SRV Salzburgring Layout GP (3xDRS)

04 Apr 22 19:46 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 SRV Jägermeister eSport II STM Audi RS5 2022 01:12.589
Tyre: S
01:13.996 30 laps / 6 cuts 17 - 155
2 BMS Racing STM Mercedes C63 2022 01:13.071
Tyre: S
01:14.374 38 laps / 16 cuts 14 - 28
3 BMS Racing STM Mercedes C63 2022 01:13.421
Tyre: S
01:14.222 40 laps / 18 cuts 18 - 28
4 Stiftung Plankentest II STM Audi RS5 2022 01:13.647
Tyre: S
01:16.456 29 laps / 6 cuts 6 - 17
5 SRV Jägermeister eSport II STM Audi RS5 2022 01:13.742
Tyre: S
01:14.254 11 laps / 2 cuts 7 - 150
6 Stiftung Plankentest II STM BMW M4 2022 01:13.776
Tyre: S
01:14.468 64 laps / 7 cuts 3 - 140
7 Stiftung Plankentest I STM Audi RS5 2022 01:13.832
Tyre: S
01:17.350 36 laps / 6 cuts 16 - 63
8 Horizont Personalmanagement Racing STM Audi RS5 2022 01:14.834
Tyre: S
01:17.898 36 laps / 9 cuts 17 - 46
9 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:14.904
Tyre: S
01:18.008 17 laps / 2 cuts 13 - 17
10 SRV Jägermeister eSport I STM Audi RS5 2022 01:15.114
Tyre: S
01:16.354 29 laps / 15 cuts 13 - 22
11 CT Motorsport STM Mercedes C63 2022 01:15.780
Tyre: M
01:16.489 13 laps / 3 cuts 17 - 33
12 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:16.492
Tyre: M
01:19.170 25 laps / 2 cuts 16 - 3221
13 Horizont Personalmanagement Racing STM BMW M4 2022 01:17.081
Tyre: M
01:20.878 22 laps / 8 cuts 7 - 22
14 Bayern Racing STM Mercedes C63 2022 01:19.572
Tyre: S
01:21.418 9 laps / 2 cuts 6 - 1517
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 104.3 X: 0.6 Y: -0.4 Z: 2.3 X: -500.0 Y: 22.1 Z: 97.5 14:48:36 (CEST)
2 Collision with environment 72.8 X: 0.9 Y: -0.4 Z: 2.1 X: -614.8 Y: 22.5 Z: 110.1 14:53:31 (CEST)
3 Collision with environment 105.1 X: 0.9 Y: -0.4 Z: 2.1 X: -499.8 Y: 22.1 Z: 97.8 16:38:36 (CEST)
4 Collision with environment 13.8 X: 0.7 Y: -0.2 Z: 2.3 X: -506.8 Y: 21.9 Z: 81.2 16:43:20 (CEST)
5 Collision with environment 61.5 X: -0.9 Y: -0.4 Z: 2.2 X: -123.9 Y: 22.4 Z: 14.6 16:44:31 (CEST)
6 Collision with environment 27.6 X: -1.0 Y: -0.3 Z: 1.8 X: -148.8 Y: 22.4 Z: 21.1 16:44:36 (CEST)
7 Collision with environment 42.0 X: 1.0 Y: -0.4 Z: 1.7 X: -500.0 Y: 22.0 Z: 97.5 16:46:21 (CEST)
8 Collision with environment 47.3 X: -0.9 Y: -0.3 Z: 2.1 X: -537.4 Y: 21.8 Z: 86.7 16:46:26 (CEST)
9 Collision with environment 30.4 X: -1.0 Y: -0.2 Z: 1.8 X: -699.3 Y: 22.5 Z: 60.4 16:47:45 (CEST)
10 Collision with environment 97.0 X: 0.9 Y: -0.4 Z: 2.2 X: -500.0 Y: 22.1 Z: 97.5 16:54:26 (CEST)
11 Collision with environment 116.6 X: 0.7 Y: -0.4 Z: 2.3 X: -499.9 Y: 22.2 Z: 97.7 16:56:35 (CEST)
12 Collision with environment 35.6 X: -1.0 Y: -0.3 Z: 1.8 X: -555.9 Y: 21.7 Z: 89.1 17:03:55 (CEST)
13 Collision with environment 48.7 X: 0.9 Y: -0.3 Z: 2.1 X: -1003.1 Y: 24.3 Z: 7.2 17:18:40 (CEST)
14 Collision with environment 55.1 X: -0.9 Y: -0.3 Z: 1.8 X: -531.4 Y: 21.8 Z: 85.7 17:38:05 (CEST)
15 Collision with environment 72.1 X: 0.7 Y: -0.3 Z: 2.3 X: -593.2 Y: 22.4 Z: 116.0 17:38:10 (CEST)
16 Collision with environment 13.9 X: -1.0 Y: -0.3 Z: 1.8 X: -631.8 Y: 21.5 Z: 82.8 17:43:20 (CEST)
17 Collision with environment 98.3 X: -0.9 Y: -0.4 Z: 2.1 X: -519.9 Y: 21.8 Z: 83.4 17:45:10 (CEST)
18 Collision with environment 70.0 X: -0.9 Y: -0.2 Z: 2.1 X: -538.1 Y: 21.8 Z: 86.8 18:01:27 (CEST)
19 Collision with environment 74.9 X: -0.4 Y: -0.1 Z: 2.3 X: -499.9 Y: 22.1 Z: 97.9 18:03:37 (CEST)
20 Collision with environment 5.3 X: 0.8 Y: 0.0 Z: -2.4 X: -648.2 Y: 22.5 Z: 98.7 18:17:42 (CEST)
21 Collision with environment 32.8 X: -0.9 Y: -0.3 Z: 2.2 X: -670.0 Y: 21.9 Z: 91.1 18:23:40 (CEST)
22 Collision with environment 99.2 X: 0.9 Y: -0.4 Z: 2.2 X: -500.0 Y: 22.1 Z: 97.5 18:29:10 (CEST)
