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 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 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 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 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 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 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