SRV Mugello Layout GP (3xDRS)

21 Feb 22 20:30 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 Ping
1 Pascal Hein Stiftung Plankentest II STM BMW M4 2022 01:42.110
Tyre: M 		01:43.024 55 laps / 10 cuts 3 - 13
2 Tim Quoos Stiftung Plankentest I STM Audi RS5 2022 01:42.888
Tyre: M 		01:44.124 19 laps / 5 cuts 11 - 19
3 Viktor Kaltschew CRM Motorsport STM Mercedes C63 2022 01:43.057
Tyre: M 		01:45.665 17 laps / 2 cuts 36 - 167
4 Michael Weimer SRV Jägermeister eSport II STM Audi RS5 2022 01:43.199
Tyre: M 		01:50.506 28 laps / 4 cuts 12 - 25
5 Thomas Kneissler Horizont Personalmanagement Racing STM Audi RS5 2022 01:43.341
Tyre: M 		01:45.710 27 laps / 3 cuts 20 - 30
6 Christian Gerspacher Stiftung Plankentest I STM Audi RS5 2022 01:43.385
Tyre: M 		01:45.871 43 laps / 13 cuts 17 - 29
7 Andreas Braun BMS Racing STM Mercedes C63 2022 01:43.505
Tyre: M 		01:45.110 37 laps / 5 cuts 14 - 18
8 Philipp Krauslach Micro-Machines Sim Racing I STM Mercedes C63 2022 01:43.562
Tyre: M 		01:50.489 49 laps / 1 cuts 10 - 56
9 Steffen Maschke SRV Jägermeister eSport I STM Audi RS5 2022 01:43.602
Tyre: M 		01:59.937 23 laps / 2 cuts 21 - 34
10 Benedikt Hoepfer HW Performance STM BMW M4 2022 01:43.949
Tyre: M 		01:53.620 33 laps / 1 cuts 7 - 10
11 Fred Dohnke BMS Racing STM Mercedes C63 2022 01:43.955
Tyre: M 		01:44.992 37 laps / 6 cuts 25 - 42
12 Eileen Weimer SRV Jägermeister eSport I STM Audi RS5 2022 01:44.098
Tyre: M 		01:55.377 25 laps / 1 cuts 15 - 19
13 Jean Ora HabAuchKeins STM BMW M4 2022 01:44.642
Tyre: M 		01:53.203 16 laps / 1 cuts 9 - 127
14 Daniel Amann Horizont Personalmanagement Racing STM BMW M4 2022 01:44.770
Tyre: M 		01:53.170 30 laps / 2 cuts 18 - 24
15 Uemit Zobu CRM Motorsport STM BMW M4 2022 01:44.917
Tyre: M 		01:53.120 25 laps / 3 cuts 11 - 38
16 Dirk Wiedemann HW Performance STM Mercedes C63 2022 01:47.784
Tyre: H 		01:57.306 21 laps / 1 cuts 21 - 34
17 Dieter Suessenguth Bayern Racing STM Mercedes C63 2022 01:47.996
Tyre: M 		01:49.283 33 laps / 1 cuts 26 - 36
18 Herbert Aeckerle Bayern Racing STM Mercedes C63 2022 01:48.430
Tyre: M 		01:56.209 50 laps / 7 cuts 7 - 239
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Herbert Aeckerle Collision with environment 25.9 X: -0.6 Y: -0.3 Z: 2.3 X: -375.6 Y: 30.5 Z: -242.5 15:57:47 (CET)
2 Herbert Aeckerle Collision with environment 29.5 X: 0.7 Y: -0.3 Z: 2.3 X: -374.7 Y: 31.0 Z: -273.5 15:57:57 (CET)
3 Andreas Braun Collision with environment 31.3 X: -0.9 Y: -0.3 Z: 2.2 X: 238.3 Y: -3.2 Z: -5.4 16:53:12 (CET)
4 Herbert Aeckerle Collision with environment 2.3 X: 1.0 Y: -0.4 Z: 1.8 X: -17.1 Y: -0.3 Z: 11.0 17:30:56 (CET)
5 Uemit Zobu Collision with environment 58.2 X: -0.9 Y: -0.4 Z: 2.2 X: 442.3 Y: 18.4 Z: 247.8 18:19:25 (CET)
6 Dirk Wiedemann Collision with environment 21.7 X: 0.9 Y: -0.4 Z: 2.1 X: -594.1 Y: 28.0 Z: -212.4 18:35:18 (CET)
7 Uemit Zobu Collision with environment 58.3 X: 0.9 Y: -0.4 Z: 2.1 X: -590.6 Y: 28.7 Z: -242.9 18:53:00 (CET)
8 Christian Gerspacher Collision with environment 18.0 X: 0.9 Y: -0.3 Z: 1.8 X: -273.6 Y: 29.0 Z: -255.1 19:06:48 (CET)