23 Collision with environment 27.1 X: 0.8 Y: -0.3 Z: -2.4 X: 90.9 Y: 22.5 Z: -63.7 18:31:00 (CEST)
24 Collision with environment 40.8 X: 0.8 Y: -0.3 Z: -2.4 X: 93.3 Y: 22.5 Z: -64.3 18:36:25 (CEST)
25 Collision with environment 15.8 X: -0.9 Y: -0.3 Z: 2.1 X: -609.7 Y: 21.4 Z: 87.8 18:39:28 (CEST)
26 Collision with environment 20.9 X: 0.9 Y: -0.3 Z: 0.2 X: -840.4 Y: 21.2 Z: -76.7 18:41:05 (CEST)
27 Collision with environment 37.3 X: -1.0 Y: -0.3 Z: 1.8 X: -733.7 Y: 20.8 Z: -4.8 18:41:10 (CEST)
28 Collision with environment 36.1 X: -0.9 Y: -0.3 Z: 1.8 X: -682.0 Y: 22.3 Z: 66.3 18:47:42 (CEST)
29 Collision with environment 37.5 X: 1.0 Y: -0.2 Z: 1.8 X: -500.1 Y: 22.2 Z: 97.4 18:52:40 (CEST)
30 Collision with environment 74.3 X: -0.9 Y: -0.3 Z: 2.2 X: -537.1 Y: 21.8 Z: 86.6 18:52:45 (CEST)
31 Collision with environment 4.6 X: -0.8 Y: -0.2 Z: -2.4 X: -505.0 Y: 22.3 Z: 127.6 18:55:42 (CEST)
32 Collision with environment 47.1 X: -0.6 Y: -0.3 Z: 2.3 X: -121.5 Y: 22.4 Z: 14.0 18:58:04 (CEST)
33 Collision with environment 26.1 X: 1.0 Y: -0.3 Z: 1.4 X: -499.9 Y: 22.2 Z: 97.7 18:58:34 (CEST)
34 Collision with environment 57.0 X: -0.9 Y: -0.3 Z: 2.2 X: -562.3 Y: 21.7 Z: 89.4 18:58:39 (CEST)
35 Collision with environment 45.4 X: 1.0 Y: -0.3 Z: 1.8 X: -500.0 Y: 22.2 Z: 97.6 18:58:50 (CEST)
36 Collision with environment 84.0 X: -0.9 Y: -0.3 Z: 2.2 X: -547.3 Y: 21.8 Z: 88.3 18:58:55 (CEST)
37 Collision with environment 77.4 X: -0.9 Y: -0.3 Z: 2.1 X: -513.4 Y: 21.9 Z: 82.2 19:01:10 (CEST)
38 Collision with car 51.2 X: 0.9 Y: -0.3 Z: 2.1 X: 463.0 Y: 21.9 Z: -89.1 19:01:29 (CEST)
39 Collision with environment 88.7 X: -0.9 Y: -0.3 Z: 2.1 X: 399.6 Y: 22.6 Z: -114.6 19:01:34 (CEST)
40 Collision with environment 45.3 X: 0.9 Y: -0.3 Z: 1.8 X: -649.1 Y: 22.2 Z: 98.4 19:04:49 (CEST)
41 Collision with environment 46.7 X: -0.9 Y: -0.3 Z: 2.1 X: -509.4 Y: 21.9 Z: 81.5 19:05:25 (CEST)
42 Collision with environment 122.6 X: 0.9 Y: -0.3 Z: 2.1 X: 656.7 Y: 34.3 Z: -200.3 19:05:45 (CEST)
43 Collision with environment 9.4 X: 0.7 Y: -0.3 Z: 2.3 X: -495.9 Y: 21.9 Z: 80.0 19:09:30 (CEST)
44 Collision with environment 17.1 X: -0.7 Y: -0.3 Z: 2.3 X: -501.9 Y: 21.9 Z: 80.5 19:09:40 (CEST)
45 Collision with environment 5.7 X: -0.7 Y: -0.3 Z: 2.3 X: -501.9 Y: 21.9 Z: 80.5 19:09:45 (CEST)
46 Collision with environment 0.4 X: 0.9 Y: -0.4 Z: 2.2 X: 78.0 Y: 22.4 Z: -37.9 19:09:55 (CEST)
47 Collision with environment 58.1 X: -0.9 Y: -0.2 Z: 2.1 X: -539.4 Y: 21.8 Z: 87.1 19:09:59 (CEST)
48 Collision with environment 142.0 X: -0.9 Y: -0.3 Z: 2.2 X: 759.8 Y: 28.1 Z: -45.2 19:12:20 (CEST)
49 Collision with environment 68.0 X: -0.8 Y: -0.2 Z: -2.4 X: 765.2 Y: 27.8 Z: -26.2 19:12:25 (CEST)
50 Collision with environment 157.9 X: -0.7 Y: -0.4 Z: 2.3 X: 766.1 Y: 27.7 Z: -24.1 19:15:25 (CEST)
51 Collision with environment 11.8 X: -0.9 Y: -0.1 Z: -1.3 X: 314.6 Y: 22.6 Z: -94.7 19:19:44 (CEST)
52 Collision with environment 99.7 X: -0.9 Y: -0.3 Z: 2.1 X: -650.0 Y: 21.7 Z: 77.1 19:21:03 (CEST)
53 Collision with environment 29.1 X: -0.8 Y: 0.0 Z: -2.4 X: -715.4 Y: 21.6 Z: 76.1 19:21:08 (CEST)
54 Collision with environment 72.1 X: -0.9 Y: -0.3 Z: 2.2 X: -925.3 Y: 19.7 Z: -79.2 19:22:01 (CEST)
55 Collision with environment 16.0 X: -0.9 Y: 0.3 Z: 1.6 X: -904.7 Y: 20.4 Z: -77.5 19:22:06 (CEST)
56 Collision with environment 2.5 X: 1.0 Y: -0.4 Z: 1.8 X: 69.6 Y: 22.4 Z: -35.9 19:22:31 (CEST)
57 Collision with environment 24.0 X: 0.9 Y: -0.3 Z: 2.2 X: -84.5 Y: 21.9 Z: 22.1 19:22:36 (CEST)
58 Collision with environment 96.4 X: 0.9 Y: -0.3 Z: 2.1 X: -500.0 Y: 22.2 Z: 97.5 19:23:08 (CEST)
59 Collision with environment 40.2 X: 0.9 Y: -0.3 Z: 2.1 X: -625.4 Y: 22.5 Z: 106.7 19:27:41 (CEST)
60 Collision with environment 32.4 X: 0.9 Y: -0.3 Z: 2.2 X: -622.7 Y: 22.5 Z: 107.6 19:27:53 (CEST)
