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 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 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 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 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