SRV Salzburgring Layout GP (3xDRS)

31 Mar 22 16:10 CEST
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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 Ping
1 Bayern Racing STM Mercedes AMG C63 2022 01:19.448
Tyre: S
01:21.539 10 laps / 1 cuts 9 - 140
2 Horizont Personalmanagement Racing STM BMW M4 2022 01:19.503
Tyre: S
01:22.156 10 laps / 4 cuts 7 - 21
3 HW Performance STM Mercedes AMG C63 2022 01:21.496
Tyre: M
01:21.496 3 laps / 2 cuts 17 - 28
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 66.4 X: -0.7 Y: -0.3 Z: 2.3 X: -507.3 Y: 22.1 Z: 99.3 13:58:56 (CEST)
2 Collision with environment 61.1 X: -0.9 Y: -0.3 Z: 2.2 X: -120.0 Y: 22.4 Z: 13.6 14:04:26 (CEST)
3 Collision with environment 21.0 X: -0.7 Y: -0.3 Z: 2.3 X: -134.7 Y: 22.4 Z: 17.4 14:04:31 (CEST)
4 Collision with environment 18.9 X: -0.9 Y: -0.3 Z: 2.2 X: -563.0 Y: 21.7 Z: 89.4 14:10:36 (CEST)
5 Collision with environment 0.2 X: -0.9 Y: -0.3 Z: 2.1 X: -566.2 Y: 21.7 Z: 89.6 14:10:41 (CEST)
6 Collision with environment 18.1 X: -0.5 Y: -0.3 Z: 2.3 X: -523.1 Y: 22.3 Z: 102.2 14:12:16 (CEST)
7 Collision with environment 51.7 X: -0.9 Y: -0.3 Z: 2.1 X: -625.8 Y: 21.5 Z: 84.3 14:22:01 (CEST)
8 Collision with environment 46.9 X: -0.9 Y: -0.3 Z: 2.1 X: 514.6 Y: 21.9 Z: -73.5 15:09:12 (CEST)
9 Collision with environment 105.1 X: 0.2 Y: -0.3 Z: 2.3 X: -503.7 Y: 22.0 Z: 98.7 15:09:32 (CEST)
10 Collision with environment 30.7 X: 0.0 Y: -0.3 Z: 2.4 X: -565.5 Y: 22.3 Z: 122.8 15:42:47 (CEST)
Car Env Rel
SRV Salzburgring Layout GP (3xDRS) SRV Salzburgring Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Herbert Aeckerle in STM Mercedes AMG C63 2022
Best: 01:19.448, Potential: 01:19.444
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:04.300 01:11.627 00:21.979 00:30.694 1 S
2 01:22.329 00:33.414 00:20.933 00:27.982 0 S
3 01:21.283 00:33.673 00:20.875 00:26.735 0 S
4 01:27.940 00:38.152 00:20.974 00:28.814 0 S
5 01:21.573 00:33.863 00:21.016 00:26.694 0 S
6 01:20.163 00:32.886 00:20.762 00:26.515 0 S
7 01:20.275 00:32.939 00:20.755 00:26.581 0 S
8 01:20.326 00:32.770 00:20.718 00:26.838 0 S
9 01:19.448
L
L
00:32.666
S
00:20.673 00:26.109
S
S
0 S
10 01:20.517 00:32.803 00:20.669
S
00:27.045 0 S
2nd Daniel Amann in STM BMW M4 2022
Best: 01:19.503, Potential: 01:19.449
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:52.904 02:00.421 00:22.261 00:30.222 1 S
2 01:26.601 00:33.757 00:20.934 00:31.910 0 S
3 01:20.955 00:32.201 00:20.800 00:27.954 0 S
4 02:47.701 01:58.152 00:21.176 00:28.373 1 S
5 02:19.496 01:30.168 00:21.185 00:28.143 1 S
6 01:20.305 00:32.087 00:20.602
S
S
00:27.616 0 S
7 01:25.672 00:36.483 00:20.686 00:28.503 0 S
8 01:19.503
L
00:31.973
S
S
00:20.602
S
S
00:26.928 0 S
9 04:41.457 03:50.994 00:20.853 00:29.610 1 S
10 01:19.902 00:32.256 00:20.772 00:26.874
S
0 S
3rd Dirk Wiedemann in STM Mercedes AMG C63 2022
Best: 01:21.496, Potential: 01:21.496
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 01:40.252 00:49.928 00:23.081 00:27.243 1 M
2 01:21.496
L
00:33.274
S
00:21.384
S
00:26.838
S
0 M
3 01:22.311 00:31.659 00:21.415 00:29.237 1 M