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Qualify result



Game Automobilista 2
Session Qualifying
Date 2025-06-15 15:32:23 (UTC)
Track Spa_Francorchamps_1993
Pole Kai H (02:27.0710)
Max laps 30
Lasted laps 5
Host HDR Procar Championship
Other settings DamageType = 3, FuelUsageType = 0, PenaltiesType = 1, ServerControlsSetup = 1, ServerControlsTrack = 1, ServerControlsVehicle = 1, ServerControlsVehicleClass = 0, TireWearType = 6
Pos Driver Vehicle Laps Best lap Gap Aids
1 Kai H BMW M1 Procar 3 02:27.0710 - -
2 Harjis BMW M1 Procar 2 02:27.8660 00:00.7950 -
3 McIne BMW M1 Procar 5 02:30.3490 00:03.2780 -
4 Hese BMW M1 Procar 3 02:31.4340 00:04.3630 -
5 Jancker BMW M1 Procar 4 02:33.2250 00:06.1540 -
6 Kaatis BMW M1 Procar 0 - - -

Qualify 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
Jump to: Kai H - Harjis - McIne - Hese - Jancker - Kaatis

Kai H
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:27.0710 39.1430 69.3390 38.5890
2 BMW M1 Procar 02:30.1240 39.3430 71.5160 39.2660
3 BMW M1 Procar 07:55.6970 365.6210 71.1160 38.9600
Average   04:17.6310 148.0357 70.6570 38.9383  
Best possible   02:27.0710 39.1430 69.3390 38.5890  

Harjis
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:33.9040 39.8000 74.9630 39.1410
2 BMW M1 Procar 02:27.8660 39.5530 69.4890 38.8240
Average   02:30.8850 39.6765 72.2260 38.9825  
Best possible   02:27.8660 39.5530 69.4890 38.8240  

McIne
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:30.9830 41.8400 70.0040 39.1390
2 BMW M1 Procar 02:45.4660 39.7000 70.9630 54.8030
3 BMW M1 Procar 02:30.5450 39.9440 70.8010 39.8000
4 BMW M1 Procar 02:30.3490 39.9800 70.8080 39.5610
5 BMW M1 Procar 02:31.0960 40.8000 70.5200 39.7760
Average   02:33.6878 40.4528 70.6192 42.6158  
Best possible   02:28.8430 39.7000 70.0040 39.1390  

Hese
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:40.5150 40.9580 71.5160 48.0400
2 BMW M1 Procar 02:31.9130 40.9800 70.9640 39.9690
3 BMW M1 Procar 02:31.4340 40.5110 71.0130 39.9100
Average   02:34.6203 40.8163 71.1643 42.6397  
Best possible   02:31.3850 40.5110 70.9640 39.9100  

Jancker
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:33.2250 40.8390 71.1690 41.2170
2 BMW M1 Procar 02:33.3550 40.7940 72.3930 40.1670
3 BMW M1 Procar 02:33.5330 40.8400 71.3940 41.2990
4 BMW M1 Procar 02:46.9980 40.7300 71.8130 54.4540
Average   02:36.7774 40.8008 71.6923 44.2843  
Best possible   02:32.0660 40.7300 71.1690 40.1670  

Kaatis
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
No laps for this driver

Qualify best laps

Overall top (20)
Driver Vehicle Time Gap
Kai H BMW M1 Procar 02:27.0710
Harjis BMW M1 Procar 02:27.8660 0.795
Kai H BMW M1 Procar 02:30.1240 3.053
McIne BMW M1 Procar 02:30.3490 3.278
McIne BMW M1 Procar 02:30.5450 3.474
McIne BMW M1 Procar 02:30.9830 3.912
McIne BMW M1 Procar 02:31.0960 4.025
Hese BMW M1 Procar 02:31.4340 4.363
Hese BMW M1 Procar 02:31.9130 4.842
Jancker BMW M1 Procar 02:33.2250 6.154
Jancker BMW M1 Procar 02:33.3550 6.284
Jancker BMW M1 Procar 02:33.5330 6.462
Harjis BMW M1 Procar 02:33.9040 6.833
Hese BMW M1 Procar 02:40.5150 13.444
McIne BMW M1 Procar 02:45.4660 18.395
Jancker BMW M1 Procar 02:46.9980 19.927
Kai H BMW M1 Procar 07:55.6970 328.626
Per driver
Driver Vehicle Time Gap
Kai H BMW M1 Procar 02:27.0710
Harjis BMW M1 Procar 02:27.8660 0.795
McIne BMW M1 Procar 02:30.3490 3.278
Hese BMW M1 Procar 02:31.4340 4.363
Jancker BMW M1 Procar 02:33.2250 6.154

