SRV Melbourne Layout GP (3xDRS)

16 Jan 22 22:38 CET
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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
1 Stiftung Plankentest II STM BMW M4 2022 01:45.482
Tyre: M
02:07.437 21 laps / 8 cuts
2 SRV Jägermeister eSport II STM Audi RS5 2022 01:45.910
Tyre: M
01:55.291 22 laps / 7 cuts
3 Stiftung Plankentest I STM Audi RS5 2022 01:46.546
Tyre: M
02:07.656 8 laps / 2 cuts
4 HabAuchKeins STM BMW M4 2022 01:47.047
Tyre: S
01:51.811 17 laps / 3 cuts
5 HabKeins STM BMW M4 2022 01:47.143
Tyre: S
02:00.642 24 laps / 3 cuts
6 SRV Jägermeister eSport II STM Audi RS5 2022 01:48.129
Tyre: M
02:13.467 17 laps / 7 cuts
7 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:48.602
Tyre: M
02:27.613 19 laps / 6 cuts
8 CRM Motorsport STM Mercedes C63 2022 01:49.231
Tyre: M
02:21.383 17 laps / 7 cuts
9 SRV Jägermeister eSport I STM Audi RS5 2022 01:49.648
Tyre: M
02:06.806 6 laps / 4 cuts
10 Bayern Racing STM Mercedes C63 2022 02:01.590
Tyre: M
02:04.758 14 laps / 5 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 3.5 X: 1.0 Y: -0.3 Z: 1.8 X: -88.6 Y: 3.0 Z: 469.8 17:39:34 (CET)
2 Collision with environment 1.4 X: -1.0 Y: -0.3 Z: -1.0 X: 198.5 Y: 3.5 Z: 191.7 17:41:22 (CET)
3 Collision with environment 38.2 X: -0.7 Y: -0.3 Z: 2.3 X: -668.6 Y: 2.8 Z: -407.8 17:44:39 (CET)
4 Collision with environment 26.0 X: 1.0 Y: -0.3 Z: 1.8 X: 633.6 Y: 4.0 Z: 430.7 17:46:38 (CET)
5 Collision with environment 35.5 X: 0.9 Y: -0.3 Z: 2.2 X: 681.9 Y: 4.4 Z: 545.2 17:46:43 (CET)
6 Collision with environment 21.0 X: -1.0 Y: -0.4 Z: 1.8 X: 34.7 Y: 3.4 Z: -323.1 17:49:05 (CET)
7 Collision with environment 60.8 X: -0.9 Y: -0.3 Z: 2.2 X: -170.0 Y: 3.2 Z: -825.3 17:53:22 (CET)
8 Collision with environment 139.0 X: -0.8 Y: -0.3 Z: 2.2 X: -415.5 Y: 3.1 Z: 0.8 17:57:33 (CET)
9 Collision with environment 74.8 X: 0.8 Y: -0.0 Z: 2.0 X: -579.3 Y: 4.4 Z: -699.8 17:57:47 (CET)
10 Collision with environment 3.9 X: 0.9 Y: -0.4 Z: 2.2 X: -181.7 Y: 3.1 Z: -903.9 18:03:24 (CET)
11 Collision with environment 55.0 X: 0.7 Y: -0.4 Z: 2.3 X: -102.1 Y: 3.4 Z: -828.3 18:03:39 (CET)
12 Collision with environment 12.1 X: 1.0 Y: -0.3 Z: 1.8 X: -514.9 Y: 3.7 Z: -748.9 18:04:12 (CET)
13 Collision with environment 4.6 X: 0.9 Y: -0.3 Z: 2.2 X: -5.0 Y: 3.2 Z: 550.5 18:04:37 (CET)
14 Collision with environment 8.9 X: -1.0 Y: -0.4 Z: 0.2 X: 212.2 Y: 3.5 Z: 203.1 18:07:15 (CET)
15 Collision with environment 24.5 X: -0.9 Y: -0.3 Z: -1.9 X: 660.5 Y: 3.3 Z: 808.1 18:08:17 (CET)
16 Collision with environment 20.4 X: -0.7 Y: -0.4 Z: 2.3 X: 602.8 Y: 3.0 Z: 833.1 18:09:30 (CET)
17 Collision with environment 29.0 X: 0.9 Y: -0.3 Z: -1.9 X: 41.5 Y: 3.0 Z: -268.3 18:09:42 (CET)
18 Collision with environment 5.9 X: 0.9 Y: -0.3 Z: -1.9 X: 34.8 Y: 3.0 Z: -224.7 18:09:47 (CET)
19 Collision with environment 49.2 X: 0.9 Y: -0.3 Z: 2.2 X: 125.8 Y: 2.7 Z: 704.9 18:17:07 (CET)
