SRV Melbourne Layout GP (3xDRS)

20 Jan 22 18:50 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 Jean Ora HabAuchKeins STM BMW M4 2022 01:45.815
Tyre: S 		02:11.088 18 laps / 6 cuts
2 Dirk Wiedemann STM Mercedes C63 2022 01:53.132
Tyre: M 		02:10.397 9 laps / 2 cuts
3 Daniel Amann Horizont Personalmanagement Racing STM BMW M4 2022 01:53.247
Tyre: M 		02:52.929 22 laps / 6 cuts
4 Herbert Aeckerle Bayern Racing STM Mercedes C63 2022 01:57.708
Tyre: S 		01:59.111 15 laps / 7 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Herbert Aeckerle Collision with environment 23.9 X: -0.9 Y: -0.4 Z: 2.2 X: -648.8 Y: 2.8 Z: -414.5 14:41:29 (CET)
2 Daniel Amann Collision with environment 51.4 X: 0.7 Y: -0.4 Z: 2.3 X: -390.3 Y: 1.9 Z: 69.6 16:22:06 (CET)
3 Daniel Amann Collision with environment 37.5 X: -0.9 Y: -0.4 Z: 2.2 X: 279.0 Y: 2.5 Z: 681.2 16:30:26 (CET)
4 Daniel Amann Collision with environment 9.3 X: -0.9 Y: -0.4 Z: 2.2 X: -657.9 Y: 2.9 Z: -411.3 16:31:31 (CET)
5 Herbert Aeckerle Collision with environment 12.8 X: 1.0 Y: -0.4 Z: -1.0 X: 85.1 Y: 3.2 Z: -681.0 17:24:48 (CET)
6 Dirk Wiedemann Collision with environment 23.8 X: 0.8 Y: -0.0 Z: -2.4 X: -85.8 Y: 3.6 Z: -812.3 17:28:29 (CET)
7 Jean Ora Collision with environment 71.2 X: -0.9 Y: -0.4 Z: 2.2 X: 113.6 Y: 2.7 Z: 667.8 17:48:23 (CET)
8 Jean Ora Collision with environment 2.4 X: -1.0 Y: -0.4 Z: 1.8 X: 63.3 Y: 2.8 Z: 619.3 17:48:28 (CET)
9 Dirk Wiedemann Collision with environment 40.3 X: -0.7 Y: -0.4 Z: 2.3 X: 296.3 Y: 2.9 Z: 745.5 17:54:52 (CET)
10 Jean Ora Collision with environment 75.5 X: 0.4 Y: -0.2 Z: 2.2 X: -606.5 Y: 3.4 Z: -555.7 17:55:49 (CET)
11 Daniel Amann Collision with environment 41.7 X: -0.9 Y: -0.4 Z: 2.2 X: 637.3 Y: 3.1 Z: 816.6 18:03:12 (CET)
12 Daniel Amann Collision with environment 62.9 X: 0.9 Y: -0.4 Z: 2.1 X: -390.8 Y: 2.1 Z: 64.8 18:07:57 (CET)
13 Daniel Amann Collision with environment 40.8 X: -0.9 Y: -0.4 Z: 2.2 X: -654.8 Y: 2.9 Z: -412.4 18:10:42 (CET)
14 Daniel Amann Collision with environment 25.9 X: -0.9 Y: -0.4 Z: 2.2 X: 35.0 Y: 3.3 Z: -324.6 18:18:22 (CET)
15 Daniel Amann Collision with environment 17.1 X: 0.9 Y: -0.4 Z: 2.2 X: -18.0 Y: 3.3 Z: 537.9 18:18:37 (CET)
16 Daniel Amann Collision with environment 14.8 X: 0.9 Y: -0.4 Z: 2.2 X: -34.4 Y: 3.3 Z: 522.1 18:18:42 (CET)
17 Daniel Amann Collision with environment 21.2 X: 0.9 Y: -0.3 Z: 2.2 X: -96.8 Y: 3.4 Z: -827.5 18:25:57 (CET)
Car Env Rel
SRV Melbourne Layout GP (3xDRS) SRV Melbourne Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Jean Ora in STM BMW M4 2022
Best: 01:45.815, Potential: 01:45.805
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:03.195 02:46.389 00:28.561 00:48.245 1 M
2 01:47.855 00:34.290 00:26.837 00:46.728 0 M
3 01:48.587
C
00:33.806 00:26.771 00:48.010 1 M
4 01:46.981 00:33.689 00:26.713 00:46.579 0 M
5 01:46.480
C
00:33.755 00:26.389 00:46.336 1 M
6 01:47.182 00:33.738 00:26.712 00:46.732 0 M
7 05:04.876 03:49.784 00:27.802 00:47.290 0 S
8 01:46.431
C
00:33.544 00:26.518 00:46.369 1 S
9 01:48.108
C