9 Daniel Amann Collision with environment 2.6 X: 0.9 Y: -0.4 Z: 2.2 X: -46.2 Y: 0.0 Z: 11.3 19:10:19 (CET)
10 Christian Gerspacher Collision with environment 38.2 X: 0.9 Y: -0.3 Z: 2.2 X: -588.0 Y: 28.9 Z: -246.3 19:21:18 (CET)
11 Daniel Amann Collision with environment 32.6 X: -0.9 Y: -0.3 Z: 2.1 X: 93.7 Y: 20.2 Z: -247.3 19:26:29 (CET)
12 Steffen Maschke Collision with environment 1.9 X: -0.9 Y: -0.3 Z: 2.1 X: 44.9 Y: 22.0 Z: -260.4 19:30:42 (CET)
13 Philipp Krauslach Collision with environment 47.1 X: -0.9 Y: -0.3 Z: 2.1 X: 35.3 Y: 22.3 Z: -263.1 19:31:54 (CET)
14 Herbert Aeckerle Collision with environment 67.4 X: -0.9 Y: -0.3 Z: 2.1 X: -394.9 Y: 30.8 Z: -245.8 19:32:48 (CET)
15 Dirk Wiedemann Collision with environment 78.4 X: 0.7 Y: 0.1 Z: 2.2 X: 442.9 Y: 18.9 Z: 247.5 19:33:08 (CET)
16 Benedikt Hoepfer Collision with environment 96.8 X: -0.5 Y: -0.3 Z: 2.3 X: -412.0 Y: 31.0 Z: -248.3 19:34:06 (CET)
17 Eileen Weimer Collision with environment 7.0 X: 0.9 Y: -0.3 Z: 2.2 X: -63.3 Y: 0.2 Z: 11.4 19:35:48 (CET)
18 Pascal Hein Collision with environment 25.7 X: -0.8 Y: -0.4 Z: 2.3 X: -100.6 Y: 0.6 Z: -2.1 19:36:48 (CET)
19 Pascal Hein Collision with environment 9.4 X: 0.9 Y: -0.4 Z: -1.9 X: -108.8 Y: 0.7 Z: 11.6 19:36:58 (CET)
20 Daniel Amann Collision with environment 39.1 X: -0.9 Y: -0.3 Z: 2.1 X: -427.8 Y: 31.1 Z: -249.6 19:38:54 (CET)
21 Daniel Amann Collision with environment 31.1 X: -0.9 Y: -0.4 Z: -1.9 X: -427.8 Y: 31.2 Z: -249.6 19:38:59 (CET)
22 Benedikt Hoepfer Herbert Aeckerle Collision with car 13.8 X: 0.9 Y: -0.3 Z: 2.1 X: 631.9 Y: 7.2 Z: 210.5 19:39:41 (CET)
23 Herbert Aeckerle Benedikt Hoepfer Collision with car 18.4 X: -0.9 Y: -0.4 Z: -2.0 X: 632.0 Y: 7.2 Z: 210.4 19:39:43 (CET)
24 Christian Gerspacher Collision with environment 27.9 X: -0.9 Y: -0.3 Z: 2.2 X: 440.0 Y: -7.3 Z: 41.2 19:40:04 (CET)
25 Steffen Maschke Collision with environment 104.9 X: 0.8 Y: -0.3 Z: 2.2 X: 440.0 Y: -7.2 Z: 41.7 19:40:17 (CET)
26 Christian Gerspacher Collision with environment 14.9 X: 0.8 Y: -0.2 Z: -2.4 X: -100.0 Y: 26.0 Z: -300.3 19:41:09 (CET)
27 Dirk Wiedemann Collision with environment 48.1 X: -0.6 Y: -0.4 Z: 2.3 X: 293.1 Y: 16.3 Z: 246.9 19:41:48 (CET)
28 Jean Ora Tim Quoos Collision with car 13.2 X: -1.0 Y: -0.3 Z: 1.1 X: -176.0 Y: 27.4 Z: -221.7 19:43:51 (CET)
29 Tim Quoos Jean Ora Collision with car 13.6 X: 1.0 Y: -0.3 Z: 1.8 X: -127.6 Y: 26.7 Z: -240.1 19:43:54 (CET)
30 Jean Ora Tim Quoos Collision with car 6.5 X: -0.9 Y: -0.3 Z: -1.9 X: -124.8 Y: 26.6 Z: -242.6 19:43:56 (CET)
31 Michael Weimer Tim Quoos Collision with car 65.5 X: 0.9 Y: -0.3 Z: -2.0 X: -524.6 Y: 10.4 Z: 3.5 19:45:14 (CET)
32 Tim Quoos Michael Weimer Collision with car 61.2 X: -0.9 Y: -0.2 Z: 2.2 X: -524.8 Y: 10.4 Z: 3.6 19:45:14 (CET)
33 Tim Quoos Collision with environment 85.3 X: 0.9 Y: 0.4 Z: 1.6 X: -583.9 Y: 11.1 Z: 14.7 19:45:14 (CET)
34 Tim Quoos Collision with environment 19.4 X: 0.7 Y: -0.3 Z: 2.3 X: -697.1 Y: 20.4 Z: -94.1 19:45:24 (CET)
35 Tim Quoos Christian Gerspacher Collision with car 37.1 X: 0.9 Y: -0.3 Z: 2.2 X: -738.0 Y: 18.2 Z: -97.0 19:45:24 (CET)