20 Collision with environment 63.0 X: -0.7 Y: -0.3 Z: 2.3 X: 97.1 Y: 2.8 Z: 651.9 18:17:12 (CET)
21 Collision with environment 21.1 X: -0.7 Y: -0.3 Z: 2.3 X: -60.4 Y: 3.4 Z: -808.1 18:24:17 (CET)
22 Collision with environment 55.0 X: 0.9 Y: -0.4 Z: 2.2 X: 299.2 Y: 3.0 Z: 743.7 18:35:10 (CET)
23 Collision with environment 29.1 X: -0.9 Y: -0.4 Z: -1.9 X: -399.3 Y: 3.0 Z: 14.9 18:35:35 (CET)
24 Collision with environment 47.5 X: -0.7 Y: -0.4 Z: 2.3 X: -607.0 Y: 2.9 Z: -510.0 19:02:11 (CET)
25 Collision with environment 40.0 X: -0.7 Y: -0.4 Z: 2.3 X: 679.4 Y: 3.3 Z: 800.0 19:23:51 (CET)
26 Collision with environment 53.9 X: -0.7 Y: -0.4 Z: 2.3 X: 60.0 Y: 3.7 Z: -389.9 19:28:51 (CET)
27 Collision with environment 34.8 X: 0.7 Y: -0.3 Z: 2.3 X: 299.2 Y: 3.1 Z: 743.6 19:41:04 (CET)
28 Collision with environment 29.6 X: -0.7 Y: -0.4 Z: 2.3 X: 680.2 Y: 3.3 Z: 799.6 19:54:16 (CET)
29 Collision with environment 10.4 X: -0.7 Y: -0.4 Z: 2.3 X: 60.6 Y: 3.8 Z: -390.7 20:54:16 (CET)
30 Collision with car 36.5 X: -0.9 Y: -0.0 Z: -0.4 X: -162.9 Y: 3.3 Z: -838.2 21:01:41 (CET)
31 Collision with environment 45.9 X: -0.7 Y: -0.4 Z: 2.3 X: -106.1 Y: 3.2 Z: -812.9 21:01:41 (CET)
32 Collision with car 30.5 X: -0.9 Y: -0.4 Z: -2.0 X: -162.7 Y: 2.9 Z: -838.2 21:01:43 (CET)
33 Collision with environment 43.6 X: 0.9 Y: -0.4 Z: 2.2 X: -413.7 Y: 3.2 Z: -801.7 21:11:21 (CET)
34 Collision with environment 35.7 X: -0.9 Y: -0.4 Z: 2.2 X: -142.0 Y: 3.2 Z: -816.0 21:13:21 (CET)
35 Collision with environment 19.5 X: 0.9 Y: -0.3 Z: 1.8 X: -137.3 Y: 2.6 Z: 422.7 21:27:07 (CET)
36 Collision with environment 31.7 X: 0.7 Y: -0.4 Z: 2.3 X: -178.8 Y: 3.1 Z: -829.1 21:29:38 (CET)
37 Collision with environment 65.2 X: 0.9 Y: -0.3 Z: 2.1 X: 92.2 Y: 2.8 Z: 672.7 21:30:29 (CET)
38 Collision with environment 79.3 X: -0.7 Y: -0.2 Z: 2.2 X: -178.0 Y: 3.3 Z: -828.8 21:31:53 (CET)
39 Collision with environment 47.8 X: -0.9 Y: -0.4 Z: 2.2 X: -347.7 Y: 2.8 Z: 129.9 21:33:12 (CET)
40 Collision with environment 60.1 X: -0.7 Y: -0.4 Z: 2.3 X: -160.0 Y: 3.2 Z: -819.2 21:45:37 (CET)
41 Collision with environment 31.8 X: -0.9 Y: -0.4 Z: 2.2 X: 657.3 Y: 3.3 Z: 809.4 21:47:13 (CET)
42 Collision with environment 33.9 X: -0.9 Y: -0.3 Z: 1.8 X: -636.8 Y: 2.9 Z: -418.5 21:50:47 (CET)
43 Collision with environment 19.8 X: 0.9 Y: -0.4 Z: 2.2 X: 322.1 Y: 2.7 Z: 726.4 21:55:37 (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: 01:45.482, Potential: 01:45.277
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:16.797 01:03.033 00:27.103 00:46.661 1 M
2 04:25.688 03:12.694 00:26.869 00:46.125 0 M
3 01:45.977 00:33.581 00:26.479 00:45.917 0 M
4 01:45.685 00:33.627 00:26.216
S
S
00:45.842 0 M
5 01:45.927
C
00:33.643 00:26.428 00:45.856 1 M
6 01:45.970 00:33.727 00:26.366 00:45.877 0 M
7 01:45.661 00:33.503 00:26.303 00:45.855 0 M
8 03:05.046 01:51.916 00:27.031 00:46.099 0 M