Qualify consistency

Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.

Driver Vehicle Consistency
Jancker BMW M1 Procar 96.91% <> 4.737
McIne BMW M1 Procar 96.44% <> 5.3533
Kai H BMW M1 Procar -
Harjis BMW M1 Procar -
Hese BMW M1 Procar -
Kaatis BMW M1 Procar -

Qualify sectors

Sector 1
Driver Time Gap
Kai H 39.1430 -
Harjis 39.5530 0.4100
McIne 39.7000 0.5570
Hese 40.5110 1.3680
Jancker 40.7300 1.5870
Sector 2
Driver Time Gap
Kai H 69.3390 -
Harjis 69.4890 0.1500
McIne 70.0040 0.6650
Hese 70.9640 1.6250
Jancker 71.1690 1.8300
Sector 3
Driver Time Gap
Kai H 38.5890 -
Harjis 38.8240 0.2350
McIne 39.1390 0.5500
Hese 39.9100 1.3210
Jancker 40.1670 1.5780

Race result



Game Automobilista 2
Session Race
Date 2025-06-15 16:03:59 (UTC)
Track Spa_Francorchamps_1993
Winner Harjis
Led most laps Harjis
Best lap Kai H (02:28.5080)
Max laps 45
Lasted laps 18
Host HDR Procar Championship
Other settings DamageType = 3, FuelUsageType = 0, PenaltiesType = 1, ServerControlsSetup = 1, ServerControlsTrack = 1, ServerControlsVehicle = 1, ServerControlsVehicleClass = 0, TireWearType = 6
Pos Up Driver Vehicle Laps Time/Retired Best lap Consistency Led Pits Aids
1 ▴ 1 Harjis BMW M1 Procar 18   46:27.7510 02:29.0180 95.81% 14 0 -
2 ▴ 2 Hese BMW M1 Procar 18 +01:25.3480 02:32.7270 95.25% 0 0 -
3 ▾ 2 Kai H BMW M1 Procar 18 +02:41.1660 02:28.5080 98.89% 4 3 -
4 ▴ 1 Jancker BMW M1 Procar 17 +1 lap 02:31.9690 98.05% 0 2 -
5 ▾ 2 McIne BMW M1 Procar 17 +1 lap 02:31.6040 96.37% 0 3 -
6 ▸ 0 Kaatis BMW M1 Procar 15 +3 laps 02:39.9090 92.96% 0 2 -

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
Jump to: Harjis - Hese - Kai H - Jancker - McIne - Kaatis

Harjis
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:34.5070 45.5000 69.8340 39.1730
2 BMW M1 Procar 02:29.0180 39.9010 69.6540 39.4630
3 BMW M1 Procar 02:29.5250 39.7230 70.1250 39.6770
4 BMW M1 Procar 02:29.9260 39.8220 70.4020 39.7020
5 BMW M1 Procar 02:35.7810 40.7560 74.5390 40.4860
6 BMW M1 Procar 02:40.4870 41.7840 75.5420 43.1620
7 BMW M1 Procar 02:48.7400 43.8170 79.5240 45.3990
8 BMW M1 Procar 02:47.2260 44.2250 80.1770 42.8250
9 BMW M1 Procar 02:42.6440 44.0820 77.4670 41.0950
10 BMW M1 Procar 02:35.9640 42.1470 73.8380 39.9790
11 BMW M1 Procar 02:32.6060 41.3040 71.4630 39.8390
12 BMW M1 Procar 02:31.8700 40.3800 71.6870 39.8020
13 BMW M1 Procar 02:30.3620 40.3930 70.1150 39.8540
14 BMW M1 Procar 02:30.9610 40.5040 70.4640 39.9930
15 BMW M1 Procar 02:32.6620 40.2180 70.1320 42.3120
16 BMW M1 Procar 02:31.3250 40.5640 71.0630 39.6980
17 BMW M1 Procar 02:32.4280 41.5860 70.9670 39.8750
18 BMW M1 Procar 02:31.7200 40.6970 70.7270 40.2960
Average   02:34.8752 41.5224 72.6511 40.7017  
Best possible   02:28.5500 39.7230 69.6540 39.1730  

