Race result
| Game |
Assetto Corsa Competizione |
| Session |
Race |
| Track |
brands_hatch |
| Winner |
Matteo Rodella
|
| Led most laps |
Matteo Rodella |
| Best lap |
Michal Amnesia (01:25.6050) |
| 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 |
89 |
Matteo Rodella |
Ferrari 296 GT3 |
10 |
15:10.5090
|
01:25.6450 |
98.55% |
10 |
| 2 |
62 |
Gucci Flop |
Aston Martin Vantage V12 GT3 |
10 |
+00:10.2840
|
01:27.9050 |
99.30% |
0 |
| 3 |
69 |
Michal Amnesia |
Audi R8 LMS Evo2 2022 (GT3) |
10 |
+00:11.3080
|
01:25.6050 |
96.64% |
0 |
| 4 |
88 |
maka szuman |
Ferrari 296 GT3 |
10 |
+00:25.7100
|
01:27.1320 |
98.37% |
0 |
| 5 |
333 |
daniel brehme |
Ford Mustang GT3 |
4 |
+6 laps
|
01:35.4808 |
- |
0 |
| 6 |
23 |
Lukas B |
Porsche 991 II GT3 R 2019 |
1 |
+9 laps
|
- |
- |
0 |
| 7 |
94 |
Quentin Houeix Laurito |
McLaren 720S GT3 Evo 2023 |
0 |
DNF
|
- |
- |
0 |
| 8 |
35 |
John Rahm |
BMW M6 GT3 |
0 |
DNF
|
- |
- |
0 |
| 9 |
5 |
Alan LRONG |
McLaren 720S GT3 Evo 2023 |
0 |
DNF
|
- |
- |
0 |
| 10 |
37 |
Xysoryum Damage |
Ferrari 296 GT3 |
0 |
DNF
|
- |
- |
0 |
| 11 |
3 |
Vovan Prestupnik |
Audi R8 GT3 2015 |
0 |
DNF
|
- |
- |
0 |
| 12 |
28 |
Mikołaj Bednarowicz |
BMW M4 GT3 |
0 |
DNF
|
- |
- |
0 |
| 13 |
93 |
P CT |
McLaren 720S GT3 Evo 2023 |
0 |
DNF
|
- |
- |
0 |
| 14 |
720 |
Akh Riz |
McLaren 720S GT3 Evo 2023 |
0 |
DNF
|
- |
- |
0 |
| 15 |
95 |
Jason Daniels |
Aston Martin Vantage V8 2019 (GT3) |
0 |
DNF
|
- |
- |
0 |
| 16 |
98 |
打 飞机 |
Porsche 991 II GT3 R 2019 |
0 |
DNF
|
- |
- |
0 |
| 17 |
82 |
lee dohyung |
BMW M4 GT3 |
0 |
DNF
|
- |
- |
0 |
| 18 |
236 |
Александр Дёмин |
BMW M4 GT3 |
0 |
DNF
|
- |
- |
0 |
| 19 |
100 |
tinte tinte |
Porsche 991 II GT3 R 2019 |
0 |
DNF
|
- |
- |
0 |
| 20 |
92 |
carol Shelby |
Porsche 992 GT3 R |
0 |
DNF
|
- |
- |
0 |
| 21 |
24 |
Chanon Fakket |
Nissan GT-R Nismo GT3 2018 |
0 |
DNF
|
- |
- |
0 |
| 22 |
36 |
Fred Jay |
Ferrari 296 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
Matteo Rodella
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Ferrari 296 GT3 |
01:34.3288 |
34.2848
|
22.5920
|
37.4520
|
|
2
|
Ferrari 296 GT3 |
01:26.2020 |
27.9250
|
22.3120
|
35.9650
|
|
3
|
Ferrari 296 GT3 |
01:25.8750 |
27.8200
|
22.1250
|
35.9300
|
|
4
|
Ferrari 296 GT3 |
01:26.1950 |
27.3570
|
22.3920
|
36.4450
|
|
5
|
Ferrari 296 GT3 |
01:26.9900 |
27.9500
|
22.3900
|
36.6500
|
|
6
(INVALID)
|
Ferrari 296 GT3 |
01:35.9870 |
35.6850
|
24.4220
|
35.8800
|
|
7
|
Ferrari 296 GT3 |
01:25.6450 |
27.7170
|
22.2820
|
35.6450
|
|
8
(INVALID)
|
Ferrari 296 GT3 |
01:31.7650 |
29.0200
|
22.7950
|
39.9500
|
|
9
|
Ferrari 296 GT3 |
01:28.5200 |
29.6600
|
22.9100
|
35.9500
|
|
10
|
Ferrari 296 GT3 |
01:27.5220 |
27.8200
|
22.4120
|
37.2900
|
| Average |
|
01:28.9028 |
29.5239 |
22.6632 |
36.7157 |
| Best possible |
|
01:25.1270 |
27.3570 |
22.1250 |
