Race result
| Game |
Assetto Corsa Competizione |
| Session |
Race |
| Track |
brands_hatch |
| Winner |
Jay Will
|
| Led most laps |
Jay Will |
| Best lap |
Jay Will (01:27.2100) |
| Lasted laps |
10 |
| 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 |
3 |
Jay Will |
Mercedes AMG GT3 |
10 |
15:18.9050
|
01:27.2100 |
99.33% |
5 |
| 2 |
82 |
PatatoDeLaMoarte Junior |
BMW M4 GT3 |
10 |
+-00:16.7090
|
01:28.5550 |
98.64% |
5 |
| 3 |
4 |
c2lx . |
BMW M4 GT3 |
10 |
+00:05.7440
|
01:28.2250 |
96.59% |
0 |
| 4 |
70 |
Diogo Almeida |
Aston Martin Vantage V8 2019 (GT3) |
9 |
+1 lap
|
01:29.1370 |
96.92% |
0 |
| 5 |
2 |
Nigel Stokes |
Audi R8 GT3 2015 |
9 |
+1 lap
|
01:32.4400 |
98.73% |
0 |
| 6 |
88 |
gaetano marletta |
Ferrari 296 GT3 |
6 |
+4 laps
|
01:29.0620 |
- |
0 |
| 7 |
334 |
David Di Leone |
Ferrari 488 GT3 |
5 |
+5 laps
|
01:30.3050 |
- |
0 |
| 8 |
63 |
Yael Theviot |
Lamborghini Huracan Evo 2019 (GT3) |
3 |
+7 laps
|
01:38.4960 |
- |
0 |
| 9 |
24 |
Teddy SOR[FRA] |
Nissan GT-R Nismo GT3 2018 |
2 |
+8 laps
|
01:30.2570 |
- |
0 |
| 10 |
23 |
sylvain rigaud |
Nissan GT-R Nismo GT3 2018 |
2 |
+8 laps
|
- |
- |
0 |
| 11 |
51 |
Gustavo Coutinho |
Ferrari 488 GT3 Evo |
2 |
+8 laps
|
01:34.2920 |
- |
0 |
| 12 |
1 |
Eliška Vohnoutová |
McLaren 720S GT3 Evo 2023 |
0 |
DNF
|
- |
- |
0 |
| 13 |
720 |
Daniel Morales |
McLaren 720S GT3 Special |
0 |
DNF
|
- |
- |
0 |
| 14 |
333 |
bakr battikhi |
Ferrari 488 GT3 |
0 |
DNF
|
- |
- |
0 |
| 15 |
65 |
bakr battikhi |
Ford Mustang 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
Jay Will
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Mercedes AMG GT3 |
01:34.7860 |
34.6940
|
23.2950
|
36.7970
|
|
2
(INVALID)
|
Mercedes AMG GT3 |
01:29.3750 |
29.9750
|
22.5550
|
36.8450
|
|
3
|
Mercedes AMG GT3 |
01:28.2400 |
28.0820
|
22.6100
|
37.5470
|
|
4
(INVALID)
|
Mercedes AMG GT3 |
01:27.3650 |
28.5620
|
22.5970
|
36.2050
|
|
5
(INVALID)
|
Mercedes AMG GT3 |
01:28.1600 |
28.7650
|
22.9220
|
36.4720
|
|
6
(INVALID)
|
Mercedes AMG GT3 |
01:28.6170 |
28.3650
|
23.5970
|
36.6550
|
|
7
|
Mercedes AMG GT3 |
01:27.2100 |
28.1300
|
22.5850
|
36.4950
|
|
8
|
Mercedes AMG GT3 |
01:27.3070 |
28.4550
|
22.6400
|
36.2120
|
|
9
|
Mercedes AMG GT3 |
01:28.0850 |
28.6700
|
22.9100
|
36.5050
|
|
10
|
Mercedes AMG GT3 |
01:27.5520 |
28.2720
|
22.9550
|
36.3250
|
| Average |
|
01:28.6694 |
29.1970 |
22.8666 |
36.6058 |
| Best possible |
|
01:26.8420 |
28.0820 |
22.5550 |
36.2050 |
PatatoDeLaMoarte Junior
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
