best possible | 01:54.2312 | 33.5407 | 33.5751 | 47.1154 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #777 - Leandro Branco - Gol G4 (GolG4) | 01:49.4030 | 31.2421 | 32.5003 | 45.6606 | F:0,Race - R:0,Race |
97.6 -
96.9
97.6 - 97.3 |
96.5% | AIControl |
Average | 01:49.4030 | 31.2421 | 32.5003 | 45.6606 | |||||
Best possible | 01:49.4030 | 31.2421 | 32.5003 | 45.6606 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 01:46.4473 | |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 01:47.7261 | 1.2788 |
Leandro B (AI) | #777 - Leandro Branco - Gol G4 (GolG4) | 01:49.4030 | 2.9557 |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 01:50.4754 | 4.0281 |
Charles U (AI) | #34 -Charles Uscocovich - Gol G4 (GolG4) | 01:50.9287 | 4.4814 |
Gustavo M (AI) | #012 - Gustavo Manica - Gol G4 (GolG4) | 01:51.0154 | 4.5681 |
Alexandre V (AI) | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 01:51.1650 | 4.7177 |
Alexandre V (AI) | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 01:53.3727 | 6.9254 |
Alexandre V (AI) | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 01:53.6849 | 7.2376 |
Alessandro S (AI) | #323 - Alessandro Silva - Gol G4 (GolG4) | 01:54.2312 | 7.7839 |
Gustavo M (AI) | #012 - Gustavo Manica - Gol G4 (GolG4) | 01:55.1627 | 8.7154 |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 01:56.0316 | 9.5843 |
Charles U (AI) | #34 -Charles Uscocovich - Gol G4 (GolG4) | 01:58.8491 | 12.4018 |
Gustavo M (AI) | #012 - Gustavo Manica - Gol G4 (GolG4) | 02:00.2200 | 13.7727 |
Alexandre V (AI) | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 02:01.4890 | 15.0417 |
Gustavo M (AI) | #012 - Gustavo Manica - Gol G4 (GolG4) | 02:02.7036 | 16.2563 |
Charles U (AI) | #34 -Charles Uscocovich - Gol G4 (GolG4) | 02:10.9931 | 24.5458 |
Charles U (AI) | #34 -Charles Uscocovich - Gol G4 (GolG4) | 02:16.5696 | 30.1223 |
Fernando P (AI) | #211 - Fernando Pramio - Gol G2 (GolG4) | 02:19.4529 | 33.0056 |
Charles U (AI) | #34 -Charles Uscocovich - Gol G4 (GolG4) | 02:26.5793 | 40.132 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 01:46.4473 | |
Leandro B (AI) | #777 - Leandro Branco - Gol G4 (GolG4) | 01:49.4030 | 2.9557 |
Charles U (AI) | #34 -Charles Uscocovich - Gol G4 (GolG4) | 01:50.9287 | 4.4814 |
Gustavo M (AI) | #012 - Gustavo Manica - Gol G4 (GolG4) | 01:51.0154 | 4.5681 |
Alexandre V (AI) | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 01:51.1650 | 4.7177 |
Alessandro S (AI) | #323 - Alessandro Silva - Gol G4 (GolG4) | 01:54.2312 | 7.7839 |
Fernando P (AI) | #211 - Fernando Pramio - Gol G2 (GolG4) | 02:19.4529 | 33.0056 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Renato B (AI) | #330 - Renato Brizolari - Gol G4 (GolG4) | 94.90% <> 5.4316 |
Alexandre V (AI) | #258 - Alexandre Curti Vasconcelos - Gol G4 (GolG4) | 94.22% <> 6.422 |
Gustavo M (AI) | #012 - Gustavo Manica - Gol G4 (GolG4) | 90.59% <> 10.4464 |
Charles U (AI) | #34 -Charles Uscocovich - Gol G4 (GolG4) | - |
Fernando P (AI) | #211 - Fernando Pramio - Gol G2 (GolG4) | - |
Alessandro S (AI) | #323 - Alessandro Silva - Gol G4 (GolG4) | - |
Leandro B (AI) | #777 - Leandro Branco - Gol G4 (GolG4) | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Renato B (AI) | 26.5303 | - |
Charles U (AI) | 27.5867 | 1.0564 |
Alexandre V (AI) | 27.9668 | 1.4365 |
Gustavo M (AI) | 28.0808 | 1.5505 |
Fernando P (AI) | 30.3381 | 3.8078 |
Leandro B (AI) | 31.2421 | 4.7118 |
Alessandro S (AI) | 33.5407 | 7.0104 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Leandro B (AI) | 32.5003 | - |
Renato B (AI) | 32.7087 | 0.2084 |
Alessandro S (AI) | 33.5751 | 1.0748 |
Alexandre V (AI) | 33.7296 | 1.2293 |
Charles U (AI) | 34.0845 | 1.5842 |
Gustavo M (AI) | 34.0846 | 1.5843 |
Fernando P (AI) | 37.3489 | 4.8486 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Leandro B (AI) | 45.6606 | - |
Renato B (AI) | 45.8059 | 0.1453 |
Alexandre V (AI) | 46.6698 | 1.0092 |
Alessandro S (AI) | 47.1154 | 1.4548 |
Gustavo M (AI) | 47.3804 | 1.7198 |
Charles U (AI) | 47.8323 | 2.1717 |
Fernando P (AI) | 53.1088 | 7.4482 |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Tiago M (AI) |
Led most laps | Tiago M (AI) |
Best lap | Tiago M (AI) (02:05.6147) |
Max minutes | 60 |
Lasted laps | 15 |
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, 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 | ▴ 47 | 18 | Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 15 | 01:02:38.1406 | 02:05.6147 | - | 0 | 3 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Fuel | Aids |
---|---|---|---|---|---|---|---|---|
1 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:24.1880 | 62.3393 | 207.6976 | 54.1512 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 87.8% | AIControl |
2 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:14.2023 | 64.9063 | 115.6677 | 133.6283 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 83.5% | AIControl |
3 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:19.4941 | 79.7953 | 104.9254 | 134.7735 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 79.2% | AIControl |
4 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 02:05.6147 | 31.8926 | 38.7546 | 54.9675 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 72.2% | AIControl |
5 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 04:58.2168 | 71.9899 | 95.2097 | 131.0172 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 65.9% | AIControl |
6 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:11.4397 | 80.0260 | 103.3914 | 128.0223 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 59.6% | AIControl |
7 (P: -31.8456) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 03:56.4858 | 77.6122 | 74.0570 | 84.8167 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
8 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 03:25.2297 | 42.3087 | 50.3177 | 112.6033 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 95.7% | AIControl |
9 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 04:36.0242 | 70.1746 | 91.3298 | 114.5198 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 91% | AIControl |
10 (P: 15.9311) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:01.3469 | 69.8533 | 91.7231 | 139.7705 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
11 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 02:40.0557 | 35.1316 | 71.0640 | 53.8601 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 91.8% | AIControl |
12 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 02:58.4421 | 40.3447 | 50.8789 | 87.2185 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 87.8% | AIControl |