61 Collision with environment 19.5 X: -0.9 Y: -0.3 Z: 1.9 X: 16.1 Y: 22.5 Z: -21.3 19:28:13 (CEST)
62 Collision with environment 48.9 X: -1.0 Y: -0.3 Z: 1.8 X: 371.8 Y: 22.6 Z: -110.7 19:28:51 (CEST)
63 Collision with environment 78.4 X: 0.7 Y: -0.3 Z: 2.3 X: -576.3 Y: 22.5 Z: 120.1 19:37:27 (CEST)
64 Collision with environment 89.9 X: -0.9 Y: -0.4 Z: 2.1 X: 334.1 Y: 22.7 Z: -101.3 19:38:53 (CEST)
65 Collision with environment 12.7 X: -0.0 Y: -0.3 Z: 2.3 X: -930.7 Y: 19.7 Z: -79.1 19:38:56 (CEST)
66 Collision with environment 0.7 X: 0.0 Y: -0.3 Z: 2.3 X: -930.6 Y: 19.7 Z: -79.1 19:39:01 (CEST)
67 Collision with environment 99.9 X: -0.9 Y: -0.3 Z: 2.2 X: -650.4 Y: 21.7 Z: 77.0 19:39:32 (CEST)
68 Collision with environment 86.6 X: -0.9 Y: -0.3 Z: 2.1 X: -531.3 Y: 21.8 Z: 85.6 19:39:43 (CEST)
69 Collision with environment 97.2 X: 0.9 Y: -0.2 Z: 2.1 X: 555.8 Y: 35.7 Z: -213.6 19:40:16 (CEST)
70 Collision with environment 27.0 X: 1.0 Y: -0.3 Z: 1.8 X: 616.0 Y: 34.9 Z: -213.7 19:40:21 (CEST)
71 Collision with environment 29.4 X: 0.9 Y: -0.3 Z: 2.2 X: -85.9 Y: 21.8 Z: 22.5 19:40:41 (CEST)
72 Collision with car 1.4 X: 0.9 Y: -0.3 Z: 2.2 X: 372.1 Y: 22.3 Z: -100.9 19:42:25 (CEST)
73 Collision with car 26.6 X: 0.8 Y: -0.3 Z: -2.4 X: 294.7 Y: 22.7 Z: -84.5 19:42:29 (CEST)
74 Collision with environment 122.4 X: -0.9 Y: -0.4 Z: 2.1 X: 299.5 Y: 22.3 Z: -90.9 19:42:29 (CEST)
75 Collision with car 4.0 X: -0.8 Y: -0.0 Z: -2.1 X: 295.3 Y: 22.7 Z: -84.6 19:42:30 (CEST)
76 Collision with environment 173.3 X: -0.9 Y: -0.3 Z: 2.1 X: 784.3 Y: 25.9 Z: 65.4 19:44:26 (CEST)
77 Collision with environment 62.8 X: -0.9 Y: -0.3 Z: 2.2 X: 359.5 Y: 22.6 Z: -108.5 19:44:38 (CEST)
Car Env Rel
SRV Salzburgring Layout GP (3xDRS) SRV Salzburgring Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Stefan Herler in STM Audi RS5 2022
Best: 01:12.589, Potential: 01:12.535
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 01:41.152 00:55.131 00:20.798 00:25.223 1 M
2 01:14.894 00:29.602 00:20.659 00:24.633 0 M
3 01:14.919 00:29.509 00:20.660 00:24.750 0 M
4 01:14.393 00:29.277 00:20.614 00:24.502 0 M
5 01:14.239 00:29.104 00:20.601 00:24.534 0 M
6 01:14.260 00:29.120 00:20.597 00:24.543 0 M
7 01:14.251 00:29.080 00:20.619 00:24.552 0 M
8 01:14.166 00:29.080 00:20.578 00:24.508 0 M
9 01:14.547 00:29.339 00:20.579 00:24.629 0 M
10 01:14.281 00:29.119 00:20.583 00:24.579 0 M
11 01:14.607 00:29.075 00:20.620 00:24.912 0 M
12 01:14.736 00:29.371 00:20.637 00:24.728 0 M
13 02:10.904 01:23.317 00:22.612 00:24.975 1 M
14 01:46.023 00:57.269 00:23.536 00:25.218 1 M
15 01:13.214 00:28.768 00:19.985 00:24.461 0 M
16 01:13.222 00:28.951 00:20.007 00:24.264 0 M
17 01:13.180 00:28.922 00:19.971 00:24.287 0 M
18 01:13.193 00:28.877 00:19.958 00:24.358 0 M
19 01:12.943 00:28.731 00:19.912
S
00:24.300 0 M
20 01:13.072
C
00:28.675 00:19.958 00:24.439 1 M
21 01:12.860 00:28.698 00:19.939 00:24.223 0 M
22 01:13.190 00:28.915 00:19.975 00:24.300 0 M
23 01:13.109
C
00:28.901 00:20.079 00:24.129 1 M
24 01:14.514 00:29.324 00:20.601 00:24.589 0 M
25 01:19.271 00:32.102 00:20.691 00:26.478 0 M
26 01:54.257 01:06.346 00:22.900 00:25.011 1 S
27 01:12.894 00:28.829 00:19.949 00:24.116
S
0 S
28 01:12.891 00:28.772 00:19.967 00:24.152 0 S
29 01:12.666 00:28.592 00:19.954 00:24.120 0 S
30 01:12.589
L
L
00:28.507
S
S
00:19.958 00:24.124 0 S
2nd Andreas Braun in STM Mercedes C63 2022
Best: 01:13.071, Potential: 01:13.007
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 01:29.920 00:43.988 00:20.781 00:25.151 3 S
2 01:14.620 00:29.480 00:20.633 00:24.507 1 S
3 02:25.612 01:39.735 00:20.713 00:25.164 1 S
4 01:13.572 00:29.373 00:19.979 00:24.220 0 S
5 01:13.543 00:29.128 00:19.976 00:24.439 0 S
6 02:19.325 01:33.632 00:20.746 00:24.947 1 S
