SRV Melbourne Layout GP (3xDRS)

24 Jan 22 17:56 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 BMS Racing STM Mercedes C63 2022 01:46.031
Tyre: S
01:52.909 13 laps / 3 cuts
2 HabAuchKeins STM BMW M4 2022 01:46.723
Tyre: S
01:47.389 4 laps / 2 cuts
3 Horizont Personalmanagement Racing STM Audi RS5 2022 01:48.289
Tyre: S
01:49.694 9 laps / 1 cuts
4 HW Performance STM Mercedes C63 2022 01:50.715
Tyre: S
02:06.346 27 laps / 7 cuts
5 Horizont Personalmanagement Racing STM BMW M4 2022 01:52.901
Tyre: S
04:12.079 12 laps / 5 cuts
6 Bayern Racing STM Mercedes C63 2022 01:59.285
Tyre: S
02:03.721 7 laps / 1 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 34.4 X: -0.7 Y: -0.4 Z: 2.3 X: -632.5 Y: 2.7 Z: -419.8 13:41:58 (CET)
2 Collision with environment 29.7 X: 0.7 Y: -0.4 Z: 2.3 X: -651.1 Y: 2.9 Z: -413.7 13:47:08 (CET)
3 Collision with environment 40.4 X: -0.9 Y: -0.4 Z: 2.2 X: 51.9 Y: 3.6 Z: -376.9 14:05:14 (CET)
4 Collision with environment 43.9 X: 0.9 Y: -0.4 Z: 2.2 X: 298.2 Y: 3.0 Z: 744.3 14:08:00 (CET)
5 Collision with environment 17.4 X: 0.7 Y: -0.4 Z: 2.3 X: 670.5 Y: 3.2 Z: 803.8 14:17:00 (CET)
6 Collision with environment 52.5 X: -0.9 Y: -0.4 Z: 2.2 X: -151.9 Y: 3.2 Z: -817.6 14:22:19 (CET)
7 Collision with environment 23.0 X: -0.0 Y: -0.4 Z: 2.4 X: 620.5 Y: 3.0 Z: 824.6 14:33:54 (CET)
8 Collision with environment 6.5 X: 0.8 Y: -0.3 Z: -2.4 X: 614.4 Y: 3.5 Z: 847.4 14:33:59 (CET)
9 Collision with environment 12.1 X: -0.9 Y: -0.4 Z: 2.2 X: 600.1 Y: 3.0 Z: 834.4 14:34:09 (CET)
10 Collision with environment 4.2 X: -1.0 Y: -0.4 Z: 1.8 X: -45.7 Y: 3.0 Z: 493.4 14:34:44 (CET)
11 Collision with environment 44.6 X: -0.7 Y: -0.4 Z: 2.3 X: 58.3 Y: 3.7 Z: -387.3 15:40:17 (CET)
12 Collision with environment 61.2 X: -0.9 Y: -0.4 Z: 2.2 X: 480.5 Y: 2.7 Z: 318.0 16:40:40 (CET)
13 Collision with environment 24.8 X: -0.9 Y: -0.4 Z: 2.2 X: -348.6 Y: 2.7 Z: 123.5 16:47:00 (CET)
14 Collision with environment 10.6 X: 0.9 Y: -0.4 Z: 2.2 X: 50.2 Y: 2.8 Z: -305.7 16:53:05 (CET)
15 Collision with environment 11.1 X: 1.0 Y: -0.4 Z: 1.8 X: -553.5 Y: 4.2 Z: -722.8 16:54:05 (CET)
16 Collision with environment 50.0 X: 0.7 Y: -0.4 Z: 2.3 X: -351.2 Y: 2.7 Z: 100.3 16:54:40 (CET)
17 Collision with environment 9.4 X: 0.7 Y: -0.4 Z: 2.3 X: 66.6 Y: 3.8 Z: -399.3 16:58:05 (CET)
18 Collision with environment 31.7 X: 0.8 Y: -0.3 Z: -2.4 X: 607.6 Y: 3.4 Z: 848.6 17:03:55 (CET)
19 Collision with environment 28.9 X: 0.7 Y: -0.4 Z: 2.3 X: 603.0 Y: 3.0 Z: 833.1 17:04:00 (CET)
20 Collision with environment 9.5 X: -0.0 Y: -0.4 Z: 2.4 X: 603.6 Y: 3.0 Z: 832.8 17:04:05 (CET)