36 Christian Gerspacher Tim Quoos Collision with car 25.6 X: -1.0 Y: -0.3 Z: -1.0 X: -737.8 Y: 18.2 Z: -97.1 19:45:24 (CET)
37 Christian Gerspacher Collision with environment 46.1 X: -0.0 Y: -0.3 Z: 2.3 X: -666.7 Y: 22.6 Z: -101.5 19:45:29 (CET)
38 Daniel Amann Collision with environment 94.5 X: 0.9 Y: -0.4 Z: 2.1 X: 345.6 Y: 5.4 Z: 134.0 19:45:29 (CET)
39 Dieter Suessenguth Collision with environment 36.4 X: -0.9 Y: -0.3 Z: 2.2 X: -714.7 Y: 18.9 Z: -87.6 19:46:03 (CET)
40 Philipp Krauslach Collision with environment 29.3 X: -0.9 Y: -0.3 Z: -1.9 X: 260.2 Y: 14.6 Z: 183.4 19:47:14 (CET)
41 Philipp Krauslach Collision with environment 19.5 X: -0.9 Y: -0.3 Z: 2.1 X: 241.5 Y: 14.2 Z: 160.6 19:47:19 (CET)
42 Steffen Maschke Collision with environment 134.1 X: -0.7 Y: -0.3 Z: 2.3 X: 423.5 Y: 18.7 Z: 254.6 19:50:32 (CET)
43 Christian Gerspacher Collision with environment 29.2 X: 0.8 Y: -0.2 Z: -2.3 X: 589.7 Y: -10.5 Z: -96.9 19:51:59 (CET)
44 Daniel Amann Collision with environment 9.4 X: 0.9 Y: -0.3 Z: 2.2 X: 519.5 Y: -6.3 Z: 51.2 19:52:10 (CET)
45 Benedikt Hoepfer Collision with environment 10.9 X: -0.9 Y: -0.3 Z: -1.9 X: -407.5 Y: 31.0 Z: -247.7 19:52:47 (CET)
46 Daniel Amann Collision with environment 24.5 X: -0.9 Y: -0.3 Z: 2.1 X: -364.1 Y: 30.4 Z: -240.6 19:53:10 (CET)
47 Steffen Maschke Collision with environment 23.0 X: 0.8 Y: 0.0 Z: -2.4 X: -682.7 Y: 21.9 Z: -97.8 19:57:07 (CET)
48 Benedikt Hoepfer Collision with environment 15.8 X: -1.0 Y: -0.4 Z: -1.0 X: 416.2 Y: 18.7 Z: 258.6 19:58:02 (CET)
49 Daniel Amann Collision with environment 31.7 X: -0.9 Y: -0.3 Z: 1.9 X: -410.0 Y: 31.0 Z: -248.0 19:59:20 (CET)
50 Thomas Kneissler Collision with environment 38.4 X: -0.9 Y: -0.3 Z: 2.2 X: -425.4 Y: 31.1 Z: -249.5 20:00:40 (CET)
51 Herbert Aeckerle Michael Weimer Collision with car 12.8 X: -0.8 Y: -0.3 Z: -2.4 X: 139.7 Y: 12.2 Z: 186.9 20:02:23 (CET)
52 Michael Weimer Herbert Aeckerle Collision with car 11.9 X: 0.1 Y: -0.2 Z: 2.3 X: 139.3 Y: 12.2 Z: 186.9 20:02:25 (CET)
53 Daniel Amann Collision with environment 54.3 X: 0.9 Y: -0.4 Z: 2.2 X: 92.0 Y: 20.4 Z: -281.1 20:07:00 (CET)
54 Steffen Maschke Collision with environment 67.3 X: -0.5 Y: -0.2 Z: 2.2 X: 121.4 Y: 12.8 Z: 168.5 20:14:22 (CET)
55 Thomas Kneissler Collision with environment 25.4 X: -0.9 Y: -0.3 Z: 2.2 X: -706.3 Y: 19.7 Z: -91.2 20:16:45 (CET)
56 Eileen Weimer Collision with environment 13.1 X: -1.0 Y: -0.3 Z: 1.8 X: -642.9 Y: 23.9 Z: -106.8 20:18:54 (CET)
57 Uemit Zobu Collision with environment 25.3 X: -0.9 Y: -0.3 Z: 2.2 X: 15.4 Y: 23.1 Z: -268.2 20:19:46 (CET)
58 Herbert Aeckerle Collision with environment 40.1 X: -0.9 Y: -0.3 Z: 2.1 X: -678.3 Y: 21.8 Z: -98.9 20:22:53 (CET)
59 Herbert Aeckerle Collision with environment 28.4 X: -0.9 Y: -0.4 Z: -1.9 X: -678.6 Y: 22.0 Z: -98.9 20:22:58 (CET)
60 Benedikt Hoepfer Collision with environment 37.9 X: 0.9 Y: -0.3 Z: 2.1 X: -588.4 Y: 28.8 Z: -245.7 20:24:17 (CET)
61 Christian Gerspacher Collision with environment 50.5 X: -1.0 Y: -0.2 Z: 1.8 X: 18.1 Y: 6.8 Z: 148.9 20:24:44 (CET)
