Race result
| Game |
Assetto Corsa Competizione |
| Session |
Race |
| Track |
brands_hatch |
| Winner |
Merino Wu
|
| Led most laps |
Merino Wu |
| Best lap |
Merino Wu (01:23.8870) |
| 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 |
30 |
Merino Wu |
Honda NSX Evo 2019 (GT3) |
10 |
15:23.1300
|
01:23.8870 |
97.45% |
10 |
| 2 |
94 |
Gabriel . |
McLaren 720S GT3 Evo 2023 |
10 |
+00:02.8870
|
01:28.1970 |
99.61% |
0 |
| 3 |
21 |
Yunus Emre Çalışkan |
BMW M4 GT3 |
9 |
+1 lap
|
01:35.7050 |
- |
0 |
| 4 |
17 |
Taha Yusuf Karaca |
Mercedes AMG GT3 |
9 |
+1 lap
|
01:34.5600 |
99.20% |
0 |
| 5 |
3 |
antonio atzeni |
Ferrari 296 GT3 |
8 |
+2 laps
|
01:35.9850 |
- |
0 |
| 6 |
69 |
Josh Lim |
Ferrari 296 GT3 |
5 |
+5 laps
|
- |
- |
0 |
| 7 |
95 |
Bennett Giese |
Mercedes AMG GT3 2020 |
5 |
+5 laps
|
01:29.7300 |
- |
0 |
| 8 |
111 |
Caden Sho |
McLaren 720S GT3 Evo 2023 |
5 |
+5 laps
|
01:28.5770 |
- |
0 |
| 9 |
166 |
Eagle Flies |
Porsche 991 II GT3 R 2019 |
3 |
+7 laps
|
- |
- |
0 |
| 10 |
221 |
robert barabas |
Porsche 991 II GT3 R 2019 |
0 |
DNF
|
- |
- |
0 |
| 11 |
93 |
Bennett Giese |
Ferrari 296 GT3 |
0 |
DNF
|
- |
- |
0 |
| 12 |
2 |
Mike Har |
Ferrari 488 GT3 |
0 |
DNF
|
- |
- |
0 |
| 13 |
112 |
Luís Martins |
McLaren 720S GT3 Evo 2023 |
0 |
DNF
|
- |
- |
0 |
| 14 |
64 |
ramas RAMAS |
Ford Mustang GT3 |
0 |
DNF
|
- |
- |
0 |
| 15 |
720 |
Павел наверное |
McLaren 720S GT3 Evo 2023 |
0 |
DNF
|
- |
- |
0 |
| 16 |
46 |
SCAR SCAR |
BMW M4 GT3 |
0 |
DNF
|
- |
- |
0 |
| 17 |
79 |
Felix Schumacher |
Mercedes AMG GT3 2020 |
0 |
DNF
|
- |
- |
0 |
| 18 |
159 |
Ikhsan Arifianto |
McLaren 720S GT3 Evo 2023 |
0 |
DNF
|
- |
- |
0 |
| 19 |
1 |
BEHA v |
Audi R8 GT3 2015 |
3 |
+7 laps
|
- |
- |
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
Merino Wu
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Honda NSX Evo 2019 (GT3) |
01:33.5075 |
35.8605
|
21.9850
|
35.6620
|
|
2
|
Honda NSX Evo 2019 (GT3) |
01:24.2650 |
27.3320
|
21.7800
|
35.1520
|
|
3
|
Honda NSX Evo 2019 (GT3) |
01:23.8870 |
26.9720
|
21.8400
|
35.0750
|
|
4
|
Honda NSX Evo 2019 (GT3) |
01:23.9800 |
27.2020
|
21.7920
|
34.9850
|
|
5
|
Honda NSX Evo 2019 (GT3) |
01:24.8700 |
27.0250
|
21.7250
|
36.1200
|
|
6
|
Honda NSX Evo 2019 (GT3) |
01:24.0070 |
27.0950
|
21.7470
|
35.1650
|
|
7
|
Honda NSX Evo 2019 (GT3) |
01:24.3800 |
27.5320
|
21.8070
|
35.0400
|
|
8
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
01:38.2900 |
35.6600
|
22.4350
|
40.1950
|
|
9
|
Honda NSX Evo 2019 (GT3) |
01:30.2820 |
31.3400
|
22.9550
|
35.9870
|
|
10
|
Honda NSX Evo 2019 (GT3) |
01:30.3800 |
27.6850
|
23.2820
|
39.4120
|
| Average |
|
01:27.7845 |
29.3704 |
22.1348 |
36.2793 |
| Best possible |
|
01:23.6820 |
26.9720 |
21.7250 |
34.9850 |
Gabriel .