BMW M4 GT3 |
01:34.8520 |
34.6950
|
22.8570
|
37.3000
|
|
2
|
BMW M4 GT3 |
01:29.9000 |
28.6400
|
23.1920
|
38.0670
|
|
3
|
BMW M4 GT3 |
01:29.0200 |
28.5920
|
23.0250
|
37.4020
|
|
4
|
BMW M4 GT3 |
01:29.8850 |
28.8300
|
23.2450
|
37.8100
|
|
5
(INVALID)
|
BMW M4 GT3 |
01:29.2820 |
29.2400
|
22.8720
|
37.1700
|
|
6
(INVALID)
|
BMW M4 GT3 |
01:31.2400 |
29.1450
|
23.5470
|
38.5470
|
|
7
|
BMW M4 GT3 |
01:28.5550 |
28.7220
|
22.7620
|
37.0700
|
|
8
(INVALID)
|
BMW M4 GT3 |
01:31.3050 |
30.4950
|
23.3250
|
37.4850
|
|
9
|
BMW M4 GT3 |
01:30.1050 |
29.7220
|
22.9200
|
37.4620
|
|
10
|
BMW M4 GT3 |
01:29.8820 |
28.8700
|
23.6750
|
37.3370
|
| Average |
|
01:30.4021 |
29.6951 |
23.1420 |
37.5650 |
| Best possible |
|
01:28.4240 |
28.5920 |
22.7620 |
37.0700 |
c2lx .
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
BMW M4 GT3 |
01:36.3100 |
34.6980
|
23.2520
|
38.3600
|
|
2
(INVALID)
|
BMW M4 GT3 |
01:30.3320 |
30.6750
|
23.1100
|
36.5470
|
|
3
(INVALID)
|
BMW M4 GT3 |
01:30.7150 |
28.9350
|
23.0320
|
38.7470
|
|
4
|
BMW M4 GT3 |
01:28.2250 |
28.7400
|
22.7600
|
36.7250
|
|
5
(INVALID)
|
BMW M4 GT3 |
01:32.1370 |
31.3750
|
23.5250
|
37.2370
|
|
6
(INVALID)
|
BMW M4 GT3 |
01:32.6600 |
31.6800
|
22.7320
|
38.2470
|
|
7
(INVALID)
|
BMW M4 GT3 |
01:40.3020 |
29.7700
|
22.9650
|
47.5670
|
|
8
|
BMW M4 GT3 |
01:30.3520 |
29.6100
|
23.2200
|
37.5220
|
|
9
|
BMW M4 GT3 |
01:31.2620 |
30.5850
|
22.8720
|
37.8050
|
|
10
|
BMW M4 GT3 |
01:32.0800 |
29.5150
|
23.5270
|
39.0370
|
| Average |
|
01:32.4372 |
30.5583 |
23.0995 |
38.7794 |
| Best possible |
|
01:28.0190 |
28.7400 |
22.7320 |
36.5470 |
Diogo Almeida
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Aston Martin Vantage V8 2019 (GT3) |
01:35.9650 |
34.7050
|
23.0000
|
38.2600
|
|
2
|
Aston Martin Vantage V8 2019 (GT3) |
01:29.1370 |
28.9950
|
22.8070
|
37.3350
|
|
3
|
Aston Martin Vantage V8 2019 (GT3) |
01:31.1550 |
29.2600
|
23.4770
|
38.4170
|
|
4
|
Aston Martin Vantage V8 2019 (GT3) |
01:33.5870 |
30.5150
|
25.3500
|
37.7220
|
|
5
|
Aston Martin Vantage V8 2019 (GT3) |
01:31.9400 |
29.6150
|
22.8600
|
39.4650
|
|
6
(INVALID)
|
Aston Martin Vantage V8 2019 (GT3) |
01:33.0670 |
31.4200
|
24.0350
|
37.6120
|
|
7
(INVALID)
|
Aston Martin Vantage V8 2019 (GT3) |
01:35.0320 |
31.4520
|
25.4150
|
38.1650
|
|
8
|
Aston Martin Vantage V8 2019 (GT3) |
01:30.7750 |
29.6750
|
23.4670
|
37.6320
|
|
9
|
Aston Martin Vantage V8 2019 (GT3) |
01:31.9520 |
29.0770
|
24.7370
|
38.1370
|
| Average |
|
01:32.5119 |
30.5238 |
23.9053 |
38.0828 |