Hese
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:40.6040 47.6770 72.1300 40.7970
2 BMW M1 Procar 02:32.9870 41.0410 71.8580 40.0880
3 BMW M1 Procar 02:33.8950 41.5700 71.8210 40.5040
4 BMW M1 Procar 02:35.8010 41.5440 72.8600 41.3970
5 BMW M1 Procar 02:39.9470 41.8070 75.1810 42.9590
6 BMW M1 Procar 02:44.8170 43.3590 77.0390 44.4190
7 BMW M1 Procar 02:53.5440 45.1810 82.8220 45.5420
8 BMW M1 Procar 02:53.2790 45.7820 83.1360 44.3620
9 BMW M1 Procar 02:46.1520 44.1730 79.4340 42.5450
10 BMW M1 Procar 02:43.1930 44.3930 76.5900 42.2100
11 BMW M1 Procar 02:37.6290 42.0870 73.6650 41.8770
12 BMW M1 Procar 02:37.4590 41.8960 73.6150 41.9470
13 BMW M1 Procar 02:36.9700 42.0430 73.4520 41.4750
14 BMW M1 Procar 02:34.2070 41.3670 71.5420 41.2980
15 BMW M1 Procar 02:34.1260 41.5030 72.2910 40.3320
16 BMW M1 Procar 02:33.7610 41.5590 71.7980 40.4040
17 BMW M1 Procar 02:32.7270 41.0990 71.6460 39.9810
18 BMW M1 Procar 02:41.9980 42.3910 75.2940 44.3130
Average   02:39.6164 42.8040 74.7874 42.0250  
Best possible   02:32.5640 41.0410 71.5420 39.9810  

Kai H
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:53.9140 44.8700 70.0940 58.9490
2 BMW M1 Procar 02:28.5080 39.8030 69.6840 39.0210
3 BMW M1 Procar 02:28.9270 39.7610 69.8020 39.3640
4 BMW M1 Procar 02:29.6450 39.5580 70.3640 39.7230
5 (P: 57.9435) BMW M1 Procar 02:38.9600 40.3600 72.5230 46.0770
6 (P: 57.6675) BMW M1 Procar 04:01.7370 93.6340 94.2720 53.8310
7 BMW M1 Procar 03:40.1770 85.6040 90.0800 44.4940
8 (P: 31.4285) BMW M1 Procar 02:52.8080 44.0220 79.2310 49.5540
9 BMW M1 Procar 03:01.0460 63.6420 77.3660 40.0380
10 BMW M1 Procar 02:32.4540 40.7600 72.1320 39.5630
11 BMW M1 Procar 02:30.3790 40.0430 70.9790 39.3570
12 BMW M1 Procar 02:32.4390 40.6650 72.5650 39.2090
13 BMW M1 Procar 02:29.1830 39.9370 69.9540 39.2920
14 BMW M1 Procar 02:29.6490 39.8610 70.4040 39.3840
15 BMW M1 Procar 02:29.1050 39.9800 69.9390 39.1860
16 BMW M1 Procar 02:28.7690 40.1010 69.9650 38.7030
17 BMW M1 Procar 02:30.2060 40.4020 70.3450 39.4590
18 BMW M1 Procar 02:31.0120 40.5060 70.3650 40.1410
Average   02:43.8288 47.4172 73.8924 42.5192  
Best possible   02:27.9450 39.5580 69.6840 38.7030  