9 01:46.308
C
00:33.552 00:26.392 00:46.364 1 M
10 01:45.587 00:33.461 00:26.272 00:45.854 0 M
11 03:55.726 02:41.818 00:27.041 00:46.867 0 M
12 01:45.494 00:33.413 00:26.267 00:45.814 0 M
13 01:46.085
C
00:33.465 00:26.514 00:46.106 1 M
14 01:45.649 00:33.505 00:26.429 00:45.715
S
S
0 M
15 01:45.652
C
00:33.535 00:26.321 00:45.796 1 M
16 01:45.571 00:33.346
S
S
00:26.357 00:45.868 0 M
17 01:45.949
C
00:33.562 00:26.379 00:46.008 1 M
18 03:59.162 02:45.727 00:27.040 00:46.395 0 M
19 01:46.049
C
00:33.582 00:26.333 00:46.134 1 M
20 01:45.482
L
L
00:33.420 00:26.297 00:45.765 0 M
21 01:45.689
C
00:33.518 00:26.254 00:45.917 1 M
2nd Stefan Herler in STM Audi RS5 2022
Best: 01:45.910, Potential: 01:45.664
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:22.533 01:08.004 00:27.396 00:47.133 1 M
2 01:46.487 00:33.768 00:26.523 00:46.196 0 M
3 01:46.275 00:33.735 00:26.478 00:46.062 0 M
4 01:46.312 00:33.637 00:26.564 00:46.111 0 M
5 01:46.070 00:33.602 00:26.425 00:46.043 0 M
6 01:46.365
C
00:33.505 00:26.613 00:46.247 1 M
7 01:45.966 00:33.570 00:26.405 00:45.991
S
0 M
8 01:47.063
C
00:33.606 00:26.666 00:46.791 1 M
9 02:49.986 01:36.482 00:27.086 00:46.418 0 M
10 01:46.938
C
00:33.875 00:26.541 00:46.522 1 M
11 02:40.231 01:26.566 00:26.991 00:46.674 0 M
12 01:46.548 00:33.629 00:26.614 00:46.305 0 M
13 01:46.191 00:33.498 00:26.433 00:46.260 0 M
14 01:46.281
C
00:33.498 00:26.459 00:46.324 1 M
15 01:46.280 00:33.587 00:26.460 00:46.233 0 M
16 01:45.910
L
00:33.347
S
00:26.326
S
00:46.237 0 M
17 03:09.037 01:53.752 00:27.383 00:47.902 0 M
18 01:46.260 00:33.693 00:26.379 00:46.188 0 M
19 01:46.105
C
00:33.565 00:26.532 00:46.008 1 M
20 04:31.689 03:17.884 00:27.058 00:46.747 0 M
21 01:46.272 00:33.682 00:26.483 00:46.107 0 M
22 01:46.879
C
00:33.889 00:26.662 00:46.328 1 M
3rd Tim Quoos in STM Audi RS5 2022
Best: 01:46.546, Potential: 01:46.373
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:07.142
C
00:52.915 00:27.454 00:46.773 1 M
2 01:47.021 00:33.644
S
00:26.704 00:46.673 0 M
3 01:47.008 00:33.843 00:26.581 00:46.584 0 M
4 01:47.250
C
00:34.561 00:26.447 00:46.242 1 M
5 03:31.131 02:17.411 00:26.911 00:46.809 0 M
6 01:46.546
L
00:33.817 00:26.329
S
00:46.400
S
0 M
7 04:56.637 03:42.261 00:27.252 00:47.124 0 M
8 01:46.578 00:33.763 00:26.374 00:46.441 0 M
4th Jens Bauer in STM BMW M4 2022
Best: 01:47.047, Potential: 01:46.849
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:45.818 03:27.636 00:28.916 00:49.266 1 M
2 01:49.857 00:35.148 00:27.233 00:47.476 0 M
3 01:51.510 00:38.069 00:26.838 00:46.603 0 M
4 02:04.226 00:34.258 00:26.851 01:03.117 0 M
5 01:49.191 00:34.567 00:27.058 00:47.566 0 M
6 01:48.387 00:34.074 00:27.112 00:47.201 0 M
7 02:04.038 00:50.102 00:27.113 00:46.823 0 M
8 01:48.369 00:34.924 00:26.874 00:46.571 0 M
9 10:22.354 09:03.176 00:29.278 00:49.900 0 S
