Race result
| Game |
Assetto Corsa Competizione |
| Session |
Race |
| Track |
brands_hatch |
| Winner |
สนั่นรัก ประสพแก้ว
|
| Led most laps |
สนั่นรัก ประสพแก้ว |
| Best lap |
Aakarshan Sharma (01:27.3270) |
| Lasted laps |
9 |
| Host |
FR Underground Drivers Brand Hatch | discord.gg/underground-drivers - |
| Other settings |
isWetSession = 0
|
| Pos |
No |
Driver |
Vehicle |
Laps |
Time/Retired |
Best lap |
Consistency |
Led |
| 1 |
39 |
สนั่นรัก ประสพแก้ว |
Porsche 991 II GT3 R 2019 |
9 |
14:54.9380
|
01:28.1450 |
96.87% |
9 |
| 2 |
88 |
Alberto Usai |
Ferrari 296 GT3 |
9 |
+00:01.3880
|
01:28.8900 |
98.02% |
0 |
| 3 |
62 |
niger nigerowski |
Aston Martin Vantage V8 2019 (GT3) |
9 |
+00:14.6760
|
01:31.5020 |
- |
0 |
| 4 |
173 |
Krzysztof Rychter |
Porsche 992 GT3 R |
9 |
+00:14.7450
|
01:30.6220 |
98.30% |
0 |
| 5 |
28 |
JEAN JOSEPH LOPEZ |
Audi R8 LMS Evo2 2022 (GT3) |
9 |
+00:24.1610
|
01:29.5320 |
98.27% |
0 |
| 6 |
23 |
Yury Mukhin |
Nissan GT-R Nismo GT3 2018 |
7 |
+2 laps
|
01:31.4870 |
- |
0 |
| 7 |
46 |
Aakarshan Sharma |
BMW M4 GT3 |
6 |
+3 laps
|
01:27.3270 |
- |
0 |
| 8 |
40 |
mickael jolly |
Ferrari 488 GT3 |
5 |
+4 laps
|
01:35.8700 |
96.54% |
0 |
| 9 |
32 |
España Don Jamón |
Audi R8 LMS Evo 2019 (GT3) |
3 |
+6 laps
|
01:36.5820 |
- |
0 |
| 10 |
1 |
Krzysztof Rychter |
Ferrari 488 GT3 Evo |
0 |
DNF
|
- |
- |
0 |
| 11 |
7 |
Krzysztof Rychter |
Bentley Continental GT3 2018 |
0 |
DNF
|
- |
- |
0 |
| 12 |
4 |
Michael Šimon |
BMW M4 GT3 |
0 |
DNF
|
- |
- |
0 |
| 13 |
2 |
Sam Mourid |
BMW M4 GT3 |
0 |
DNF
|
- |
- |
0 |
| 14 |
64 |
лев левович |
Ford Mustang GT3 |
0 |
DNF
|
- |
- |
0 |
| 15 |
80 |
觉文 YE |
Audi R8 LMS Evo 2019 (GT3) |
0 |
DNF
|
- |
- |
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
สนั่นรัก ประสพแก้ว
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Porsche 991 II GT3 R 2019 |
01:38.4362 |
35.3692
|
25.1850
|
37.8820
|
|
2
(INVALID)
|
Porsche 991 II GT3 R 2019 |
01:28.4770 |
28.1320
|
22.5470
|
37.7970
|
|
3
|
Porsche 991 II GT3 R 2019 |
01:28.5400 |
29.1500
|
22.8620
|
36.5270
|
|
4
|
Porsche 991 II GT3 R 2019 |
01:28.1450 |
27.9470
|
22.9250
|
37.2720
|
|
5
|
Porsche 991 II GT3 R 2019 |
01:34.8320 |
29.2000
|
22.5500
|
43.0820
|
|
6
|
Porsche 991 II GT3 R 2019 |
01:29.7920 |
28.1350
|
23.4070
|
38.2500
|
|
7
(INVALID)
|
Porsche 991 II GT3 R 2019 |
01:42.9400 |
32.1900
|
28.4620
|
42.2870
|
|
8
|
Porsche 991 II GT3 R 2019 |
01:30.4420 |
28.5620
|
22.8650
|
39.0150
|
|
9
(INVALID)
|
Porsche 991 II GT3 R 2019 |
01:44.1000 |
28.9970
|
24.0770
|
51.0250
|
| Average |
|
01:33.9667 |
29.7425 |
23.8756 |
40.3486 |
| Best possible |
|
01:27.0210 |
27.9470 |
22.5470 |
36.5270 |
Alberto Usai