Jancker
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:44.7730 50.1660 73.9130 40.6950
2 BMW M1 Procar 02:34.1970 41.2780 72.2650 40.6540
3 BMW M1 Procar 02:33.1820 40.9640 71.8650 40.3530
4 BMW M1 Procar 02:33.1880 40.8180 72.2560 40.1130
5 BMW M1 Procar 02:38.8470 41.1020 75.8200 41.9250
6 (P: 74.4234) BMW M1 Procar 03:09.0990 51.0770 85.3120 52.7100
7 BMW M1 Procar 03:48.2990 105.0320 80.6010 42.6660
8 BMW M1 Procar 02:49.7730 43.8790 82.0480 43.8460
9 (P: 28.6044) BMW M1 Procar 03:02.4440 44.0000 89.3040 49.1400
10 BMW M1 Procar 02:56.4880 62.7830 73.6860 40.0200
11 BMW M1 Procar 02:33.1780 40.8770 72.1600 40.1410
12 BMW M1 Procar 02:32.0220 41.0700 71.1940 39.7580
13 BMW M1 Procar 02:32.8800 40.9030 71.8850 40.0920
14 BMW M1 Procar 02:32.0040 40.7230 71.3130 39.9670
15 BMW M1 Procar 02:32.4840 41.1200 71.4600 39.9030
16 BMW M1 Procar 02:31.9690 41.0680 71.2540 39.6460
17 BMW M1 Procar 02:32.4180 40.6940 71.4630 40.2610
Average   02:44.5437 47.5032 75.1646 41.8759  
Best possible   02:31.5340 40.6940 71.1940 39.6460  

McIne
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:39.9890 48.8820 71.1860 39.9210
2 BMW M1 Procar 02:31.6040 40.3760 71.3290 39.8990
3 BMW M1 Procar 02:31.6420 40.3240 71.3560 39.9620
4 BMW M1 Procar 02:40.0990 40.7260 77.4850 41.8880
5 (P: 27.4575) BMW M1 Procar 02:57.1570 40.9720 89.2490 46.9360
6 BMW M1 Procar 03:09.3410 64.1630 81.5380 43.6400
7 BMW M1 Procar 02:51.7720 44.5820 82.2720 44.9180
8 (P: 47.9305) BMW M1 Procar 02:59.5790 44.4560 80.9040 54.2190
9 BMW M1 Procar 03:27.2680 77.3530 86.1950 43.7200
10 BMW M1 Procar 02:42.9690 42.8890 77.3590 42.7210
11 (P: 44.2165) BMW M1 Procar 03:36.6960 43.1850 115.0320 58.4790
12 BMW M1 Procar 03:04.3150 69.3790 73.8870 41.0490
13 BMW M1 Procar 02:33.6640 41.2220 72.0220 40.4200
14 BMW M1 Procar 02:33.5300 40.9880 72.4020 40.1400
15 BMW M1 Procar 02:32.6270 40.8390 71.5660 40.2220
16 BMW M1 Procar 02:34.3010 41.4630 72.5160 40.3220
17 BMW M1 Procar 02:33.3780 40.8840 72.1240 40.3700
Average   02:49.4077 47.2166 78.7307 43.4604  
Best possible   02:31.4090 40.3240 71.1860 39.8990  