7 02:03.901 01:18.811 00:20.138 00:24.952 1 S
8 01:13.599 00:29.386 00:19.949 00:24.264 0 S
9 01:13.187 00:29.088 00:19.966 00:24.133 0 S
10 01:13.389 00:29.221 00:19.944
S
00:24.224 0 S
11 02:15.239 01:26.675 00:21.835 00:26.729 1 S
12 01:13.955 00:29.662 00:19.962 00:24.331 0 S
13 01:13.776 00:29.527 00:19.957 00:24.292 0 S
14 02:41.604 01:56.369 00:20.215 00:25.020 1 S
15 01:34.024 00:48.754 00:20.218 00:25.052 1 M
16 01:47.285 01:01.269 00:20.798 00:25.218 1 M
17 01:16.133 00:30.288 00:21.195 00:24.650 0 M
18 01:13.730 00:29.405 00:19.985 00:24.340 0 M
19 01:13.623 00:29.050 00:19.985 00:24.588 0 M
20 02:17.240 01:30.193 00:20.840 00:26.207 1 S
21 01:17.902 00:32.074 00:20.615 00:25.213 0 S
22 01:14.075
C
00:29.044 00:20.021 00:25.010 1 S
23 01:53.272 01:07.660 00:20.497 00:25.115 1 S
24 01:13.599 00:29.269 00:19.958 00:24.372 0 S
25 01:13.071
L
00:28.961
S
00:19.971 00:24.139 0 S
26 01:13.404 00:29.353 00:19.949 00:24.102
S
S
0 S
27 03:08.653 02:22.393 00:20.821 00:25.439 1 S
28 01:15.417 00:29.913 00:20.618 00:24.886 0 S
29 01:13.773 00:29.335 00:19.998 00:24.440 0 S
30 01:15.113 00:29.407 00:20.574 00:25.132 0 S
31 01:14.856 00:30.044 00:20.413 00:24.399 1 S
32 01:13.813 00:29.538 00:19.980 00:24.295 0 S
33 01:15.020 00:29.993 00:20.341 00:24.686 0 S
34 01:14.649 00:30.170 00:20.030 00:24.449 0 S
35 01:15.879 00:30.262 00:20.623 00:24.994 0 S
36 01:14.394 00:29.605 00:20.012 00:24.777 0 S
37 01:14.749 00:30.176 00:19.989 00:24.584 0 S
38 01:15.686 00:29.607 00:20.011 00:26.068 0 S
3rd Fred Dohnke in STM Mercedes C63 2022
Best: 01:13.421, Potential: 01:13.245
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:24.919 04:37.511 00:21.155 00:26.253 1 S
2 01:15.385 00:29.301 00:20.033 00:26.051 0 S
3 01:15.763 00:30.650 00:20.286 00:24.827 0 S
4 01:13.940
C
00:29.368 00:20.038 00:24.534 1 S
5 02:30.582 01:43.053 00:21.231 00:26.298 1 S
6 01:14.231 00:29.592 00:20.060 00:24.579 0 S
7 01:52.489 01:06.877 00:20.781 00:24.831 1 S
8 01:14.183
C
00:29.552 00:20.016 00:24.615 1 S
9 01:13.812 00:29.388 00:19.921
S
00:24.503 0 S
10 02:15.265 01:29.572 00:20.470 00:25.223 1 S
11 01:14.183 00:29.323 00:20.016 00:24.844 0 S
12 01:13.703 00:29.279 00:20.025 00:24.399 0 S
13 02:59.958 02:14.949 00:20.142 00:24.867 1 S
14 01:14.276 00:29.551 00:20.147 00:24.578 0 S
15 01:54.901 01:09.411 00:20.213 00:25.277 1 S
16 01:13.734 00:29.422 00:20.003 00:24.309
S
0 S
17 04:07.446 03:21.087 00:20.772 00:25.587 1 S
18 02:09.973 01:20.833 00:20.349 00:28.791 1 S
19 01:13.945 00:29.309 00:20.039 00:24.597 0 S
20 01:13.608 00:29.058 00:20.011 00:24.539 0 S
21 01:13.808 00:29.015
S
00:20.012 00:24.781 0 S
22 01:51.621 01:05.289 00:20.735 00:25.597 1 S
23 01:15.640 00:29.371 00:20.713 00:25.556 1 S
24 01:13.738 00:29.138 00:20.043 00:24.557 0 S
25 01:13.423 00:29.067 00:20.034 00:24.322 0 S
26 01:13.886 00:29.395 00:20.070 00:24.421 0 S
27 03:54.295 03:08.562 00:20.200 00:25.533 1 S
28 04:38.043 03:51.895 00:20.079 00:26.069 1 S
29 01:13.881 00:29.186 00:20.026 00:24.669 0 S
30 01:15.343 00:30.591 00:20.070 00:24.682 1 S
31 01:17.203 00:32.122 00:20.056 00:25.025 1 S
32 01:13.635 00:29.179 00:19.976 00:24.480 0 S
33 02:42.913 01:53.300 00:22.788 00:26.825 1 S
34 01:14.714 00:30.048 00:20.016 00:24.650 0 S
35 01:13.731 00:29.185 00:19.994 00:24.552 0 S
36 01:13.421
L
00:29.128 00:19.971 00:24.322 0 S
37 01:15.359 00:29.405 00:19.994 00:25.960 0 S
38 03:00.237 02:13.806 00:20.308 00:26.123 1 S
39 01:14.772 00:30.077 00:20.179 00:24.516 0 S
40 01:15.896 00:31.225 00:20.012 00:24.659 0 S
4th Yvan Thilmany in STM Audi RS5 2022
Best: 01:13.647, Potential: 01:13.524
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:04.153 03:17.834 00:20.431 00:25.888 1 S