| Best possible |
|
01:29.1370 |
28.9950 |
22.8070 |
37.3350 |
Nigel Stokes
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Audi R8 GT3 2015 |
02:00.2720 |
34.7130
|
25.8170
|
59.7420
|
|
2
|
Audi R8 GT3 2015 |
01:33.9450 |
30.5600
|
24.8300
|
38.5550
|
|
3
(INVALID)
|
Audi R8 GT3 2015 |
01:33.9700 |
29.5800
|
23.6770
|
40.7120
|
|
4
|
Audi R8 GT3 2015 |
01:34.3370 |
31.3220
|
23.9600
|
39.0550
|
|
5
(INVALID)
|
Audi R8 GT3 2015 |
01:39.9650 |
35.0520
|
25.4400
|
39.4720
|
|
6
|
Audi R8 GT3 2015 |
01:33.1350 |
30.0270
|
23.8320
|
39.2750
|
|
7
|
Audi R8 GT3 2015 |
01:33.5270 |
29.6000
|
24.2350
|
39.6920
|
|
8
|
Audi R8 GT3 2015 |
01:33.1150 |
30.9150
|
23.8200
|
38.3800
|
|
9
|
Audi R8 GT3 2015 |
01:32.4400 |
30.0950
|
23.8050
|
38.5400
|
| Average |
|
01:37.1892 |
31.3182 |
24.3796 |
41.4914 |
| Best possible |
|
01:31.6370 |
29.5800 |
23.6770 |
38.3800 |
gaetano marletta
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Ferrari 296 GT3 |
01:35.6050 |
34.7150
|
23.3450
|
37.5450
|
|
2
|
Ferrari 296 GT3 |
01:29.0620 |
29.0870
|
22.8500
|
37.1250
|
|
3
(INVALID)
|
Ferrari 296 GT3 |
01:36.4820 |
28.8850
|
22.5370
|
45.0600
|
|
4
(INVALID)
|
Ferrari 296 GT3 |
01:31.4270 |
29.2400
|
22.5000
|
39.6870
|
|
5
(INVALID)
|
Ferrari 296 GT3 |
01:29.9470 |
29.9970
|
23.0770
|
36.8720
|
|
6
|
Ferrari 296 GT3 |
01:29.4870 |
29.0100
|
22.8070
|
37.6700
|
| Average |
|
01:32.0016 |
30.1557 |
22.8527 |
38.9932 |
| Best possible |
|
01:28.2570 |
28.8850 |
22.5000 |
36.8720 |
David Di Leone
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Ferrari 488 GT3 |
01:37.2940 |
34.7240
|
23.6850
|
38.8850
|
|
2
|
Ferrari 488 GT3 |
01:30.3050 |
29.3120
|
23.4870
|
37.5050
|
|
3
(INVALID)
|
Ferrari 488 GT3 |
01:43.8670 |
28.9850
|
24.5370
|
50.3450
|
|
4
(INVALID)
|
Ferrari 488 GT3 |
01:32.2850 |
30.1000
|
24.0870
|
38.0970
|
|
5
(INVALID)
|
Ferrari 488 GT3 |
01:30.3000 |
28.8750
|
23.7850
|
37.6400
|
| Average |
|
01:34.8098 |
30.3992 |
23.9162 |
40.4944 |
| Best possible |
|
01:29.8670 |
28.8750 |
23.4870 |
37.5050 |
Yael Theviot
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Lamborghini Huracan Evo 2019 (GT3) |
01:38.4960 |
34.7290
|
23.9920
|
39.7750
|
|
2
(INVALID)
|
Lamborghini Huracan Evo 2019 (GT3) |
01:35.0270 |
30.6200
|
25.7320
|
38.6750
|
|
3
(INVALID)
|
Lamborghini Huracan Evo 2019 (GT3) |
01:36.7450 |
31.4050
|
24.6000
|
40.7400
|
| Average |
|
01:36.7560 |
32.2513 |
24.7747 |
39.7300 |
| Best possible |
|
01:33.2870 |
30.6200 |
23.9920 |
38.6750 |
Teddy SOR[FRA]