62 Christian Gerspacher Collision with environment 6.2 X: -0.9 Y: -0.3 Z: -1.9 X: 87.8 Y: 6.0 Z: 141.4 20:24:49 (CET)
63 Philipp Krauslach Collision with environment 26.1 X: -0.7 Y: -0.3 Z: 2.3 X: 528.1 Y: -5.9 Z: 54.5 20:24:54 (CET)
64 Daniel Amann Collision with environment 16.2 X: -1.0 Y: -0.3 Z: 1.8 X: -704.7 Y: 19.8 Z: -91.8 20:26:05 (CET)
65 Thomas Kneissler Collision with environment 66.8 X: -0.9 Y: -0.3 Z: 2.2 X: -432.2 Y: 31.2 Z: -249.7 20:26:40 (CET)
66 Herbert Aeckerle Collision with environment 42.4 X: 0.6 Y: -0.3 Z: 2.3 X: -118.8 Y: 26.0 Z: -281.9 20:30:18 (CET)
Car Env Rel
SRV Mugello Layout GP (3xDRS) SRV Mugello Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Pascal Hein in STM BMW M4 2022
Best: 01:42.110, Potential: 01:41.930
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:31.458 01:12.753 00:32.022 00:46.683 1 M
2 01:42.735 00:25.676 00:30.645 00:46.414 0 M
3 01:42.698 00:25.722 00:30.302 00:46.674 0 M
4 01:42.409 00:25.661 00:30.286 00:46.462 0 M
5 01:42.479 00:25.593
S
00:30.321 00:46.565 0 M
6 01:42.359 00:25.698 00:30.235 00:46.426 0 M
7 01:42.485 00:25.738 00:30.245 00:46.502 0 M
8 01:42.774 00:25.801 00:30.443 00:46.530 0 M
9 01:43.855 00:25.821 00:31.194 00:46.840 0 M
10 02:33.006 01:11.807 00:31.797 00:49.402 1 M
11 01:42.465 00:25.708 00:30.213 00:46.544 0 M
12 01:42.356 00:25.667 00:30.303 00:46.386 0 M
13 01:42.265 00:25.688 00:30.222 00:46.355 0 M
14 01:42.461 00:25.687 00:30.254 00:46.520 0 M
15 01:42.449 00:25.733 00:30.321 00:46.395 0 M
16 01:42.584 00:25.697 00:30.295 00:46.592 0 M
17 01:42.652 00:25.724 00:30.380 00:46.548 0 M
18 01:43.343 00:26.056 00:30.568 00:46.719 0 M
19 01:43.241 00:25.837 00:30.609 00:46.795 0 M
20 01:43.930 00:26.102 00:30.736 00:47.092 0 M
21 01:43.609 00:25.998 00:30.811 00:46.800 0 M
22 01:43.735 00:26.096 00:30.794 00:46.845 0 M
23 01:43.893 00:26.024 00:30.956 00:46.913 0 M
24 01:43.994 00:26.104 00:30.964 00:46.926 0 M
25 15:11.837 13:52.534 00:32.162 00:47.141 1 H
26 01:58.011 00:26.089 00:30.839 01:01.083 1 H
27 02:03.385 00:44.815 00:31.945 00:46.625 1 M
28 09:03.520 07:44.293 00:32.342 00:46.885 1 H
29 01:42.993 00:25.845 00:30.536 00:46.612 0 H
30 01:43.284 00:25.884 00:30.743 00:46.657 0 H
31 01:43.167 00:25.749 00:30.527 00:46.891 0 H
32 03:05.350 01:46.317 00:32.102 00:46.931 1 H
33 01:43.024 00:25.908 00:30.528 00:46.588 0 H
34 01:42.875 00:25.871 00:30.479 00:46.525 0 H
35 01:42.881 00:25.945 00:30.425 00:46.511 0 H
36 01:43.224 00:25.814 00:30.551 00:46.859 0 H
37 01:43.144 00:25.892 00:30.569 00:46.683 0 H
38 01:43.415 00:25.890 00:30.667 00:46.858 0 H
39 01:43.156 00:25.796 00:30.677 00:46.683 0 H
40 01:43.497 00:25.962 00:30.667 00:46.868 0 H
41 01:43.909 00:25.857 00:30.870 00:47.182 0 H
42 01:43.807 00:25.898 00:30.884 00:47.025 0 H
43 01:44.311 00:26.074 00:30.946 00:47.291 0 H
44 01:43.987 00:26.087 00:30.956 00:46.944 0 H
45 01:54.098 00:26.259 00:30.802 00:57.037 1 H
46 02:02.276 00:44.247 00:31.562 00:46.467 1 M
47 01:42.323 00:25.684 00:30.307 00:46.332 0 M
48 01:42.229 00:25.648 00:30.253 00:46.328 0 M