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
McLaren 720S GT3 Evo 2023 |
01:36.3955 |
35.8635
|
22.8250
|
37.7070
|
|
2
(INVALID)
|
McLaren 720S GT3 Evo 2023 |
01:30.6400 |
28.5220
|
23.5770
|
38.5400
|
|
3
|
McLaren 720S GT3 Evo 2023 |
01:28.1970 |
28.5270
|
22.6250
|
37.0450
|
|
4
(INVALID)
|
McLaren 720S GT3 Evo 2023 |
01:28.7820 |
29.0070
|
22.9750
|
36.8000
|
|
5
(INVALID)
|
McLaren 720S GT3 Evo 2023 |
01:31.1700 |
31.1850
|
22.7850
|
37.2000
|
|
6
(INVALID)
|
McLaren 720S GT3 Evo 2023 |
01:29.3620 |
28.9700
|
22.8750
|
37.5170
|
|
7
|
McLaren 720S GT3 Evo 2023 |
01:28.7450 |
28.9550
|
22.8520
|
36.9370
|
|
8
|
McLaren 720S GT3 Evo 2023 |
01:28.5770 |
28.5400
|
22.7800
|
37.2570
|
|
9
(INVALID)
|
McLaren 720S GT3 Evo 2023 |
01:30.1600 |
30.3650
|
23.1200
|
36.6750
|
|
10
|
McLaren 720S GT3 Evo 2023 |
01:28.3100 |
28.5570
|
22.8200
|
36.9320
|
| Average |
|
01:30.0335 |
29.8491 |
22.9234 |
37.2610 |
| Best possible |
|
01:27.8220 |
28.5220 |
22.6250 |
36.6750 |
Yunus Emre Çalışkan
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
BMW M4 GT3 |
01:42.7735 |
35.8695
|
26.5920
|
40.3120
|
|
2
|
BMW M4 GT3 |
01:35.7050 |
30.9920
|
24.5350
|
40.1770
|
|
3
(INVALID)
|
BMW M4 GT3 |
01:38.3720 |
32.9620
|
24.6170
|
40.7920
|
|
4
(INVALID)
|
BMW M4 GT3 |
01:38.3600 |
30.6800
|
24.9270
|
42.7520
|
|
5
(INVALID)
|
BMW M4 GT3 |
01:37.0370 |
31.7500
|
24.6500
|
40.6370
|
|
6
|
BMW M4 GT3 |
01:38.6970 |
31.6150
|
25.8950
|
41.1870
|
|
7
(INVALID)
|
BMW M4 GT3 |
01:39.5050 |
31.1870
|
27.2420
|
41.0750
|
|
8
(INVALID)
|
BMW M4 GT3 |
01:36.7150 |
31.1970
|
25.0620
|
40.4550
|
|
9
(INVALID)
|
BMW M4 GT3 |
01:35.1950 |
30.8000
|
24.7020
|
39.6920
|
| Average |
|
01:38.0393 |
31.8947 |
25.3580 |
40.7866 |
| Best possible |
|
01:34.9070 |
30.6800 |
24.5350 |
39.6920 |
Taha Yusuf Karaca
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Mercedes AMG GT3 |
01:42.3115 |
35.8765
|
24.8850
|
41.5500
|
|
2
(INVALID)
|
Mercedes AMG GT3 |
01:51.1370 |
30.7020
|
24.6070
|
55.8270
|
|
3
(INVALID)
|
Mercedes AMG GT3 |
01:35.6100 |
31.2920
|
24.1970
|
40.1200
|
|
4
|
Mercedes AMG GT3 |
01:35.5220 |
30.5320
|
24.3420
|
40.6470
|
|
5
(INVALID)
|
Mercedes AMG GT3 |
01:40.2550 |
31.8400
|
28.1470
|
40.2670
|
|
6
(INVALID)
|
Mercedes AMG GT3 |
01:34.2350 |
30.6500
|
24.1670
|
39.4170
|
|
7
|
Mercedes AMG GT3 |
01:35.3700 |
30.5600
|
24.2120
|
40.5970
|
|
8
|
Mercedes AMG GT3 |
01:35.0650 |
30.6200
|
24.6370
|
39.8070
|
|
9
|
Mercedes AMG GT3 |
01:34.5600 |
30.6020
|
23.7920
|
40.1650
|
| Average |
|
01:38.2286 |
31.4083 |
24.7762 |
42.0441 |
| Best possible |
|
01:33.7410 |
30.5320 |
23.7920 |
39.4170 |
antonio atzeni
