Race result



Game Assetto Corsa
Session Race
Track rt_dubai, dubai_gp
Winner Shopian Said
Led most laps Shopian Said
Best lap RACETIC (01:58.0620)
Lasted laps 10
Host Unknown
Pos Driver Vehicle Laps Time/Retired Best lap Consistency Led
1 Shopian Said urd_amr_egt_2019 10   20:09.3400 01:59.1470 98.91% 10
2 RACETIC ks_bmw_m4_gt3 10 +00:13.4530 01:58.0620 96.95% 0
3 FewRee urd_amr_egt_2019 10 +00:14.7960 01:59.5210 98.33% 0
4 Adania honda_nsx_gt3_evo_endurance_acc 10 +00:22.2440 02:00.9020 98.55% 0
5 gnm_stry honda_nsx_gt3_evo_endurance_acc 10 +01:36.0290 02:03.4390 96.02% 0
6 Pentagonist ks_bmw_m4_gt3 10 +02:01.2870 02:05.3140 98.78% 0
7 Syam lexus_rcf_gt3_acc 2 +8 laps 02:06.4620 - 0

Race laps

Bad lap, 107% rule compared to the overall best lap of the session. Excludes first lap for race sessions
Personal best lap/sector
Overall best lap/sector for a lap
Overall best lap/sector for a lap and personal best lap/sector
Overall best lap/sector
Invalid for best lap
(P) Pit lap

Shopian Said

Lap Vehicle Time Sector 1 Sector 2 Sector 3 Compound
1 urd_amr_egt_2019 02:06.7190 55.0980 40.4550 31.1660 F:S - R:S
2 urd_amr_egt_2019 01:59.5590 48.7060 39.9280 30.9250 F:S - R:S
3 urd_amr_egt_2019 01:59.2940 48.2080 40.3200 30.7660 F:S - R:S
4 urd_amr_egt_2019 01:59.3560 48.7470 39.7480 30.8610 F:S - R:S
5 urd_amr_egt_2019 01:59.1470 48.7270 39.7400 30.6800 F:S - R:S
6 urd_amr_egt_2019 01:59.5540 48.8680 39.7440 30.9420 F:S - R:S
7 urd_amr_egt_2019 02:00.0250 49.2040 39.8840 30.9370 F:S - R:S
8 urd_amr_egt_2019 02:05.1730 49.1640 39.9330 36.0760 F:S - R:S
9 urd_amr_egt_2019 02:00.5150 49.0110 40.2930 31.2110 F:S - R:S
10 urd_amr_egt_2019 02:00.0450 49.1740 39.8970 30.9740 F:S - R:S
Average   02:00.9387 49.4907 39.9942 31.4538  
Best possible   01:58.6280 48.2080 39.7400 30.6800  

RACETIC

Lap Vehicle Time Sector 1 Sector 2 Sector 3 Compound
1 ks_bmw_m4_gt3 02:11.4490 54.8410 41.2070 35.4010 F:S - R:S
2 ks_bmw_m4_gt3 02:00.1280 48.8310 40.2110 31.0860 F:S - R:S
3 ks_bmw_m4_gt3 02:05.6470 48.7650 40.2430 36.6390 F:S - R:S
4 ks_bmw_m4_gt3 02:00.3890 48.1730 41.1030 31.1130 F:S - R:S
5 ks_bmw_m4_gt3 01:59.7210 49.0480 40.1990 30.4740 F:S - R:S
6 ks_bmw_m4_gt3 01:58.0620 47.5560 39.3880 31.1180 F:S - R:S
7 ks_bmw_m4_gt3 02:00.5810 48.6080 39.2590 32.7140 F:S - R:S
8 ks_bmw_m4_gt3 02:00.9720 50.0430 40.5450 30.3840 F:S - R:S
9 ks_bmw_m4_gt3 01:59.8970 49.1570 39.5830 31.1570 F:S - R:S
10 ks_bmw_m4_gt3 02:05.9890 48.9400 46.5570 30.4920 F:S - R:S
Average   02:02.2835 49.3962 40.8295 32.0578  
Best possible   01:57.1990 47.5560 39.2590 30.3840  

