Race result
Game |
Assetto Corsa Competizione |
Session |
Race |
Track |
monza |
Winner |
Daniel K
|
Led most laps |
andy s |
Best lap |
kuok j (01:48.7920) |
Lasted laps |
11 |
Host |
ACC Sim Macau |
Other settings |
isWetSession = 0
|
Pos |
No |
Driver |
Vehicle |
Laps |
Time/Retired |
Best lap |
Consistency |
Led |
1 |
33 |
Daniel K |
Honda NSX Evo 2019 (GT3) |
11 |
20:19.8360
|
01:48.8720 |
99.39% |
1 |
2 |
11 |
EDUARDO L |
Honda NSX Evo 2019 (GT3) |
11 |
+00:06.2750
|
01:49.6320 |
99.56% |
0 |
3 |
1 |
andy s |
BMW M4 GT3 |
11 |
+00:09.8040
|
01:49.2750 |
99.51% |
7 |
4 |
25 |
Frank C |
Audi R8 LMS Evo2 2022 (GT3) |
11 |
+00:10.1390
|
01:49.7070 |
98.93% |
0 |
5 |
86 |
kuok j |
Honda NSX Evo 2019 (GT3) |
11 |
+00:10.5150
|
01:48.7920 |
98.96% |
3 |
6 |
66 |
lemon l |
Audi R8 LMS Evo2 2022 (GT3) |
10 |
+1 lap
|
01:49.2200 |
99.35% |
0 |
7 |
927 |
Matt T |
Audi R8 LMS Evo2 2022 (GT3) |
0 |
DNF
|
- |
- |
0 |
8 |
3 |
Wong K |
Audi R8 LMS Evo2 2022 (GT3) |
0 |
DNF
|
- |
- |
0 |
9 |
52 |
Wai L |
Ferrari 488 GT3 |
6 |
+5 laps
|
01:53.9250 |
- |
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
Daniel K
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
1
|
Honda NSX Evo 2019 (GT3) |
01:59.3017 |
43.2477
|
39.3470
|
36.7070
|
2
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
01:51.5400 |
35.5750
|
39.4850
|
36.4800
|
3
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
01:54.3200 |
39.9650
|
38.8020
|
35.5520
|
4
|
Honda NSX Evo 2019 (GT3) |
01:49.2670 |
35.4870
|
38.3150
|
35.4650
|
5
|
Honda NSX Evo 2019 (GT3) |
01:49.8700 |
35.5720
|
38.8220
|
35.4750
|
6
|
Honda NSX Evo 2019 (GT3) |
01:49.2420 |
35.4820
|
38.4200
|
35.3400
|
7
|
Honda NSX Evo 2019 (GT3) |
01:50.6200 |
35.5200
|
39.7620
|
35.3370
|
8
|
Honda NSX Evo 2019 (GT3) |
01:49.2520 |
35.1850
|
38.3200
|
35.7470
|
9
|
Honda NSX Evo 2019 (GT3) |
01:49.1450 |
35.1920
|
38.2420
|
35.7100
|
10
|
Honda NSX Evo 2019 (GT3) |
01:48.8720 |
35.4100
|
38.1020
|
35.3600
|
11
|
Honda NSX Evo 2019 (GT3) |
01:49.3250 |
35.1150
|
38.6750
|
35.5350
|
Average |
|
01:50.9773 |
36.5228 |
38.7538 |
35.7007 |
Best possible |
|
01:48.5540 |
35.1150 |
38.1020 |
35.3370 |
EDUARDO L
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
1
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
02:00.1347 |
43.2497
|
38.6650
|
38.2200
|
2
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
01:52.0350 |
35.8470
|
39.8870
|
36.3000
|
3
|
Honda NSX Evo 2019 (GT3) |
01:50.1620 |
35.9900
|
38.4800
|
35.6920
|
4
|
Honda NSX Evo 2019 (GT3) |
01:49.6670 |
35.3020
|
38.5070
|
35.8570
|
5
|
Honda NSX Evo 2019 (GT3) |
01:49.6320 |
35.5870
|
38.4400
|
35.6050
|
6
|
Honda NSX Evo 2019 (GT3) |
01:49.9550 |
35.7770
|
38.2450
|
35.9320
|
7
|
Honda NSX Evo 2019 (GT3) |
01:49.7320 |
35.6000
|
38.3450
|
35.7870
|
8