10 01:48.249 00:34.264 00:26.883 00:47.102 0 S
11 04:09.673 02:54.942 00:27.738 00:46.993 0 S
12 01:47.047
L
00:33.845 00:26.636
S
00:46.566
S
0 S
13 01:47.240 00:33.647
S
00:26.785 00:46.808 0 S
14 01:47.215
C
00:33.604 00:26.662 00:46.949 1 S
15 06:16.962 05:01.280 00:28.054 00:47.628 0 S
16 02:15.463 00:34.240 00:52.996 00:48.227 1 S
17 12:22.641 11:07.373 00:27.518 00:47.750 0 S
5th Micha Schloz in STM BMW M4 2022
Best: 01:47.143, Potential: 01:47.143
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:42.916 03:23.028 00:29.160 00:50.728 1 M
2 01:54.319 00:35.888 00:27.945 00:50.486 0 M
3 01:52.051 00:35.672 00:27.316 00:49.063 0 M
4 01:50.980 00:34.772 00:27.730 00:48.478 0 M
5 02:08.067 00:35.177 00:43.939 00:48.951 0 M
6 01:51.140 00:35.198 00:27.280 00:48.662 0 M
7 01:49.731 00:34.617 00:27.054 00:48.060 0 M
8 01:52.383
C
00:36.814 00:27.301 00:48.268 1 M
9 09:40.463 08:22.821 00:28.683 00:48.959 0 M
10 01:58.020 00:38.171 00:30.740 00:49.109 0 M
11 04:22.935 03:05.894 00:28.265 00:48.776 0 M
12 01:50.141 00:34.681 00:27.113 00:48.347 0 M
13 01:50.824 00:35.017 00:27.396 00:48.411 0 M
14 01:49.720 00:34.336 00:27.266 00:48.118 0 M
15 06:49.011 05:32.308 00:28.373 00:48.330 0 M
16 01:51.708
C
00:36.742 00:27.171 00:47.795 1 M
17 01:49.129 00:34.272 00:27.067 00:47.790 0 M
18 06:24.081 05:07.761 00:27.855 00:48.465 0 M
19 01:49.673 00:34.425 00:27.377 00:47.871 0 M
20 01:49.051 00:34.508 00:27.000 00:47.543 0 M
21 01:48.788 00:34.485 00:26.801 00:47.502 0 M
22 05:29.398 04:14.527 00:27.895 00:46.976 0 S
23 01:49.211 00:35.285 00:26.830 00:47.096 0 S
24 01:47.143
L
00:33.811
S
00:26.653
S
00:46.679
S
0 S
6th Michael Weimer in STM Audi RS5 2022
Best: 01:48.129, Potential: 01:47.898
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:42.911 01:26.942 00:27.306 00:48.663 1 M
2 01:49.190 00:34.400 00:27.144 00:47.646 0 M
3 01:48.129
L
00:34.189
S
00:27.059 00:46.881
S
0 M
4 02:40.214 01:24.466 00:27.698 00:48.050 1 M
5 01:49.118 00:34.540 00:26.964 00:47.614 0 M
6 01:49.281
C
00:34.464 00:27.359 00:47.458 1 M
7 04:33.145 03:17.176 00:27.909 00:48.060 0 M
8 05:02.225 03:17.574 00:27.728 01:16.923 0 M
9 32:21.955 31:05.473 00:28.089 00:48.393 0 M
10 01:50.372
C
00:34.664 00:27.649 00:48.059 1 M
11 01:48.776 00:34.238 00:27.302 00:47.236 0 M
12 03:01.778 01:46.637 00:27.635 00:47.506 1 M
13 01:49.253 00:34.644 00:27.251 00:47.358 0 M
14 01:50.117 00:35.102 00:27.428 00:47.587 0 M
15 01:48.817
C
00:34.769 00:27.072 00:46.976 1 M
16 01:50.935 00:34.359 00:26.828
S
00:49.748 0 M
17 01:48.914
C
00:34.421 00:26.964 00:47.529 1 M
7th Philipp Krauslach in STM Mercedes C63 2022
Best: 01:48.602, Potential: 01:48.387
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:58.745 01:40.585 00:28.611 00:49.549 1 M
2 01:51.081 00:34.607 00:27.342 00:49.132 0 M
3 05:29.768 04:13.088 00:28.359 00:48.321 0 M
4 03:29.639 02:13.967 00:27.981 00:47.691 0 M