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Ferrari 296 GT3 |
01:37.7762 |
35.3772
|
24.6670
|
37.7320
|
|
2
|
Ferrari 296 GT3 |
01:30.5650 |
28.8770
|
23.2670
|
38.4200
|
|
3
|
Ferrari 296 GT3 |
01:29.4450 |
28.7070
|
22.6670
|
38.0700
|
|
4
(INVALID)
|
Ferrari 296 GT3 |
01:34.8870 |
33.9600
|
23.4870
|
37.4400
|
|
5
|
Ferrari 296 GT3 |
01:29.4070 |
29.0520
|
22.9320
|
37.4220
|
|
6
(INVALID)
|
Ferrari 296 GT3 |
01:32.9120 |
32.2370
|
22.7170
|
37.9570
|
|
7
|
Ferrari 296 GT3 |
01:28.8900 |
29.0250
|
22.7050
|
37.1600
|
|
8
(INVALID)
|
Ferrari 296 GT3 |
01:37.0500 |
28.8720
|
22.8150
|
45.3620
|
|
9
|
Ferrari 296 GT3 |
01:33.2000 |
29.8270
|
23.3300
|
40.0420
|
| Average |
|
01:32.6807 |
30.6594 |
23.1763 |
38.8450 |
| Best possible |
|
01:28.5340 |
28.7070 |
22.6670 |
37.1600 |
niger nigerowski
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Aston Martin Vantage V8 2019 (GT3) |
01:41.9122 |
35.3832
|
28.1470
|
38.3820
|
|
2
(INVALID)
|
Aston Martin Vantage V8 2019 (GT3) |
01:37.8050 |
32.2150
|
25.8650
|
39.7250
|
|
3
(INVALID)
|
Aston Martin Vantage V8 2019 (GT3) |
01:32.4050 |
30.1850
|
23.8320
|
38.3870
|
|
4
(INVALID)
|
Aston Martin Vantage V8 2019 (GT3) |
01:34.0150 |
31.2700
|
24.1420
|
38.6020
|
|
5
|
Aston Martin Vantage V8 2019 (GT3) |
01:31.5020 |
29.5900
|
23.6650
|
38.2470
|
|
6
|
Aston Martin Vantage V8 2019 (GT3) |
01:32.4650 |
29.8520
|
23.1470
|
39.4650
|
|
7
(INVALID)
|
Aston Martin Vantage V8 2019 (GT3) |
01:38.2770 |
30.2650
|
27.2250
|
40.7870
|
|
8
(INVALID)
|
Aston Martin Vantage V8 2019 (GT3) |
01:33.9420 |
30.7450
|
24.0000
|
39.1970
|
|
9
(INVALID)
|
Aston Martin Vantage V8 2019 (GT3) |
01:34.4620 |
31.1920
|
24.6420
|
38.6270
|
| Average |
|
01:35.1980 |
31.1886 |
24.9628 |
39.0466 |
| Best possible |
|
01:30.9840 |
29.5900 |
23.1470 |
38.2470 |
Krzysztof Rychter
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Porsche 992 GT3 R |
01:41.0652 |
35.3882
|
26.2770
|
39.4000
|
|
2
(INVALID)
|
Porsche 992 GT3 R |
01:35.1020 |
33.0100
|
24.0350
|
38.0570
|
|
3
(INVALID)
|
Porsche 992 GT3 R |
01:32.4670 |
30.4970
|
23.6820
|
38.2870
|
|
4
(INVALID)
|
Porsche 992 GT3 R |
01:41.7000 |
37.6720
|
24.9420
|
39.0850
|
|
5
|
Porsche 992 GT3 R |
01:31.3200 |
29.4800
|
23.7220
|
38.1170
|
|
6
(INVALID)
|
Porsche 992 GT3 R |
01:30.0500 |
29.4320
|
23.4070
|
37.2100
|
|
7
|
Porsche 992 GT3 R |
01:30.6220 |
28.8370
|
23.7400
|
38.0450
|
|
8
(INVALID)
|
Porsche 992 GT3 R |
01:39.5850 |
29.4150
|
26.1020
|
44.0670
|
|
9
|
Porsche 992 GT3 R |
01:32.9970 |
29.7170
|
23.6270
|
39.6520
|
| Average |
|
01:34.9891 |
31.4942 |
24.3927 |
39.1022 |
| Best possible |
|
01:29.4540 |
28.8370 |
23.4070 |
