Race result
| Game |
Assetto Corsa Competizione |
| Session |
Race |
| Track |
suzuka |
| Winner |
Dark V
|
| Led most laps |
Dark V |
| Best lap |
simo r (02:04.8520) |
| Lasted laps |
10 |
| Host |
DarkAngelOnline |
| Other settings |
isWetSession = 0
|
| Pos |
No |
Driver |
Vehicle |
Laps |
Time/Retired |
Best lap |
Consistency |
Led |
| 1 |
11 |
Dark V |
Audi R8 LMS Evo2 2022 (GT3) |
10 |
21:30.6430
|
02:07.1900 |
98.69% |
10 |
| 2 |
18 |
Matteo L |
BMW M4 GT3 |
10 |
+00:09.6310
|
02:07.0050 |
99.34% |
0 |
| 3 |
23 |
Zelot D |
Nissan GT-R Nismo GT3 2018 |
10 |
+00:21.7010
|
02:08.2150 |
- |
0 |
| 4 |
47 |
simo r |
BMW M4 GT3 |
3 |
+7 laps
|
02:04.8520 |
- |
0 |
| 5 |
46 |
CRISTIAN F |
BMW M4 GT3 |
3 |
+7 laps
|
02:07.4570 |
- |
0 |
| 6 |
35 |
NICOLA C |
BMW M4 GT3 |
3 |
+7 laps
|
02:13.2120 |
- |
0 |
| 7 |
1 |
WeeD M |
Lamborghini Huracan Evo2 (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
Dark V
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
02:13.5845 |
48.8405
|
56.5320
|
28.2120
|
|
2
|
Audi R8 LMS Evo2 2022 (GT3) |
02:07.5070 |
42.7250
|
56.5820
|
28.2000
|
|
3
|
Audi R8 LMS Evo2 2022 (GT3) |
02:07.1900 |
42.3750
|
56.3520
|
28.4620
|
|
4
|
Audi R8 LMS Evo2 2022 (GT3) |
02:08.1800 |
43.6470
|
55.9120
|
28.6200
|
|
5
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
02:08.3070 |
42.9000
|
56.6150
|
28.7920
|
|
6
|
Audi R8 LMS Evo2 2022 (GT3) |
02:09.6370 |
43.6870
|
57.0500
|
28.9000
|
|
7
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
02:09.9250 |
43.7570
|
57.4220
|
28.7450
|
|
8
|
Audi R8 LMS Evo2 2022 (GT3) |
02:10.1200 |
43.6120
|
56.9950
|
29.5120
|
|
9
|
Audi R8 LMS Evo2 2022 (GT3) |
02:08.7520 |
43.1270
|
56.6170
|
29.0070
|
|
10
|
Audi R8 LMS Evo2 2022 (GT3) |
02:08.9650 |
43.3800
|
57.2650
|
28.3200
|
| Average |
|
02:09.2163 |
43.8051 |
56.7342 |
28.6770 |
| Best possible |
|
02:06.4870 |
42.3750 |
55.9120 |
28.2000 |
Matteo L
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
BMW M4 GT3 |
02:15.3085 |
48.8435
|
58.2900
|
28.1750
|
|
2
(INVALID)
|
BMW M4 GT3 |
02:07.4100 |
43.3200
|
56.0600
|
28.0300
|
|
3
|
BMW M4 GT3 |
02:08.2170 |
43.9620
|
56.2100
|
28.0450
|
|
4
|
BMW M4 GT3 |
02:07.8850 |
43.1150
|
56.0320
|
28.7370
|
|
5
|
BMW M4 GT3 |
02:07.6850 |
43.0470
|
56.3700
|
28.2670
|
|
6
(INVALID)
|
BMW M4 GT3 |
02:10.2900 |
44.6750
|
57.7950
|
27.8200
|
|
7
|
BMW M4 GT3 |
02:07.0050 |
43.3020
|
55.9070
|
27.7950
|
|
8
(INVALID)
|
BMW M4 GT3 |
02:18.0920 |
43.1600
|
66.4650
|
28.4670
|
|
9
|
BMW M4 GT3 |
02:07.5700 |
42.7420
|
56.8220
|
28.0050
|
|
10