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Ferrari 296 GT3 |
01:39.9155 |
35.8815
|
24.7820
|
39.2520
|
|
2
(INVALID)
|
Ferrari 296 GT3 |
01:37.0850 |
32.0670
|
25.1050
|
39.9120
|
|
3
(INVALID)
|
Ferrari 296 GT3 |
01:36.1870 |
30.5220
|
27.3950
|
38.2700
|
|
4
(INVALID)
|
Ferrari 296 GT3 |
01:35.2200 |
31.6470
|
24.0520
|
39.5200
|
|
5
|
Ferrari 296 GT3 |
01:35.9850 |
30.9950
|
24.9620
|
40.0270
|
|
6
(INVALID)
|
Ferrari 296 GT3 |
01:37.3550 |
33.7750
|
24.3100
|
39.2700
|
|
7
(INVALID)
|
Ferrari 296 GT3 |
03:11.6350 |
33.5420
|
25.0820
|
133.0100
|
|
8
(INVALID)
|
Ferrari 296 GT3 |
01:39.4670 |
35.5650
|
24.4020
|
39.5000
|
| Average |
|
01:49.1057 |
32.9993 |
25.0113 |
51.0951 |
| Best possible |
|
01:32.8440 |
30.5220 |
24.0520 |
38.2700 |
Josh Lim
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Ferrari 296 GT3 |
01:44.5165 |
35.8895
|
26.0300
|
42.5970
|
|
2
(INVALID)
|
Ferrari 296 GT3 |
01:39.5700 |
29.8420
|
24.7650
|
44.9620
|
|
3
(INVALID)
|
Ferrari 296 GT3 |
01:32.1950 |
30.1970
|
22.9950
|
39.0020
|
|
4
(INVALID)
|
Ferrari 296 GT3 |
01:37.4800 |
30.1550
|
24.6570
|
42.6670
|
|
5
(INVALID)
|
Ferrari 296 GT3 |
01:37.6600 |
35.9920
|
23.8000
|
37.8670
|
| Average |
|
01:38.2835 |
32.4151 |
24.4494 |
41.4190 |
| Best possible |
|
01:30.7040 |
29.8420 |
22.9950 |
37.8670 |
Bennett Giese
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Mercedes AMG GT3 2020 |
01:36.5235 |
35.8915
|
23.0450
|
37.5870
|
|
2
(INVALID)
|
Mercedes AMG GT3 2020 |
01:30.9050 |
28.9950
|
23.4550
|
38.4550
|
|
3
|
Mercedes AMG GT3 2020 |
01:29.7300 |
29.2900
|
23.0670
|
37.3720
|
|
4
(INVALID)
|
Mercedes AMG GT3 2020 |
01:29.2200 |
29.0750
|
22.9850
|
37.1600
|
|
5
(INVALID)
|
Mercedes AMG GT3 2020 |
01:47.2120 |
38.2720
|
23.7750
|
45.1650
|
| Average |
|
01:34.7179 |
32.3047 |
23.2654 |
39.1478 |
| Best possible |
|
01:29.1400 |
28.9950 |
22.9850 |
37.1600 |
Caden Sho
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
McLaren 720S GT3 Evo 2023 |
01:38.7225 |
35.8955
|
23.5100
|
39.3170
|
|
2
|
McLaren 720S GT3 Evo 2023 |
01:28.5770 |
29.0450
|
23.1050
|
36.4270
|
|
3
(INVALID)
|
McLaren 720S GT3 Evo 2023 |
01:35.9070 |
35.0820
|
23.2900
|
37.5350
|
|
4
(INVALID)
|
McLaren 720S GT3 Evo 2023 |
01:35.3000 |
29.5920
|
27.6500
|
38.0570
|
|
5
(INVALID)
|
McLaren 720S GT3 Evo 2023 |
01:36.9000 |
29.4320
|
22.7250
|
44.7420
|
| Average |
|
01:35.0809 |
31.8093 |
24.0560 |
39.2156 |
| Best possible |
|
01:28.1970 |
29.0450 |
22.7250 |
36.4270 |
Eagle Flies
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Porsche 991 II GT3 R 2019 |
01:52.2705 |
35.9055
|
28.8100
|
47.5550
|
|
2
(INVALID)
|
Porsche 991 II GT3 R 2019 |
01:48.9750 |