37.2100 |
JEAN JOSEPH LOPEZ
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Audi R8 LMS Evo2 2022 (GT3) |
01:38.7122 |
35.3922
|
24.3200
|
39.0000
|
|
2
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:38.7900 |
29.9820
|
29.1200
|
39.6870
|
|
3
|
Audi R8 LMS Evo2 2022 (GT3) |
01:30.2320 |
28.5170
|
23.1420
|
38.5720
|
|
4
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:32.8620 |
32.4900
|
22.6870
|
37.6850
|
|
5
|
Audi R8 LMS Evo2 2022 (GT3) |
01:31.2050 |
29.6470
|
22.8100
|
38.7470
|
|
6
|
Audi R8 LMS Evo2 2022 (GT3) |
01:29.5320 |
29.0450
|
22.8500
|
37.6370
|
|
7
|
Audi R8 LMS Evo2 2022 (GT3) |
01:31.7970 |
29.6700
|
23.0000
|
39.1270
|
|
8
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:37.5900 |
29.4350
|
22.8120
|
45.3420
|
|
9
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:33.6220 |
30.1750
|
22.6320
|
40.8150
|
| Average |
|
01:33.8154 |
30.4837 |
23.7081 |
39.6236 |
| Best possible |
|
01:28.7860 |
28.5170 |
22.6320 |
37.6370 |
Yury Mukhin
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
01:39.1912 |
35.3992
|
24.1800
|
39.6120
|
|
2
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
01:36.5620 |
29.5570
|
25.8150
|
41.1900
|
|
3
|
Nissan GT-R Nismo GT3 2018 |
01:31.4870 |
29.5170
|
23.2150
|
38.7550
|
|
4
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
01:37.9750 |
32.4570
|
23.0200
|
42.4970
|
|
5
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
01:39.7720 |
34.6770
|
25.1400
|
39.9550
|
|
6
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
01:41.5270 |
29.7750
|
26.7620
|
44.9900
|
|
7
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
01:36.5100 |
30.4600
|
24.4770
|
41.5720
|
| Average |
|
01:37.5745 |
31.6917 |
24.6584 |
41.2244 |
| Best possible |
|
01:31.2920 |
29.5170 |
23.0200 |
38.7550 |
Aakarshan Sharma
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
BMW M4 GT3 |
01:37.2292 |
35.4022
|
23.9670
|
37.8600
|
|
2
(INVALID)
|
BMW M4 GT3 |
01:29.3620 |
29.2850
|
22.2400
|
37.8370
|
|
3
|
BMW M4 GT3 |
01:27.4250 |
28.5050
|
22.3220
|
36.5970
|
|
4
|
BMW M4 GT3 |
01:27.3270 |
28.4800
|
22.4000
|
36.4470
|
|
5
(INVALID)
|
BMW M4 GT3 |
01:46.6900 |
28.7120
|
22.6420
|
55.3350
|
|
6
(INVALID)
|
BMW M4 GT3 |
01:30.8020 |
29.1150
|
22.4920
|
39.1950
|
| Average |
|
01:33.1389 |
29.9165 |
22.6772 |
40.5452 |
| Best possible |
|
01:27.1670 |
28.4800 |
22.2400 |
36.4470 |
mickael jolly
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Ferrari 488 GT3 |
01:44.8612 |
35.4112
|
24.4700
|
44.9800
|
|
2
|
Ferrari 488 GT3 |
01:35.8700 |
30.8800
|
24.7750
|
40.2150
|
|
3
(INVALID)
|
Ferrari 488 GT3 |
01:55.0720 |
40.5950
|
26.5320
|
47.9450
|
|
4
|
Ferrari 488 GT3 |
