SRV Melbourne 2022 - Layout GP (3xDRS)

16 Jun 22 01:16 CEST
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Overview Practice
Open in Simresults Download as JSON L/S = Overall Best Lap/Sector L/S = Driver's Best Lap/Sector
# Name Team Car Best Practice Lap Average Lap Laps Ping
1 Stiftung Plankentest II STM BMW M4 2022 01:43.018
Tyre: H
02:16.885 25 laps / 3 cuts 2 - 11
2 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:45.645
Tyre: H
01:45.876 4 laps / 3 cuts 7 - 141
3 MOR eSports STM BMW M4 2022 01:46.514
Tyre: H
01:58.363 19 laps / 3 cuts 13 - 92
4 SRV Jägermeister eSport II STM Audi RS5 2022 01:47.416
Tyre: H
02:37.622 7 laps / 2 cuts 8 - 24
5 Horizont Personalmanagement Racing STM BMW M4 2022 01:50.395
Tyre: H
02:13.121 14 laps / 2 cuts 8 - 18
6 Test Drive STM BMW M4 2022 01:53.688
Tyre: H
02:40.075 8 laps / 1 cuts 14 - 25
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 28.0 X: 0.7 Y: -0.4 Z: 2.3 X: -714.9 Y: 3.8 Z: -449.8 20:41:44 (CEST)
2 Collision with environment 6.3 X: 1.0 Y: -0.4 Z: 1.8 X: 149.6 Y: 2.7 Z: 726.8 20:42:24 (CEST)
3 Collision with environment 11.1 X: 1.0 Y: -0.4 Z: -1.0 X: 153.1 Y: 2.7 Z: 730.3 20:45:49 (CEST)
4 Collision with environment 49.4 X: -0.9 Y: -0.3 Z: 2.2 X: 283.0 Y: 2.6 Z: 669.9 20:46:09 (CEST)
5 Collision with environment 4.0 X: 1.0 Y: -0.4 Z: 1.8 X: -605.2 Y: 3.0 Z: -531.1 20:47:14 (CEST)
6 Collision with environment 10.0 X: -0.7 Y: -0.4 Z: 2.3 X: 352.7 Y: 3.0 Z: 664.8 20:52:24 (CEST)
7 Collision with environment 122.5 X: -0.6 Y: 0.0 Z: 2.1 X: -404.4 Y: 3.5 Z: 10.0 20:54:41 (CEST)
8 Collision with environment 34.3 X: 0.8 Y: -0.4 Z: 2.2 X: 666.8 Y: 4.3 Z: 845.1 20:56:09 (CEST)
9 Collision with environment 45.6 X: -0.1 Y: -0.4 Z: 2.3 X: 158.1 Y: 2.4 Z: 710.8 20:56:20 (CEST)
10 Collision with environment 40.4 X: 0.8 Y: -0.2 Z: -2.3 X: 163.2 Y: 2.9 Z: 740.8 20:59:59 (CEST)
11 Collision with environment 16.3 X: -0.9 Y: -0.4 Z: 2.2 X: -350.0 Y: 2.7 Z: 110.0 21:02:41 (CEST)
12 Collision with environment 19.8 X: -0.9 Y: -0.4 Z: 2.2 X: 300.6 Y: 3.0 Z: 742.7 21:04:40 (CEST)
13 Collision with environment 19.9 X: -1.0 Y: -0.4 Z: 1.8 X: 535.2 Y: 2.9 Z: 353.9 21:06:16 (CEST)
14 Collision with environment 60.6 X: -0.8 Y: -0.0 Z: -2.4 X: -604.9 Y: 3.3 Z: -519.8 21:09:16 (CEST)
15 Collision with environment 51.2 X: 0.9 Y: -0.4 Z: 2.2 X: 285.4 Y: 2.8 Z: 752.6 21:10:35 (CEST)
16 Collision with environment 12.5 X: -1.0 Y: -0.4 Z: -1.0 X: -429.0 Y: 3.0 Z: -11.6 21:14:15 (CEST)
17 Collision with environment 40.2 X: 0.8 Y: -0.4 Z: 2.2 X: -554.8 Y: 3.0 Z: -108.9 21:14:20 (CEST)
18 Collision with environment 20.3 X: -1.0 Y: -0.3 Z: 1.8 X: -107.0 Y: 3.2 Z: -812.9 21:22:22 (CEST)
19 Collision with environment 5.5 X: -0.9 Y: -0.4 Z: 2.2 X: -347.9 Y: 2.8 Z: 128.7 21:25:31 (CEST)