Kaatis
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M1 Procar 02:46.8330 49.3300 75.7810 41.7220
2 (P: 71.2805) BMW M1 Procar 03:08.9620 56.8440 80.6190 51.5000
3 BMW M1 Procar 04:14.3520 116.4730 75.9300 61.9490
4 BMW M1 Procar 02:39.9090 42.4050 75.1200 42.3840
5 BMW M1 Procar 02:54.9380 49.0790 81.2930 44.5660
6 BMW M1 Procar 03:07.5750 46.1480 92.7560 48.6700
7 BMW M1 Procar 03:04.5120 48.2000 88.8080 47.5040
8 BMW M1 Procar 02:53.6640 46.5970 82.6560 44.4110
9 BMW M1 Procar 02:50.0230 45.0480 80.5820 44.3930
10 BMW M1 Procar 02:45.5580 43.7630 77.8660 43.9290
11 BMW M1 Procar 02:49.2390 47.6180 77.3150 44.3060
12 (P: 67.6195) BMW M1 Procar 03:16.8280 56.4490 87.0580 53.3210
13 BMW M1 Procar 03:58.1110 110.9910 84.7710 42.3490
14 BMW M1 Procar 02:53.6210 49.8820 78.7580 44.9800
15 BMW M1 Procar 03:31.2090 44.0630 86.7330 80.4130
Average   03:07.6888 56.8593 81.7364 49.0931  
Best possible   02:39.2470 42.4050 75.1200 41.7220  

Race best laps

Overall top (20)
Driver Vehicle Time Gap
Kai H BMW M1 Procar 02:28.5080
Kai H BMW M1 Procar 02:28.7690 0.261
Kai H BMW M1 Procar 02:28.9270 0.419
Harjis BMW M1 Procar 02:29.0180 0.51
Kai H BMW M1 Procar 02:29.1050 0.597
Kai H BMW M1 Procar 02:29.1830 0.675
Harjis BMW M1 Procar 02:29.5250 1.017
Kai H BMW M1 Procar 02:29.6450 1.137
Kai H BMW M1 Procar 02:29.6490 1.141
Harjis BMW M1 Procar 02:29.9260 1.418
Kai H BMW M1 Procar 02:30.2060 1.698
Harjis BMW M1 Procar 02:30.3620 1.854
Kai H BMW M1 Procar 02:30.3790 1.871
Harjis BMW M1 Procar 02:30.9610 2.453
Kai H BMW M1 Procar 02:31.0120 2.504
Harjis BMW M1 Procar 02:31.3250 2.817
McIne BMW M1 Procar 02:31.6040 3.096
McIne BMW M1 Procar 02:31.6420 3.134
Harjis BMW M1 Procar 02:31.7200 3.212
Harjis BMW M1 Procar 02:31.8700 3.362
Per driver
Driver Vehicle Time Gap
Kai H BMW M1 Procar 02:28.5080
Harjis BMW M1 Procar 02:29.0180 0.51
McIne BMW M1 Procar 02:31.6040 3.096
Jancker BMW M1 Procar 02:31.9690 3.461
Hese BMW M1 Procar 02:32.7270 4.219
Kaatis BMW M1 Procar 02:39.9090 11.401

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
Kai H BMW M1 Procar 98.89% <> 1.6527
Jancker BMW M1 Procar 98.05% <> 2.9558
McIne BMW M1 Procar 96.37% <> 5.5051
Harjis BMW M1 Procar 95.81% <> 6.2462
Hese BMW M1 Procar 95.25% <> 7.2583
Kaatis BMW M1 Procar 92.96% <> 11.2648

Race sectors

Sector 1
Driver Time Gap
Kai H 39.5580 -
Harjis 39.7230 0.1650
McIne 40.3240 0.7660
Jancker 40.6940 1.1360
Hese 41.0410 1.4830
Kaatis 42.4050 2.8470
Sector 2
Driver Time Gap
Harjis 69.6540 -
Kai H 69.6840 0.0300
McIne 71.1860 1.5320
Jancker 71.1940 1.5400
Hese 71.5420 1.8880
Kaatis 75.1200 5.4660
Sector 3
Driver Time Gap
Kai H 38.7030 -
Harjis 39.1730 0.4700
Jancker 39.6460 0.9430
McIne 39.8990 1.1960
Hese 39.9810 1.2780
Kaatis 41.7220 3.0190

Race incidents

■ Incident for review
Date Incident
18:19:09 - e.t. 15:10 Kai H reported contact with another vehicle Jancker. CollisionMagnitude: 430
18:19:09 - e.t. 15:10 Jancker reported contact with another vehicle Kai H. CollisionMagnitude: 449

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.

Fullscreen

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