SRV Melbourne 2022 - Layout GP (3xDRS)

15 Jun 22 20:16 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 Pascal Hein Stiftung Plankentest II STM BMW M4 2022 01:41.989
Tyre: S 		01:45.173 54 laps / 7 cuts 2 - 11
2 Uemit Zobu CRM Motorsport STM BMW M4 2022 01:43.157
Tyre: S 		02:25.489 27 laps / 3 cuts 11 - 36
3 Philipp Krauslach Micro-Machines Sim Racing I STM Mercedes AMG C63 2022 01:45.758
Tyre: H 		01:47.518 14 laps / 2 cuts 7 - 23
4 Eileen Weimer SRV Jägermeister eSport I STM Audi RS5 2022 01:45.812
Tyre: H 		01:47.522 13 laps / 1 cuts 13 - 20
5 Lars Maisack MOR eSports STM BMW M4 2022 01:45.884
Tyre: S 		02:05.827 42 laps / 7 cuts 13 - 92
6 Michael Weimer SRV Jägermeister eSport II STM Audi RS5 2022 01:47.628
Tyre: S 		01:48.617 9 laps / 4 cuts 8 - 24
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Lars Maisack Collision with environment 32.4 X: 0.9 Y: -0.4 Z: 2.2 X: -604.9 Y: 2.9 Z: -520.7 16:17:30 (CEST)
2 Lars Maisack Collision with environment 23.9 X: 0.9 Y: 0.1 Z: -1.8 X: -604.8 Y: 3.5 Z: -521.0 16:17:35 (CEST)
3 Lars Maisack Collision with environment 20.7 X: -0.8 Y: -0.4 Z: 2.2 X: -635.7 Y: 2.8 Z: -418.8 16:19:25 (CEST)
4 Lars Maisack Collision with environment 123.6 X: 0.3 Y: -0.1 Z: 2.3 X: -510.2 Y: 3.2 Z: -60.4 16:24:50 (CEST)
5 Lars Maisack Collision with environment 6.2 X: -0.9 Y: -0.4 Z: 2.2 X: -638.3 Y: 2.8 Z: -418.0 16:41:21 (CEST)
6 Pascal Hein Collision with environment 10.3 X: 1.0 Y: -0.4 Z: 1.8 X: 152.4 Y: 2.7 Z: 729.6 16:54:07 (CEST)
7 Pascal Hein Collision with environment 14.0 X: 1.0 Y: -0.4 Z: 1.8 X: 155.0 Y: 2.7 Z: 732.3 16:55:47 (CEST)
8 Lars Maisack Collision with environment 59.0 X: -0.4 Y: -0.2 Z: 2.2 X: -175.8 Y: 3.2 Z: -825.9 16:55:56 (CEST)
9 Pascal Hein Collision with environment 14.8 X: 1.0 Y: -0.4 Z: 1.8 X: 156.6 Y: 2.7 Z: 734.0 16:59:12 (CEST)
10 Lars Maisack Collision with environment 68.3 X: -0.8 Y: -0.4 Z: 2.2 X: 106.0 Y: 2.6 Z: 661.4 17:05:41 (CEST)
11 Lars Maisack Collision with environment 13.6 X: -0.9 Y: -0.4 Z: 2.2 X: 89.1 Y: 2.7 Z: 645.3 17:05:46 (CEST)
12 Lars Maisack Collision with environment 45.7 X: -0.9 Y: -0.3 Z: 2.1 X: 526.5 Y: 2.9 Z: 346.7 17:12:41 (CEST)
13 Lars Maisack Collision with environment 26.7 X: 0.9 Y: -0.4 Z: -1.9 X: 386.6 Y: 3.6 Z: 214.9 17:16:16 (CEST)
14 Lars Maisack Collision with environment 2.6 X: 0.9 Y: -0.4 Z: 2.2 X: 406.6 Y: 3.8 Z: 211.8 17:16:21 (CEST)
15 Pascal Hein Collision with environment 4.4 X: 1.0 Y: -0.4 Z: -1.0 X: 149.6 Y: 2.7 Z: 726.7 17:44:58 (CEST)