5 01:49.506 00:34.603 00:27.032 00:47.871 0 M
6 04:17.364 03:01.354 00:27.814 00:48.196 0 M
7 01:49.552
C
00:34.226 00:27.549 00:47.777 1 M
8 01:49.005 00:34.268 00:27.226 00:47.511 0 M
9 01:48.602
L
00:34.299 00:26.878
S
00:47.425 0 M
10 05:35.419 04:20.120 00:27.810 00:47.489 0 S
11 04:19.683 03:04.389 00:27.674 00:47.620 0 S
12 07:00.980 05:42.946 00:28.643 00:49.391 1 M
13 01:52.008
C
00:35.049 00:27.891 00:49.068 1 M
14 01:49.547
C
00:34.595 00:27.185 00:47.767 1 M
15 01:48.777 00:34.432 00:26.964 00:47.381 0 M
16 01:49.291 00:34.618 00:26.919 00:47.754 0 M
17 01:49.009
C
00:34.403 00:27.153 00:47.453 1 M
18 01:48.640 00:34.408 00:26.982 00:47.250
S
0 M
19 02:12.161 00:34.259
S
00:49.960 00:47.942 0 M
8th Viktor Kaltschew in STM Mercedes C63 2022
Best: 01:49.231, Potential: 01:49.163
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:20.575 02:02.226 00:29.195 00:49.154 1 M
2 01:49.832 00:34.782 00:27.206 00:47.844 0 M
3 01:49.757 00:34.752 00:27.242 00:47.763 0 M
4 01:49.515 00:34.625 00:27.226 00:47.664
S
0 M
5 01:50.042
C
00:34.677 00:27.400 00:47.965 1 M
6 01:53.574
C
00:34.815 00:27.391 00:51.368 1 M
7 12:27.998 11:05.977 00:33.575 00:48.446 0 M
8 04:35.195 03:16.553 00:28.963 00:49.679 0 M
9 01:51.026 00:35.391 00:27.324 00:48.311 0 M
10 01:49.343 00:34.603
S
00:26.969 00:47.771 0 M
11 01:49.231
L
00:34.639 00:26.896
S
00:47.696 0 M
12 01:50.697
C
00:34.655 00:28.067 00:47.975 1 M
13 09:06.619 07:43.409 00:30.596 00:52.614 0 M
14 01:51.664
C
00:35.223 00:27.386 00:49.055 1 M
15 01:50.809
C
00:34.957 00:27.032 00:48.820 1 M
16 02:40.169 00:34.570 00:51.053 01:14.546 1 M
17 03:17.165 01:57.358 00:30.465 00:49.342 0 M
9th Eileen Weimer in STM Audi RS5 2022
Best: 01:49.648, Potential: 01:49.370
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:36.479 02:20.816 00:27.855 00:47.808 3 M
2 02:39.645 01:24.045 00:28.039 00:47.561
S
0 M
3 02:07.682 00:51.556 00:28.156 00:47.970 0 M
4 01:49.933
C
00:35.111 00:27.212 00:47.610 1 M
5 01:50.251 00:35.200 00:27.284 00:47.767 0 M
6 01:49.648
L
00:34.651
S
00:27.158
S
00:47.839 0 M
10th Herbert Aeckerle in STM Mercedes C63 2022
Best: 02:01.590, Potential: 02:00.640
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:10.243 01:45.121 00:31.842 00:53.280 1 M
2 02:15.104 00:41.257 00:35.942 00:57.905 1 M
3 02:02.565 00:39.611 00:30.137
S
00:52.817 0 M
4 02:09.906 00:41.305 00:35.361 00:53.240 1 M
5 02:04.141 00:38.690
S
00:31.402 00:54.049 0 M
6 02:05.582 00:43.466 00:30.303 00:51.813
S
0 M
7 02:08.680 00:40.926 00:35.702 00:52.052 0 M
8 02:08.787 00:39.084 00:36.143 00:53.560 0 M
9 02:01.590
L
00:38.902 00:30.434 00:52.254 0 M
10 03:47.159 02:18.546 00:31.756 00:56.857 0 S
11 07:07.046 05:39.607 00:32.139 00:55.300 1 S
12 02:08.946 00:42.879 00:32.287 00:53.780 1 S
13 02:04.393 00:39.311 00:31.019 00:54.063 0 S
14 02:02.333 00:38.940 00:30.757 00:52.636 0 S