FewRee

Lap Vehicle Time Sector 1 Sector 2 Sector 3 Compound
1 urd_amr_egt_2019 02:12.4760 55.6700 41.6880 35.1180 F:S - R:S
2 urd_amr_egt_2019 01:59.5680 48.4360 40.3610 30.7710 F:S - R:S
3 urd_amr_egt_2019 02:00.3740 48.3930 40.8690 31.1120 F:S - R:S
4 urd_amr_egt_2019 02:01.1340 48.4670 41.6710 30.9960 F:S - R:S
5 urd_amr_egt_2019 02:01.1170 48.2620 41.3860 31.4690 F:S - R:S
6 urd_amr_egt_2019 01:59.5210 48.2270 40.3830 30.9110 F:S - R:S
7 urd_amr_egt_2019 02:01.2720 48.0790 40.8330 32.3600 F:S - R:S
8 urd_amr_egt_2019 02:00.6530 48.3520 41.1430 31.1580 F:S - R:S
9 urd_amr_egt_2019 02:01.4130 48.2420 40.8780 32.2930 F:S - R:S
10 urd_amr_egt_2019 02:06.6160 49.1220 46.1380 31.3560 F:S - R:S
Average   02:02.4144 49.1250 41.5350 31.7544  
Best possible   01:59.2110 48.0790 40.3610 30.7710  

Adania

Lap Vehicle Time Sector 1 Sector 2 Sector 3 Compound
1 honda_nsx_gt3_evo_endurance_acc 02:09.5110 56.7190 40.6350 32.1570 F:M - R:M
2 honda_nsx_gt3_evo_endurance_acc 02:03.4900 50.4550 40.9050 32.1300 F:M - R:M
3 honda_nsx_gt3_evo_endurance_acc 02:01.4830 49.5050 40.4110 31.5670 F:M - R:M
4 honda_nsx_gt3_evo_endurance_acc 02:09.4160 58.1720 40.1130 31.1310 F:M - R:M
5 honda_nsx_gt3_evo_endurance_acc 02:01.6010 49.6150 40.4010 31.5850 F:M - R:M
6 honda_nsx_gt3_evo_endurance_acc 02:01.7230 50.1140 40.5770 31.0320 F:M - R:M
7 honda_nsx_gt3_evo_endurance_acc 02:00.9020 49.8200 39.8890 31.1930 F:M - R:M
8 honda_nsx_gt3_evo_endurance_acc 02:01.0880 49.5390 40.4810 31.0680 F:M - R:M
9 honda_nsx_gt3_evo_endurance_acc 02:01.3540 49.5480 40.1400 31.6660 F:M - R:M
10 honda_nsx_gt3_evo_endurance_acc 02:01.0550 49.7980 40.1350 31.1220 F:M - R:M
Average   02:03.1623 51.3285 40.3687 31.4651  
Best possible   02:00.4260 49.5050 39.8890 31.0320  

gnm_stry

Lap Vehicle Time Sector 1 Sector 2 Sector 3 Compound
1 honda_nsx_gt3_evo_endurance_acc 02:10.4930 58.2680 40.7070 31.5180 F:S - R:S
2 honda_nsx_gt3_evo_endurance_acc 02:05.2060 52.0630 41.2240 31.9190 F:S - R:S
3 honda_nsx_gt3_evo_endurance_acc 02:08.0940 53.0340 41.0620 33.9980 F:S - R:S
4 honda_nsx_gt3_evo_endurance_acc 02:03.4390 50.4220 40.9500 32.0670 F:S - R:S
5 honda_nsx_gt3_evo_endurance_acc 02:04.2730 50.2620 41.8230 32.1880 F:S - R:S
6 honda_nsx_gt3_evo_endurance_acc 02:05.4070 50.7930 41.4890 33.1250 F:S - R:S
7 honda_nsx_gt3_evo_endurance_acc 02:20.2390 64.8780 42.0300 33.3310 F:S - R:S
8 honda_nsx_gt3_evo_endurance_acc 02:33.0410 61.1600 52.4660 39.4150 F:S - R:S
9 honda_nsx_gt3_evo_endurance_acc 02:05.6200 51.9860 40.9730 32.6610 F:S - R:S
10 honda_nsx_gt3_evo_endurance_acc 02:09.5960 52.4490 41.7960 35.3510 F:S - R:S
Average   02:10.5408 54.5315 42.4520 33.5573  
Best possible   02:02.4870 50.2620 40.7070 31.5180  