21 Collision with environment 39.7 X: 0.8 Y: -0.3 Z: -2.4 X: 610.5 Y: 3.4 Z: 848.1 17:04:10 (CET)
22 Collision with environment 49.6 X: 0.7 Y: -0.4 Z: 2.3 X: -719.8 Y: 3.8 Z: -450.8 17:05:45 (CET)
23 Collision with environment 28.5 X: 0.9 Y: -0.4 Z: -1.9 X: 294.5 Y: 2.9 Z: 746.7 17:11:40 (CET)
24 Collision with environment 87.5 X: 1.0 Y: -0.4 Z: -0.9 X: 193.0 Y: 2.3 Z: 741.6 17:11:45 (CET)
25 Collision with environment 47.8 X: -0.7 Y: -0.4 Z: 2.2 X: 27.1 Y: 3.0 Z: 563.4 17:11:55 (CET)
26 Collision with environment 33.2 X: -1.0 Y: -0.4 Z: 1.8 X: -17.1 Y: 3.0 Z: 520.9 17:12:00 (CET)
27 Collision with environment 38.6 X: -0.9 Y: -0.3 Z: 2.2 X: 64.2 Y: 3.9 Z: -395.8 17:15:20 (CET)
28 Collision with environment 7.9 X: 1.0 Y: -0.4 Z: 1.8 X: -58.0 Y: 3.1 Z: 499.3 17:38:43 (CET)
Car Env Rel
SRV Melbourne Layout GP (3xDRS) SRV Melbourne Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Fred Dohnke in STM Mercedes C63 2022
Best: 01:46.031, Potential: 01:45.826
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:42.807 01:26.577 00:27.782 00:48.448 1 M
2 01:47.356 00:34.411 00:26.537 00:46.408 0 M
3 01:46.890 00:33.836 00:26.654 00:46.400 0 M
4 03:45.314 02:27.910 00:29.961 00:47.443 0 S
5 01:47.228 00:34.261 00:26.753 00:46.214 0 S
6 01:47.363 00:34.085 00:26.560 00:46.718 0 S
7 02:35.604 01:21.556 00:27.320 00:46.728 0 S
8 01:46.776
C
00:33.844 00:26.527 00:46.405 1 S
9 01:46.532 00:33.920 00:26.443 00:46.169 0 S
10 04:20.278 03:05.722 00:27.787 00:46.769 0 S
11 01:47.322
C
00:34.021 00:26.825 00:46.476 1 S
12 01:46.271 00:33.498
S
S
00:26.604 00:46.169 0 S
13 01:46.031
L
L
00:33.703 00:26.217
S
S
00:46.111
S
S
0 S
2nd Jens Bauer in STM BMW M4 2022
Best: 01:46.723, Potential: 01:46.723
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:45.805 03:30.556 00:27.734 00:47.515 1 S
2 01:46.723
L
00:33.832
S
00:26.393
S
00:46.498
S
0 S
3 01:48.055 00:34.565 00:26.892 00:46.598 0 S
4 01:46.835
C
00:33.648 00:26.892 00:46.295 1 S
3rd Thomas Kneissler in STM Audi RS5 2022
Best: 01:48.289, Potential: 01:48.171
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:16.360 03:58.717 00:28.786 00:48.857 1 S
2 01:50.652 00:35.123 00:27.581 00:47.948 0 S
3 01:49.781 00:34.911 00:27.454 00:47.416 0 S
4 01:48.637 00:34.472 00:26.938
S
00:47.227 0 S
5 01:48.289
L
00:34.250 00:26.991 00:47.048
S
0 S
6 01:48.824 00:34.291 00:27.171 00:47.362 0 S
7 01:48.696 00:34.185
S
00:27.180 00:47.331 0 S
8 01:49.759 00:34.334 00:27.108 00:48.317 0 S
9 01:52.919 00:34.746 00:28.318 00:49.855 0 S