35.6200
|
30.1200
|
43.2350
|
|
3
(INVALID)
|
Porsche 991 II GT3 R 2019 |
03:58.6270 |
33.6250
|
25.9370
|
179.0650
|
| Average |
|
02:33.2909 |
35.0502 |
28.2890 |
89.9517 |
| Best possible |
|
01:42.7970 |
33.6250 |
25.9370 |
43.2350 |
robert barabas
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Bennett Giese
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Mike Har
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Luís Martins
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
ramas RAMAS
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Павел наверное
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
SCAR SCAR
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Felix Schumacher
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Ikhsan Arifianto
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
BEHA v
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Audi R8 GT3 2015 |
01:50.5545 |
35.9145
|
24.8150
|
49.8250
|
|
2
(INVALID)
|
Audi R8 GT3 2015 |
01:43.6200 |
36.7620
|
25.9000
|
40.9570
|
|
3
(INVALID)
|
Audi R8 GT3 2015 |
01:39.8750 |
31.4500
|
24.4020
|
44.0220
|
| Average |
|
01:44.6825 |
34.7088 |
25.0390 |
44.9347 |
| Best possible |
|
01:36.8090 |
31.4500 |
24.4020 |
40.9570 |
Race best laps
| Overall top (20) |
| Driver |
Vehicle |
Time |
Gap |
|
Merino Wu
|
Honda NSX Evo 2019 (GT3) |
01:23.8870 |
|
|
Merino Wu
|
Honda NSX Evo 2019 (GT3) |
01:23.9800 |
0.093 |
|
Merino Wu
|
Honda NSX Evo 2019 (GT3) |
01:24.0070 |
0.12 |
|
Merino Wu
|
Honda NSX Evo 2019 (GT3) |
01:24.2650 |
0.378 |
|
Merino Wu
|
Honda NSX Evo 2019 (GT3) |
01:24.3800 |
0.493 |
|
Merino Wu
|
Honda NSX Evo 2019 (GT3) |
01:24.8700 |
0.983 |
|
Gabriel .
|
McLaren 720S GT3 Evo 2023 |
01:28.1970 |
4.31 |
|
Gabriel .
|
McLaren 720S GT3 Evo 2023 |
01:28.3100 |
4.423 |
|
Gabriel .
|
McLaren 720S GT3 Evo 2023 |
01:28.5770 |
4.69 |
|
Caden Sho
|
McLaren 720S GT3 Evo 2023 |
01:28.5770 |
4.69 |
|
Gabriel .
|
McLaren 720S GT3 Evo 2023 |
01:28.7450 |
4.858 |
|
Gabriel .
|
McLaren 720S GT3 Evo 2023 |
01:28.7820 |
4.895 |
|
Bennett Giese
|
Mercedes AMG GT3 2020 |
01:29.2200 |
5.333 |
|
Gabriel .
|
McLaren 720S GT3 Evo 2023 |
01:29.3620 |
5.475 |
|
Bennett Giese
|
Mercedes AMG GT3 2020 |
01:29.7300 |
5.843 |
|
Gabriel .
|
McLaren 720S GT3 Evo 2023 |
01:30.1600 |
6.273 |
|
Merino Wu
|
Honda NSX Evo 2019 (GT3) |
01:30.2820 |
6.395 |
|
Merino Wu
|
Honda NSX Evo 2019 (GT3) |
01:30.3800 |
6.493 |
|
Gabriel .
|
McLaren 720S GT3 Evo 2023 |
01:30.6400 |
6.753 |
|
Bennett Giese
|
Mercedes AMG GT3 2020 |
01:30.9050 |
7.018 |
| Per driver |
| Driver |
Vehicle |
Time |
Gap |
|
Merino Wu
|
Honda NSX Evo 2019 (GT3) |
01:23.8870 |
|
|
Gabriel .