49 01:42.187 00:25.683 00:30.217 00:46.287 0 M
50 01:42.110
L
L
00:25.656 00:30.280 00:46.174
S
S
0 M
51 01:42.377 00:25.783 00:30.163
S
S
00:46.431 0 M
52 01:42.369 00:25.635 00:30.302 00:46.432 0 M
53 01:44.107 00:25.919 00:31.311 00:46.877 0 M
54 01:42.965 00:25.948 00:30.425 00:46.592 0 M
55 01:53.115 00:25.905 00:30.649 00:56.561 1 M
2nd Tim Quoos in STM Audi RS5 2022
Best: 01:42.888, Potential: 01:42.888
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:36.088 01:16.811 00:32.342 00:46.935 1 M
2 01:44.631 00:25.809 00:31.707 00:47.115 0 M
3 03:11.785 01:52.635 00:32.076 00:47.074 1 M
4 01:43.335 00:25.822 00:30.785 00:46.728 0 M
5 01:42.888
L
00:25.749
S
00:30.446
S
00:46.693
S
0 M
6 01:43.513 00:25.753 00:30.699 00:47.061 0 M
7 01:43.411 00:25.795 00:30.744 00:46.872 0 M
8 01:43.326 00:25.750 00:30.677 00:46.899 0 M
9 01:43.738 00:25.892 00:30.938 00:46.908 0 M
10 01:43.654 00:25.988 00:30.870 00:46.796 0 M
11 01:44.010 00:25.998 00:30.860 00:47.152 0 M
12 01:44.890 00:25.911 00:31.383 00:47.596 0 M
13 01:44.820 00:26.128 00:31.289 00:47.403 0 M
14 01:54.425 00:26.307 00:31.171 00:56.947 1 M
15 03:06.604 01:44.578 00:34.285 00:47.741 1 H
16 01:44.374 00:26.258 00:31.176 00:46.940 0 H
17 01:47.132 00:28.000 00:31.703 00:47.429 0 H
18 01:44.020 00:26.103 00:30.887 00:47.030 0 H
19 01:55.723 00:26.088 00:31.828 00:57.807 1 H
3rd Viktor Kaltschew in STM Mercedes C63 2022
Best: 01:43.057, Potential: 01:43.057
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:17.594 02:56.518 00:33.377 00:47.699 1 H
2 01:44.762 00:26.309 00:31.050 00:47.403 0 H
3 01:44.686 00:26.193 00:31.270 00:47.223 0 H
4 01:44.896 00:26.357 00:31.140 00:47.399 0 H
5 01:44.770 00:26.213 00:31.077 00:47.480 0 H
6 01:45.031 00:26.362 00:31.352 00:47.317 0 H
7 01:46.602 00:26.429 00:31.757 00:48.416 0 H
8 01:47.113 00:26.473 00:31.568 00:49.072 0 H
9 01:45.900 00:26.429 00:31.807 00:47.664 0 H
10 01:45.426 00:26.621 00:31.307 00:47.498 0 H
11 01:45.543 00:26.311 00:31.662 00:47.570 0 H
12 01:47.118 00:26.495 00:31.788 00:48.835 0 H
13 01:46.272 00:26.675 00:31.856 00:47.741 0 H
14 01:48.143 00:26.671 00:32.031 00:49.441 0 H
15 05:58.112 04:37.571 00:33.247 00:47.294 0 M
16 01:43.057
L
00:25.770
S
00:30.563
S
00:46.724
S
0 M
17 01:48.343 00:25.692 00:30.892 00:51.759 1 M
4th Michael Weimer in STM Audi RS5 2022
Best: 01:43.199, Potential: 01:42.988
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:45.786 01:24.754 00:32.522 00:48.510 1 M
2 01:44.652 00:26.279 00:31.042 00:47.331 0 M
3 01:44.273 00:26.001 00:31.158 00:47.114 0 M
4 03:39.045 02:19.304 00:32.229 00:47.512 0 M
5 01:44.413 00:26.135 00:31.023 00:47.255 0 M
6 01:43.370 00:25.759 00:30.636
S
00:46.975 0 M
7 01:44.078 00:26.008 00:30.888 00:47.182 0 M
8 01:44.258 00:25.882 00:31.203 00:47.173 0 M
9 01:43.466 00:25.680 00:30.757 00:47.029 0 M
10 06:27.390 05:07.469 00:32.612 00:47.309 0 M
11 01:45.164 00:26.055 00:31.517 00:47.592 0 M
12 02:16.317 00:56.473 00:32.274 00:47.570 0 M
13 01:43.972
C
00:25.928 00:30.965 00:47.079 1 M
14 01:46.179 00:25.890 00:32.251 00:48.038 0 M