Pentagonist

Lap Vehicle Time Sector 1 Sector 2 Sector 3 Compound
1 ks_bmw_m4_gt3 03:10.6480 115.9880 42.5520 32.1080 F:M - R:M
2 ks_bmw_m4_gt3 02:06.3740 51.5980 42.5430 32.2330 F:M - R:M
3 ks_bmw_m4_gt3 02:05.3140 51.2310 41.9710 32.1120 F:M - R:M
4 ks_bmw_m4_gt3 02:06.8240 51.9440 42.3770 32.5030 F:M - R:M
5 ks_bmw_m4_gt3 02:06.9750 52.4190 42.2500 32.3060 F:M - R:M
6 ks_bmw_m4_gt3 02:07.1060 52.4020 42.3230 32.3810 F:M - R:M
7 ks_bmw_m4_gt3 02:06.3360 51.9680 42.0210 32.3470 F:M - R:M
8 ks_bmw_m4_gt3 02:06.2160 52.2990 41.6830 32.2340 F:M - R:M
9 ks_bmw_m4_gt3 02:07.4220 51.9480 42.8660 32.6080 F:M - R:M
10 ks_bmw_m4_gt3 02:07.4750 52.5870 42.3990 32.4890 F:M - R:M
Average   02:13.0690 58.4384 42.2985 32.3321  
Best possible   02:05.0220 51.2310 41.6830 32.1080  

Syam

Lap Vehicle Time Sector 1 Sector 2 Sector 3 Compound
1 lexus_rcf_gt3_acc 03:00.2390 100.6980 43.7750 35.7660 F:S - R:S
2 lexus_rcf_gt3_acc 02:06.4620 51.8340 41.5300 33.0980 F:S - R:S
Average   02:33.3505 76.2660 42.6525 34.4320  
Best possible   02:06.4620 51.8340 41.5300 33.0980  

Race best laps

Overall top (20)
Driver Vehicle Time Gap
RACETIC ks_bmw_m4_gt3 01:58.0620
Shopian Said urd_amr_egt_2019 01:59.1470 1.085
Shopian Said urd_amr_egt_2019 01:59.2940 1.232
Shopian Said urd_amr_egt_2019 01:59.3560 1.294
FewRee urd_amr_egt_2019 01:59.5210 1.459
Shopian Said urd_amr_egt_2019 01:59.5540 1.492
Shopian Said urd_amr_egt_2019 01:59.5590 1.497
FewRee urd_amr_egt_2019 01:59.5680 1.506
RACETIC ks_bmw_m4_gt3 01:59.7210 1.659
RACETIC ks_bmw_m4_gt3 01:59.8970 1.835
Shopian Said urd_amr_egt_2019 02:00.0250 1.963
Shopian Said urd_amr_egt_2019 02:00.0450 1.983
RACETIC ks_bmw_m4_gt3 02:00.1280 2.066
FewRee urd_amr_egt_2019 02:00.3740 2.312
RACETIC ks_bmw_m4_gt3 02:00.3890 2.327
Shopian Said urd_amr_egt_2019 02:00.5150 2.453
RACETIC ks_bmw_m4_gt3 02:00.5810 2.519
FewRee urd_amr_egt_2019 02:00.6530 2.591
Adania honda_nsx_gt3_evo_endurance_acc 02:00.9020 2.84
RACETIC ks_bmw_m4_gt3 02:00.9720 2.91
Per driver
Driver Vehicle Time Gap
RACETIC ks_bmw_m4_gt3 01:58.0620
Shopian Said urd_amr_egt_2019 01:59.1470 1.085
FewRee urd_amr_egt_2019 01:59.5210 1.459
Adania honda_nsx_gt3_evo_endurance_acc 02:00.9020 2.84
gnm_stry honda_nsx_gt3_evo_endurance_acc 02:03.4390 5.377
Pentagonist ks_bmw_m4_gt3 02:05.3140 7.252
Syam lexus_rcf_gt3_acc 02:06.4620 8.4