|
Honda NSX Evo 2019 (GT3) |
01:50.7570 |
35.6020
|
39.0850
|
36.0700
|
9
|
Honda NSX Evo 2019 (GT3) |
01:49.6520 |
35.3250
|
38.5920
|
35.7350
|
10
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
01:56.1750 |
42.0700
|
38.4370
|
35.6670
|
11
|
Honda NSX Evo 2019 (GT3) |
01:50.9100 |
35.8320
|
39.1820
|
35.8950
|
Average |
|
01:51.7097 |
36.9256 |
38.7150 |
36.0691 |
Best possible |
|
01:49.1520 |
35.3020 |
38.2450 |
35.6050 |
andy s
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
1
|
BMW M4 GT3 |
01:59.0607 |
43.2507
|
38.4100
|
37.4000
|
2
(INVALID)
|
BMW M4 GT3 |
01:49.7420 |
35.6200
|
38.6170
|
35.5050
|
3
|
BMW M4 GT3 |
01:49.4050 |
35.4600
|
38.2620
|
35.6820
|
4
|
BMW M4 GT3 |
01:49.6800 |
35.7100
|
38.4300
|
35.5400
|
5
(INVALID)
|
BMW M4 GT3 |
01:49.3320 |
35.3770
|
38.2900
|
35.6650
|
6
(INVALID)
|
BMW M4 GT3 |
01:49.7000 |
35.6900
|
38.1470
|
35.8620
|
7
(INVALID)
|
BMW M4 GT3 |
01:50.6470 |
35.6450
|
39.6950
|
35.3070
|
8
|
BMW M4 GT3 |
01:49.2750 |
35.5400
|
38.2700
|
35.4650
|
9
|
BMW M4 GT3 |
01:50.3400 |
35.8500
|
38.9550
|
35.5350
|
10
(INVALID)
|
BMW M4 GT3 |
01:50.0920 |
35.6650
|
38.6220
|
35.8050
|
11
(INVALID)
|
BMW M4 GT3 |
02:04.2500 |
36.2050
|
51.7970
|
36.2470
|
Average |
|
01:51.9565 |
36.3648 |
39.7723 |
35.8194 |
Best possible |
|
01:48.8310 |
35.3770 |
38.1470 |
35.3070 |
Frank C
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
1
|
Audi R8 LMS Evo2 2022 (GT3) |
01:59.5147 |
43.2557
|
38.8470
|
37.4120
|
2
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:52.5500 |
36.8050
|
39.9150
|
35.8300
|
3
|
Audi R8 LMS Evo2 2022 (GT3) |
01:50.6900 |
35.9250
|
38.5720
|
36.1920
|
4
|
Audi R8 LMS Evo2 2022 (GT3) |
01:51.6070 |
36.2420
|
38.6570
|
36.7070
|
5
|
Audi R8 LMS Evo2 2022 (GT3) |
01:51.6600 |
36.3700
|
39.6450
|
35.6450
|
6
|
Audi R8 LMS Evo2 2022 (GT3) |
01:49.9200 |
35.4070
|
38.6920
|
35.8200
|
7
|
Audi R8 LMS Evo2 2022 (GT3) |
01:49.7070 |
35.4300
|
38.7120
|
35.5650
|
8
|
Audi R8 LMS Evo2 2022 (GT3) |
01:52.5070 |
37.4470
|
39.2620
|
35.7970
|
9
|
Audi R8 LMS Evo2 2022 (GT3) |
01:49.7070 |
35.5800
|
38.2970
|
35.8300
|
10
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:53.1150 |
37.9700
|
39.4750
|
35.6700
|
11
|
Audi R8 LMS Evo2 2022 (GT3) |
01:50.0770 |
35.5250
|
38.7850
|
35.7670
|
Average |
|
01:51.9138 |
36.9052 |
38.9872 |
36.0214 |
Best possible |
|
01:49.2690 |
35.4070 |
38.2970 |
35.5650 |
kuok j
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
1
|
Honda NSX Evo 2019 (GT3) |
01:59.5707 |
43.2587
|
39.2450
|
37.0670
|
2
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
01:51.0670 |
35.8000
|
39.5450
|
35.7220
|
3
|
Honda NSX Evo 2019 (GT3) |
01:49.0770 |
35.3070
|
38.1320
|
35.6370
|
4
|
Honda NSX Evo 2019 (GT3) |
01:48.7920 |
35.3500
|
38.1350
|
35.3070
|
5