15 01:43.603 00:25.604 00:30.807 00:47.192 0 M
16 01:43.348 00:25.700 00:30.718 00:46.930 0 M
17 01:44.226
C
00:26.079 00:30.788 00:47.359 1 M
18 03:27.278 02:07.772 00:32.212 00:47.294 0 M
19 01:43.588 00:25.648 00:30.924 00:47.016 0 M
20 01:47.016 00:25.971 00:30.942 00:50.103 0 M
21 07:08.778 05:40.371 00:34.690 00:53.717 0 M
22 01:43.477 00:25.812 00:30.851 00:46.814
S
0 M
23 01:44.289 00:26.056 00:31.208 00:47.025 0 M
24 01:43.873 00:25.915 00:30.933 00:47.025 0 M
25 01:43.199
L
00:25.538
S
S
00:30.785 00:46.876 0 M
26 01:46.054
C
00:27.057 00:31.855 00:47.142 1 M
27 03:16.682 01:56.961 00:32.494 00:47.227 0 M
28 01:44.884 00:25.823 00:31.546 00:47.515 0 M
5th Thomas Kneissler in STM Audi RS5 2022
Best: 01:43.341, Potential: 01:43.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:07.677 02:44.741 00:33.651 00:49.285 1 M
2 01:47.136 00:26.919 00:32.017 00:48.200 0 M
3 01:45.628 00:26.581 00:31.743 00:47.304 0 M
4 01:45.684 00:26.510 00:31.815 00:47.359 0 M
5 01:45.070 00:26.477 00:31.253 00:47.340 0 M
6 01:45.116 00:26.803 00:31.149 00:47.164 0 M
7 01:44.628 00:26.233 00:31.320 00:47.075 0 M
8 01:47.455 00:26.176 00:31.230 00:50.049 0 M
9 01:46.201 00:26.276 00:31.842 00:48.083 0 M
10 01:47.367 00:26.835 00:31.842 00:48.690 0 M
11 02:23.784 00:27.040 00:31.649 01:25.095 1 M
12 02:01.247 00:39.969 00:33.525 00:47.753 1 M
13 01:49.375 00:26.579 00:32.319 00:50.477 0 M
14 01:44.900 00:26.398 00:31.401 00:47.101 0 M
15 01:44.277 00:26.219 00:31.069 00:46.989 0 M
16 01:45.705 00:26.252 00:31.933 00:47.520 0 M
17 01:46.046 00:27.472 00:31.297 00:47.277 0 M
18 01:45.379 00:26.534 00:31.761 00:47.084 0 M
19 01:47.083 00:27.829 00:31.964 00:47.290 0 M
20 05:10.870 03:48.552 00:33.533 00:48.785 0 M
21 01:44.018 00:26.069 00:30.889 00:47.060 0 M
22 01:43.511 00:25.756 00:31.099 00:46.656 0 M
23 04:02.620 02:39.244 00:33.601 00:49.775 0 M
24 01:45.063 00:26.299 00:31.082 00:47.682 0 M
25 06:19.061 04:57.315 00:32.877 00:48.869 0 M
26 01:43.341
L
00:25.959 00:30.780 00:46.602
S
0 M
27 01:46.929 00:25.744
S
00:30.654
S
00:50.531 0 M
6th Christian Gerspacher in STM Audi RS5 2022
Best: 01:43.385, Potential: 01:43.102
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:40.260 01:20.857 00:32.045 00:47.358 1 M
2 01:43.666 00:25.802 00:30.907 00:46.957 0 M
3 01:46.273 00:26.114 00:31.096 00:49.063 0 M
4 02:38.523 01:18.044 00:33.093 00:47.386 1 M
5 01:43.508 00:25.686 00:30.960 00:46.862 0 M
6 01:43.489 00:25.828 00:30.731 00:46.930 0 M
7 02:37.083 01:03.752 00:32.266 01:01.065 1 M
8 01:44.246 00:25.947 00:30.878 00:47.421 0 M
9 01:43.736 00:25.612
S
00:30.848 00:47.276 0 M
10 02:23.944 01:04.919 00:31.883 00:47.142 1 M
11 02:40.448 01:17.244 00:35.334 00:47.870 1 M
12 01:43.385
L
00:25.823 00:30.736 00:46.826 0 M
13 01:44.141 00:26.040 00:31.144 00:46.957 0 M
14 04:20.003 03:00.245 00:32.256 00:47.502 1 M
15 01:45.158 00:26.148 00:31.081 00:47.929 0 M
16 01:44.726 00:26.264 00:31.244 00:47.218 0 M
17 01:44.115 00:26.292 00:30.798 00:47.025 0 M
18 01:44.831 00:26.023 00:31.212 00:47.596 0 M