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
01:36.8050 |
34.7400
|
23.1300
|
38.9350
|
|
2
|
Nissan GT-R Nismo GT3 2018 |
01:30.2570 |
29.2350
|
23.8670
|
37.1550
|
| Average |
|
01:33.5310 |
31.9875 |
23.4985 |
38.0450 |
| Best possible |
|
01:29.5200 |
29.2350 |
23.1300 |
37.1550 |
sylvain rigaud
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
01:37.7720 |
34.7500
|
24.1170
|
38.9050
|
|
2
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
01:34.3270 |
29.6270
|
26.3550
|
38.3450
|
| Average |
|
01:36.0495 |
32.1885 |
25.2360 |
38.6250 |
| Best possible |
|
01:32.0890 |
29.6270 |
24.1170 |
38.3450 |
Gustavo Coutinho
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Ferrari 488 GT3 Evo |
01:38.9400 |
34.7560
|
24.4720
|
39.7120
|
|
2
|
Ferrari 488 GT3 Evo |
01:34.2920 |
30.3770
|
23.1720
|
40.7420
|
| Average |
|
01:36.6155 |
32.5665 |
23.8220 |
40.2270 |
| Best possible |
|
01:33.2610 |
30.3770 |
23.1720 |
39.7120 |
Eliška Vohnoutová
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Daniel Morales
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
bakr battikhi
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
bakr battikhi
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Race best laps
| Overall top (20) |
| Driver |
Vehicle |
Time |
Gap |
|
Jay Will
|
Mercedes AMG GT3 |
01:27.2100 |
|
|
Jay Will
|
Mercedes AMG GT3 |
01:27.3070 |
0.097 |
|
Jay Will
|
Mercedes AMG GT3 |
01:27.3650 |
0.155 |
|
Jay Will
|
Mercedes AMG GT3 |
01:27.5520 |
0.342 |
|
Jay Will
|
Mercedes AMG GT3 |
01:28.0850 |
0.875 |
|
Jay Will
|
Mercedes AMG GT3 |
01:28.1600 |
0.95 |
|
c2lx .
|
BMW M4 GT3 |
01:28.2250 |
1.015 |
|
Jay Will
|
Mercedes AMG GT3 |
01:28.2400 |
1.03 |
|
PatatoDeLaMoarte Junior
|
BMW M4 GT3 |
01:28.5550 |
1.345 |
|
Jay Will
|
Mercedes AMG GT3 |
01:28.6170 |
1.407 |
|
PatatoDeLaMoarte Junior
|
BMW M4 GT3 |
01:29.0200 |
1.81 |
|
gaetano marletta
|
Ferrari 296 GT3 |
01:29.0620 |
1.852 |
|
Diogo Almeida
|
Aston Martin Vantage V8 2019 (GT3) |
01:29.1370 |
1.927 |
|
PatatoDeLaMoarte Junior
|
BMW M4 GT3 |
01:29.2820 |
2.072 |
|
Jay Will
|
Mercedes AMG GT3 |
01:29.3750 |
2.165 |
|
gaetano marletta
|
Ferrari 296 GT3 |
01:29.4870 |
2.277 |
|
PatatoDeLaMoarte Junior
|
BMW M4 GT3 |
01:29.8820 |
2.672 |
|
PatatoDeLaMoarte Junior
|
BMW M4 GT3 |
01:29.8850 |
2.675 |
|
PatatoDeLaMoarte Junior
|
BMW M4 GT3 |
01:29.9000 |
2.69 |
|
gaetano marletta
|
Ferrari 296 GT3 |
01:29.9470 |
2.737 |
| Per driver |
| Driver |
Vehicle |
Time |
Gap |
|
Jay Will
|
Mercedes AMG GT3 |
01:27.2100 |
|
|
c2lx .