13 (P: 50.1997) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:03.8831 | 69.8452 | 91.7769 | 142.2610 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
14 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 04:17.8606 | 66.9097 | 102.9985 | 87.9524 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 94.5% | AIControl |
15 | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 02:25.6567 | 30.6975 | 49.4980 | 65.4612 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 87.1% | AIControl |
Average | 04:10.5427 | 59.5885 | 89.2860 | 101.6682 | ||||
Best possible | 02:03.3122 | 30.6975 | 38.7546 | 53.8601 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 02:05.6147 | |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 02:25.6567 | 20.042 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 02:40.0557 | 34.441 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 02:58.4421 | 52.8274 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 03:25.2297 | 79.615 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 03:56.4858 | 110.8711 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 04:17.8606 | 132.2459 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 04:36.0242 | 150.4095 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 04:58.2168 | 172.6021 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:01.3469 | 175.7322 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:03.8831 | 178.2684 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:11.4397 | 185.825 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:14.2023 | 188.5876 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:19.4941 | 193.8794 |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 05:24.1880 | 198.5733 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | 02:05.6147 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Tiago M (AI) | #18 Tiago Monteiro - Honda Civic WTCC-TC1 | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Tiago M (AI) | 30.6975 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Tiago M (AI) | 38.7546 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Tiago M (AI) | 53.8601 | - |
Date | Incident |
---|---|
20:13:55 | 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 | Lada Vesta |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Nick C (AI) |
Led most laps | Nick C (AI) |
Best lap | Nick C (AI) (04:09.9965) |
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, 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 | ▴ 45 | 10 | Nick C (AI) | #10 Nick Catsburg - Lada Vesta | 3 | DNF | 04:09.9965 | - | 0 | 1 | AIControl |
2 | ▴ 49 | 7 | Hugo V (AI) | #7 Hugo Valente - Lada Vesta | 1 | DNF | 04:57.0120 | - | 0 | 1 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Fuel | Aids |
---|---|---|---|---|---|---|---|---|
1 | #10 Nick Catsburg - Lada Vesta | 06:52.2932 | 61.3562 | 223.0699 | 127.8672 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 88.2% | AIControl |
2 (P: 38.0169) | #10 Nick Catsburg - Lada Vesta | 05:27.4828 | 72.6864 | 103.1628 | 151.6336 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
3 | #10 Nick Catsburg - Lada Vesta | 04:09.9965 | 59.5652 | 105.9774 | 84.4539 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 94.9% | AIControl |
Average | 05:29.9241 | 64.5359 | 144.0700 | 121.3182 | ||||
Best possible | 04:07.1819 | 59.5652 | 103.1628 | 84.4539 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Fuel | Aids |
---|---|---|---|---|---|---|---|---|
1 (P) | #7 Hugo Valente - Lada Vesta | 04:57.0120 | 63.8779 | 147.1614 | 85.9728 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 99.6% | AIControl |
Average | 04:57.0121 | 63.8779 | 147.1614 | 85.9728 | ||||
Best possible | 04:57.0121 | 63.8779 | 147.1614 | 85.9728 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Nick C (AI) | #10 Nick Catsburg - Lada Vesta | 04:09.9965 | |
Hugo V (AI) | #7 Hugo Valente - Lada Vesta | 04:57.0120 | 47.0155 |
Nick C (AI) | #10 Nick Catsburg - Lada Vesta | 05:27.4828 | 77.4863 |
Nick C (AI) | #10 Nick Catsburg - Lada Vesta | 06:52.2932 | 162.2967 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Nick C (AI) | #10 Nick Catsburg - Lada Vesta | 04:09.9965 | |
Hugo V (AI) | #7 Hugo Valente - Lada Vesta | 04:57.0120 | 47.0155 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Nick C (AI) | #10 Nick Catsburg - Lada Vesta | - |
Hugo V (AI) | #7 Hugo Valente - Lada Vesta | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Nick C (AI) | 59.5652 | - |
Hugo V (AI) | 63.8779 | 4.3127 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Nick C (AI) | 103.1628 | - |
Hugo V (AI) | 147.1614 | 43.9986 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Nick C (AI) | 84.4539 | - |
Hugo V (AI) | 85.9728 | 1.5189 |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | James T |
Led most laps | James T |
Max minutes | 60 |
Lasted laps | 0 |
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, 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 | ▴ 64 | 3 | James T | Mitsubishi Pro's Racing #3 James Thompson - Mitsubishi Lancer | 0 | DNF | - | - | 0 | - |
Date | Incident |
---|---|
20:13:55 | Sorry, way too many incidents to show! |
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Opala |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Celso C (AI) |
Led most laps | Celso C (AI) |
Best lap | Guilherme S (06:53.3105) |
Max minutes | 60 |
Lasted laps | 1 |
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, 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 | ▴ 42 | Celso C (AI) | #101 - Celso Camargo - Opala | 1 | Accident | 18:50.1628 | - | 0 | 1 | AIControl |
2 | ▴ 64 | Guilherme S | #88 Diego Busato - Opala | 1 | DNF | 06:53.3105 | - | 0 | 0 | MixedControl, TC=3, ABS=2, Stability=2, Steering=1, Clutch, AutoBlip |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 (P) | #101 - Celso Camargo - Opala | 18:50.1628 | 59.2839 | 227.1412 | 843.7377 | F:0,Race - R:0,Race |
99.6 -
99.6
99.6 - 99.6 |
100% | AIControl |
Average | 18:50.1628 | 59.2839 | 227.1412 | 843.7377 | |||||
Best possible | 18:50.1628 | 59.2839 | 227.1412 | 843.7377 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #88 Diego Busato - Opala | 06:53.3105 | 72.5062 | 216.7587 | 124.0456 | F:0,Slicks - R:0,Slicks |
97.3 -
96.9
97.3 - 96.9 |
52.2% | MixedControl, TC=3, ABS=2, Stability=2, Steering=1, Clutch, AutoBlip |
Average | 06:53.3105 | 72.5062 | 216.7587 | 124.0456 | |||||
Best possible | 06:53.3105 | 72.5062 | 216.7587 | 124.0456 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Guilherme S | #88 Diego Busato - Opala | 06:53.3105 | |
Celso C (AI) | #101 - Celso Camargo - Opala | 18:50.1628 | 716.8523 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Guilherme S | #88 Diego Busato - Opala | 06:53.3105 | |