19 02:10.750 00:26.210 00:32.590 01:11.950 0 M
20 02:51.473 01:32.080 00:32.260 00:47.133 1 M
21 01:44.682 00:26.237 00:31.469 00:46.976 0 M
22 02:25.709 01:05.731 00:32.454 00:47.524 1 M
23 01:44.150 00:26.233 00:31.009 00:46.908 0 M
24 01:53.542 00:26.152 00:31.180 00:56.210 1 M
25 03:24.279 02:04.196 00:32.554 00:47.529 1 M
26 01:43.868 00:26.217 00:30.735 00:46.916 0 M
27 01:44.002 00:26.130 00:30.860 00:47.012 0 M
28 01:44.208 00:26.034 00:31.207 00:46.967 0 M
29 01:43.675 00:25.915 00:30.695
S
00:47.065 0 M
30 01:44.288 00:26.097 00:30.937 00:47.254 0 M
31 01:53.213 00:26.084 00:39.465 00:47.664 0 M
32 01:45.757 00:26.309 00:31.141 00:48.307 0 M
33 01:46.187 00:27.419 00:31.307 00:47.461 0 M
34 01:45.833 00:26.426 00:31.221 00:48.186 0 M
35 01:47.206 00:27.286 00:31.667 00:48.253 0 M
36 01:56.672 00:26.564 00:31.851 00:58.257 1 M
37 02:06.673 00:46.407 00:32.683 00:47.583 1 H
38 01:45.467 00:26.619 00:31.247 00:47.601 0 H
39 01:47.219 00:26.287 00:31.225 00:49.707 0 H
40 01:45.158 00:26.503 00:31.203 00:47.452 0 H
41 01:45.604 00:26.822 00:31.132 00:47.650 0 H
42 03:42.094 02:18.637 00:32.513 00:50.944 1 M
43 01:43.604 00:25.853 00:30.956 00:46.795
S
0 M
7th Andreas Braun in STM Mercedes C63 2022
Best: 01:43.505, Potential: 01:43.447
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:51.624 03:30.614 00:33.233 00:47.777 1 M
2 01:45.115 00:26.253 00:31.220 00:47.642 0 M
3 01:44.221 00:25.898 00:30.987 00:47.336 0 M
4 01:44.091 00:26.222 00:30.889
S
00:46.980 0 M
5 01:44.174 00:25.947 00:31.049 00:47.178 0 M
6 01:43.701 00:25.846 00:30.974 00:46.881 0 M
7 01:43.896 00:26.059 00:30.983 00:46.854 0 M
8 01:47.509 00:25.951 00:31.117 00:50.441 0 M
9 01:45.022 00:26.515 00:31.235 00:47.272 0 M
10 01:44.127 00:25.962 00:31.095 00:47.070 0 M
11 02:09.879 00:26.252 00:31.455 01:12.172 1 H
12 01:56.243 00:35.122 00:33.246 00:47.875 1 H
13 01:44.547 00:26.161 00:31.158 00:47.228 0 H
14 01:45.444 00:26.212 00:31.874 00:47.358 0 H
15 01:44.521 00:26.181 00:31.229 00:47.111 0 H
16 01:45.342 00:26.223 00:31.711 00:47.408 0 H
17 01:44.710 00:26.136 00:31.198 00:47.376 0 H
18 01:46.242 00:26.335 00:32.008 00:47.899 0 H
19 01:45.353 00:26.460 00:31.684 00:47.209 0 H
20 01:46.054 00:25.999 00:32.418 00:47.637 0 H
21 01:45.126 00:26.168 00:31.555 00:47.403 0 H
22 01:45.803 00:26.703 00:31.693 00:47.407 0 H
23 01:45.024 00:26.202 00:31.563 00:47.259 0 H
24 01:45.317 00:26.163 00:31.590 00:47.564 0 H
25 02:07.902 00:26.638 00:31.882 01:09.382 1 M
26 01:54.525 00:34.744 00:32.274 00:47.507 1 M
27 01:44.463 00:26.257 00:31.122 00:47.084 0 M
28 01:44.264 00:25.884 00:31.122 00:47.258 0 M
29 01:44.285 00:26.179 00:30.893 00:47.213 0 M
30 01:44.025 00:26.026 00:31.059 00:46.940 0 M
31 01:43.999 00:25.987 00:30.910 00:47.102 0 M
32 01:43.505
L
00:25.718
S
00:30.947 00:46.840
S
0 M
33 01:54.784 00:26.035 00:39.407 00:49.342 0 M
34 01:44.500 00:26.052 00:31.247 00:47.201 0 M
35 01:44.451 00:26.007 00:31.113 00:47.331 0 M
36 01:45.214 00:26.311 00:31.495 00:47.408 0 M
37 01:44.716 00:26.232 00:31.310 00:47.174 0 M
8th Philipp Krauslach in STM Mercedes C63 2022