20 Collision with environment 96.1 X: 0.7 Y: -0.4 Z: 2.3 X: -433.7 Y: 2.8 Z: 9.6 21:27:36 (CEST)
21 Collision with environment 3.1 X: 1.0 Y: -0.4 Z: 1.8 X: -527.1 Y: 3.1 Z: -78.8 21:27:41 (CEST)
22 Collision with environment 30.3 X: -0.7 Y: -0.3 Z: 2.3 X: 729.0 Y: 4.0 Z: 844.8 21:34:51 (CEST)
23 Collision with environment 40.2 X: -1.0 Y: -0.4 Z: 1.8 X: -131.0 Y: 3.1 Z: -814.6 21:40:01 (CEST)
24 Collision with environment 32.5 X: 0.4 Y: -0.4 Z: 2.3 X: -58.3 Y: 3.4 Z: -821.1 22:37:04 (CEST)
25 Collision with environment 19.0 X: -0.8 Y: -0.4 Z: 2.2 X: 615.9 Y: 3.0 Z: 826.8 22:42:19 (CEST)
26 Collision with environment 66.5 X: -0.9 Y: -0.4 Z: 2.2 X: -385.7 Y: 3.0 Z: 28.2 22:44:44 (CEST)
27 Collision with environment 59.7 X: 1.0 Y: -0.3 Z: 1.8 X: -521.5 Y: 3.7 Z: -745.0 22:48:24 (CEST)
28 Collision with environment 64.9 X: -0.9 Y: -0.4 Z: 2.2 X: -454.8 Y: 3.4 Z: -765.5 22:48:29 (CEST)
29 Collision with environment 15.2 X: -0.9 Y: -0.4 Z: 2.2 X: -341.1 Y: 2.9 Z: -813.0 22:48:34 (CEST)
30 Collision with environment 13.9 X: -0.9 Y: -0.4 Z: -1.9 X: -467.1 Y: 3.3 Z: -759.5 22:54:54 (CEST)
Car Env Rel
SRV Melbourne 2022 - Layout GP (3xDRS) SRV Melbourne 2022 - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Pascal Hein in STM BMW M4 2022
Best: 01:43.018, Potential: 01:42.762
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:20.926 02:12.544 00:23.207 00:45.175 1 H
2 01:43.497 00:36.735 00:22.752 00:44.010 0 H
3 01:43.977 00:36.809 00:22.689 00:44.479 0 H
4 01:43.198 00:36.625 00:22.680 00:43.893 0 H
5 04:58.410 03:50.550 00:23.300 00:44.560 0 H
6 01:43.306 00:36.490 00:22.617 00:44.199 0 H
7 03:53.421 02:45.745 00:23.211 00:44.465 0 H
8 03:35.369 02:27.437 00:23.171 00:44.761 0 H
9 04:49.771 03:40.529 00:24.607 00:44.635 0 H
10 01:43.587 00:36.689 00:22.734 00:44.164 0 H
11 05:14.347 04:05.799 00:23.156 00:45.392 0 H
12 01:43.762 00:36.757 00:22.635 00:44.370 0 H
13 02:06.874 00:36.505 00:38.007 00:52.362 0 H
14 02:43.680 01:36.099 00:23.166 00:44.415 0 H
15 03:56.925 02:49.240 00:23.157 00:44.528 0 H
16 03:05.284 01:56.808 00:23.201 00:45.275 1 H
17 01:44.032 00:36.847 00:22.824 00:44.361 0 H
18 01:43.578 00:36.721 00:22.739 00:44.118 0 H
19 01:44.750 00:36.400
S
S
00:22.653 00:45.697 0 H
20 01:43.331 00:36.534 00:22.572
S
S
00:44.225 0 H
21 02:51.367 01:43.799 00:23.166 00:44.402 0 H
22 01:43.069 00:36.473 00:22.654 00:43.942 0 H
23 03:30.075 02:22.593 00:23.228 00:44.254 0 H
24 01:43.275
C
00:36.445 00:22.788 00:44.042 1 H
25 01:43.018
L
L
00:36.535 00:22.693 00:43.790
S
S
0 H
2nd Philipp Krauslach in STM Mercedes C63 2022
Best: 01:45.645, Potential: 01:45.330
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:15.404 01:05.421 00:23.480 00:46.503 3 H
2 01:46.247 00:37.852 00:22.928 00:45.467 0 H
3 01:45.645
L
00:37.609
S
00:23.180 00:44.856
S
0 H
4 01:45.736 00:37.988 00:22.865