|
BMW M4 GT3 |
01:28.2250 |
1.015 |
|
PatatoDeLaMoarte Junior
|
BMW M4 GT3 |
01:28.5550 |
1.345 |
|
gaetano marletta
|
Ferrari 296 GT3 |
01:29.0620 |
1.852 |
|
Diogo Almeida
|
Aston Martin Vantage V8 2019 (GT3) |
01:29.1370 |
1.927 |
|
Teddy SOR[FRA]
|
Nissan GT-R Nismo GT3 2018 |
01:30.2570 |
3.047 |
|
David Di Leone
|
Ferrari 488 GT3 |
01:30.3050 |
3.095 |
|
Nigel Stokes
|
Audi R8 GT3 2015 |
01:32.4400 |
5.23 |
|
Gustavo Coutinho
|
Ferrari 488 GT3 Evo |
01:34.2920 |
7.082 |
|
Yael Theviot
|
Lamborghini Huracan Evo 2019 (GT3) |
01:38.4960 |
11.286 |
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 |
|
Jay Will
|
Mercedes AMG GT3 |
99.33% <> 0.586 |
|
Nigel Stokes
|
Audi R8 GT3 2015 |
98.73% <> 1.1718 |
|
PatatoDeLaMoarte Junior
|
BMW M4 GT3 |
98.64% <> 1.2034 |
|
Diogo Almeida
|
Aston Martin Vantage V8 2019 (GT3) |
96.92% <> 2.7448 |
|
c2lx .
|
BMW M4 GT3 |
96.59% <> 3.0063 |
|
gaetano marletta
|
Ferrari 296 GT3 |
- |
|
David Di Leone
|
Ferrari 488 GT3 |
- |
|
Yael Theviot
|
Lamborghini Huracan Evo 2019 (GT3) |
- |
|
Teddy SOR[FRA]
|
Nissan GT-R Nismo GT3 2018 |
- |
|
sylvain rigaud
|
Nissan GT-R Nismo GT3 2018 |
- |
|
Gustavo Coutinho
|
Ferrari 488 GT3 Evo |
- |
|
Eliška Vohnoutová
|
McLaren 720S GT3 Evo 2023 |
- |
|
Daniel Morales
|
McLaren 720S GT3 Special |
- |
|
bakr battikhi
|
Ferrari 488 GT3 |
- |
|
bakr battikhi
|
Ford Mustang GT3 |
- |
Race sectors
| Sector 1 |
| Driver |
Time |
Gap |
|
Jay Will
|
28.0820 |
- |
|
PatatoDeLaMoarte Junior
|
28.5920 |
0.5100 |
|
c2lx .
|
28.7400 |
0.6580 |
|
David Di Leone
|
28.8750 |
0.7930 |
|
gaetano marletta
|
28.8850 |
0.8030 |
|
Diogo Almeida
|
28.9950 |
0.9130 |
|
Teddy SOR[FRA]
|
29.2350 |
1.1530 |
|
Nigel Stokes
|
29.5800 |
1.4980 |
|
sylvain rigaud
|
29.6270 |
1.5450 |
|
Gustavo Coutinho
|
30.3770 |
2.2950 |
|
Yael Theviot
|
30.6200 |
2.5380 |
| Sector 2 |
| Driver |
Time |
Gap |
|
gaetano marletta
|
22.5000 |
- |
|
Jay Will
|
22.5550 |
0.0550 |
|
c2lx .
|
22.7320 |
0.2320 |
|
PatatoDeLaMoarte Junior
|
22.7620 |
0.2620 |
|
Diogo Almeida
|
22.8070 |
0.3070 |
|
Teddy SOR[FRA]
|
23.1300 |
0.6300 |
|
Gustavo Coutinho
|
23.1720 |
0.6720 |
|
David Di Leone
|
23.4870 |
0.9870 |
|
Nigel Stokes
|
23.6770 |
1.1770 |
|
Yael Theviot
|
23.9920 |
1.4920 |
|
sylvain rigaud
|
24.1170 |
1.6170 |
| Sector 3 |
| Driver |
Time |
Gap |
|
Jay Will
|
36.2050 |
- |
|
c2lx .
|
36.5470 |
0.3420 |
|
gaetano marletta
|
36.8720 |
0.6670 |
|
PatatoDeLaMoarte Junior
|
37.0700 |
0.8650 |
|
Teddy SOR[FRA]
|
37.1550 |
0.9500 |
|
Diogo Almeida
|
37.3350 |
1.1300 |
|
David Di Leone
|
37.5050 |
1.3000 |
|
sylvain rigaud
|
38.3450 |
2.1400 |
|
Nigel Stokes
|
38.3800 |
2.1750 |
|
Yael Theviot
|
38.6750 |
2.4700 |
|
Gustavo Coutinho
|
39.7120 |
3.5070 |
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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