Celso C (AI) | #101 - Celso Camargo - Opala | 18:50.1628 | 716.8523 |
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 | - |
Guilherme S | #88 Diego Busato - Opala | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Celso C (AI) | 59.2839 | - |
Guilherme S | 72.5062 | 13.2223 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Guilherme S | 216.7587 | - |
Celso C (AI) | 227.1412 | 10.3825 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Guilherme S | 124.0456 | - |
Celso C (AI) | 843.7377 | 719.6921 |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Cristiano J |
Led most laps | Cristiano J |
Max minutes | 60 |
Lasted laps | 0 |
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, 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 | ▴ 39 | Cristiano J | Opala SS V8 1972 - Opala 1979 | 0 | DNF | - | - | 0 | - |
Date | Incident |
---|---|
20:13:55 | Sorry, way too many incidents to show! |
Game | rFactor 2 (1.1109) |
Session | Race |
Class | Silver |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Jessika C (AI) |
Led most laps | Jessika C (AI) |
Best lap | Jessika C (AI) (02:23.5194) |
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, 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 | ▴ 43 | 10 | Jessika C (AI) | Jessika Croft #10 - Silver | 6 | Engine | 02:23.5194 | - | 0 | 1 | AIControl |
2 | ▴ 39 | 23 | Scott G (AI) | Scott Grant #23 - Silver | 5 | DNF | 04:54.8036 | - | 0 | 2 | AIControl |
3 | ▴ 39 | 6 | Neil B (AI) | Neil Brett #6 - Silver | 3 | Accident | 04:18.0936 | - | 0 | 1 | AIControl |
4 | ▴ 30 | 81 | Rodrigo V (AI) | Rodrigo Vieira #81 - Silver | 2 | Engine | 04:17.5434 | - | 0 | 0 | AIControl |
5 | ▴ 28 | 87 | Jason N | Jason Namerick #87 - Silver | 0 | Engine | - | - | 0 | 0 | - |
6 | ▴ 43 | 83 | Tim P | Tim Pitty #83 - Silver | 0 | DNF | - | - | 0 | 0 | - |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Jessika Croft #10 - Silver | 04:56.7550 | 59.4934 | 182.8712 | 54.3904 | F:0,Slick tire - R:0,Slick tire |
90.6 -
89.8
92.5 - 92.2 |
87.5% | AIControl |
2 | Jessika Croft #10 - Silver | 08:52.2481 | 41.3056 | 373.4190 | 117.5234 | F:0,Slick tire - R:0,Slick tire |
81.6 -
80.8
84.3 - 84.7 |
78.8% | AIControl |
3 | Jessika Croft #10 - Silver | 03:28.1081 | 45.1824 | 95.2595 | 67.6663 | F:0,Slick tire - R:0,Slick tire |
72.9 -
71.8
77.3 - 77.6 |
71% | AIControl |
4 | Jessika Croft #10 - Silver | 02:23.5194 | 29.4082 | 48.6488 | 65.4624 | F:0,Slick tire - R:0,Slick tire |
65.1 -
63.9
71.4 - 71.8 |
62.7% | AIControl |
5 (P: 187.8889) | Jessika Croft #10 - Silver | 06:40.8063 | 41.7776 | 89.3351 | 269.6936 | F:0,Slick tire - R:0,Slick tire |
99.6 -
99.6
99.6 - 99.6 |
99.6% | AIControl |
6 | Jessika Croft #10 - Silver | 03:24.5519 | 44.2670 | 52.1359 | 108.1490 | F:0,Slick tire - R:0,Slick tire |
92.5 -
92.2
93.3 - 93.7 |
93.3% | AIControl |
Average | 04:57.6649 | 43.5724 | 140.2783 | 113.8142 | |||||
Best possible | 02:12.4474 | 29.4082 | 48.6488 | 54.3904 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 (P: 113.7485) | Scott Grant #23 - Silver | 08:55.6517 | 57.9241 | 230.7514 | 246.9762 | F:0,Slick tire - R:0,Slick tire |
99.6 -
99.6
99.6 - 99.6 |
99.6% | AIControl |
2 | Scott Grant #23 - Silver | 05:19.4234 | 78.8533 | 109.1047 | 131.4653 | F:0,Slick tire - R:0,Slick tire |
90.6 -
90.6
91.8 - 91.8 |
96.1% | AIControl |
3 (P: 32.2165) | Scott Grant #23 - Silver | 05:35.9205 | 81.1197 | 53.2789 | 201.5220 | F:0,Slick tire - R:0,Slick tire |
99.6 -
99.6
99.6 - 99.6 |
99.6% | AIControl |
4 | Scott Grant #23 - Silver | 04:54.8036 | 42.7755 | 80.4608 | 171.5673 | F:0,Slick tire - R:0,Slick tire |
90.6 -
90.2
92.2 - 92.2 |
93.7% | AIControl |
5 | Scott Grant #23 - Silver | 04:59.9696 | 76.1169 | 105.8027 | 118.0499 | F:0,Slick tire - R:0,Slick tire |
81.2 -
80.4
83.9 - 83.9 |
85.5% | AIControl |
Average | 05:57.1537 | 67.3579 | 115.8797 | 173.9161 | |||||
Best possible | 03:34.1043 | 42.7755 | 53.2789 | 118.0499 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 (P: 60.881) | Neil Brett #6 - Silver | 06:50.4509 | 58.9130 | 156.8776 | 194.6602 | F:0,Slick tire - R:0,Slick tire |
99.6 -
99.6
99.6 - 99.6 |
99.6% | AIControl |
2 | Neil Brett #6 - Silver | 04:18.0936 | 40.8948 | 110.2027 | 106.9961 | F:0,Slick tire - R:0,Slick tire |
91.8 -
91.0
92.9 - 93.3 |
92.2% | AIControl |
3 | Neil Brett #6 - Silver | 04:47.4170 | 52.4448 | 103.9782 | 130.9940 | F:0,Slick tire - R:0,Slick tire |
82.4 -
81.2
84.7 - 85.1 |
85.9% | AIControl |
Average | 05:18.6539 | 50.7509 | 123.6862 | 144.2168 | |||||
Best possible | 04:11.8691 | 40.8948 | 103.9782 | 106.9961 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Rodrigo Vieira #81 - Silver | 04:17.5434 | 53.5452 | 100.0329 | 103.9652 | F:0,Slick tire - R:0,Slick tire |
90.6 -
89.8
91.8 - 91.0 |
88.2% | AIControl |
2 | Rodrigo Vieira #81 - Silver | 04:23.3440 | 40.0414 | 90.6906 | 132.6120 | F:0,Slick tire - R:0,Slick tire |
82.4 -
81.6
84.7 - 83.9 |
83.5% | AIControl |
Average | 04:20.4437 | 46.7933 | 95.3618 | 118.2886 | |||||
Best possible | 03:54.6972 | 40.0414 | 90.6906 | 103.9652 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No laps for this driver |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No laps for this driver |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Jessika C (AI) | Jessika Croft #10 - Silver | 02:23.5194 | |
Jessika C (AI) | Jessika Croft #10 - Silver | 03:24.5519 | 61.0325 |
Jessika C (AI) | Jessika Croft #10 - Silver | 03:28.1081 | 64.5887 |
Rodrigo V (AI) | Rodrigo Vieira #81 - Silver | 04:17.5434 | 114.024 |
Neil B (AI) | Neil Brett #6 - Silver | 04:18.0936 | 114.5742 |
Rodrigo V (AI) | Rodrigo Vieira #81 - Silver | 04:23.3440 | 119.8246 |
Neil B (AI) | Neil Brett #6 - Silver | 04:47.4170 | 143.8976 |
Scott G (AI) | Scott Grant #23 - Silver | 04:54.8036 | 151.2842 |
Jessika C (AI) | Jessika Croft #10 - Silver | 04:56.7550 | 153.2356 |
Scott G (AI) | Scott Grant #23 - Silver | 04:59.9696 | 156.4502 |
Scott G (AI) | Scott Grant #23 - Silver | 05:19.4234 | 175.904 |
Scott G (AI) | Scott Grant #23 - Silver | 05:35.9205 | 192.4011 |
Jessika C (AI) | Jessika Croft #10 - Silver | 06:40.8063 | 257.2869 |
Neil B (AI) | Neil Brett #6 - Silver | 06:50.4509 | 266.9315 |
Jessika C (AI) | Jessika Croft #10 - Silver | 08:52.2481 | 388.7287 |
Scott G (AI) | Scott Grant #23 - Silver | 08:55.6517 | 392.1323 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Jessika C (AI) | Jessika Croft #10 - Silver | 02:23.5194 | |
Rodrigo V (AI) | Rodrigo Vieira #81 - Silver | 04:17.5434 | 114.024 |
Neil B (AI) | Neil Brett #6 - Silver | 04:18.0936 | 114.5742 |