S
00:44.883 0 H
3rd Lars Maisack in STM BMW M4 2022
Best: 01:46.514, Potential: 01:46.327
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 11:32.250 10:17.081 00:26.488 00:48.681 1 H
2 01:50.772 00:38.650 00:24.313 00:47.809 0 H
3 01:47.689 00:38.105 00:23.301 00:46.283 0 H
4 01:50.458 00:41.055 00:23.400 00:46.003 0 H
5 01:48.820 00:38.935 00:23.373 00:46.512 0 H
6 01:49.351 00:38.570 00:24.264 00:46.517 0 H
7 02:37.685 01:26.739 00:24.061 00:46.885 0 H
8 01:49.591 00:39.684 00:23.364 00:46.543 0 H
9 01:49.810
C
00:39.282 00:24.187 00:46.341 1 H
10 01:48.109 00:38.215 00:23.211 00:46.683 0 H
11 02:34.499 01:23.917 00:23.944 00:46.638 0 H
12 01:53.502 00:38.540 00:23.099 00:51.863 0 H
13 01:46.514
L
00:37.701
S
00:23.174 00:45.639
S
0 H
14 04:18.531 03:04.937 00:24.264 00:49.330 1 H
15 02:22.190 01:10.177 00:24.237 00:47.776 0 H
16 01:56.751 00:44.220 00:23.395 00:49.136 0 H
17 01:49.525 00:40.040 00:22.987
S
00:46.498 0 H
18 03:54.393 02:42.010 00:23.980 00:48.403 0 H
19 01:49.997 00:39.176 00:23.306 00:47.515 0 H
4th Michael Weimer in STM Audi RS5 2022
Best: 01:47.416, Potential: 01:47.416
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:38.381 02:23.744 00:26.281 00:48.356 1 H
2 01:49.119 00:38.901 00:23.539 00:46.679 0 H
3 03:24.961 02:13.596 00:24.052 00:47.313 0 H
4 01:49.293
C
00:38.426 00:23.599 00:47.268 1 H
5 03:28.993 02:17.979 00:24.165 00:46.849 0 H
6 07:16.996 06:06.260 00:24.454 00:46.282 0 H
7 01:47.416
L
00:38.219
S
00:23.319
S
00:45.878
S
0 H
5th Daniel Amann in STM BMW M4 2022
Best: 01:50.395, Potential: 01:49.453
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:43.237 02:20.995 00:26.311 00:55.931 1 H
2 02:02.451 00:46.423 00:25.951 00:50.077 0 H
3 02:42.719 01:28.488 00:24.295 00:49.936 0 H
4 02:56.947 01:43.048 00:25.614 00:48.285 0 H
5 01:53.469 00:39.866 00:25.345 00:48.258 0 H
6 02:57.668 01:44.629 00:24.458 00:48.581 0 H
7 01:56.273
C
00:41.331 00:25.366 00:49.576 1 H
8 01:52.863 00:40.669 00:23.333
S
00:48.861 0 H
9 01:52.216 00:39.244
S
00:24.646 00:48.326 0 H
10 01:50.395
L
00:39.471 00:24.048 00:46.876
S
0 H
11 02:46.141 01:30.699 00:25.884 00:49.558 0 H
12 01:55.421 00:44.205 00:23.480 00:47.736 0 H
13 01:53.934 00:42.370 00:24.485 00:47.079 0 H
14 01:53.229 00:40.652 00:23.576 00:49.001 0 H
6th Christof Garasi in STM BMW M4 2022
Best: 01:53.688, Potential: 01:52.878
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 10:12.681 08:48.855 00:28.628 00:55.198 1 H
2 04:22.997 03:04.067 00:25.858 00:53.072 0 H
3 01:56.660 00:41.042 00:25.300 00:50.318 0 H
4 01:56.039 00:40.804 00:25.367 00:49.868 0 H
5 01:55.329 00:40.498 00:25.560 00:49.271 0 H
6 04:41.258 03:26.536 00:25.160 00:49.562 0 H
7 01:54.555 00:40.602 00:25.407 00:48.546
S
0 H
8 01:53.688
L
00:40.135
S
00:24.197
S
00:49.356 0 H