01:39.3700 |
32.3150
|
25.8000
|
41.2550
|
|
5
|
Ferrari 488 GT3 |
01:39.0120 |
31.3070
|
25.6150
|
42.0900
|
| Average |
|
01:42.8370 |
34.1016 |
25.4384 |
43.2970 |
| Best possible |
|
01:35.5650 |
30.8800 |
24.4700 |
40.2150 |
España Don Jamón
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Audi R8 LMS Evo 2019 (GT3) |
01:39.4472 |
35.4132
|
24.7770
|
39.2570
|
|
2
|
Audi R8 LMS Evo 2019 (GT3) |
01:36.5820 |
31.1100
|
26.8950
|
38.5770
|
|
3
(INVALID)
|
Audi R8 LMS Evo 2019 (GT3) |
01:32.9670 |
29.0350
|
25.5900
|
38.3420
|
| Average |
|
01:36.3320 |
31.8527 |
25.7540 |
38.7253 |
| Best possible |
|
01:32.1540 |
29.0350 |
24.7770 |
38.3420 |
Krzysztof Rychter
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Krzysztof Rychter
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Michael Šimon
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Sam Mourid
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
лев левович
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
觉文 YE
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Race best laps
| Overall top (20) |
| Driver |
Vehicle |
Time |
Gap |
|
Aakarshan Sharma
|
BMW M4 GT3 |
01:27.3270 |
|
|
Aakarshan Sharma
|
BMW M4 GT3 |
01:27.4250 |
0.098 |
|
สนั่นรัก ประสพแก้ว
|
Porsche 991 II GT3 R 2019 |
01:28.1450 |
0.818 |
|
สนั่นรัก ประสพแก้ว
|
Porsche 991 II GT3 R 2019 |
01:28.4770 |
1.15 |
|
สนั่นรัก ประสพแก้ว
|
Porsche 991 II GT3 R 2019 |
01:28.5400 |
1.213 |
|
Alberto Usai
|
Ferrari 296 GT3 |
01:28.8900 |
1.563 |
|
Aakarshan Sharma
|
BMW M4 GT3 |
01:29.3620 |
2.035 |
|
Alberto Usai
|
Ferrari 296 GT3 |
01:29.4070 |
2.08 |
|
Alberto Usai
|
Ferrari 296 GT3 |
01:29.4450 |
2.118 |
|
JEAN JOSEPH LOPEZ
|
Audi R8 LMS Evo2 2022 (GT3) |
01:29.5320 |
2.205 |
|
สนั่นรัก ประสพแก้ว
|
Porsche 991 II GT3 R 2019 |
01:29.7920 |
2.465 |
|
Krzysztof Rychter
|
Porsche 992 GT3 R |
01:30.0500 |
2.723 |
|
JEAN JOSEPH LOPEZ
|
Audi R8 LMS Evo2 2022 (GT3) |
01:30.2320 |
2.905 |
|
สนั่นรัก ประสพแก้ว
|
Porsche 991 II GT3 R 2019 |
01:30.4420 |
3.115 |
|
Alberto Usai
|
Ferrari 296 GT3 |
01:30.5650 |
3.238 |
|
Krzysztof Rychter
|
Porsche 992 GT3 R |
01:30.6220 |
3.295 |
|
Aakarshan Sharma
|
BMW M4 GT3 |
01:30.8020 |
3.475 |
|
JEAN JOSEPH LOPEZ
|
Audi R8 LMS Evo2 2022 (GT3) |
01:31.2050 |
3.878 |
|
Krzysztof Rychter
|
Porsche 992 GT3 R |
01:31.3200 |
3.993 |
|
Yury Mukhin
|
Nissan GT-R Nismo GT3 2018 |
01:31.4870 |
4.16 |
| Per driver |
| Driver |
Vehicle |
Time |
Gap |
|
Aakarshan Sharma
|
BMW M4 GT3 |
01:27.3270 |
|
|
สนั่นรัก ประสพแก้ว
|
Porsche 991 II GT3 R 2019 |
01:28.1450 |
0.818 |
|
Alberto Usai
|
Ferrari 296 GT3 |
01:28.8900 |
1.563 |
|
JEAN JOSEPH LOPEZ
|
Audi R8 LMS Evo2 2022 (GT3) |