Scott G (AI) | Scott Grant #23 - Silver | 04:54.8036 | 151.2842 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Jessika C (AI) | Jessika Croft #10 - Silver | - |
Scott G (AI) | Scott Grant #23 - Silver | - |
Neil B (AI) | Neil Brett #6 - Silver | - |
Rodrigo V (AI) | Rodrigo Vieira #81 - Silver | - |
Jason N | Jason Namerick #87 - Silver | - |
Tim P | Tim Pitty #83 - Silver | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Jessika C (AI) | 29.4082 | - |
Rodrigo V (AI) | 40.0414 | 10.6332 |
Neil B (AI) | 40.8948 | 11.4866 |
Scott G (AI) | 42.7755 | 13.3673 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Jessika C (AI) | 48.6488 | - |
Scott G (AI) | 53.2789 | 4.6301 |
Rodrigo V (AI) | 90.6906 | 42.0418 |
Neil B (AI) | 103.9782 | 55.3294 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Jessika C (AI) | 54.3904 | - |
Rodrigo V (AI) | 103.9652 | 49.5748 |
Neil B (AI) | 106.9961 | 52.6057 |
Scott G (AI) | 118.0499 | 63.6595 |
Date | Incident |
---|---|
20:13:55 | 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 | Toyota Avensis |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Chris S (AI) |
Led most laps | Chris S (AI) |
Best lap | Chris S (AI) (02:01.7789) |
Max minutes | 60 |
Lasted laps | 15 |
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, 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 | ▴ 61 | Chris S (AI) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 15 | 01:00:16.7287 | 02:01.7789 | - | 0 | 3 | AIControl |
2 | ▴ 52 | Frank W (AI) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 14 | +1 lap | 02:06.0419 | - | 0 | 4 | AIControl |
3 | ▴ 60 | Simon B (AI) | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 14 | DNF | 02:05.9275 | 93.38% | 0 | 1 | AIControl |
4 | ▴ 51 | Glynn G (AI) | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 14 | +1 lap | 02:02.8564 | - | 0 | 2 | AIControl |
5 | ▴ 59 | Jake H (AI) | Team HARD #24 Jake Hill '16 - Toyota Avensis | 2 | Accident | 05:42.9892 | - | 0 | 0 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 05:16.6075 | 69.6403 | 192.2495 | 54.7178 | F:2,Medium - R:2,Medium |
95.3 -
95.3
96.9 - 96.9 |
96.9% | AIControl |
2 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 05:50.2193 | 70.2406 | 142.0274 | 137.9514 | F:2,Medium - R:2,Medium |
90.6 -
90.6
93.7 - 93.7 |
95.3% | AIControl |
3 (P: 79.3441) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 05:40.9647 | 52.4778 | 104.6630 | 183.8240 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 02:06.2759 | 34.8004 | 38.2415 | 53.2341 | F:2,Medium - R:2,Medium |
97.6 -
97.3
98.4 - 98.0 |
97.6% | AIControl |
5 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 05:01.2587 | 65.4021 | 103.7469 | 132.1096 | F:2,Medium - R:2,Medium |
93.3 -
92.9
95.7 - 95.3 |
95.3% | AIControl |
6 (P: 46.578) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 03:54.1267 | 57.7847 | 67.0430 | 109.2991 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
7 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 03:12.9575 | 76.5592 | 62.8445 | 53.5538 | F:2,Medium - R:2,Medium |
96.9 -
96.9
98.0 - 97.6 |
98% | AIControl |
8 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 02:01.7789 | 30.3676 | 38.1532 | 53.2582 | F:2,Medium - R:2,Medium |
94.9 -
94.5
96.5 - 96.1 |
95.7% | AIControl |
9 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 04:06.9357 | 38.6144 | 90.4087 | 117.9126 | F:2,Medium - R:2,Medium |
91.4 -
90.6
94.5 - 93.7 |
94.9% | AIControl |
10 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 04:18.2192 | 69.2830 | 97.1382 | 91.7981 | F:2,Medium - R:2,Medium |
87.8 -
87.1
91.8 - 91.0 |
93.7% | AIControl |
11 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 03:36.8240 | 41.8784 | 82.2976 | 92.6479 | F:2,Medium - R:2,Medium |
84.3 -
83.5
89.8 - 88.6 |
92.2% | AIControl |
12 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 02:25.0369 | 30.6565 | 60.9023 | 53.4780 | F:2,Medium - R:2,Medium |
81.6 -
80.8
88.2 - 87.1 |
89.8% | AIControl |
13 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 03:16.9250 | 40.6948 | 52.5144 | 103.7158 | F:2,Medium - R:2,Medium |
78.4 -
77.3
86.3 - 84.7 |
88.2% | AIControl |
14 (P: 74.7676) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 05:22.9612 | 69.8567 | 91.6633 | 161.4412 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
15 | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 04:05.6375 | 52.6067 | 102.9407 | 90.0901 | F:2,Medium - R:2,Medium |
96.5 -
96.1
97.6 - 97.3 |
98.4% | AIControl |
Average | 04:01.1153 | 53.3909 | 88.4556 | 99.2688 | |||||
Best possible | 02:01.7549 | 30.3676 | 38.1532 | 53.2341 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 05:04.4364 | 67.7203 | 177.5446 | 59.1715 | F:2,Medium - R:2,Medium |
95.3 -
96.1
97.3 - 97.3 |
96.9% | AIControl |
2 | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 04:45.7126 | 42.0804 | 103.0093 | 140.6228 | F:2,Medium - R:2,Medium |
91.4 -
91.8
94.5 - 94.5 |
95.7% | AIControl |
3 (P: 76.8133) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 06:17.1784 | 80.8386 | 105.6562 | 190.6836 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 02:06.0419 | 34.8137 | 38.1222 | 53.1061 | F:2,Medium - R:2,Medium |
97.6 -
97.3
98.4 - 98.0 |
97.6% | AIControl |
5 (P: 101.5704) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 05:59.7670 | 79.3728 | 103.7222 | 176.6720 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
6 | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 05:11.2166 | 73.5824 | 104.0502 | 133.5840 | F:2,Medium - R:2,Medium |
93.3 -
94.1
95.3 - 96.1 |
98% | AIControl |
7 (P: 9.0668) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 03:20.9036 | 43.4352 | 51.6534 | 105.8149 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
8 | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 04:24.5519 | 51.9359 | 94.8650 | 117.7510 | F:2,Medium - R:2,Medium |
96.1 -
96.1
97.3 - 97.3 |
98.8% | AIControl |
9 | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 04:17.7764 | 69.3787 | 97.1318 | 91.2659 | F:2,Medium - R:2,Medium |
92.5 -
92.2
94.9 - 94.5 |
97.6% | AIControl |
10 | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 03:42.2039 | 41.3389 | 83.4045 | 97.4604 | F:2,Medium - R:2,Medium |
89.4 -
88.6
92.5 - 92.5 |
96.1% | AIControl |
11 | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 02:45.7314 | 30.6467 | 81.2690 | 53.8157 | F:2,Medium - R:2,Medium |
86.3 -
85.9
91.0 - 90.6 |
93.7% | AIControl |
12 | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 02:56.3936 | 40.2212 | 50.3108 | 85.8616 | F:2,Medium - R:2,Medium |
83.9 -
83.1
89.4 - 88.6 |
92.2% | AIControl |
13 (P: 61.9996) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 05:20.8030 | 69.8970 | 91.7900 | 159.1160 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