(INVALID)
|
BMW M4 GT3 |
02:10.3370 |
44.7020
|
56.4820
|
29.1520
|
| Average |
|
02:09.9795 |
44.0869 |
57.6433 |
28.2493 |
| Best possible |
|
02:06.4440 |
42.7420 |
55.9070 |
27.7950 |
Zelot D
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
02:14.0325 |
48.8455
|
56.4950
|
28.6920
|
|
2
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
02:07.0120 |
43.3670
|
55.7900
|
27.8550
|
|
3
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
02:16.0170 |
51.3970
|
56.7750
|
27.8450
|
|
4
|
Nissan GT-R Nismo GT3 2018 |
02:08.2150 |
43.6520
|
55.9420
|
28.6200
|
|
5
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
02:09.5900 |
44.1300
|
57.2320
|
28.2270
|
|
6
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
02:09.8570 |
43.3320
|
58.2650
|
28.2600
|
|
7
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
02:13.3950 |
45.0650
|
60.1100
|
28.2200
|
|
8
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
02:13.7500 |
47.7000
|
57.2350
|
28.8150
|
|
9
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
02:10.2750 |
43.9300
|
57.2100
|
29.1350
|
|
10
(INVALID)
|
Nissan GT-R Nismo GT3 2018 |
02:10.0520 |
43.3700
|
57.4650
|
29.2170
|
| Average |
|
02:11.2194 |
45.4789 |
57.2519 |
28.4886 |
| Best possible |
|
02:06.9670 |
43.3320 |
55.7900 |
27.8450 |
simo r
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
BMW M4 GT3 |
02:13.5745 |
48.8495
|
56.4200
|
28.3050
|
|
2
|
BMW M4 GT3 |
02:05.6270 |
42.4200
|
55.6850
|
27.5220
|
|
3
|
BMW M4 GT3 |
02:04.8520 |
42.1920
|
55.2800
|
27.3800
|
| Average |
|
02:08.0179 |
44.4872 |
55.7950 |
27.7357 |
| Best possible |
|
02:04.8520 |
42.1920 |
55.2800 |
27.3800 |
CRISTIAN F
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
BMW M4 GT3 |
02:15.2285 |
48.8545
|
57.4420
|
28.9320
|
|
2
|
BMW M4 GT3 |
02:07.4570 |
42.3570
|
56.0770
|
29.0220
|
|
3
(INVALID)
|
BMW M4 GT3 |
02:05.4270 |
41.9800
|
54.8000
|
28.6470
|
| Average |
|
02:09.3705 |
44.3972 |
56.1063 |
28.8670 |
| Best possible |
|
02:05.4270 |
41.9800 |
54.8000 |
28.6470 |
NICOLA C
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
BMW M4 GT3 |
02:19.0825 |
48.8605
|
60.1350
|
30.0870
|
|
2
(INVALID)
|
BMW M4 GT3 |
02:15.1220 |
45.2170
|
59.0920
|
30.8120
|
|
3
|
BMW M4 GT3 |
02:13.2120 |
45.3600
|
58.3520
|
29.5000
|
| Average |
|
02:15.8052 |
46.4792 |
59.1930 |
30.1330 |
| Best possible |
|
02:13.0690 |
45.2170 |
58.3520 |
29.5000 |
WeeD M
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Race best laps
| Overall top (20) |
| Driver |
Vehicle |
Time |
Gap |
|
simo r
|