01:29.5320 |
2.205 |
|
Krzysztof Rychter
|
Porsche 992 GT3 R |
01:30.6220 |
3.295 |
|
Yury Mukhin
|
Nissan GT-R Nismo GT3 2018 |
01:31.4870 |
4.16 |
|
niger nigerowski
|
Aston Martin Vantage V8 2019 (GT3) |
01:31.5020 |
4.175 |
|
mickael jolly
|
Ferrari 488 GT3 |
01:35.8700 |
8.543 |
|
España Don Jamón
|
Audi R8 LMS Evo 2019 (GT3) |
01:36.5820 |
9.255 |
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 |
|
Krzysztof Rychter
|
Porsche 992 GT3 R |
98.30% <> 1.5365 |
|
JEAN JOSEPH LOPEZ
|
Audi R8 LMS Evo2 2022 (GT3) |
98.27% <> 1.546 |
|
Alberto Usai
|
Ferrari 296 GT3 |
98.02% <> 1.7642 |
|
สนั่นรัก ประสพแก้ว
|
Porsche 991 II GT3 R 2019 |
96.87% <> 2.7565 |
|
mickael jolly
|
Ferrari 488 GT3 |
96.54% <> 3.321 |
|
niger nigerowski
|
Aston Martin Vantage V8 2019 (GT3) |
- |
|
Yury Mukhin
|
Nissan GT-R Nismo GT3 2018 |
- |
|
Aakarshan Sharma
|
BMW M4 GT3 |
- |
|
España Don Jamón
|
Audi R8 LMS Evo 2019 (GT3) |
- |
|
Krzysztof Rychter
|
Ferrari 488 GT3 Evo |
- |
|
Krzysztof Rychter
|
Bentley Continental GT3 2018 |
- |
|
Michael Šimon
|
BMW M4 GT3 |
- |
|
Sam Mourid
|
BMW M4 GT3 |
- |
|
лев левович
|
Ford Mustang GT3 |
- |
|
觉文 YE
|
Audi R8 LMS Evo 2019 (GT3) |
- |
Race sectors
| Sector 1 |
| Driver |
Time |
Gap |
|
สนั่นรัก ประสพแก้ว
|
27.9470 |
- |
|
Aakarshan Sharma
|
28.4800 |
0.5330 |
|
JEAN JOSEPH LOPEZ
|
28.5170 |
0.5700 |
|
Alberto Usai
|
28.7070 |
0.7600 |
|
Krzysztof Rychter
|
28.8370 |
0.8900 |
|
España Don Jamón
|
29.0350 |
1.0880 |
|
Yury Mukhin
|
29.5170 |
1.5700 |
|
niger nigerowski
|
29.5900 |
1.6430 |
|
mickael jolly
|
30.8800 |
2.9330 |
| Sector 2 |
| Driver |
Time |
Gap |
|
Aakarshan Sharma
|
22.2400 |
- |
|
สนั่นรัก ประสพแก้ว
|
22.5470 |
0.3070 |
|
JEAN JOSEPH LOPEZ
|
22.6320 |
0.3920 |
|
Alberto Usai
|
22.6670 |
0.4270 |
|
Yury Mukhin
|
23.0200 |
0.7800 |
|
niger nigerowski
|
23.1470 |
0.9070 |
|
Krzysztof Rychter
|
23.4070 |
1.1670 |
|
mickael jolly
|
24.4700 |
2.2300 |
|
España Don Jamón
|
24.7770 |
2.5370 |
| Sector 3 |
| Driver |
Time |
Gap |
|
Aakarshan Sharma
|
36.4470 |
- |
|
สนั่นรัก ประสพแก้ว
|
36.5270 |
0.0800 |
|
Alberto Usai
|
37.1600 |
0.7130 |
|
Krzysztof Rychter
|
37.2100 |
0.7630 |
|
JEAN JOSEPH LOPEZ
|
37.6370 |
1.1900 |
|
niger nigerowski
|
38.2470 |
1.8000 |
|
España Don Jamón
|
38.3420 |
1.8950 |
|
Yury Mukhin
|
38.7550 |
2.3080 |
|
mickael jolly
|
40.2150 |
3.7680 |
Race positions
Fullscreen
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Race gaps
The leader is the top baseline.
Fullscreen
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Race gaps v2
Average lap time of the winner is the top baseline.
Fullscreen
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