16 Pascal Hein Collision with environment 178.5 X: -0.7 Y: 0.1 Z: 2.2 X: -778.8 Y: 5.9 Z: -492.5 18:09:26 (CEST)
17 Lars Maisack Collision with environment 12.1 X: 0.9 Y: -0.4 Z: 2.2 X: 294.5 Y: 2.9 Z: 746.7 18:12:51 (CEST)
18 Uemit Zobu Collision with environment 37.8 X: -0.9 Y: -0.4 Z: 2.2 X: -644.5 Y: 2.9 Z: -415.9 18:13:46 (CEST)
19 Uemit Zobu Collision with environment 8.7 X: -1.0 Y: -0.4 Z: -1.0 X: 209.9 Y: 3.4 Z: 201.2 18:22:01 (CEST)
20 Uemit Zobu Collision with environment 17.4 X: 0.7 Y: -0.4 Z: 2.3 X: -700.2 Y: 3.5 Z: -447.6 18:26:41 (CEST)
21 Lars Maisack Collision with environment 70.4 X: -0.9 Y: -0.4 Z: 2.2 X: -160.9 Y: 3.2 Z: -819.3 18:38:57 (CEST)
22 Lars Maisack Collision with environment 122.3 X: -0.6 Y: -0.3 Z: 2.2 X: -460.9 Y: 2.9 Z: -38.4 18:47:27 (CEST)
23 Michael Weimer Collision with environment 18.2 X: -0.7 Y: -0.3 Z: 2.3 X: 741.5 Y: 3.8 Z: 854.1 18:50:38 (CEST)
24 Uemit Zobu Collision with environment 5.1 X: -0.9 Y: -0.4 Z: 2.2 X: -646.2 Y: 2.8 Z: -415.4 18:53:17 (CEST)
25 Michael Weimer Collision with environment 3.7 X: 1.0 Y: -0.3 Z: -1.0 X: -607.4 Y: 3.4 Z: -576.4 18:57:03 (CEST)
26 Eileen Weimer Collision with environment 16.6 X: -0.9 Y: -0.3 Z: 2.2 X: -161.2 Y: 3.2 Z: -819.4 19:00:15 (CEST)
27 Uemit Zobu Collision with environment 45.6 X: 0.8 Y: -0.4 Z: 2.2 X: -605.2 Y: 3.0 Z: -531.7 19:10:07 (CEST)
28 Eileen Weimer Collision with environment 57.1 X: -0.7 Y: -0.4 Z: 2.1 X: -116.6 Y: 3.2 Z: -813.4 19:15:50 (CEST)
29 Uemit Zobu Collision with environment 6.2 X: -0.9 Y: -0.4 Z: 2.2 X: -639.1 Y: 2.8 Z: -417.7 19:21:02 (CEST)
30 Philipp Krauslach Collision with environment 55.0 X: -0.7 Y: 0.1 Z: 2.2 X: -349.8 Y: 3.2 Z: 113.0 20:02:23 (CEST)
31 Philipp Krauslach Collision with environment 52.1 X: -0.8 Y: -0.4 Z: 2.2 X: -644.4 Y: 2.8 Z: -416.0 20:08:48 (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: 01:41.989, Potential: 01:41.952
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:55.616 02:47.136 00:23.404 00:45.076 1 H
2 01:45.581 00:37.218 00:22.877 00:45.486 0 H
3 01:46.814 00:36.930 00:25.361 00:44.523 0 H
4 01:44.790 00:37.056 00:23.102 00:44.632 0 H
5 01:43.963 00:36.747 00:22.909 00:44.307 0 H
6 03:52.160 02:43.886 00:23.198 00:45.076 0 H
7 01:44.565 00:36.858 00:23.048 00:44.659 0 H
8 04:11.468 03:03.798 00:23.188 00:44.482 0 H
9 01:43.993 00:36.691 00:22.842 00:44.460 0 H
10 04:31.603 03:24.364 00:23.575 00:43.664 0 S
11 04:53.576 03:46.572 00:23.192 00:43.812 0 S
12 01:42.229 00:36.182 00:22.527 00:43.520 0 S
13 01:41.989
L
L
00:35.997 00:22.517 00:43.475 0 S