2 01:15.975 00:30.380 00:20.210 00:25.385 0 S
3 01:15.374 00:29.542 00:20.201 00:25.631 0 S
4 01:15.153 00:29.865 00:20.083 00:25.205 0 S
5 01:17.373 00:31.306 00:20.502 00:25.565 0 S
6 01:15.969 00:30.159 00:20.106 00:25.704 0 S
7 01:15.276 00:30.114 00:20.025 00:25.137 0 S
8 01:14.902 00:29.528 00:20.016
S
00:25.358 0 S
9 01:14.791 00:29.615 00:20.080 00:25.096 0 S
10 03:47.967 03:02.098 00:20.345 00:25.524 1 S
11 01:15.172 00:30.127 00:20.110 00:24.935 0 S
12 01:14.751 00:29.962 00:20.120 00:24.669 0 S
13 01:14.726 00:29.906 00:20.111 00:24.709 0 S
14 01:14.694 00:29.739 00:20.056 00:24.899 0 S
15 01:16.347 00:29.627 00:20.052 00:26.668 0 S
16 03:05.912 02:20.957 00:20.323 00:24.632 1 S
17 01:14.370 00:29.783 00:20.066 00:24.521 0 S
18 01:19.199 00:29.736 00:20.191 00:29.272 0 S
19 03:29.189 02:42.353 00:21.326 00:25.510 1 S
20 01:13.857 00:29.172
S
00:20.042 00:24.643 0 S
21 01:14.502 00:29.560 00:20.074 00:24.868 0 S
22 03:03.690 02:17.987 00:20.309 00:25.394 1 S
23 01:35.130 00:49.724 00:20.669 00:24.737 0 S
24 01:13.647
L
00:29.258 00:20.053 00:24.336
S
0 S
25 01:19.510 00:29.340 00:20.029 00:30.141 0 S
26 02:37.173 01:51.147 00:20.591 00:25.435 1 S
27 01:15.118 00:29.776 00:20.138 00:25.204 0 S
28 01:14.503 00:29.611 00:20.039 00:24.853 0 S
29 01:18.171 00:29.417 00:20.133 00:28.621 0 S
5th Michael Weimer in STM Audi RS5 2022
Best: 01:13.742, Potential: 01:13.643
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:58.411 03:11.881 00:20.173 00:26.357 1 S
2 01:14.602 00:29.697 00:19.997 00:24.908 0 S
3 01:14.404 00:29.580 00:20.015 00:24.809 0 S
4 01:14.147 00:29.471 00:19.972 00:24.704 0 S
5 01:14.608 00:29.982 00:20.042 00:24.584 0 S
6 01:13.742
L
00:29.278
S
00:19.966 00:24.498
S
0 S
7 05:11.398 04:24.260 00:20.903 00:26.235 1 S
8 01:14.138 00:29.480 00:19.976 00:24.682 0 S
9 01:14.216 00:29.504 00:20.003 00:24.709 0 S
10 01:14.239 00:29.514 00:19.867
S
S
00:24.858 0 S
11 01:14.193 00:29.444 00:20.008 00:24.741 0 S
6th Pascal Hein in STM BMW M4 2022
Best: 01:13.776, Potential: 01:13.475
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 01:37.116 00:51.333 00:20.884 00:24.899 1 S
2 01:14.654 00:29.618 00:20.656 00:24.380 0 S
3 01:15.220 00:30.134 00:20.665 00:24.421 0 S
4 01:14.471 00:29.426 00:20.655 00:24.390 0 S
5 01:14.392 00:29.271 00:20.627 00:24.494 0 S
6 01:14.417 00:29.327 00:20.691 00:24.399 0 S
7 03:20.878 02:35.014 00:20.876 00:24.988 1 S
8 01:14.359 00:29.319 00:20.664 00:24.376 0 S
9 01:14.138 00:29.219 00:20.642 00:24.277 0 S
10 01:14.153 00:29.266 00:20.651 00:24.236 0 S
11 03:34.918 02:49.360 00:20.767 00:24.791 1 S
12 05:40.178 04:54.652 00:20.772 00:24.754 1 S
13 01:14.127 00:29.181 00:20.592 00:24.354 0 S
14 01:14.313 00:29.457 00:20.565 00:24.291 0 S
15 03:53.045 03:07.564 00:20.695 00:24.786 1 S
16 01:14.001 00:29.136 00:20.574 00:24.291 0 S
17 01:13.993 00:29.160 00:20.555 00:24.278 0 S
18 01:13.895 00:29.021 00:20.601 00:24.273 0 S
19 01:13.776
L
00:29.005 00:20.538 00:24.233
S
0 S
20 01:14.025 00:29.088 00:20.546 00:24.391 0 S
21 01:13.808 00:28.912
S
00:20.547 00:24.349 0 S
22 01:14.135 00:29.000 00:20.556 00:24.579 0 S
23 01:14.108 00:29.266 00:20.565 00:24.277 0 S
24 01:14.149 00:29.199 00:20.524 00:24.426 0 S
25 01:14.156 00:29.197 00:20.570 00:24.389 0 S
26 01:14.334 00:29.261 00:20.561 00:24.512 0 S
27 01:15.276 00:29.528 00:20.557 00:25.191 0 S
28 01:38.437 00:52.757 00:20.773 00:24.907 1 S
29 01:14.512 00:29.516 00:20.620 00:24.376 0 S
30 01:14.098 00:29.183 00:20.556 00:24.359 0 S
31 01:14.080 00:29.247 00:20.330
S
00:24.503 0 S
32 01:14.301 00:29.314 00:20.587 00:24.400 0 S
33 01:14.105 00:29.142 00:20.619 00:24.344 0 S
34 01:14.172 00:29.162 00:20.593 00:24.417 0 S
35 01:14.187 00:29.187 00:20.564 00:24.436 0 S