14 | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 04:03.8066 | 51.5676 | 102.9685 | 89.2705 | F:2,Medium - R:2,Medium |
96.1 -
96.1
97.3 - 97.3 |
98.4% | AIControl |
Average | 04:18.3231 | 55.4878 | 91.8213 | 111.0140 | |||||
Best possible | 02:01.8750 | 30.6467 | 38.1222 | 53.1061 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 06:51.7341 | 70.3330 | 216.6882 | 124.7129 | F:2,Medium - R:2,Medium |
94.5 -
94.1
96.5 - 96.1 |
96.5% | AIControl |
2 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 05:06.2425 | 72.5721 | 103.1052 | 130.5651 | F:2,Medium - R:2,Medium |
90.2 -
89.4
93.7 - 92.9 |
93.7% | AIControl |
3 (P: 53.9939) | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 04:52.9661 | 40.6707 | 67.6787 | 184.6168 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 02:06.2856 | 34.8233 | 38.2374 | 53.2249 | F:2,Medium - R:2,Medium |
97.6 -
97.3
98.4 - 98.4 |
97.6% | AIControl |
5 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 05:45.6454 | 64.1882 | 103.9868 | 177.4703 | F:2,Medium - R:2,Medium |
93.3 -
92.9
95.7 - 95.3 |
95.7% | AIControl |
6 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 05:02.3568 | 78.4637 | 105.7957 | 118.0974 | F:2,Medium - R:2,Medium |
89.0 -
88.6
92.5 - 92.2 |
94.1% | AIControl |
7 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 02:22.2373 | 30.6515 | 52.4525 | 59.1333 | F:2,Medium - R:2,Medium |
86.3 -
85.9
91.0 - 90.2 |
91.8% | AIControl |
8 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 03:26.0486 | 40.6526 | 50.9121 | 114.4839 | F:2,Medium - R:2,Medium |
83.5 -
82.7
89.0 - 87.8 |
90.6% | AIControl |
9 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 04:36.0342 | 70.2937 | 91.3611 | 114.3794 | F:2,Medium - R:2,Medium |
79.6 -
78.4
86.7 - 85.1 |
89.4% | AIControl |
10 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 04:36.1206 | 70.1003 | 91.6575 | 114.3628 | F:2,Medium - R:2,Medium |
75.7 -
74.5
83.9 - 82.4 |
87.8% | AIControl |
11 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 02:05.9275 | 32.2368 | 40.2849 | 53.4058 | F:2,Medium - R:2,Medium |
72.9 -
71.4
82.4 - 80.4 |
85.9% | AIControl |
12 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 03:48.9231 | 39.5481 | 73.3652 | 116.0098 | F:2,Medium - R:2,Medium |
69.8 -
67.8
80.4 - 78.0 |
84.3% | AIControl |
13 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 04:37.7251 | 70.0437 | 91.5596 | 116.1218 | F:2,Medium - R:2,Medium |
65.9 -
63.9
77.6 - 75.3 |
83.1% | AIControl |
14 | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 04:30.9822 | 69.9819 | 91.9028 | 109.0974 | F:2,Medium - R:2,Medium |
62.0 -
60.0
75.3 - 72.5 |
82% | AIControl |
Average | 04:16.3736 | 56.0400 | 87.0706 | 113.2630 | |||||
Best possible | 02:02.1138 | 30.6515 | 38.2374 | 53.2249 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 05:03.6990 | 73.3978 | 171.6147 | 58.6865 | F:2,Medium - R:2,Medium |
95.3 -
95.7
96.9 - 96.9 |
96.9% | AIControl |
2 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 07:33.1805 | 40.6075 | 241.4396 | 171.1334 | F:2,Medium - R:2,Medium |
91.0 -
91.4
94.1 - 94.1 |
95.3% | AIControl |
3 (P: 46.7693) | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 05:24.9722 | 78.3893 | 106.7753 | 139.8076 | F:2,Medium - R:2,Medium |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
4 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 04:59.2749 | 72.8877 | 95.3755 | 131.0117 | F:2,Medium - R:2,Medium |
95.7 -
95.7
97.3 - 96.9 |
98.4% | AIControl |
5 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 05:10.9786 | 80.0148 | 103.4020 | 127.5619 | F:2,Medium - R:2,Medium |
91.8 -
91.4
94.1 - 93.7 |
96.9% | AIControl |
6 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 02:57.6169 | 77.3817 | 46.8942 | 53.3411 | F:2,Medium - R:2,Medium |
89.0 -
88.2
92.5 - 91.8 |
94.9% | AIControl |
7 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 04:11.2832 | 44.4979 | 90.8242 | 115.9611 | F:2,Medium - R:2,Medium |
85.1 -
84.7
90.2 - 89.4 |
93.7% | AIControl |
8 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 04:37.6064 | 70.0771 | 91.5601 | 115.9692 | F:2,Medium - R:2,Medium |
81.6 -
80.8
87.5 - 86.3 |
92.9% | AIControl |
9 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 04:28.0955 | 70.2390 | 91.7441 | 106.1123 | F:2,Medium - R:2,Medium |
77.6 -
76.9
85.1 - 83.9 |
91.8% | AIControl |
10 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 02:02.8564 | 31.2651 | 38.2397 | 53.3516 | F:2,Medium - R:2,Medium |
75.3 -
74.1
83.5 - 82.4 |
89.4% | AIControl |
11 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 04:05.7881 | 40.8035 | 88.9749 | 116.0098 | F:2,Medium - R:2,Medium |
71.8 -
70.6
81.2 - 79.6 |
88.6% | AIControl |
12 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 04:37.6440 | 70.0720 | 91.5527 | 116.0193 | F:2,Medium - R:2,Medium |
68.2 -
66.7
78.8 - 76.9 |
87.5% | AIControl |
13 | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 04:28.4397 | 70.1992 | 91.7588 | 106.4817 | F:2,Medium - R:2,Medium |
64.3 -
62.7
76.1 - 74.1 |
86.3% | AIControl |
14 (P: 1.5429) | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 02:59.2480 | 32.4836 | 39.2515 | 107.5129 | F:2,Medium - R:2,Medium |
100.0 -
99.6
100.0 - 99.6 |
100% | AIControl |
Average | 04:28.6203 | 60.8797 | 99.2434 | 108.4972 | |||||
Best possible | 02:02.8459 | 31.2651 | 38.2397 | 53.3411 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | Team HARD #24 Jake Hill '16 - Toyota Avensis | 06:54.3672 | 70.8538 | 217.2268 | 126.2866 | F:2,Medium - R:2,Medium |
94.5 -
94.5
96.1 - 96.5 |
96.5% | AIControl |
2 | Team HARD #24 Jake Hill '16 - Toyota Avensis | 05:42.9892 | 73.0774 | 104.6184 | 165.2934 | F:2,Medium - R:2,Medium |
89.4 -
89.8
92.5 - 93.3 |
94.5% | AIControl |
Average | 06:18.6782 | 71.9656 | 160.9226 | 145.7900 | |||||
Best possible | 05:01.7588 | 70.8538 | 104.6184 | 126.2866 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Chris S (AI) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 02:01.7789 | |
Glynn G (AI) | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 02:02.8564 | 1.0775 |
Simon B (AI) | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 02:05.9275 | 4.1486 |
Frank W (AI) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 02:06.0419 | 4.263 |
Chris S (AI) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 02:06.2759 | 4.497 |
Simon B (AI) | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 02:06.2856 | 4.5067 |
Simon B (AI) | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 02:22.2373 | 20.4584 |
Chris S (AI) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 02:25.0369 | 23.258 |
Frank W (AI) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 02:45.7314 | 43.9525 |
