SRV Melbourne Layout GP (3xDRS)

21 Jan 22 19:16 CET
Back to Results
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
1 Stiftung Plankentest II STM BMW M4 2022 01:45.432
Tyre: M
01:59.379 27 laps / 4 cuts
2 HabAuchKeins STM BMW M4 2022 01:45.959
Tyre: M
02:15.420 23 laps / 7 cuts
3 SRV Jägermeister eSport II STM Audi RS5 2022 01:47.638
Tyre: M
02:34.245 11 laps / 2 cuts
4 Horizont Personalmanagement Racing STM Audi RS5 2022 01:47.864
Tyre: S
01:59.854 35 laps / 12 cuts
5 Horizont Personalmanagement Racing STM BMW M4 2022 01:52.940
Tyre: S
02:22.641 5 laps / 1 cuts
6 HW Performance STM Mercedes C63 2022 01:54.026
Tyre: M
01:54.654 3 laps / 1 cuts
7 Bayern Racing STM Mercedes C63 2022 01:56.598
Tyre: M
02:01.531 37 laps / 6 cuts
8 Bayern Racing STM Mercedes C63 2022 02:03.152
Tyre: M
02:03.152 2 laps / 1 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 5.0 X: 0.9 Y: -0.4 Z: 2.2 X: -18.5 Y: 3.2 Z: 537.4 16:09:40 (CET)
2 Collision with environment 10.2 X: -0.9 Y: -0.4 Z: 2.2 X: -663.2 Y: 2.9 Z: -409.6 16:18:10 (CET)
3 Collision with environment 46.6 X: -0.7 Y: -0.4 Z: 2.2 X: -155.2 Y: 3.1 Z: -818.2 16:24:01 (CET)
4 Collision with environment 27.4 X: -0.9 Y: -0.4 Z: -1.9 X: -156.2 Y: 3.2 Z: -818.4 16:24:06 (CET)
5 Collision with environment 32.9 X: -1.0 Y: -0.4 Z: -1.0 X: 52.8 Y: 3.6 Z: -378.8 17:16:49 (CET)
6 Collision with environment 52.6 X: -0.9 Y: -0.4 Z: 2.2 X: -636.8 Y: 2.8 Z: -418.5 17:22:38 (CET)
7 Collision with environment 1.1 X: -1.0 Y: -0.4 Z: -1.0 X: 19.4 Y: 3.2 Z: -230.2 17:27:10 (CET)
8 Collision with environment 30.4 X: -0.9 Y: -0.4 Z: -1.9 X: 40.4 Y: 3.3 Z: -351.2 17:30:40 (CET)
9 Collision with environment 75.0 X: 0.0 Y: -0.4 Z: 2.4 X: -607.9 Y: 2.9 Z: -507.7 17:39:30 (CET)
10 Collision with environment 1.0 X: -1.0 Y: -0.4 Z: 1.8 X: 28.5 Y: 3.2 Z: -285.3 17:47:41 (CET)
11 Collision with environment 71.6 X: -0.9 Y: -0.3 Z: 2.2 X: -494.7 Y: 3.6 Z: -740.2 17:51:40 (CET)
12 Collision with car 12.2 X: -0.7 Y: -0.3 Z: -2.4 X: 90.7 Y: 3.6 Z: -393.4 17:56:58 (CET)
13 Collision with environment 19.5 X: -0.9 Y: -0.4 Z: 2.2 X: 687.0 Y: 3.3 Z: 796.6 17:58:09 (CET)
14 Collision with environment 1.6 X: -0.9 Y: -0.4 Z: 2.2 X: 684.7 Y: 3.3 Z: 797.7 17:58:14 (CET)
15 Collision with car 10.6 X: 1.0 Y: -0.4 Z: -0.4 X: 324.1 Y: 2.7 Z: 685.3 18:03:41 (CET)
16 Collision with environment 11.5 X: -1.0 Y: -0.3 Z: 1.8 X: 33.7 Y: 3.4 Z: -317.0 18:04:10 (CET)
17 Collision with car 10.0 X: -0.4 Y: -0.3 Z: -2.4 X: -598.9 Y: 3.7 Z: -648.4 18:09:46 (CET)
18 Collision with car 2.9 X: -0.7 Y: -0.2 Z: 2.3 X: -598.3 Y: 3.7 Z: -650.2 18:09:51 (CET)
19 Collision with environment 7.7 X: -0.9 Y: -0.4 Z: 2.2 X: 68.4 Y: 3.8 Z: -401.7 18:10:16 (CET)
20 Collision with environment 10.5 X: 1.0 Y: -0.4 Z: 1.8 X: 125.7 Y: 2.6 Z: 704.8 18:10:54 (CET)
21 Collision with environment 53.0 X: -0.7 Y: -0.3 Z: 2.3 X: -674.1 Y: 2.8 Z: -406.8 18:18:10 (CET)