|
McLaren 720S GT3 Evo 2023 |
01:28.1970 |
4.31 |
|
Caden Sho
|
McLaren 720S GT3 Evo 2023 |
01:28.5770 |
4.69 |
|
Bennett Giese
|
Mercedes AMG GT3 2020 |
01:29.7300 |
5.843 |
|
Taha Yusuf Karaca
|
Mercedes AMG GT3 |
01:34.5600 |
10.673 |
|
Yunus Emre Çalışkan
|
BMW M4 GT3 |
01:35.7050 |
11.818 |
|
antonio atzeni
|
Ferrari 296 GT3 |
01:35.9850 |
12.098 |
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 |
|
Gabriel .
|
McLaren 720S GT3 Evo 2023 |
99.61% <> 0.347 |
|
Taha Yusuf Karaca
|
Mercedes AMG GT3 |
99.20% <> 0.759 |
|
Merino Wu
|
Honda NSX Evo 2019 (GT3) |
97.45% <> 2.1364 |
|
Yunus Emre Çalışkan
|
BMW M4 GT3 |
- |
|
antonio atzeni
|
Ferrari 296 GT3 |
- |
|
Josh Lim
|
Ferrari 296 GT3 |
- |
|
Bennett Giese
|
Mercedes AMG GT3 2020 |
- |
|
Caden Sho
|
McLaren 720S GT3 Evo 2023 |
- |
|
Eagle Flies
|
Porsche 991 II GT3 R 2019 |
- |
|
robert barabas
|
Porsche 991 II GT3 R 2019 |
- |
|
Bennett Giese
|
Ferrari 296 GT3 |
- |
|
Mike Har
|
Ferrari 488 GT3 |
- |
|
Luís Martins
|
McLaren 720S GT3 Evo 2023 |
- |
|
ramas RAMAS
|
Ford Mustang GT3 |
- |
|
Павел наверное
|
McLaren 720S GT3 Evo 2023 |
- |
|
SCAR SCAR
|
BMW M4 GT3 |
- |
|
Felix Schumacher
|
Mercedes AMG GT3 2020 |
- |
|
Ikhsan Arifianto
|
McLaren 720S GT3 Evo 2023 |
- |
|
BEHA v
|
Audi R8 GT3 2015 |
- |
Race sectors
| Sector 1 |
| Driver |
Time |
Gap |
|
Merino Wu
|
26.9720 |
- |
|
Gabriel .
|
28.5220 |
1.5500 |
|
Bennett Giese
|
28.9950 |
2.0230 |
|
Caden Sho
|
29.0450 |
2.0730 |
|
Josh Lim
|
29.8420 |
2.8700 |
|
antonio atzeni
|
30.5220 |
3.5500 |
|
Taha Yusuf Karaca
|
30.5320 |
3.5600 |
|
Yunus Emre Çalışkan
|
30.6800 |
3.7080 |
|
BEHA v
|
31.4500 |
4.4780 |
|
Eagle Flies
|
33.6250 |
6.6530 |
| Sector 2 |
| Driver |
Time |
Gap |
|
Merino Wu
|
21.7250 |
- |
|
Gabriel .
|
22.6250 |
0.9000 |
|
Caden Sho
|
22.7250 |
1.0000 |
|
Bennett Giese
|
22.9850 |
1.2600 |
|
Josh Lim
|
22.9950 |
1.2700 |
|
Taha Yusuf Karaca
|
23.7920 |
2.0670 |
|
antonio atzeni
|
24.0520 |
2.3270 |
|
BEHA v
|
24.4020 |
2.6770 |
|
Yunus Emre Çalışkan
|
24.5350 |
2.8100 |
|
Eagle Flies
|
25.9370 |
4.2120 |
| Sector 3 |
| Driver |
Time |
Gap |
|
Merino Wu
|
34.9850 |
- |
|
Caden Sho
|
36.4270 |
1.4420 |
|
Gabriel .
|
36.6750 |
1.6900 |
|
Bennett Giese
|
37.1600 |
2.1750 |
|
Josh Lim
|
37.8670 |
2.8820 |
|
antonio atzeni
|
38.2700 |
3.2850 |
|
Taha Yusuf Karaca
|
39.4170 |
4.4320 |
|
Yunus Emre Çalışkan
|
39.6920 |
4.7070 |
|
BEHA v
|
40.9570 |
5.9720 |
|
Eagle Flies
|
43.2350 |
8.2500 |
Race penalties
| Date |
Penalty |
|
BEHA v - None - DriveThrough - violation in lap 2 - cleared in lap 2 |
|
BEHA v - None - Disqualified - violation in lap 2 - cleared in lap 0 |
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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