36 01:14.232 00:29.241 00:20.591 00:24.400 0 S
37 01:14.411 00:29.367 00:20.591 00:24.453 0 S
38 01:14.360 00:29.302 00:20.565 00:24.493 0 S
39 01:14.442 00:29.352 00:20.574 00:24.516 0 S
40 01:14.807 00:29.411 00:20.566 00:24.830 0 S
41 01:14.576 00:29.397 00:20.587 00:24.592 0 S
42 01:14.523 00:29.280 00:20.569 00:24.674 0 S
43 01:15.451 00:29.520 00:20.600 00:25.331 0 S
44 01:37.840 00:52.003 00:20.763 00:25.074 1 M
45 01:14.345 00:29.224 00:20.633 00:24.488 0 M
46 01:14.613 00:29.333 00:20.651 00:24.629 0 M
47 01:14.218 00:29.232 00:20.609 00:24.377 0 M
48 01:14.345 00:29.368 00:20.596 00:24.381 0 M
49 01:14.671 00:29.495 00:20.610 00:24.566 0 M
50 01:14.377 00:29.219 00:20.624 00:24.534 0 M
51 01:14.624 00:29.431 00:20.660 00:24.533 0 M
52 01:14.523 00:29.244 00:20.645 00:24.634 0 M
53 01:14.583 00:29.290 00:20.651 00:24.642 0 M
54 01:14.911 00:29.645 00:20.593 00:24.673 0 M
55 01:14.557 00:29.332 00:20.623 00:24.602 0 M
56 01:14.750 00:29.408 00:20.615 00:24.727 0 M
57 01:14.684 00:29.369 00:20.624 00:24.691 0 M
58 01:14.743 00:29.424 00:20.614 00:24.705 0 M
59 01:15.052 00:29.660 00:20.602 00:24.790 0 M
60 01:15.304 00:29.697 00:20.645 00:24.962 0 M
61 01:14.913 00:29.462 00:20.646 00:24.805 0 M
62 01:15.177 00:29.758 00:20.570 00:24.849 0 M
63 01:14.929 00:29.528 00:20.588 00:24.813 0 M
64 01:15.237 00:29.661 00:20.632 00:24.944 0 M
7th Christian Gerspacher in STM Audi RS5 2022
Best: 01:13.832, Potential: 01:13.832
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 01:49.855 01:02.258 00:21.429 00:26.168 1 S
2 01:18.099 00:29.391 00:20.034 00:28.674 0 S
3 01:14.394 00:29.628 00:20.069 00:24.697 0 S
4 01:58.624 01:07.180 00:25.510 00:25.934 1 S
5 02:57.823 02:10.195 00:22.059 00:25.569 1 S
6 01:13.832
L
00:29.179
S
00:19.993
S
00:24.660
S
0 S
7 02:44.716 01:58.726 00:20.885 00:25.105 1 M
8 01:15.974 00:29.917 00:20.740 00:25.317 0 M
9 01:16.638 00:30.418 00:20.754 00:25.466 0 M
10 01:17.823 00:30.473 00:20.736 00:26.614 0 M
11 01:17.953 00:31.553 00:20.809 00:25.591 0 M
12 01:16.047 00:30.187 00:20.687 00:25.173 0 M
13 01:15.586 00:29.924 00:20.674 00:24.988 0 M
14 01:15.992 00:30.034 00:20.695 00:25.263 0 M
15 01:21.583 00:30.584 00:20.687 00:30.312 0 M
16 01:18.274 00:31.672 00:20.795 00:25.807 0 M
17 01:16.663 00:30.453 00:20.744 00:25.466 0 M
18 01:16.848 00:30.736 00:20.696 00:25.416 0 M
19 01:16.842 00:30.905 00:20.728 00:25.209 0 M
20 01:18.462 00:32.229 00:20.902 00:25.331 0 M
21 01:16.423 00:30.172 00:20.754 00:25.497 0 M
22 01:17.802 00:31.380 00:21.357 00:25.065 0 M
23 01:16.540 00:30.568 00:20.691 00:25.281 0 M
24 01:16.856 00:30.164 00:20.944 00:25.748 0 M
25 01:18.127 00:30.625 00:20.790 00:26.712 0 M
26 01:18.188 00:31.550 00:20.944 00:25.694 0 M
27 01:17.519 00:30.998 00:20.745 00:25.776 0 M
28 01:16.570
C
00:30.589 00:20.007 00:25.974 1 M
29 01:16.676 00:30.417 00:20.709 00:25.550 0 M
30 01:17.393 00:31.124 00:20.723 00:25.546 0 M
31 01:20.017 00:30.679 00:20.659 00:28.679 0 M
32 01:55.683 01:09.531 00:21.028 00:25.124 1 S
33 01:14.758 00:29.618 00:20.196 00:24.944 0 S
34 01:28.971 00:42.652 00:20.925 00:25.394 0 S
35 01:15.082 00:29.735 00:20.124 00:25.223 0 S
36 01:15.147 00:29.989 00:20.318 00:24.840 0 S
8th Thomas Kneissler in STM Audi RS5 2022
Best: 01:14.834, Potential: 01:14.457
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:42.464 01:53.608 00:21.132 00:27.724 1 S
2 01:17.551 00:31.305 00:20.848 00:25.398 0 S
3 01:16.983
C
00:30.421 00:20.749 00:25.813 1 S
4 01:16.666 00:30.392 00:20.728 00:25.546 0 S
5 01:16.479 00:30.201 00:20.736 00:25.542 0 S
6 01:16.081 00:30.141 00:20.736 00:25.204 0 S
7 01:16.461 00:30.435 00:20.722 00:25.304 0 S
8 01:52.720 01:06.032 00:20.754 00:25.934 0 S
9 01:16.879 00:30.614 00:20.718 00:25.547 0 S