00:33.574 00:27.976 00:46.558 1 S
10 03:07.884 01:52.157 00:28.567 00:47.160 0 S
11 01:47.167 00:34.159 00:26.626 00:46.382 0 S
12 01:46.232 00:33.517 00:26.613 00:46.102 0 S
13 01:46.072 00:33.419
S
S
00:26.532 00:46.121 0 S
14 01:48.757
C
00:35.034 00:27.198 00:46.525 1 S
15 04:29.380 03:14.766 00:27.778 00:46.836 0 S
16 01:46.313 00:33.711 00:26.388 00:46.214 0 S
17 01:45.815
L
L
00:33.429 00:26.307
S
S
00:46.079
S
S
0 S
18 05:49.167 04:34.399 00:28.215 00:46.553 0 S
2nd Dirk Wiedemann in STM Mercedes C63 2022
Best: 01:53.132, Potential: 01:53.082
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:44.159 02:23.682 00:29.708 00:50.769 1 M
2 03:13.984 01:53.717 00:29.071 00:51.196 0 M
3 01:57.995 00:37.144 00:28.490 00:52.361 0 M
4 02:18.057 00:57.498 00:29.150 00:51.409 1 M
5 01:55.294 00:36.742 00:28.606 00:49.946 0 M
6 02:23.105 00:36.204 00:27.868
S
01:19.033 0 M
7 01:55.423 00:37.128 00:28.534 00:49.761 0 M
8 01:53.846 00:36.064 00:28.093 00:49.689 0 M
9 01:53.132
L
00:36.002
S
00:27.918 00:49.212
S
0 M
3rd Daniel Amann in STM BMW M4 2022
Best: 01:53.247, Potential: 01:52.066
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:26.501 02:02.293 00:29.408 00:54.800 1 M
2 01:56.616 00:36.848 00:28.449 00:51.319 0 M
3 01:59.618 00:40.779 00:28.444 00:50.395 0 M
4 01:54.784
C
00:36.471 00:28.403 00:49.910 1 M
5 02:55.028 01:33.592 00:28.859 00:52.577 0 M
6 04:59.541 03:39.008 00:30.303 00:50.230 0 M
7 01:53.247
L
00:35.802 00:27.728 00:49.717 0 M
8 02:15.233 00:57.091 00:28.593 00:49.549 0 M
9 05:22.661 03:57.301 00:29.520 00:55.840 0 M
10 01:56.192
C
00:37.451 00:27.946 00:50.795 1 M
11 02:03.073 00:35.481
S
00:27.706
S
00:59.886 0 M
12 20:40.773 19:17.261 00:29.714 00:53.798 0 M
13 01:55.033
C
00:36.580 00:28.364 00:50.089 1 M
14 01:54.670
C
00:35.362 00:28.435 00:50.873 1 M
15 02:03.360
C
00:42.062 00:28.728 00:52.570 1 M
16 57:06.957 55:43.900 00:29.623 00:53.434 0 M
17 08:34.719 07:15.851 00:29.318 00:49.550 0 M
18 03:02.951 01:26.814 00:46.498 00:49.639 0 M
19 01:53.457 00:35.723 00:28.017 00:49.717 0 M
20 02:09.338 00:47.924 00:32.535 00:48.879
S
0 M
21 03:51.379 02:29.781 00:29.078 00:52.520 0 M
22 02:00.498 00:41.667 00:27.990 00:50.841 0 M
4th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:57.708, Potential: 01:57.361
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:47.410 01:22.036 00:31.518 00:53.856 1 S
2 01:59.219 00:37.895 00:29.304 00:52.020 0 S
3 02:04.319 00:38.842 00:30.578 00:54.899 1 S
4 02:00.634 00:39.171 00:29.745 00:51.718 1 S
5 03:13.587 01:47.348 00:32.176 00:54.063 1 S
6 02:00.838 00:38.767 00:30.105 00:51.966 0 S
7 01:58.257 00:37.715 00:29.827 00:50.715
S
0 S
8 01:59.542 00:37.849 00:29.642 00:52.051 0 S
9 01:57.708
L
00:37.441
S
00:29.354 00:50.913 0 S
10 01:58.957 00:37.916 00:29.205
S
00:51.836 0 S
11 01:59.669 00:37.716 00:29.438 00:52.515 0 S
12 03:30.714 02:00.214 00:33.966 00:56.534 1 S
13 02:07.637 00:41.733 00:32.462 00:53.442 1 S
14 02:02.889 00:38.752 00:30.182 00:53.955 1 S
15 01:58.701 00:37.971 00:29.267 00:51.463 0 S