22 Collision with environment 44.0 X: -0.9 Y: -0.4 Z: 2.2 X: 324.8 Y: 2.5 Z: 724.5 18:23:44 (CET)
23 Collision with environment 126.8 X: -0.8 Y: -0.3 Z: 2.1 X: -396.5 Y: 3.0 Z: 17.4 18:40:08 (CET)
24 Collision with environment 43.2 X: 0.9 Y: -0.2 Z: 2.1 X: -392.2 Y: 2.3 Z: 59.9 18:41:15 (CET)
25 Collision with environment 23.8 X: 1.0 Y: -0.4 Z: 1.8 X: 165.7 Y: 2.7 Z: 743.5 18:53:25 (CET)
26 Collision with environment 18.7 X: 0.9 Y: 0.1 Z: -1.8 X: -1.8 Y: 3.9 Z: -796.2 18:54:15 (CET)
27 Collision with environment 60.9 X: 0.7 Y: -0.4 Z: 2.3 X: -606.0 Y: 3.2 Z: -545.9 19:00:05 (CET)
28 Collision with environment 59.4 X: 0.7 Y: -0.4 Z: 2.3 X: -580.6 Y: 2.5 Z: -576.6 19:00:10 (CET)
29 Collision with environment 16.8 X: 0.9 Y: -0.3 Z: -1.9 X: -516.6 Y: 3.7 Z: -747.9 19:00:38 (CET)
30 Collision with environment 60.2 X: -0.9 Y: -0.4 Z: 2.2 X: -158.1 Y: 3.2 Z: -818.8 19:06:20 (CET)
Car Env Rel
SRV Melbourne Layout GP (3xDRS) SRV Melbourne Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Pascal Hein in STM BMW M4 2022
Best: 01:45.432, Potential: 01:45.330
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:46.220 02:30.877 00:27.621 00:47.722 1 M
2 02:30.338 01:16.404 00:27.171 00:46.763 0 M
3 01:46.617 00:33.717 00:26.612 00:46.288 0 M
4 01:46.425 00:33.596 00:26.443 00:46.386 0 M
5 01:47.298 00:34.150 00:27.009 00:46.139 0 M
6 01:45.641 00:33.484 00:26.248 00:45.909 0 M
7 01:46.090 00:33.482 00:26.406 00:46.202 0 M
8 41:59.240 40:44.576 00:27.208 00:47.456 0 M
9 01:45.843 00:33.482 00:26.226 00:46.135 0 M
10 01:45.934 00:33.587 00:26.380 00:45.967 0 M
11 01:45.782 00:33.490 00:26.312 00:45.980 0 M
12 02:53.778 01:40.468 00:27.000 00:46.310 1 M
13 01:46.267 00:33.538 00:26.473 00:46.256 0 M
14 01:45.584 00:33.405 00:26.153
S
S
00:46.026 0 M
15 01:45.487 00:33.397 00:26.275 00:45.815
S
S
0 M
16 03:34.268 02:20.982 00:26.910 00:46.376 0 M
17 01:47.125
C
00:33.384 00:27.526 00:46.215 1 M
18 01:46.808 00:33.414 00:26.613 00:46.781 0 M
19 01:45.910 00:33.636 00:26.163 00:46.111 0 M
20 01:45.652 00:33.485 00:26.303 00:45.864 0 M
21 01:45.783
C
00:33.607 00:26.172 00:46.004 1 M
22 04:06.708 02:53.362 00:26.816 00:46.530 0 M
23 01:45.929 00:33.362
S
00:26.235 00:46.332 0 M
24 01:46.414 00:33.770 00:26.361 00:46.283 0 M
25 01:46.120 00:33.454 00:26.487 00:46.179 0 M
26 01:45.432
L
L
00:33.418 00:26.186 00:45.828 0 M
27 01:45.812 00:33.385 00:26.347 00:46.080 0 M
2nd Jean Ora in STM BMW M4 2022
Best: 01:45.959, Potential: 01:45.959
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:16.433 02:58.269 00:28.413 00:49.751 1 M
2 01:46.743 00:33.901 00:26.411 00:46.431 0 M
3 01:51.582 00:33.552 00:30.802 00:47.228 0 M
4 01:46.546 00:33.587 00:26.542 00:46.417 0 M
5 01:47.124
C
00:33.526 00:26.811 00:46.787 1 M
6 04:51.005 03:36.189 00:27.922 00:46.894 0 M
7 01:46.545 00:33.338 00:26.821 00:46.386 0 M
8 01:47.369
C
00:33.732 00:26.918 00:46.719 1 M
9 03:46.902 02:30.789 00:29.394 00:46.719 0 M