35.6450 |
Gucci Flop
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Aston Martin Vantage V12 GT3 |
01:34.5428 |
34.2878
|
22.5800
|
37.6750
|
|
2
|
Aston Martin Vantage V12 GT3 |
01:29.4900 |
28.6170
|
23.0150
|
37.8570
|
|
3
|
Aston Martin Vantage V12 GT3 |
01:28.0620 |
28.9500
|
22.5500
|
36.5620
|
|
4
(INVALID)
|
Aston Martin Vantage V12 GT3 |
01:28.6820 |
28.8250
|
23.0470
|
36.8100
|
|
5
(INVALID)
|
Aston Martin Vantage V12 GT3 |
01:32.8020 |
30.8820
|
22.7670
|
39.1520
|
|
6
|
Aston Martin Vantage V12 GT3 |
01:28.3350 |
28.5500
|
22.8250
|
36.9600
|
|
7
|
Aston Martin Vantage V12 GT3 |
01:27.9050 |
28.3300
|
22.8150
|
36.7600
|
|
8
(INVALID)
|
Aston Martin Vantage V12 GT3 |
01:28.5700 |
29.0550
|
22.6920
|
36.8220
|
|
9
(INVALID)
|
Aston Martin Vantage V12 GT3 |
01:28.6750 |
28.8150
|
22.4520
|
37.4070
|
|
10
|
Aston Martin Vantage V12 GT3 |
01:28.1770 |
28.6670
|
22.4000
|
37.1100
|
| Average |
|
01:29.5237 |
29.4979 |
22.7143 |
37.3115 |
| Best possible |
|
01:27.2920 |
28.3300 |
22.4000 |
36.5620 |
Michal Amnesia
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:32.9748 |
34.2928
|
22.2570
|
36.4250
|
|
2
|
Audi R8 LMS Evo2 2022 (GT3) |
01:25.9270 |
27.7570
|
22.1470
|
36.0220
|
|
3
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:26.3870 |
28.0620
|
22.2370
|
36.0870
|
|
4
|
Audi R8 LMS Evo2 2022 (GT3) |
01:27.3020 |
29.2020
|
22.3600
|
35.7400
|
|
5
|
Audi R8 LMS Evo2 2022 (GT3) |
01:25.9470 |
27.6770
|
22.1670
|
36.1020
|
|
6
|
Audi R8 LMS Evo2 2022 (GT3) |
01:28.6470 |
28.3770
|
22.5550
|
37.7150
|
|
7
|
Audi R8 LMS Evo2 2022 (GT3) |
01:29.5870 |
31.3100
|
22.2920
|
35.9850
|
|
8
|
Audi R8 LMS Evo2 2022 (GT3) |
01:33.4950 |
27.9420
|
29.1870
|
36.3650
|
|
9
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:33.5100 |
28.2070
|
22.1350
|
43.1670
|
|
10
|
Audi R8 LMS Evo2 2022 (GT3) |
01:25.6050 |
27.6270
|
22.4350
|
35.5420
|
| Average |
|
01:28.9376 |
29.0454 |
22.9772 |
36.9150 |
| Best possible |
|
01:25.3040 |
27.6270 |
22.1350 |
35.5420 |
maka szuman
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Ferrari 296 GT3 |
01:35.2818 |
34.2948
|
22.9150
|
38.0720
|
|
2
|
Ferrari 296 GT3 |
01:29.0070 |
28.4420
|
22.6520
|
37.9120
|
|
3
|
Ferrari 296 GT3 |
01:27.1320 |
28.2300
|
22.5050
|
36.3970
|
|
4
(INVALID)
|
Ferrari 296 GT3 |
01:29.7450 |
27.6920
|
22.3970
|
39.6550
|
|
5
|
Ferrari 296 GT3 |
01:28.2920 |
28.5220
|
23.2020
|
36.5670
|
|
6
|
Ferrari 296 GT3 |
01:27.7500 |
28.7900
|
22.6070
|
36.3520
|
|
7
(INVALID)
|
Ferrari 296 GT3 |
01:49.1070 |
47.2500
|
25.0420
|
36.8150
|
|
8
|
Ferrari 296 GT3 |
01:28.1720 |
28.7320
|
22.6700
|
36.7700
|
|
9
|
Ferrari 296 GT3 |
01:29.5250 |
29.8420
|
22.8600
|
36.8220
|
|
10
(INVALID)
|
Ferrari 296 GT3 |
01:31.2820 |
29.2970
|
22.6320
|
39.3520
|
| Average |
|
01:31.5288 |
31.1092 |
22.9482 |
37.4714 |