Frank W (AI) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 02:56.3936 | 54.6147 |
Glynn G (AI) | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 02:57.6169 | 55.838 |
Glynn G (AI) | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 02:59.2480 | 57.4691 |
Chris S (AI) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 03:12.9575 | 71.1786 |
Chris S (AI) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 03:16.9250 | 75.1461 |
Frank W (AI) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 03:20.9036 | 79.1247 |
Simon B (AI) | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 03:26.0486 | 84.2697 |
Chris S (AI) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 03:36.8240 | 95.0451 |
Frank W (AI) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 03:42.2039 | 100.425 |
Simon B (AI) | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 03:48.9231 | 107.1442 |
Chris S (AI) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 03:54.1267 | 112.3478 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Chris S (AI) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | 02:01.7789 | |
Glynn G (AI) | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | 02:02.8564 | 1.0775 |
Simon B (AI) | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 02:05.9275 | 4.1486 |
Frank W (AI) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | 02:06.0419 | 4.263 |
Jake H (AI) | Team HARD #24 Jake Hill '16 - Toyota Avensis | 05:42.9892 | 221.2103 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Simon B (AI) | Handy Motorsport #11 Simon Belcher '14 - Toyota Avensis | 93.38% <> 8.334 |
Chris S (AI) | TLC Racing #22 Chris Smiley '16 - Toyota Avensis | - |
Frank W (AI) | DynoJet #11 Frank Wrathall '11 - Toyota Avensis | - |
Glynn G (AI) | United Autosports #21 Glynn Geddie '14 - Toyota Avensis | - |
Jake H (AI) | Team HARD #24 Jake Hill '16 - Toyota Avensis | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Chris S (AI) | 30.3676 | - |
Frank W (AI) | 30.6467 | 0.2791 |
Simon B (AI) | 30.6515 | 0.2839 |
Glynn G (AI) | 31.2651 | 0.8975 |
Jake H (AI) | 70.8538 | 40.4862 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Frank W (AI) | 38.1222 | - |
Chris S (AI) | 38.1532 | 0.0310 |
Simon B (AI) | 38.2374 | 0.1152 |
Glynn G (AI) | 38.2397 | 0.1175 |
Jake H (AI) | 104.6184 | 66.4962 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Frank W (AI) | 53.1061 | - |
Simon B (AI) | 53.2249 | 0.1188 |
Chris S (AI) | 53.2341 | 0.1280 |
Glynn G (AI) | 53.3411 | 0.2350 |
Jake H (AI) | 126.2866 | 73.1805 |
Date | Incident |
---|---|
20:13:55 | 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 | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Scott P (AI) |
Led most laps | Scott P (AI) |
Best lap | Craig L (AI) (01:54.4964) |
Max minutes | 60 |
Lasted laps | 16 |
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, 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 | ▴ 7 | 17 | Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 16 | 01:01:51.2161 | 01:59.0064 | 98.83% | 0 | 2 | AIControl |
2 | ▴ 8 | 33 | Scott M (AI) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 15 | Engine | 01:59.9821 | 91.52% | 0 | 1 | AIControl |
3 | ▴ 20 | 888 | Craig L (AI) | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 10 | Accident | 01:54.4964 | - | 0 | 1 | AIControl |
4 | ▴ 2 | 1 | Mark W (AI) | #1 The Bottle-O FG-X - Prodrive Racing Australia (V8 Supercars) | 2 | DNF | 01:58.2055 | - | 0 | 0 | AIControl |
5 | ▴ 16 | 3 | Andre H | #3 SP Tools VF2 - LD Motorsport (V8 Supercars) | 0 | DNF | - | - | 0 | 0 | - |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #17 DJR Team Penske FG-X (V8 Supercars) | 01:59.0064 | 36.3400 | 34.1809 | 48.4855 | F:1,Dunlop Soft - R:1,Dunlop Soft |
95.3 -
94.9
96.1 - 95.7 |
95.7% | AIControl |
2 | #17 DJR Team Penske FG-X (V8 Supercars) | 05:42.5568 | 47.9605 | 138.2150 | 156.3813 | F:1,Dunlop Soft - R:1,Dunlop Soft |
83.9 -
82.0
87.5 - 86.3 |
92.5% | AIControl |
3 | #17 DJR Team Penske FG-X (V8 Supercars) | 05:11.9187 | 78.2357 | 110.5346 | 123.1483 | F:1,Dunlop Soft - R:1,Dunlop Soft |
74.1 -
71.8
78.8 - 77.3 |
90.2% | AIControl |
4 | #17 DJR Team Penske FG-X (V8 Supercars) | 03:51.5765 | 78.1970 | 102.3796 | 50.9999 | F:1,Dunlop Soft - R:1,Dunlop Soft |
66.3 -
63.5
72.2 - 70.2 |
86.7% | AIControl |
5 | #17 DJR Team Penske FG-X (V8 Supercars) | 02:00.0917 | 27.5294 | 36.9481 | 55.6141 | F:1,Dunlop Soft - R:1,Dunlop Soft |
62.0 -
58.8
68.2 - 65.9 |
82.7% | AIControl |
6 | #17 DJR Team Penske FG-X (V8 Supercars) | 05:08.7521 | 71.3051 | 103.7743 | 133.6727 | F:1,Dunlop Soft - R:1,Dunlop Soft |
52.5 -
48.6
60.0 - 57.6 |
80.4% | AIControl |
7 (P: 32.7722) | #17 DJR Team Penske FG-X (V8 Supercars) | 05:25.5142 | 78.7112 | 103.5879 | 143.2151 | F:1,Dunlop Soft - R:1,Dunlop Soft |
99.6 -
99.6
99.6 - 99.6 |
100% | AIControl |
8 | #17 DJR Team Penske FG-X (V8 Supercars) | 02:28.2272 | 43.0138 | 48.3877 | 56.8257 | F:1,Dunlop Soft - R:1,Dunlop Soft |
94.5 -
94.1
95.3 - 94.9 |
95.7% | AIControl |
9 | #17 DJR Team Penske FG-X (V8 Supercars) | 03:43.3917 | 39.6930 | 68.3783 | 115.3204 | F:1,Dunlop Soft - R:1,Dunlop Soft |
87.5 -
86.7
89.0 - 88.2 |
93.3% | AIControl |
10 | #17 DJR Team Penske FG-X (V8 Supercars) | 04:36.3247 | 70.2068 | 91.7422 | 114.3757 | F:1,Dunlop Soft - R:1,Dunlop Soft |
78.8 -
77.3
81.6 - 80.4 |
90.6% | AIControl |
11 | #17 DJR Team Penske FG-X (V8 Supercars) | 04:32.5735 | 69.9470 | 91.6411 | 110.9854 | F:1,Dunlop Soft - R:1,Dunlop Soft |
70.2 -
68.2
74.1 - 72.5 |
87.8% | AIControl |
12 (P: -41.3608) | #17 DJR Team Penske FG-X (V8 Supercars) | 02:20.5425 | 26.6943 | 41.8479 | 72.0002 | F:1,Dunlop Soft - R:1,Dunlop Soft |
99.6 -
99.6
99.6 - 99.6 |
100% | AIControl |
13 | #17 DJR Team Penske FG-X (V8 Supercars) | 03:42.3833 | 40.0957 | 66.3877 | 115.8999 | F:1,Dunlop Soft - R:1,Dunlop Soft |
92.5 -
92.2
93.3 - 93.3 |
97.3% | AIControl |
14 | #17 DJR Team Penske FG-X (V8 Supercars) | 04:36.9871 | 70.1221 | 91.4666 | 115.3984 | F:1,Dunlop Soft - R:1,Dunlop Soft |
83.5 -
82.7
85.9 - 85.1 |
94.9% | AIControl |
15 | #17 DJR Team Penske FG-X (V8 Supercars) | 04:30.6641 | 70.0051 | 91.9102 | 108.7488 | F:1,Dunlop Soft - R:1,Dunlop Soft |
75.3 -
73.7
78.4 - 77.3 |
92.2% | AIControl |
16 | #17 DJR Team Penske FG-X (V8 Supercars) | 02:00.7058 | 27.7256 | 43.1160 | 49.8643 | F:1,Dunlop Soft - R:1,Dunlop Soft |
70.6 -
68.2
74.1 - 72.5 |
87.8% | AIControl |
Average | 03:51.9510 | 54.7364 | 79.0311 | 98.1835 | |||||
Best possible | 01:49.3607 | 26.6943 | 34.1809 | 48.4855 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 01:59.9821 | 37.0415 | 34.0165 | 48.9241 | F:1,Dunlop Soft - R:1,Dunlop Soft |
95.7 -
94.9
96.1 - 95.7 |