14 01:43.118 00:36.950 00:22.563 00:43.605 0 S
15 01:42.440 00:36.029 00:22.667 00:43.744 0 S
16 01:42.616 00:36.254 00:22.590 00:43.772 0 S
17 07:23.642 06:16.233 00:23.265 00:44.144 1 S
18 01:42.310 00:36.174 00:22.612 00:43.524 0 S
19 01:41.998 00:35.988
S
S
00:22.526 00:43.484 0 S
20 01:42.308 00:36.262 00:22.513
S
S
00:43.533 0 S
21 01:42.368 00:36.300 00:22.617 00:43.451
S
S
0 S
22 01:42.490 00:36.151 00:22.576 00:43.763 0 S
23 01:42.947
C
00:36.289 00:22.972 00:43.686 1 S
24 01:42.810 00:36.313 00:22.612 00:43.885 0 S
25 01:43.063 00:36.323 00:22.712 00:44.028 0 S
26 01:43.110 00:36.321 00:22.914 00:43.875 0 S
27 01:43.346 00:36.571 00:22.810 00:43.965 0 S
28 01:43.070 00:36.493 00:22.662 00:43.915 0 S
29 01:43.822
C
00:36.669 00:22.859 00:44.294 1 S
30 01:43.911 00:36.608 00:22.919 00:44.384 0 S
31 01:43.904 00:36.814 00:22.730 00:44.360 0 S
32 06:22.397 05:14.128 00:23.305 00:44.964 1 H
33 01:44.286 00:37.231 00:22.833 00:44.222 0 H
34 01:43.958 00:36.598 00:22.662 00:44.698 0 H
35 01:43.584 00:36.641 00:22.708 00:44.235 0 H
36 01:43.446 00:36.593 00:22.667 00:44.186 0 H
37 01:43.617 00:36.719 00:22.815 00:44.083 0 H
38 02:02.687 00:54.089 00:22.811 00:45.787 0 H
39 02:29.745 01:22.010 00:23.257 00:44.478 0 H
40 01:43.706 00:36.755 00:22.761 00:44.190 0 H
41 01:43.710 00:36.866 00:22.784 00:44.060 0 H
42 01:44.723 00:36.900 00:22.792 00:45.031 0 H
43 01:44.416 00:37.015 00:22.729 00:44.672 0 H
44 01:44.361
C
00:36.721 00:22.919 00:44.721 1 H
45 01:43.877 00:36.953 00:22.743 00:44.181 0 H
46 01:43.827 00:36.695 00:22.649 00:44.483 0 H
47 01:44.080 00:36.841 00:22.657 00:44.582 0 H
48 01:44.054 00:36.896 00:22.825 00:44.333 0 H
49 01:43.979 00:36.813 00:22.734 00:44.432 0 H
50 01:44.313 00:36.857 00:22.726 00:44.730 0 H
51 01:44.138 00:36.796 00:22.946 00:44.396 0 H
52 01:44.245 00:36.871 00:22.765 00:44.609 0 H
53 01:45.288 00:37.666 00:22.874 00:44.748 0 H
54 01:45.133
C
00:37.314 00:22.796 00:45.023 1 H
2nd Uemit Zobu in STM BMW M4 2022
Best: 01:43.157, Potential: 01:43.040
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:48.009 01:36.728 00:24.247 00:47.034 1 S
2 05:58.672 04:42.680 00:27.316 00:48.676 0 S
3 06:50.545 05:36.840 00:24.660 00:49.045 0 S
4 01:45.557 00:37.594 00:23.274 00:44.689 0 S
5 01:45.294 00:36.997 00:22.693 00:45.604 0 S
6 02:17.763 00:40.711 00:23.414 01:13.638 0 S
7 01:52.378 00:40.378 00:23.481 00:48.519 0 S
8 01:47.430
C
00:38.868 00:23.719 00:44.843 1 S
9 07:38.531 06:30.401 00:23.238 00:44.892 0 S