| Best possible |
|
01:26.4410 |
27.6920 |
22.3970 |
36.3520 |
daniel brehme
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
|
Ford Mustang GT3 |
01:35.4808 |
34.2988
|
23.3420
|
37.8400
|
|
2
(INVALID)
|
Ford Mustang GT3 |
01:30.4620 |
29.2420
|
22.7950
|
38.4250
|
|
3
(INVALID)
|
Ford Mustang GT3 |
01:29.4620 |
29.3200
|
22.7770
|
37.3650
|
|
4
(INVALID)
|
Ford Mustang GT3 |
01:31.0220 |
28.9020
|
22.9170
|
39.2020
|
| Average |
|
01:31.6065 |
30.4407 |
22.9578 |
38.2080 |
| Best possible |
|
01:29.0440 |
28.9020 |
22.7770 |
37.3650 |
Lukas B
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Porsche 991 II GT3 R 2019 |
01:36.5218 |
34.3048
|
23.6300
|
38.5870
|
| Average |
|
01:36.5218 |
34.3048 |
23.6300 |
38.5870 |
| Best possible |
|
01:36.5218 |
34.3048 |
23.6300 |
38.5870 |
Quentin Houeix Laurito
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
John Rahm
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Alan LRONG
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Xysoryum Damage
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Vovan Prestupnik
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Mikołaj Bednarowicz
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
P CT
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Akh Riz
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Jason Daniels
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
打 飞机
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
lee dohyung
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Александр Дёмин
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
tinte tinte
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
carol Shelby
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Chanon Fakket
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Fred Jay
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Race best laps
| Overall top (20) |
| Driver |
Vehicle |
Time |
Gap |
|
Michal Amnesia
|
Audi R8 LMS Evo2 2022 (GT3) |
01:25.6050 |
|
|
Matteo Rodella
|
Ferrari 296 GT3 |
01:25.6450 |
0.04 |
|
Matteo Rodella
|
Ferrari 296 GT3 |
01:25.8750 |
0.27 |
|
Michal Amnesia
|
Audi R8 LMS Evo2 2022 (GT3) |
01:25.9270 |
0.322 |
|
Michal Amnesia
|
Audi R8 LMS Evo2 2022 (GT3) |
01:25.9470 |
0.342 |
|
Matteo Rodella
|
Ferrari 296 GT3 |
01:26.1950 |
0.59 |
|
Matteo Rodella
|
Ferrari 296 GT3 |
01:26.2020 |
0.597 |
|
Michal Amnesia
|
Audi R8 LMS Evo2 2022 (GT3) |
01:26.3870 |
0.782 |
|
Matteo Rodella
|
Ferrari 296 GT3 |
01:26.9900 |
1.385 |
|
maka szuman
|
Ferrari 296 GT3 |
01:27.1320 |
1.527 |
|
Michal Amnesia
|
Audi R8 LMS Evo2 2022 (GT3) |
01:27.3020 |
1.697 |
|
Matteo Rodella
|
Ferrari 296 GT3 |
01:27.5220 |
1.917 |
|
maka szuman
|
Ferrari 296 GT3 |
01:27.7500 |
2.145 |
|
Gucci Flop
|
Aston Martin Vantage V12 GT3 |
01:27.9050 |
2.3 |
|
Gucci Flop
|
Aston Martin Vantage V12 GT3 |