95.7% | AIControl |
2 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 05:14.2586 | 47.5840 | 128.1717 | 138.5030 | F:1,Dunlop Soft - R:1,Dunlop Soft |
85.9 -
84.7
87.5 - 86.7 |
92.9% | AIControl |
3 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 05:23.1121 | 78.2284 | 112.7933 | 132.0904 | F:1,Dunlop Soft - R:1,Dunlop Soft |
75.7 -
74.5
78.8 - 77.6 |
91% | AIControl |
4 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 04:03.0694 | 78.4407 | 106.7764 | 57.8524 | F:1,Dunlop Soft - R:1,Dunlop Soft |
67.5 -
65.9
71.8 - 70.6 |
87.8% | AIControl |
5 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 02:03.9535 | 30.4585 | 37.9943 | 55.5007 | F:1,Dunlop Soft - R:1,Dunlop Soft |
63.1 -
60.8
67.8 - 65.9 |
84.3% | AIControl |
6 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 05:08.9011 | 71.4991 | 103.7542 | 133.6478 | F:1,Dunlop Soft - R:1,Dunlop Soft |
53.3 -
50.6
59.2 - 57.3 |
82% | AIControl |
7 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 05:13.4604 | 78.7091 | 103.3535 | 131.3978 | F:1,Dunlop Soft - R:1,Dunlop Soft |
43.9 -
40.4
51.0 - 48.6 |
79.6% | AIControl |
8 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 02:16.3617 | 52.1019 | 33.9205 | 50.3392 | F:1,Dunlop Soft - R:1,Dunlop Soft |
38.8 -
34.9
46.7 - 43.9 |
75.7% | AIControl |
9 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 04:03.4950 | 40.6798 | 86.9491 | 115.8661 | F:1,Dunlop Soft - R:1,Dunlop Soft |
31.0 -
26.7
40.0 - 36.9 |
73.3% | AIControl |
10 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 04:37.0891 | 70.2375 | 91.3044 | 115.5471 | F:1,Dunlop Soft - R:1,Dunlop Soft |
22.4 -
17.6
32.5 - 29.0 |
70.6% | AIControl |
11 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 04:28.9905 | 70.2673 | 91.5288 | 107.1943 | F:1,Dunlop Soft - R:1,Dunlop Soft |
14.1 -
8.6
25.1 - 21.6 |
68.2% | AIControl |
12 (P: -43.5303) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 02:25.0908 | 27.7021 | 40.3818 | 77.0068 | F:1,Dunlop Soft - R:1,Dunlop Soft |
100.0 -
100.0
100.0 - 100.0 |
100% | AIControl |
13 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 03:44.4937 | 40.1389 | 68.4390 | 115.9158 | F:1,Dunlop Soft - R:1,Dunlop Soft |
92.5 -
92.2
93.7 - 93.3 |
97.3% | AIControl |
14 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 04:37.0366 | 70.1245 | 91.5100 | 115.4021 | F:1,Dunlop Soft - R:1,Dunlop Soft |
83.9 -
83.1
85.9 - 85.5 |
94.9% | AIControl |
15 | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 04:30.1284 | 70.0063 | 91.9197 | 108.2024 | F:1,Dunlop Soft - R:1,Dunlop Soft |
75.3 -
74.1
78.4 - 77.6 |
92.2% | AIControl |
Average | 03:59.2949 | 57.5480 | 81.5209 | 100.2260 | |||||
Best possible | 01:50.5467 | 27.7021 | 33.9205 | 48.9241 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 02:54.8993 | 48.1040 | 78.9203 | 47.8750 | F:1,Dunlop Soft - R:1,Dunlop Soft |
93.7 -
93.3
94.9 - 94.9 |
95.3% | AIControl |
2 (P: 63.107) | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 09:27.7653 | 38.8573 | 373.0732 | 155.8347 | F:1,Dunlop Soft - R:1,Dunlop Soft |
99.6 -
99.6
99.6 - 99.6 |
99.6% | AIControl |
3 | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 04:07.2728 | 57.2325 | 105.9756 | 84.0646 | F:1,Dunlop Soft - R:1,Dunlop Soft |
91.8 -
91.4
92.5 - 92.5 |
96.9% | AIControl |
4 | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 01:54.4964 | 27.4045 | 33.3385 | 53.7534 | F:1,Dunlop Soft - R:1,Dunlop Soft |
87.5 -
86.7
89.0 - 88.6 |
93.3% | AIControl |
5 | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 05:06.9884 | 70.9601 | 103.3875 | 132.6409 | F:1,Dunlop Soft - R:1,Dunlop Soft |
78.0 -
76.5
80.8 - 80.0 |
91% | AIControl |
6 | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 05:14.5231 | 79.5988 | 103.6384 | 131.2859 | F:1,Dunlop Soft - R:1,Dunlop Soft |
68.2 -
66.7
72.2 - 71.0 |
89% | AIControl |
7 | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 02:27.2729 | 60.3315 | 35.4333 | 51.5081 | F:1,Dunlop Soft - R:1,Dunlop Soft |
63.1 -
60.8
67.5 - 66.3 |
85.5% | AIControl |
8 | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 04:10.5562 | 44.7081 | 89.9296 | 115.9185 | F:1,Dunlop Soft - R:1,Dunlop Soft |
55.3 -
52.5
60.8 - 58.8 |
82.7% | AIControl |
9 | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 04:37.0959 | 70.0720 | 91.5205 | 115.5034 | F:1,Dunlop Soft - R:1,Dunlop Soft |
46.7 -
43.5
52.9 - 51.0 |
80.4% | AIControl |
10 | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 04:28.7527 | 70.1670 | 91.6970 | 106.8887 | F:1,Dunlop Soft - R:1,Dunlop Soft |
38.0 -
34.5
45.5 - 43.5 |
77.6% | AIControl |
Average | 04:26.9623 | 56.7436 | 110.6914 | 99.5273 | |||||
Best possible | 01:48.6180 | 27.4045 | 33.3385 | 47.8750 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids |
---|---|---|---|---|---|---|---|---|---|
1 | #1 The Bottle-O FG-X - Prodrive Racing Australia (V8 Supercars) | 01:58.2055 | 35.5838 | 34.4148 | 48.2069 | F:1,Dunlop Soft - R:1,Dunlop Soft |
95.7 -
94.9
96.1 - 95.7 |
95.7% | AIControl |
2 | #1 The Bottle-O FG-X - Prodrive Racing Australia (V8 Supercars) | 06:54.9251 | 48.1721 | 245.7011 | 121.0518 | F:1,Dunlop Soft - R:1,Dunlop Soft |
83.5 -
79.2
87.8 - 85.1 |
91.4% | AIControl |
Average | 04:26.5654 | 41.8780 | 140.0580 | 84.6294 | |||||
Best possible | 01:58.2055 | 35.5838 | 34.4148 | 48.2069 |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Wear (%) | Fuel | Aids | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No laps for this driver |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Craig L (AI) | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 01:54.4964 | |
Mark W (AI) | #1 The Bottle-O FG-X - Prodrive Racing Australia (V8 Supercars) | 01:58.2055 | 3.7091 |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 01:59.0064 | 4.51 |
Scott M (AI) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 01:59.9821 | 5.4857 |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 02:00.0917 | 5.5953 |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 02:00.7058 | 6.2094 |
Scott M (AI) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 02:03.9535 | 9.4571 |
Scott M (AI) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 02:16.3617 | 21.8653 |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 02:20.5425 | 26.0461 |
Scott M (AI) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 02:25.0908 | 30.5944 |
Craig L (AI) | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 02:27.2729 | 32.7765 |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 02:28.2272 | 33.7308 |
Craig L (AI) | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 02:54.8993 | 60.4029 |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 03:42.3833 | 107.8869 |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 03:43.3917 | 108.8953 |
