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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