10 01:48.323 00:33.551 00:27.689 00:47.083 0 M
11 01:45.959
L
00:33.298
S
S
00:26.298
S
00:46.363
S
0 M
12 01:50.887 00:34.752 00:29.547 00:46.588 0 M
13 02:32.884 01:13.859 00:29.314 00:49.711 1 M
14 04:11.078 02:56.450 00:27.995 00:46.633 0 M
15 01:48.839 00:33.734 00:27.955 00:47.150 0 M
16 01:47.602 00:34.301 00:26.569 00:46.732 0 M
17 01:47.546 00:34.124 00:26.829 00:46.593 0 M
18 01:47.220 00:33.717 00:27.081 00:46.422 0 M
19 02:33.527 01:18.675 00:27.944 00:46.908 1 M
20 02:50.331 01:35.801 00:27.756 00:46.774 1 M
21 06:47.895 05:25.410 00:27.990 00:54.495 1 M
22 04:17.705 03:03.320 00:27.675 00:46.710 0 M
23 01:47.832 00:34.239 00:26.865 00:46.728 0 M
3rd Michael Weimer in STM Audi RS5 2022
Best: 01:47.638, Potential: 01:47.638
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:30.461 02:13.953 00:28.061 00:48.447 1 M
2 01:50.284 00:35.057 00:27.207 00:48.020 0 M
3 03:07.858 01:52.735 00:27.265 00:47.858 0 M
4 01:49.513 00:34.475 00:27.522 00:47.516 0 M
5 06:59.837 05:41.236 00:30.820 00:47.781 0 M
6 01:47.980
C
00:34.000 00:26.861 00:47.119 1 M
7 08:15.505 07:00.396 00:27.670 00:47.439 0 M
8 01:48.694 00:34.376 00:26.947 00:47.371 0 M
9 05:45.030 04:29.259 00:27.288 00:48.483 0 M
10 01:50.699 00:35.846 00:27.113 00:47.740 0 M
11 01:47.638
L
00:34.086
S
00:26.828
S
00:46.724
S
0 M
4th Thomas Kneissler in STM Audi RS5 2022
Best: 01:47.864, Potential: 01:47.864
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:16.251 01:55.871 00:29.277 00:51.103 1 M
2 02:58.321 01:39.679 00:29.984 00:48.658 0 M
3 01:51.335 00:34.998 00:27.575 00:48.762 0 M
4 01:49.938
C
00:35.134 00:27.509 00:47.295 1 M
5 01:49.746 00:34.924 00:27.373 00:47.449 0 M
6 01:49.939 00:34.532 00:27.198 00:48.209 0 M
7 01:49.580 00:34.804 00:27.454 00:47.322 0 M
8 01:48.912 00:34.626 00:27.207 00:47.079 0 M
9 01:49.610 00:34.479 00:27.341 00:47.790 0 M
10 09:05.079 07:46.652 00:29.750 00:48.677 0 S
11 01:47.864
L
00:34.303
S
00:27.058
S
00:46.503
S
0 S
12 05:40.733 04:19.639 00:31.009 00:50.085 0 S
13 01:50.365 00:35.152 00:27.283 00:47.930 0 S
14 01:52.982 00:36.555 00:28.390 00:48.037 0 S
15 01:52.187 00:35.804 00:27.739 00:48.644 0 S
16 01:53.313 00:34.976 00:27.446 00:50.891 0 S
17 01:49.295 00:34.883 00:27.136 00:47.276 0 S
18 02:20.853 00:34.810 00:27.554 01:18.489 0 S
19 01:53.206 00:36.688 00:27.599 00:48.919 0 S
20 01:49.761
C
00:34.791 00:27.396 00:47.574 1 S
21 02:11.615 00:34.857 00:27.107 01:09.651 1 S
22 02:02.929 00:45.970 00:28.985 00:47.974 1 S
23 02:01.037 00:34.809 00:27.575 00:58.653 0 S
24 02:17.721 00:35.697 00:28.998 01:13.026 1 M
25 01:58.908
C
00:41.598 00:28.678 00:48.632 1 M
26 01:50.483 00:35.099 00:27.658 00:47.726 0 M
27 01:52.156 00:36.768 00:27.386 00:48.002 0 M
28 01:50.850
C
00:35.056 00:27.626 00:48.168 1 M
29 01:52.783
C
00:35.613 00:29.322 00:47.848 1 M
30 01:51.740
C
00:34.799 00:27.982 00:48.959 1 M
31 01:51.125
C
00:34.985 00:27.693 00:48.447 1 M
32 01:51.598 00:35.503 00:27.936 00:48.159 0 M