10 01:17.000 00:30.777 00:20.740 00:25.483 0 S
11 01:16.759 00:30.634 00:20.745 00:25.380 0 S
12 01:16.037 00:30.065 00:20.674 00:25.298 0 S
13 01:19.643 00:32.213 00:21.830 00:25.600 0 S
14 01:19.603 00:30.773 00:20.763 00:28.067 0 S
15 01:52.902 01:04.302 00:22.563 00:26.037 1 M
16 01:16.293 00:30.177 00:20.744 00:25.372 0 M
17 01:16.527 00:30.325 00:20.723 00:25.479 0 M
18 01:16.612 00:30.298 00:20.677 00:25.637 0 M
19 01:17.054
C
00:29.967 00:20.699 00:26.388 1 M
20 01:17.515 00:29.986 00:20.705 00:26.824 0 M
21 01:16.173 00:30.173 00:20.682 00:25.318 0 M
22 01:15.582 00:29.699 00:20.701 00:25.182 0 M
23 01:16.608 00:30.365 00:20.692 00:25.551 0 M
24 01:15.676 00:29.681 00:20.687 00:25.308 0 M
25 01:16.821 00:30.039 00:20.717 00:26.065 0 M
26 10:32.889 09:45.080 00:21.052 00:26.757 1 S
27 01:14.812
C
00:29.393 00:20.133 00:25.286 1 S
28 01:15.439 00:29.750 00:20.120 00:25.569 0 S
29 01:15.763 00:29.957 00:20.061 00:25.745 0 S
30 02:12.090 01:24.668 00:20.984 00:26.438 1 S
31 01:14.834
L
00:29.920 00:20.083 00:24.831
S
0 S
32 02:02.695 01:15.031 00:20.939 00:26.725 1 S
33 02:01.380 01:14.112 00:21.109 00:26.159 1 S
34 01:17.490 00:29.587
S
00:20.075 00:27.828 0 S
35 01:15.086 00:29.938 00:20.074 00:25.074 0 S
36 01:14.955 00:29.846 00:20.039
S
00:25.070 0 S
9th Philipp Krauslach in STM Mercedes C63 2022
Best: 01:14.904, Potential: 01:14.904
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:02.795 02:15.334 00:20.876 00:26.585 1 M
2 01:16.736 00:30.512 00:20.709 00:25.515 0 M
3 01:17.281 00:31.305 00:20.745 00:25.231 0 M
4 01:16.478 00:30.673 00:20.740 00:25.065 0 M
5 01:16.493 00:30.512 00:20.691 00:25.290 0 M
6 01:16.116 00:30.350 00:20.664 00:25.102 0 M
7 01:16.153 00:30.505 00:20.695 00:24.953 0 M
8 01:16.510 00:31.038 00:20.628 00:24.844 0 M
9 01:15.857 00:30.331 00:20.678 00:24.848 0 M
10 01:32.001 00:29.982 00:20.654 00:41.365 0 M
11 01:16.823 00:30.896 00:20.651 00:25.276 0 M
12 01:15.729 00:30.058 00:20.646 00:25.025 0 M
13 01:28.569 00:30.231 00:20.663 00:37.675 0 M
14 02:55.504 02:08.587 00:21.307 00:25.610 1 S
15 01:15.187 00:29.908 00:20.610 00:24.669 0 S
16 01:15.295 00:29.836 00:20.601 00:24.858 0 S
17 01:14.904
L
00:29.733
S
00:20.564
S
00:24.607
S
0 S
10th Eileen Weimer in STM Audi RS5 2022
Best: 01:15.114, Potential: 01:15.067
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:10.839 01:23.625 00:21.626 00:25.588 1 M
2 01:20.819 00:33.336 00:20.699 00:26.784 0 M
3 01:46.836 01:00.436 00:20.768 00:25.632 1 M
4 02:23.036 01:36.637 00:20.803 00:25.596 1 M
5 01:16.107 00:30.171 00:20.610
S
00:25.326 0 M
6 01:16.077 00:29.920 00:20.695 00:25.462 0 M
7 01:16.162 00:30.141 00:20.641 00:25.380 0 M
8 02:18.021 01:28.957 00:22.856 00:26.208 1 M
9 02:57.353 02:11.035 00:20.840 00:25.478 1 M
10 01:16.116 00:30.125 00:20.754 00:25.237 0 M
11 01:56.567 01:10.267 00:20.804 00:25.496 1 M
12 01:16.106 00:30.215 00:20.669 00:25.222 0 M
13 01:51.900 01:04.883 00:20.732 00:26.285 1 M
14 01:16.324 00:30.330 00:20.668 00:25.326 0 M
15 01:15.992 00:29.854 00:20.723 00:25.415 0 M
16 03:19.118 02:32.215 00:20.871 00:26.032 1 M
17 01:51.218 00:57.133 00:20.759 00:33.326 1 M
18 01:15.967
C
00:30.022 00:20.682 00:25.263 1 M
19 02:06.082 01:18.953 00:20.885 00:26.244 1 M
20 02:11.374 01:24.628 00:20.862 00:25.884 1 M
21 01:16.407 00:30.394 00:20.727 00:25.286 0 M
22 01:16.009 00:30.060 00:20.709 00:25.240 0 M
23 02:14.304 01:27.999 00:20.852 00:25.453 1 S
24 01:15.694 00:29.924 00:20.700 00:25.070 0 S
25 01:15.452 00:29.607
S
00:20.700 00:25.145 0 S
26 02:03.163 01:16.692 00:21.032 00:25.439 1 S
27 01:16.578 00:30.821 00:20.683 00:25.074 0 S
28 01:15.114
L
00:29.628 00:20.636 00:24.850
S
0 S
29 02:31.731 01:45.610 00:20.345 00:25.776 1 M
11th Lars Borkowski in STM Mercedes C63 2022