01:28.0620 |
2.457 |
|
maka szuman
|
Ferrari 296 GT3 |
01:28.1720 |
2.567 |
|
Gucci Flop
|
Aston Martin Vantage V12 GT3 |
01:28.1770 |
2.572 |
|
maka szuman
|
Ferrari 296 GT3 |
01:28.2920 |
2.687 |
|
Gucci Flop
|
Aston Martin Vantage V12 GT3 |
01:28.3350 |
2.73 |
|
Matteo Rodella
|
Ferrari 296 GT3 |
01:28.5200 |
2.915 |
| Per driver |
| Driver |
Vehicle |
Time |
Gap |
|
Michal Amnesia
|
Audi R8 LMS Evo2 2022 (GT3) |
01:25.6050 |
|
|
Matteo Rodella
|
Ferrari 296 GT3 |
01:25.6450 |
0.04 |
|
maka szuman
|
Ferrari 296 GT3 |
01:27.1320 |
1.527 |
|
Gucci Flop
|
Aston Martin Vantage V12 GT3 |
01:27.9050 |
2.3 |
|
daniel brehme
|
Ford Mustang GT3 |
01:35.4808 |
9.8758 |
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 |
|
Gucci Flop
|
Aston Martin Vantage V12 GT3 |
99.30% <> 0.611 |
|
Matteo Rodella
|
Ferrari 296 GT3 |
98.55% <> 1.239 |
|
maka szuman
|
Ferrari 296 GT3 |
98.37% <> 1.4172 |
|
Michal Amnesia
|
Audi R8 LMS Evo2 2022 (GT3) |
96.64% <> 2.8792 |
|
daniel brehme
|
Ford Mustang GT3 |
- |
|
Lukas B
|
Porsche 991 II GT3 R 2019 |
- |
|
Quentin Houeix Laurito
|
McLaren 720S GT3 Evo 2023 |
- |
|
John Rahm
|
BMW M6 GT3 |
- |
|
Alan LRONG
|
McLaren 720S GT3 Evo 2023 |
- |
|
Xysoryum Damage
|
Ferrari 296 GT3 |
- |
|
Vovan Prestupnik
|
Audi R8 GT3 2015 |
- |
|
Mikołaj Bednarowicz
|
BMW M4 GT3 |
- |
|
P CT
|
McLaren 720S GT3 Evo 2023 |
- |
|
Akh Riz
|
McLaren 720S GT3 Evo 2023 |
- |
|
Jason Daniels
|
Aston Martin Vantage V8 2019 (GT3) |
- |
|
打 飞机
|
Porsche 991 II GT3 R 2019 |
- |
|
lee dohyung
|
BMW M4 GT3 |
- |
|
Александр Дёмин
|
BMW M4 GT3 |
- |
|
tinte tinte
|
Porsche 991 II GT3 R 2019 |
- |
|
carol Shelby
|
Porsche 992 GT3 R |
- |
|
Chanon Fakket
|
Nissan GT-R Nismo GT3 2018 |
- |
|
Fred Jay
|
Ferrari 296 GT3 |
- |
Race sectors
| Sector 1 |
| Driver |
Time |
Gap |
|
Matteo Rodella
|
27.3570 |
- |
|
Michal Amnesia
|
27.6270 |
0.2700 |
|
maka szuman
|
27.6920 |
0.3350 |
|
Gucci Flop
|
28.3300 |
0.9730 |
|
daniel brehme
|
28.9020 |
1.5450 |
|
Lukas B
|
34.3048 |
6.9478 |
| Sector 2 |
| Driver |
Time |
Gap |
|
Matteo Rodella
|
22.1250 |
- |
|
Michal Amnesia
|
22.1350 |
0.0100 |
|
maka szuman
|
22.3970 |
0.2720 |
|
Gucci Flop
|
22.4000 |
0.2750 |
|
daniel brehme
|
22.7770 |
0.6520 |
|
Lukas B
|
23.6300 |
1.5050 |
| Sector 3 |
| Driver |
Time |
Gap |
|
Michal Amnesia
|
35.5420 |
- |
|
Matteo Rodella
|
35.6450 |
0.1030 |
|
maka szuman
|
36.3520 |
0.8100 |
|
Gucci Flop
|
36.5620 |
1.0200 |
|
daniel brehme
|
37.3650 |
1.8230 |
|
Lukas B
|
38.5870 |
3.0450 |
Race positions
Fullscreen
Use your mouse scroll wheel to zoom and click to drag.
Race gaps
The leader is the top baseline.
Fullscreen
Use your mouse scroll wheel to zoom and click to drag.
Race gaps v2
Average lap time of the winner is the top baseline.
Fullscreen
Use your mouse scroll wheel to zoom and click to drag.