33 01:49.891 00:34.885 00:27.175 00:47.831 0 M
34 03:14.271 01:57.388 00:28.570 00:48.313 0 S
35 01:47.266
C
00:33.925 00:26.896 00:46.445 1 S
5th Daniel Amann in STM BMW M4 2022
Best: 01:52.940, Potential: 01:52.940
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:20.790 02:10.618 00:33.250 01:36.922 1 M
2 02:01.535 00:41.296 00:28.768 00:51.471 0 M
3 01:54.995 00:36.750 00:28.097 00:50.148 0 M
4 03:41.097 02:17.612 00:32.252 00:51.233 0 S
5 01:52.940
L
00:35.801
S
00:27.689
S
00:49.450
S
0 S
6th Dirk Wiedemann in STM Mercedes C63 2022
Best: 01:54.026, Potential: 01:54.026
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:29.671 01:09.292 00:29.043 00:51.336 1 M
2 01:55.282 00:36.960 00:28.350 00:49.972 0 M
3 01:54.026
L
00:36.221
S
00:27.919
S
00:49.886
S
0 M
7th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:56.598, Potential: 01:56.067
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 09:18.384 06:27.545 01:00.985 01:49.854 1 M
2 02:15.593 00:47.340 00:31.787 00:56.466 0 M
3 02:06.273 00:39.324 00:29.700 00:57.249 0 M
4 02:53.944 01:26.554 00:33.844 00:53.546 1 M
5 02:03.891 00:39.894 00:30.649 00:53.348 0 M
6 01:58.579 00:37.799 00:29.377 00:51.403 0 M
7 01:59.715 00:38.098 00:29.516 00:52.101 0 M
8 01:57.571 00:37.133 00:28.981 00:51.457 0 M
9 02:03.301 00:37.801 00:29.605 00:55.895 0 M
10 02:01.263 00:37.418 00:29.790 00:54.055 0 M
11 02:01.581 00:39.199 00:30.146 00:52.236 0 M
12 01:58.556 00:37.161 00:29.609 00:51.786 0 M
13 01:56.598
L
00:36.515
S
00:29.322 00:50.761
S
0 M
14 05:27.142 04:03.689 00:31.221 00:52.232 1 M
15 02:05.164 00:37.076 00:28.791
S
00:59.297 0 M
16 02:05.011 00:40.155 00:31.553 00:53.303 0 M
17 01:59.912 00:38.192 00:29.025 00:52.695 0 M
18 02:02.852 00:36.758 00:33.112 00:52.982 0 M
19 02:01.341 00:37.173 00:30.870 00:53.298 0 M
20 01:59.762 00:37.876 00:29.579 00:52.307 0 M
21 01:59.801 00:37.874 00:29.448 00:52.479 0 M
22 09:02.314 07:38.461 00:30.856 00:52.997 1 M
23 02:01.613 00:37.598 00:30.686 00:53.329 0 M
24 02:01.084 00:38.914 00:30.281 00:51.889 0 M
25 01:59.053 00:37.189 00:29.934 00:51.930 0 M
26 02:12.004 00:47.750 00:30.371 00:53.883 0 M
27 01:58.738 00:37.824 00:29.461 00:51.453 0 M
28 07:06.745 05:39.472 00:32.459 00:54.814 0 M
29 01:58.049 00:37.914 00:28.957 00:51.178 0 M
30 01:58.685 00:36.705 00:29.826 00:52.154 0 M
31 02:04.792 00:37.222 00:30.406 00:57.164 1 M
32 04:09.170 02:45.862 00:30.933 00:52.375 1 M
33 02:01.053 00:38.676 00:29.951 00:52.426 0 M
34 01:57.350 00:36.836 00:29.052 00:51.462 0 M
35 01:57.916 00:36.866 00:29.385 00:51.665 0 M
36 01:58.468 00:36.829 00:29.507 00:52.132 0 M
37 02:05.160 00:41.351 00:30.830 00:52.979 0 M
8th Dieter Suessenguth in STM Mercedes C63 2022
Best: 02:03.152, Potential: 02:03.152
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:41.866 01:20.619 00:29.434 00:51.813 1 M
2 02:03.152
L
00:37.103
S
00:36.041
S
00:50.008
S
0 M