Race consistency

Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.

Driver Vehicle Consistency
Shopian Said urd_amr_egt_2019 98.91% <> 1.2931
Pentagonist ks_bmw_m4_gt3 98.78% <> 1.527
Adania honda_nsx_gt3_evo_endurance_acc 98.55% <> 1.7493
FewRee urd_amr_egt_2019 98.33% <> 1.9974
RACETIC ks_bmw_m4_gt3 96.95% <> 3.6035
gnm_stry honda_nsx_gt3_evo_endurance_acc 96.02% <> 4.9089
Syam lexus_rcf_gt3_acc -

Race sectors

Sector 1
Driver Time Gap
RACETIC 47.5560 -
FewRee 48.0790 0.5230
Shopian Said 48.2080 0.6520
Adania 49.5050 1.9490
gnm_stry 50.2620 2.7060
Pentagonist 51.2310 3.6750
Syam 51.8340 4.2780
Sector 2
Driver Time Gap
RACETIC 39.2590 -
Shopian Said 39.7400 0.4810
Adania 39.8890 0.6300
FewRee 40.3610 1.1020
gnm_stry 40.7070 1.4480
Syam 41.5300 2.2710
Pentagonist 41.6830 2.4240
Sector 3
Driver Time Gap
RACETIC 30.3840 -
Shopian Said 30.6800 0.2960
FewRee 30.7710 0.3870
Adania 31.0320 0.6480
gnm_stry 31.5180 1.1340
Pentagonist 32.1080 1.7240
Syam 33.0980 2.7140

Race incidents

Incident for review
Date Incident
Shopian Said reported contact with another vehicle RACETIC. Impact speed: 2.3679507
FewRee reported contact with another vehicle RACETIC. Impact speed: 107.76138
RACETIC reported contact with another vehicle FewRee. Impact speed: 114.11489
FewRee reported contact with another vehicle RACETIC. Impact speed: 4.3945365
gnm_stry reported contact with environment. Impact speed: 103.71561
gnm_stry reported contact with environment. Impact speed: 44.09516
gnm_stry reported contact with environment. Impact speed: 25.358522
gnm_stry reported contact with environment. Impact speed: 4.808376
FewRee reported contact with another vehicle RACETIC. Impact speed: 11.999542
RACETIC reported contact with another vehicle FewRee. Impact speed: 13.214665
gnm_stry reported contact with environment. Impact speed: 53.50623
FewRee reported contact with environment. Impact speed: 1.4741523
RACETIC reported contact with another vehicle FewRee. Impact speed: 37.899136
FewRee reported contact with another vehicle RACETIC. Impact speed: 35.699463
RACETIC reported contact with another vehicle FewRee. Impact speed: 27.260921
FewRee reported contact with another vehicle RACETIC. Impact speed: 24.880167
RACETIC reported contact with another vehicle FewRee. Impact speed: 34.169918
FewRee reported contact with another vehicle RACETIC. Impact speed: 31.34288
Pentagonist reported contact with environment. Impact speed: 223.1903

Race positions

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Race gaps

The leader is the top baseline.

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Race gaps v2

Average lap time of the winner is the top baseline.

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