10 01:46.639 00:39.351 00:22.783 00:44.505 0 S
11 01:48.496 00:41.099 00:22.716 00:44.681 0 S
12 01:45.026 00:36.672 00:22.679 00:45.675 0 S
13 24:45.894 23:36.558 00:23.445 00:45.891 0 S
14 01:48.580 00:39.748 00:23.090 00:45.742 0 S
15 03:45.915 02:37.766 00:23.176 00:44.973 0 S
16 01:46.208 00:37.372 00:22.977 00:45.859 0 S
17 01:47.310 00:37.812 00:24.578 00:44.920 0 S
18 01:59.736 00:36.945 00:24.781 00:58.010 0 S
19 01:45.718 00:38.187 00:22.725 00:44.806 0 S
20 01:45.315 00:36.811 00:23.567 00:44.937 0 S
21 01:45.245 00:37.525 00:22.756 00:44.964 0 S
22 02:03.172
C
00:36.948 00:22.796 01:03.428 1 H
23 04:10.602 03:01.995 00:23.615 00:44.992 0 S
24 01:45.786 00:37.061 00:22.627 00:46.098 0 S
25 01:43.157
L
00:36.539
S
00:22.685 00:43.933
S
0 S
26 01:43.300 00:36.579 00:22.720 00:44.001 0 S
27 01:43.524 00:36.626 00:22.568
S
00:44.330 0 S
3rd Philipp Krauslach in STM Mercedes AMG C63 2022
Best: 01:45.758, Potential: 01:45.475
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:23.899 03:08.672 00:24.764 00:50.463 1 H
2 01:48.645 00:38.238 00:23.877 00:46.530 0 H
3 01:48.054 00:37.862 00:23.571 00:46.621 0 H
4 03:24.576 02:13.678 00:24.592 00:46.306 1 H
5 01:47.208 00:37.777 00:23.364 00:46.067 0 H
6 01:47.284 00:37.885 00:23.256 00:46.143 0 H
7 01:48.014 00:38.562 00:23.255 00:46.197 0 H
8 01:48.318 00:38.729 00:23.428 00:46.161 0 H
9 01:46.083 00:37.696
S
00:22.972 00:45.415 0 H
10 03:07.281 01:57.058 00:23.675 00:46.548 0 H
11 01:48.423 00:39.509 00:23.342 00:45.572 0 H
12 01:45.758
L
00:37.979 00:22.905
S
00:44.874
S
0 H
13 04:20.926 03:10.870 00:23.711 00:46.345 0 H
14 01:47.398 00:38.417 00:23.094 00:45.887 0 H
4th Eileen Weimer in STM Audi RS5 2022
Best: 01:45.812, Potential: 01:45.687
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:48.669 02:30.225 00:29.277 00:49.167 1 H
2 01:50.452 00:39.406 00:24.138 00:46.908 0 H
3 01:47.376 00:38.206 00:23.283 00:45.887 0 H
4 01:47.441 00:38.555 00:23.198 00:45.688 0 H
5 01:48.021 00:38.293 00:23.468 00:46.260 0 H
6 03:23.993 02:12.826 00:24.647 00:46.520 0 H
7 01:48.768 00:38.077 00:23.116 00:47.575 0 H
8 01:47.329 00:37.844 00:23.396 00:46.089 0 H
9 01:46.336 00:37.846 00:22.910
S
00:45.580 0 H
10 05:04.296 03:55.405 00:23.215 00:45.676 0 H
11 01:45.812
L
00:37.305
S
00:23.035 00:45.472
S
0 H
12 03:33.950 02:24.947 00:23.211 00:45.792 0 H
13 01:46.171 00:37.416 00:23.129 00:45.626 0 H
5th Lars Maisack in STM BMW M4 2022
Best: 01:45.884, Potential: 01:45.305
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:02.495 03:35.223 00:33.592 00:53.680 1 H