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
01:48.9970 |
35.3270
|
37.8820
|
35.7870
|
6
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
01:49.3250 |
35.8950
|
38.1970
|
35.2320
|
7
|
Honda NSX Evo 2019 (GT3) |
01:50.3050 |
35.3950
|
39.6300
|
35.2800
|
8
|
Honda NSX Evo 2019 (GT3) |
01:49.5020 |
35.3950
|
38.5300
|
35.5770
|
9
|
Honda NSX Evo 2019 (GT3) |
01:50.7900 |
35.8450
|
39.4200
|
35.5250
|
10
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
01:49.9270 |
35.5850
|
38.5770
|
35.7650
|
11
(INVALID)
|
Honda NSX Evo 2019 (GT3) |
02:04.8670 |
35.9950
|
51.2420
|
37.6300
|
Average |
|
01:52.0197 |
36.2866 |
39.8668 |
35.8663 |
Best possible |
|
01:48.4210 |
35.3070 |
37.8820 |
35.2320 |
lemon l
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
1
|
Audi R8 LMS Evo2 2022 (GT3) |
02:01.6217 |
43.2647
|
38.8900
|
39.4670
|
2
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:52.4850 |
36.6250
|
39.9720
|
35.8870
|
3
|
Audi R8 LMS Evo2 2022 (GT3) |
01:50.2200 |
36.1370
|
38.4450
|
35.6370
|
4
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:50.4670 |
36.0870
|
38.3750
|
36.0050
|
5
|
Audi R8 LMS Evo2 2022 (GT3) |
01:49.7770 |
35.6750
|
38.5300
|
35.5720
|
6
|
Audi R8 LMS Evo2 2022 (GT3) |
01:49.8050 |
35.5520
|
38.6500
|
35.6020
|
7
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:52.7300 |
36.4920
|
40.6120
|
35.6250
|
8
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:53.9570 |
38.8100
|
39.3500
|
35.7970
|
9
|
Audi R8 LMS Evo2 2022 (GT3) |
01:49.2200 |
35.3620
|
38.2850
|
35.5720
|
10
|
Audi R8 LMS Evo2 2022 (GT3) |
01:49.9370 |
35.5520
|
38.5950
|
35.7900
|
Average |
|
01:52.0215 |
36.9557 |
38.9704 |
36.0954 |
Best possible |
|
01:49.2190 |
35.3620 |
38.2850 |
35.5720 |
Matt T
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
No laps for this driver |
Wong K
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
No laps for this driver |
Wai L
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
1
(INVALID)
|
Ferrari 488 GT3 |
02:04.2687 |
43.2717
|
39.9020
|
41.0950
|
2
|
Ferrari 488 GT3 |
01:53.9250 |
36.5900
|
39.9050
|
37.4300
|
3
(INVALID)
|
Ferrari 488 GT3 |
02:22.6750 |
50.3620
|
43.9520
|
48.3600
|
4
(INVALID)
|
Ferrari 488 GT3 |
04:03.8600 |
160.7000
|
45.5320
|
37.6270
|
5
(INVALID)
|
Ferrari 488 GT3 |
01:58.1050 |
40.6550
|
40.0420
|
37.4070
|
6
(INVALID)
|
Ferrari 488 GT3 |
01:54.6370 |
36.2050
|
40.5500
|
37.8820
|
Average |
|
02:22.9113 |
61.2973 |
41.6472 |
39.9668 |
Best possible |
|
01:53.5140 |
36.2050 |
39.9020 |
37.4070 |
Race best laps
Overall top (20) |
Driver |
Vehicle |
Time |
Gap |
kuok j
|
Honda NSX Evo 2019 (GT3) |
01:48.7920 |
|
Daniel K
|
Honda NSX Evo 2019 (GT3) |
01:48.8720 |
0.08 |
kuok j
|
Honda NSX Evo 2019 (GT3) |
01:48.9970 |
0.205 |
kuok j
|
Honda NSX Evo 2019 (GT3) |