4th Dirk Wiedemann in STM Mercedes C63 2022
Best: 01:50.715, Potential: 01:50.254
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:20.433 00:58.222 00:30.739 00:51.472 1 M
2 01:56.469 00:37.795 00:28.508 00:50.166 0 M
3 01:54.470 00:36.265 00:28.305 00:49.900 0 M
4 01:55.670
C
00:36.227 00:29.331 00:50.112 1 M
5 03:19.155 01:56.269 00:29.416 00:53.470 0 M
6 01:54.624 00:36.256 00:28.660 00:49.708 0 M
7 01:54.084 00:36.107 00:28.193 00:49.784 0 M
8 01:54.803
C
00:36.350 00:28.548 00:49.905 1 M
9 01:52.772 00:36.011 00:27.955 00:48.806 0 M
10 01:52.777 00:36.083 00:27.797 00:48.897 0 M
11 01:52.204 00:35.574 00:27.747 00:48.883 0 M
12 01:51.839 00:35.610 00:27.351 00:48.878 0 M
13 03:16.612 01:58.605 00:28.647 00:49.360 0 S
14 01:50.715
L
00:35.348 00:27.077
S
00:48.290
S
0 S
15 17:32.945 16:15.105 00:28.961 00:48.879 0 S
16 01:58.001 00:35.580 00:33.696 00:48.725 0 S
17 01:52.601 00:35.930 00:27.496 00:49.175 0 S
18 01:52.327 00:35.463 00:27.819 00:49.045 0 S
19 02:14.146 00:57.250 00:27.828 00:49.068 0 S
20 01:51.687 00:35.483 00:27.711 00:48.493 0 S
21 01:50.879
C
00:35.153 00:27.149 00:48.577 1 S
22 01:50.986 00:34.887
S
00:27.494 00:48.605 0 S
23 03:49.038 02:27.628 00:31.432 00:49.978 0 M
24 10:15.563 08:11.094 00:29.250 01:35.219 0 M
25 03:14.668 00:46.767 00:50.661 01:37.240 1 M
26 02:31.016 00:44.713 00:28.503 01:17.800 1 M
27 02:37.822 00:42.077 00:37.936 01:17.809 1 M
5th Daniel Amann in STM BMW M4 2022
Best: 01:52.901, Potential: 01:50.512
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:51.645
C
01:33.209 00:29.552 00:48.884 1 S
2 57:06.445 55:48.636 00:28.988 00:48.821 1 S
3 03:40.046 02:20.158 00:29.488 00:50.400 0 S
4 01:54.069
C
00:35.219 00:27.351 00:51.499 1 S
5 01:52.823
C
00:36.647 00:27.266 00:48.910 1 S
6 05:13.778 03:55.155 00:28.808 00:49.815 0 S
7 05:02.947 03:40.165 00:29.885 00:52.897 0 S
8 03:22.798 02:00.732 00:31.527 00:50.539 0 S
9 01:52.901
L
00:34.773
S
00:30.276 00:47.852
S
0 S
10 05:43.452 04:23.424 00:28.475 00:51.553 0 S
11 01:51.959
C
00:35.631 00:27.391 00:48.937 1 S
12 04:28.635 03:12.368 00:27.887
S
00:48.380 0 S
6th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:59.285, Potential: 01:58.690
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 17:12.314 15:37.855 00:38.155 00:56.304 1 S
2 02:12.186 00:40.070 00:32.639 00:59.477 0 S
3 02:01.900 00:38.843 00:30.330 00:52.727 0 S
4 02:01.803 00:38.066 00:30.141 00:53.596 0 S
5 01:59.285
L
00:37.844
S
00:29.710 00:51.731
S
0 S
6 02:04.157 00:39.261 00:29.115
S
00:55.781 0 S
7 02:02.996 00:38.815 00:30.011 00:54.170 0 S