2 03:49.169 02:33.029 00:24.229 00:51.911 0 H
3 01:53.236 00:41.002 00:23.819 00:48.415 0 H
4 01:54.963 00:43.138 00:23.832 00:47.993 0 H
5 01:55.443 00:41.989 00:23.351 00:50.103 0 H
6 01:51.514 00:40.076 00:23.774 00:47.664 0 H
7 01:50.715 00:39.754 00:23.413 00:47.548 0 H
8 08:49.289 07:35.958 00:24.399 00:48.932 0 H
9 01:52.079
C
00:40.732 00:23.710 00:47.637 1 H
10 01:52.174 00:41.456 00:23.544 00:47.174 0 H
11 03:46.428 02:34.945 00:23.881 00:47.602 0 H
12 01:54.633 00:43.411 00:23.909 00:47.313 0 H
13 01:51.285 00:39.617 00:23.544 00:48.124 0 H
14 01:49.295 00:38.650 00:23.679 00:46.966 0 H
15 01:50.504 00:38.604 00:23.314 00:48.586 0 H
16 03:08.579 01:56.732 00:24.148 00:47.699 0 H
17 01:49.686 00:39.486 00:23.553 00:46.647 0 H
18 01:51.771
C
00:40.292 00:23.652 00:47.827 1 H
19 12:39.091 11:28.455 00:23.841 00:46.795 0 H
20 01:50.665 00:40.978 00:23.485 00:46.202 0 H
21 01:48.069 00:38.408 00:23.302 00:46.359 0 H
22 01:54.439 00:38.564 00:23.373 00:52.502 0 H
23 01:47.618 00:37.995 00:23.427 00:46.196 0 H
24 05:57.859 04:46.538 00:24.197 00:47.124 1 H
25 01:55.354 00:39.610 00:23.369 00:52.375 0 H
26 01:48.716 00:38.741 00:23.648 00:46.327 0 H
27 01:53.110 00:38.621 00:23.401 00:51.088 0 H
28 02:43.815 01:32.890 00:23.922 00:47.003 0 S
29 01:45.884
L
00:37.782 00:23.165 00:44.937
S
0 S
30 01:49.361 00:39.972 00:22.986 00:46.403 0 S
31 01:52.210 00:37.910 00:22.834
S
00:51.466 0 S
32 01:49.625
C
00:37.355 00:24.152 00:48.118 1 S
33 02:18.135 01:06.967 00:23.994 00:47.174 0 S
34 01:46.533 00:37.534
S
00:23.126 00:45.873 0 S
35 01:49.642 00:41.049 00:23.197 00:45.396 0 S
36 01:45.971 00:38.049 00:22.851 00:45.071 0 S
37 01:55.549 00:37.704 00:22.941 00:54.904 0 S
38 01:47.816
C
00:38.669 00:23.288 00:45.859 1 S
39 03:33.289 02:21.581 00:24.156 00:47.552 0 H
40 01:48.860 00:38.571 00:23.733 00:46.556 0 H
41 01:50.356
C
00:38.855 00:24.615 00:46.886 1 H
42 01:47.456 00:38.247 00:23.274 00:45.935 0 H
6th Michael Weimer in STM Audi RS5 2022
Best: 01:47.628, Potential: 01:47.628
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:05.947 03:51.701 00:26.047 00:48.199 1 S
2 01:47.628
L
00:37.877
S
00:24.201
S
00:45.550
S
0 S
3 01:46.946
C
00:37.327 00:23.625 00:45.994 1 S
4 01:49.163 00:39.008 00:24.220 00:45.935 0 S
5 05:44.370 04:28.918 00:24.273 00:51.179 0 H
6 01:48.207
C
00:38.691 00:24.236 00:45.280 1 H
7 01:49.061 00:38.312 00:24.301 00:46.448 0 H
8 17:23.786 16:12.659 00:24.233 00:46.894 0 H
9 01:48.147
C
00:38.045 00:23.194 00:46.908 1 H