01:49.0770 |
0.285 |
Daniel K
|
Honda NSX Evo 2019 (GT3) |
01:49.1450 |
0.353 |
lemon l
|
Audi R8 LMS Evo2 2022 (GT3) |
01:49.2200 |
0.428 |
Daniel K
|
Honda NSX Evo 2019 (GT3) |
01:49.2420 |
0.45 |
Daniel K
|
Honda NSX Evo 2019 (GT3) |
01:49.2520 |
0.46 |
Daniel K
|
Honda NSX Evo 2019 (GT3) |
01:49.2670 |
0.475 |
andy s
|
BMW M4 GT3 |
01:49.2750 |
0.483 |
Daniel K
|
Honda NSX Evo 2019 (GT3) |
01:49.3250 |
0.533 |
kuok j
|
Honda NSX Evo 2019 (GT3) |
01:49.3250 |
0.533 |
andy s
|
BMW M4 GT3 |
01:49.3320 |
0.54 |
andy s
|
BMW M4 GT3 |
01:49.4050 |
0.613 |
kuok j
|
Honda NSX Evo 2019 (GT3) |
01:49.5020 |
0.71 |
EDUARDO L
|
Honda NSX Evo 2019 (GT3) |
01:49.6320 |
0.84 |
EDUARDO L
|
Honda NSX Evo 2019 (GT3) |
01:49.6520 |
0.86 |
EDUARDO L
|
Honda NSX Evo 2019 (GT3) |
01:49.6670 |
0.875 |
andy s
|
BMW M4 GT3 |
01:49.6800 |
0.888 |
andy s
|
BMW M4 GT3 |
01:49.7000 |
0.908 |
Per driver |
Driver |
Vehicle |
Time |
Gap |
kuok j
|
Honda NSX Evo 2019 (GT3) |
01:48.7920 |
|
Daniel K
|
Honda NSX Evo 2019 (GT3) |
01:48.8720 |
0.08 |
lemon l
|
Audi R8 LMS Evo2 2022 (GT3) |
01:49.2200 |
0.428 |
andy s
|
BMW M4 GT3 |
01:49.2750 |
0.483 |
EDUARDO L
|
Honda NSX Evo 2019 (GT3) |
01:49.6320 |
0.84 |
Frank C
|
Audi R8 LMS Evo2 2022 (GT3) |
01:49.7070 |
0.915 |
Wai L
|
Ferrari 488 GT3 |
01:53.9250 |
5.133 |
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 |
EDUARDO L
|
Honda NSX Evo 2019 (GT3) |
99.56% <> 0.4873 |
andy s
|
BMW M4 GT3 |
99.51% <> 0.5333 |
Daniel K
|
Honda NSX Evo 2019 (GT3) |
99.39% <> 0.6596 |
lemon l
|
Audi R8 LMS Evo2 2022 (GT3) |
99.35% <> 0.7148 |
kuok j
|
Honda NSX Evo 2019 (GT3) |
98.96% <> 1.1265 |
Frank C
|
Audi R8 LMS Evo2 2022 (GT3) |
98.93% <> 1.1741 |
Matt T
|
Audi R8 LMS Evo2 2022 (GT3) |
- |
Wong K
|
Audi R8 LMS Evo2 2022 (GT3) |
- |
Wai L
|
Ferrari 488 GT3 |
- |
Race sectors
Sector 1 |
Driver |
Time |
Gap |
Daniel K
|
35.1150 |
- |
EDUARDO L
|
35.3020 |
0.1870 |
kuok j
|
35.3070 |
0.1920 |
lemon l
|
35.3620 |
0.2470 |
andy s
|
35.3770 |
0.2620 |
Frank C
|
35.4070 |
0.2920 |
Wai L
|
36.2050 |
1.0900 |
Sector 2 |
Driver |
Time |
Gap |
kuok j
|
37.8820 |
- |
Daniel K
|
38.1020 |
0.2200 |
andy s
|
38.1470 |
0.2650 |
EDUARDO L
|
38.2450 |
0.3630 |
lemon l
|
38.2850 |
0.4030 |
Frank C
|
38.2970 |
0.4150 |
Wai L
|
39.9020 |
2.0200 |
Sector 3 |
Driver |
Time |
Gap |
kuok j
|
35.2320 |
- |
andy s
|
35.3070 |
0.0750 |
Daniel K
|
35.3370 |
0.1050 |
Frank C
|
35.5650 |
0.3330 |
lemon l
|
35.5720 |
0.3400 |
EDUARDO L
|
35.6050 |
0.3730 |
Wai L
|
37.4070 |
2.1750 |
Race penalties
Date |
Penalty |
|
Wai L - PitSpeeding - StopAndGo_30 - violation in lap 3 - cleared in lap 5 |
|
Wai L - PitSpeeding - Disqualified - violation in lap 5 - 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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