SRV Melbourne Layout GP (3xDRS)

14 Jan 22 20:00 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 Micro-Machines Sim Racing II STM Mercedes AMG C63 2022 01:49.810
Tyre: S
02:18.035 17 laps / 5 cuts
2 STM BMW M4 2022 01:53.034
Tyre: S
02:07.708 9 laps / 3 cuts
3 STM Mercedes AMG C63 2022 01:55.860
Tyre: M
02:37.956 7 laps / 2 cuts
4 Horizont Personalmanagement Racing STM BMW M4 2022 02:07.304
Tyre: M
02:33.867 13 laps / 3 cuts
5 Bayern Racing STM Mercedes AMG C63 2022 02:20.223
Tyre: M
02:40.258 14 laps / 3 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 50.8 X: 0.8 Y: -0.3 Z: -2.4 X: 349.1 Y: 3.1 Z: 660.1 15:43:40 (CET)
2 Collision with environment 32.6 X: -0.9 Y: -0.4 Z: 2.2 X: 49.7 Y: 3.5 Z: -373.2 15:46:50 (CET)
3 Collision with environment 4.9 X: -1.0 Y: -0.4 Z: -1.0 X: 33.5 Y: 3.4 Z: -316.0 16:13:45 (CET)
4 Collision with environment 3.5 X: -0.9 Y: -0.4 Z: -1.9 X: 34.6 Y: 3.4 Z: -322.6 16:32:26 (CET)
5 Collision with environment 33.8 X: -0.9 Y: -0.4 Z: 2.2 X: 40.7 Y: 3.4 Z: -352.9 16:36:06 (CET)
6 Collision with environment 52.8 X: -0.9 Y: -0.4 Z: 2.2 X: -641.4 Y: 2.8 Z: -416.9 16:39:01 (CET)
7 Collision with environment 25.9 X: -0.9 Y: -0.4 Z: 2.2 X: -345.2 Y: 2.7 Z: 150.7 17:27:24 (CET)
8 Collision with environment 15.7 X: 0.8 Y: -0.3 Z: -2.4 X: 751.4 Y: 3.9 Z: 817.9 19:33:06 (CET)
9 Collision with environment 9.6 X: -0.9 Y: -0.4 Z: 2.2 X: -347.5 Y: 2.8 Z: 131.2 19:33:54 (CET)
10 Collision with environment 21.3 X: 0.8 Y: -0.3 Z: -2.4 X: -226.9 Y: 3.3 Z: -903.1 19:36:38 (CET)
11 Collision with environment 14.1 X: -0.7 Y: -0.4 Z: 2.3 X: 25.8 Y: 3.2 Z: -269.1 19:37:11 (CET)
12 Collision with environment 9.1 X: 0.8 Y: -0.0 Z: -2.4 X: 321.8 Y: 3.1 Z: 726.6 19:39:12 (CET)
13 Collision with environment 8.1 X: 1.0 Y: -0.4 Z: 1.8 X: 752.1 Y: 3.7 Z: 824.6 19:49:46 (CET)
14 Collision with environment 45.8 X: -0.7 Y: -0.4 Z: 2.3 X: 649.1 Y: 3.1 Z: 811.2 19:51:58 (CET)
15 Collision with environment 14.3 X: 0.8 Y: -0.0 Z: -2.4 X: 635.7 Y: 3.5 Z: 817.3 19:52:03 (CET)
16 Collision with environment 27.7 X: -1.0 Y: -0.4 Z: 1.8 X: -406.5 Y: 3.1 Z: 8.2 19:52:56 (CET)
17 Collision with environment 47.0 X: -0.9 Y: -0.4 Z: 2.2 X: -653.7 Y: 2.9 Z: -412.7 19:53:11 (CET)
18 Collision with environment 24.4 X: 0.8 Y: -0.3 Z: -2.4 X: 303.1 Y: 3.1 Z: 741.1 19:54:08 (CET)
19 Collision with environment 8.5 X: 1.0 Y: -0.4 Z: 1.1 X: 753.2 Y: 3.7 Z: 833.6 19:54:36 (CET)
20 Collision with environment 39.3 X: -0.9 Y: 0.1 Z: -1.8 X: -658.5 Y: 3.3 Z: -411.1 19:55:51 (CET)
Car Env Rel
SRV Melbourne Layout GP (3xDRS) SRV Melbourne Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Holger Heller in STM Mercedes AMG C63 2022
Best: 01:49.810, Potential: 01:49.323
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:31.852 05:15.086 00:27.883 00:48.883 1 S
2 03:11.823 01:55.782 00:27.720 00:48.321 0 S
3 01:52.662
C
00:35.689 00:27.914 00:49.059 1 S
4 01:51.167 00:35.167 00:27.378 00:48.622 0 S
5 19:57.574 18:41.249 00:27.432 00:48.893 0 S
6 01:51.938 00:35.358 00:27.531 00:49.049 0 S
7 01:50.257 00:34.886 00:27.109 00:48.262 0 S