Best: 01:15.780, Potential: 01:15.320
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 01:44.023 00:56.827 00:20.983 00:26.213 1 M
2 01:16.308 00:30.466 00:20.209 00:25.633 0 M
3 01:15.852 00:30.235
S
00:20.174 00:25.443 0 M
4 01:16.414 00:31.068 00:20.241 00:25.105 0 M
5 01:17.644 00:32.455 00:20.178 00:25.011
S
0 M
6 01:16.344 00:30.619 00:20.074
S
00:25.651 0 M
7 01:15.699
C
00:30.230 00:20.142 00:25.327 1 M
8 01:17.656 00:31.045 00:20.515 00:26.096 0 M
9 02:01.902 01:13.644 00:21.298 00:26.960 1 M
10 01:16.086 00:30.307 00:20.223 00:25.556 0 M
11 01:15.780
L
00:30.447 00:20.182 00:25.151 0 M
12 01:16.463 00:30.392 00:20.250 00:25.821 0 M
13 01:16.345 00:30.260 00:20.196 00:25.889 0 M
12th Klemens Kowall in STM Mercedes C63 2022
Best: 01:16.492, Potential: 01:15.878
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:33.292 02:40.750 00:21.123 00:31.419 1 M
2 01:20.848 00:33.332 00:20.889 00:26.627 0 M
3 01:19.079 00:32.100 00:20.821 00:26.158 0 M
4 01:18.005 00:31.561 00:20.822 00:25.622 0 M
5 01:20.800 00:31.431 00:20.825 00:28.544 0 M
6 01:17.928 00:31.046 00:20.934 00:25.948 0 M
7 01:16.859 00:30.384
S
00:20.758 00:25.717 0 M
8 01:17.772 00:31.188 00:20.798 00:25.786 0 M
9 01:17.692 00:30.771 00:20.762 00:26.159 0 M
10 01:18.000 00:31.510 00:20.763 00:25.727 0 M
11 01:31.318 00:44.662 00:20.560 00:26.096 0 M
12 01:25.605 00:39.151 00:20.349 00:26.105 0 M
13 01:17.084 00:30.483 00:20.371 00:26.230 0 M
14 01:21.506 00:30.584 00:20.466 00:30.456 0 M
15 01:17.115 00:30.751 00:20.218 00:26.146 0 M
16 01:18.376 00:32.003 00:20.214 00:26.159 0 M
17 01:19.687 00:32.856 00:20.371 00:26.460 0 M
18 05:12.814 04:25.015 00:21.114 00:26.685 1 M
19 01:17.838 00:31.955 00:20.197 00:25.686 0 M
20 01:17.849 00:31.022 00:20.763 00:26.064 0 M
21 01:19.193 00:30.971 00:20.718 00:27.504 0 M
22 01:18.001 00:32.015 00:20.151
S
00:25.835 0 M
23 01:16.492
L
00:30.794 00:20.214 00:25.484 0 M
24 01:16.613 00:31.073 00:20.197 00:25.343
S
0 M
25 01:17.259 00:30.486 00:20.160 00:26.613 0 M
13th Daniel Amann in STM BMW M4 2022
Best: 01:17.081, Potential: 01:16.482
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:30.922 01:23.256 00:20.762 00:46.904 1 S
2 01:30.906 00:34.790 00:23.000 00:33.116 0 S
3 01:22.678 00:32.242 00:20.165 00:30.271 0 S
4 03:09.419 02:21.868 00:20.407 00:27.144 1 S
5 01:18.528 00:31.188 00:20.195 00:27.145 0 S
6 02:11.584 01:23.762 00:20.579 00:27.243 1 S
7 03:02.651 02:05.740 00:20.930 00:35.981 1 S
8 03:09.920 02:19.538 00:20.475 00:29.907 1 S
9 01:18.415 00:32.191 00:20.241 00:25.983 0 S
10 01:18.423 00:31.172 00:20.178 00:27.073 0 S
11 01:17.575 00:30.987
S
00:20.159 00:26.429 0 S
12 03:12.556 02:25.059 00:20.403 00:27.094 1 M
13 01:21.910 00:32.558 00:20.741 00:28.611 0 M
14 01:17.081
L
00:31.371 00:20.119
S
00:25.591 0 M
15 03:56.630 02:40.662 00:20.497 00:55.471 1 M
16 01:34.692 00:47.342 00:20.521 00:26.829 0 M
17 01:20.257 00:32.408 00:20.651 00:27.198 0 M
18 01:17.302 00:31.730 00:20.196 00:25.376
S
0 M
19 01:18.621 00:31.641 00:20.250 00:26.730 0 M
20 01:17.102 00:31.243 00:20.169 00:25.690 0 M
21 03:58.250 03:07.913 00:20.795 00:29.542 1 M
22 01:18.811 00:32.601 00:20.182 00:26.028 0 M
14th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:19.572, Potential: 01:19.428
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:32.970 01:37.075 00:21.703 00:34.192 1 S
2 01:24.613 00:34.875 00:20.853 00:28.885 0 S
3 01:22.184 00:34.746 00:20.745
S
00:26.693 0 S
4 01:20.872 00:32.767 00:20.759 00:27.346 0 S
5 01:21.068 00:32.486 00:20.759 00:27.823 0 S
6 01:19.572
L
00:32.087
S
00:20.889 00:26.596
S
0 S
7 01:20.685 00:32.499 00:20.871 00:27.315 0 S
8 03:12.896 02:23.927 00:21.164 00:27.805 1 S
9 01:20.935 00:32.906 00:20.898 00:27.131 0 S