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 AMG 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 AMG 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 AMG 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 AMG 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 AMG 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 AMG 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