8 01:51.561 00:36.078 00:27.256 00:48.227 0 S
9 01:51.455
C
00:35.248 00:28.193 00:48.014 1 S
10 03:49.881 02:33.209 00:28.440 00:48.232 0 S
11 01:51.851 00:34.528
S
S
00:27.216 00:50.107 0 S
12 01:51.121 00:35.206 00:27.261 00:48.654 0 S
13 01:49.810
L
L
00:34.660 00:26.874
S
S
00:48.276 0 S
14 01:51.957
C
00:34.790 00:26.928 00:50.239 1 S
15 01:50.565
C
00:34.901 00:27.446 00:48.218 1 S
16 01:50.430 00:34.541 00:27.671 00:48.218 0 S
17 03:28.548 02:12.938 00:27.689 00:47.921
S
S
0 S
2nd Benedikt Hoepfer in STM BMW M4 2022
Best: 01:53.034, Potential: 01:52.123
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:13.303 01:33.569 00:29.214 01:10.520 1 S
2 01:54.008 00:36.626 00:28.485 00:48.897 0 S
3 01:54.154
C
00:36.623 00:28.665 00:48.866 1 S
4 02:03.764 00:36.154 00:28.417 00:59.193 0 S
5 01:53.034
L
00:36.299 00:27.748
S
00:48.987 0 S
6 03:07.186 01:49.345 00:28.444 00:49.397 0 S
7 02:12.350 00:35.655 00:27.881 01:08.814 1 S
8 01:54.456 00:36.282 00:28.034 00:50.140 0 S
9 01:53.805 00:35.712
S
00:29.430 00:48.663
S
0 S
3rd Dirk Wiedemann in STM Mercedes AMG C63 2022
Best: 01:55.860, Potential: 01:55.604
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:17.879 01:47.407 00:30.312 01:00.160 1 M
2 02:00.710 00:38.896 00:29.385 00:52.429 0 M
3 05:01.948 03:40.048 00:29.201 00:52.699 0 M
4 02:29.990
C
00:37.139 00:30.915 01:21.936 1 M
5 02:14.220 00:37.627 00:28.242
S
01:08.351 0 M
6 01:57.044 00:37.340
S
00:28.738 00:50.966 0 M
7 01:55.860
L
00:37.393 00:28.445 00:50.022
S
0 M
4th Daniel Amann in STM BMW M4 2022
Best: 02:07.304, Potential: 02:05.815
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:50.613 02:06.644 00:38.448 01:05.521 1 M
2 02:16.115 00:42.556 00:35.050 00:58.509 0 M
3 02:17.351 00:49.151 00:31.226 00:56.974 0 M
4 04:03.605 02:14.296 00:47.767 01:01.542 0 M
5 02:09.153 00:40.880 00:31.307 00:56.966 0 M
6 02:07.304
L
00:39.942
S
00:30.478 00:56.884
S
0 M
7 08:04.293 06:27.849 00:36.116 01:00.328 0 M
8 07:37.591 05:55.293 00:30.149 01:12.149 0 M
9 02:11.451
C
00:41.936 00:30.808 00:58.707 1 M
10 02:16.408 00:42.821 00:29.772 01:03.815 0 M
11 02:40.215 00:41.032 00:30.109 01:29.074 0 M
12 02:10.464
C
00:38.578 00:30.082 01:01.804 1 M
13 02:40.785 00:43.029 00:28.989
S
01:28.767 0 M
5th Herbert Aeckerle in STM Mercedes AMG C63 2022
Best: 02:20.223, Potential: 02:18.802
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:36.914 01:48.262 00:42.296 01:06.356 1 M
2 02:42.952 00:55.726 00:38.363 01:08.863 0 M
3 02:39.423 00:52.430 00:41.760 01:05.233 0 M
4 03:42.242 02:03.422 00:37.945 01:00.875 1 M
5 02:32.112 00:47.401 00:39.173 01:05.538 0 M
6 02:32.707 00:50.683 00:39.852 01:02.172 0 M
7 02:39.171 00:51.913 00:45.256 01:02.002 0 M
8 02:55.729 00:45.800 01:04.661 01:05.268 0 M
9 02:47.388 00:53.547 00:43.551 01:10.290 0 M
10 02:41.243 00:52.371 00:39.672 01:09.200 0 M
11 02:41.417 00:48.575 00:42.557 01:10.285 0 M
12 02:35.180
C
00:47.856 00:46.241 01:01.083 1 M
13 02:20.223
L
00:43.697 00:36.172 01:00.354
S
0 M
14 02:50.478 00:43.560
S
00:34.888
S
01:32.030 0 M