BMW M4 GT3 |
02:04.8520 |
|
|
CRISTIAN F
|
BMW M4 GT3 |
02:05.4270 |
0.575 |
|
simo r
|
BMW M4 GT3 |
02:05.6270 |
0.775 |
|
Matteo L
|
BMW M4 GT3 |
02:07.0050 |
2.153 |
|
Zelot D
|
Nissan GT-R Nismo GT3 2018 |
02:07.0120 |
2.16 |
|
Dark V
|
Audi R8 LMS Evo2 2022 (GT3) |
02:07.1900 |
2.338 |
|
Matteo L
|
BMW M4 GT3 |
02:07.4100 |
2.558 |
|
CRISTIAN F
|
BMW M4 GT3 |
02:07.4570 |
2.605 |
|
Dark V
|
Audi R8 LMS Evo2 2022 (GT3) |
02:07.5070 |
2.655 |
|
Matteo L
|
BMW M4 GT3 |
02:07.5700 |
2.718 |
|
Matteo L
|
BMW M4 GT3 |
02:07.6850 |
2.833 |
|
Matteo L
|
BMW M4 GT3 |
02:07.8850 |
3.033 |
|
Dark V
|
Audi R8 LMS Evo2 2022 (GT3) |
02:08.1800 |
3.328 |
|
Zelot D
|
Nissan GT-R Nismo GT3 2018 |
02:08.2150 |
3.363 |
|
Matteo L
|
BMW M4 GT3 |
02:08.2170 |
3.365 |
|
Dark V
|
Audi R8 LMS Evo2 2022 (GT3) |
02:08.3070 |
3.455 |
|
Dark V
|
Audi R8 LMS Evo2 2022 (GT3) |
02:08.7520 |
3.9 |
|
Dark V
|
Audi R8 LMS Evo2 2022 (GT3) |
02:08.9650 |
4.113 |
|
Zelot D
|
Nissan GT-R Nismo GT3 2018 |
02:09.5900 |
4.738 |
|
Dark V
|
Audi R8 LMS Evo2 2022 (GT3) |
02:09.6370 |
4.785 |
| Per driver |
| Driver |
Vehicle |
Time |
Gap |
|
simo r
|
BMW M4 GT3 |
02:04.8520 |
|
|
Matteo L
|
BMW M4 GT3 |
02:07.0050 |
2.153 |
|
Dark V
|
Audi R8 LMS Evo2 2022 (GT3) |
02:07.1900 |
2.338 |
|
CRISTIAN F
|
BMW M4 GT3 |
02:07.4570 |
2.605 |
|
Zelot D
|
Nissan GT-R Nismo GT3 2018 |
02:08.2150 |
3.363 |
|
NICOLA C
|
BMW M4 GT3 |
02:13.2120 |
8.36 |
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 |
|
Matteo L
|
BMW M4 GT3 |
99.34% <> 0.8343 |
|
Dark V
|
Audi R8 LMS Evo2 2022 (GT3) |
98.69% <> 1.6702 |
|
Zelot D
|
Nissan GT-R Nismo GT3 2018 |
- |
|
simo r
|
BMW M4 GT3 |
- |
|
CRISTIAN F
|
BMW M4 GT3 |
- |
|
NICOLA C
|
BMW M4 GT3 |
- |
|
WeeD M
|
Lamborghini Huracan Evo2 (GT3) |
- |
Race sectors
| Sector 1 |
| Driver |
Time |
Gap |
|
CRISTIAN F
|
41.9800 |
- |
|
simo r
|
42.1920 |
0.2120 |
|
Dark V
|
42.3750 |
0.3950 |
|
Matteo L
|
42.7420 |
0.7620 |
|
Zelot D
|
43.3320 |
1.3520 |
|
NICOLA C
|
45.2170 |
3.2370 |
| Sector 2 |
| Driver |
Time |
Gap |
|
CRISTIAN F
|
54.8000 |
- |
|
simo r
|
55.2800 |
0.4800 |
|
Zelot D
|
55.7900 |
0.9900 |
|
Matteo L
|
55.9070 |
1.1070 |
|
Dark V
|
55.9120 |
1.1120 |
|
NICOLA C
|
58.3520 |
3.5520 |
| Sector 3 |
| Driver |
Time |
Gap |
|
simo r
|
27.3800 |
- |
|
Matteo L
|
27.7950 |
0.4150 |
|
Zelot D
|
27.8450 |
0.4650 |
|
Dark V
|
28.2000 |
0.8200 |
|
CRISTIAN F
|
28.6470 |
1.2670 |
|
NICOLA C
|
29.5000 |
2.1200 |
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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