Scott M (AI) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 03:44.4937 | 109.9973 |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 03:51.5765 | 117.0801 |
Scott M (AI) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 04:03.0694 | 128.573 |
Scott M (AI) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 04:03.4950 | 128.9986 |
Craig L (AI) | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 04:07.2728 | 132.7764 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Craig L (AI) | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | 01:54.4964 | |
Mark W (AI) | #1 The Bottle-O FG-X - Prodrive Racing Australia (V8 Supercars) | 01:58.2055 | 3.7091 |
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 01:59.0064 | 4.51 |
Scott M (AI) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 01:59.9821 | 5.4857 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Scott P (AI) | #17 DJR Team Penske FG-X (V8 Supercars) | 98.83% <> 1.3924 |
Scott M (AI) | #33 Wilson Security Racing S60 - Garry Rogers Motorsports (V8 Supercars) | 91.52% <> 10.1755 |
Craig L (AI) | #888 Caltex Vortex VF2 - Team Vortex (V8 Supercars) | - |
Mark W (AI) | #1 The Bottle-O FG-X - Prodrive Racing Australia (V8 Supercars) | - |
Andre H | #3 SP Tools VF2 - LD Motorsport (V8 Supercars) | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Scott P (AI) | 26.6943 | - |
Craig L (AI) | 27.4045 | 0.7102 |
Scott M (AI) | 27.7021 | 1.0078 |
Mark W (AI) | 35.5838 | 8.8895 |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Craig L (AI) | 33.3385 | - |
Scott M (AI) | 33.9205 | 0.5820 |
Scott P (AI) | 34.1809 | 0.8424 |
Mark W (AI) | 34.4148 | 1.0763 |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Craig L (AI) | 47.8750 | - |
Mark W (AI) | 48.2069 | 0.3319 |
Scott P (AI) | 48.4855 | 0.6105 |
Scott M (AI) | 48.9241 | 1.0491 |
Date | Incident |
---|---|
20:13:55 | 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 | Volvo S60 TC1 |
Date | 2018-01-13 20:13:55 (UTC) |
Track | WTCC 2010, Marrakech (Marrakech GP) |
Length | 4535.6m |
Winner | Robert D (AI) |
Led most laps | Robert D (AI) |
Best lap | Robert D (AI) (02:39.9598) |
Max minutes | 60 |
Lasted laps | 14 |
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, 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 | ▴ 44 | 63 | Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 14 | 59:57.1185 | 02:39.9598 | - | 0 | 5 | AIControl |
Lap | Vehicle | Time | Sector 1 | Sector 2 | Sector 3 | Compound | Fuel | Aids |
---|---|---|---|---|---|---|---|---|
1 (P: -1.1969) | #63 Robert Dahlgren - Volvo S60 TC1 | 05:13.5363 | 60.8000 | 156.9243 | 95.8119 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
2 | #63 Robert Dahlgren - Volvo S60 TC1 | 05:19.6199 | 73.8384 | 113.4335 | 132.3480 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 94.1% | AIControl |
3 (P: 18.6229) | #63 Robert Dahlgren - Volvo S60 TC1 | 04:54.8002 | 63.5458 | 79.9816 | 151.2727 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
4 (P: -19.8961) | #63 Robert Dahlgren - Volvo S60 TC1 | 02:39.9598 | 38.1974 | 38.9269 | 82.8354 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
5 | #63 Robert Dahlgren - Volvo S60 TC1 | 04:54.3890 | 68.1157 | 95.2570 | 131.0164 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 92.2% | AIControl |
6 | #63 Robert Dahlgren - Volvo S60 TC1 | 05:11.4268 | 80.0153 | 103.3979 | 128.0135 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 84.3% | AIControl |
7 | #63 Robert Dahlgren - Volvo S60 TC1 | 02:58.5657 | 77.6172 | 46.9310 | 54.0175 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 77.3% | AIControl |
8 | #63 Robert Dahlgren - Volvo S60 TC1 | 04:09.7593 | 43.9248 | 89.8783 | 115.9562 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 73.3% | AIControl |
9 (P: 47.7009) | #63 Robert Dahlgren - Volvo S60 TC1 | 05:00.7595 | 70.1309 | 91.4888 | 139.1399 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
10 | #63 Robert Dahlgren - Volvo S60 TC1 | 04:37.7815 | 79.4082 | 103.8015 | 94.5718 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 95.7% | AIControl |
11 (P: -45.9127) | #63 Robert Dahlgren - Volvo S60 TC1 | 02:48.0383 | 32.7180 | 52.0054 | 83.3149 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 100% | AIControl |
12 | #63 Robert Dahlgren - Volvo S60 TC1 | 03:01.4688 | 41.6196 | 50.7905 | 89.0586 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 95.7% | AIControl |
13 | #63 Robert Dahlgren - Volvo S60 TC1 | 04:35.3657 | 69.8601 | 91.7463 | 113.7593 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 91.4% | AIControl |
14 | #63 Robert Dahlgren - Volvo S60 TC1 | 04:31.6477 | 69.5884 | 91.3767 | 110.6826 | F:0,Yokohama SLICK - R:0,Yokohama SLICK | 86.3% | AIControl |
Average | 04:16.9371 | 62.0986 | 86.1386 | 108.6999 | ||||
Best possible | 02:05.6624 | 32.7180 | 38.9269 | 54.0175 |
Overall top (20) | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 02:39.9598 | |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 02:48.0383 | 8.0785 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 02:58.5657 | 18.6059 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 03:01.4688 | 21.509 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 04:09.7593 | 89.7995 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 04:31.6477 | 111.6879 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 04:35.3657 | 115.4059 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 04:37.7815 | 117.8217 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 04:54.3890 | 134.4292 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 04:54.8002 | 134.8404 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 05:00.7595 | 140.7997 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 05:11.4268 | 151.467 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 05:13.5363 | 153.5765 |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 05:19.6199 | 159.6601 |
Per driver | |||
---|---|---|---|
Driver | Vehicle | Time | Gap |
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | 02:39.9598 |
Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.
Driver | Vehicle | Consistency |
---|---|---|
Robert D (AI) | #63 Robert Dahlgren - Volvo S60 TC1 | - |
Sector 1 | ||
---|---|---|
Driver | Time | Gap |
Robert D (AI) | 32.7180 | - |
Sector 2 | ||
---|---|---|
Driver | Time | Gap |
Robert D (AI) | 38.9269 | - |
Sector 3 | ||
---|---|---|
Driver | Time | Gap |
Robert D (AI) | 54.0175 | - |
Date | Incident |
---|---|
20:13:55 | Sorry, way too many incidents to show! |
Average lap time of the winner is the top baseline.
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