Best: 01:43.562, Potential: 01:43.262
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:26.438 02:00.416 00:37.126 00:48.896 1 H
2 01:45.770 00:26.589 00:31.851 00:47.330 0 H
3 01:45.933 00:26.503 00:31.856 00:47.574 0 H
4 01:45.210 00:26.806 00:30.938 00:47.466 0 H
5 01:54.354 00:31.018 00:34.407 00:48.929 0 H
6 01:45.930 00:26.604 00:31.697 00:47.629 0 H
7 01:45.165 00:26.451 00:31.031 00:47.683 0 H
8 01:45.506 00:26.689 00:31.019 00:47.798 0 H
9 01:44.623 00:26.328 00:30.879 00:47.416 0 H
10 01:52.132 00:33.211 00:31.594 00:47.327 0 H
11 01:45.652 00:26.493 00:31.373 00:47.786 0 H
12 04:51.947 03:30.255 00:33.605 00:48.087 0 H
13 01:46.585 00:26.553 00:32.440 00:47.592 0 H
14 03:35.119 02:12.540 00:34.578 00:48.001 0 H
15 01:47.416 00:26.798 00:32.869 00:47.749 0 H
16 01:45.108 00:26.326 00:31.383 00:47.399 0 H
17 04:11.298 02:47.930 00:34.381 00:48.987 0 H
18 01:46.177 00:26.406 00:32.003 00:47.768 0 H
19 01:46.664 00:26.479 00:31.968 00:48.217 0 H
20 01:46.553 00:27.039 00:32.062 00:47.452 0 H
21 03:43.661 02:21.253 00:33.872 00:48.536 0 H
22 04:46.923 03:23.655 00:35.036 00:48.232 0 H
23 01:45.930 00:26.253 00:31.662 00:48.015 0 H
24 01:45.786 00:26.738 00:31.361 00:47.687 0 H
25 01:45.106 00:26.405 00:31.325 00:47.376 0 H
26 03:16.683 01:54.818 00:33.773 00:48.092 0 H
27 01:46.541 00:26.968 00:32.144 00:47.429 0 H
28 01:55.495 00:34.643 00:33.066 00:47.786 0 H
29 04:23.994 03:00.757 00:34.340 00:48.897 0 H
30 01:46.532 00:26.954 00:31.946 00:47.632 0 H
31 01:45.667 00:26.471 00:31.527 00:47.669 0 H
32 03:34.939 02:11.459 00:34.115 00:49.365 0 H
33 02:54.552 01:30.028 00:36.932 00:47.592 0 M
34 01:44.822 00:26.347 00:30.852 00:47.623 0 M
35 01:44.969 00:26.381 00:31.393 00:47.195 0 M
36 01:44.060 00:25.914 00:31.131 00:47.015 0 M
37 01:44.155 00:25.958 00:31.168 00:47.029 0 M
38 01:49.058 00:25.736
S
00:30.835
S
00:52.487 0 M
39 01:44.092 00:26.075 00:30.879 00:47.138 0 M
40 01:44.437 00:25.849 00:31.518 00:47.070 0 M
41 07:42.596 06:16.678 00:37.953 00:47.965 0 M
42 01:44.709 00:26.318 00:31.478 00:46.913 0 M
43 01:43.562
L
00:25.883 00:30.988 00:46.691
S
0 M
44 01:46.049 00:26.467 00:31.959 00:47.623 0 M
45 01:52.304 00:32.852 00:32.094 00:47.358 0 M
46 01:45.888 00:26.363 00:31.005 00:48.520 0 M
47 01:44.179 00:26.185 00:30.884 00:47.110 0 M
48 04:03.896 02:42.280 00:33.817 00:47.799 0 M
49 01:45.752 00:26.170 00:31.927 00:47.655 0 M
9th Steffen Maschke in STM Audi RS5 2022
Best: 01:43.602, Potential: 01:43.525
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:30.251 01:05.598 00:36.355 00:48.298 1 M
2 01:45.077 00:26.246 00:31.140 00:47.691 0 M
3 02:00.738 00:41.317 00:31.559 00:47.862 0 M
4 01:45.610
C
00:26.054 00:31.339 00:48.217 1 M
5 01:44.194 00:25.871 00:31.033 00:47.290 0 M
6 12:26.051 11:04.331 00:33.544 00:48.176 0 M
7 01:44.956 00:26.336 00:31.258 00:47.362 0 M
8 01:44.779 00:26.051 00:31.077 00:47.651 0 M
9 01:44.153 00:26.043 00:31.031 00:47.079 0 M
10 01:48.079 00:28.771 00:31.617 00:47.691 0 M
11 03:47.017 02:09.822 00:46.809 00:50.386 0 M
12 01:44.676 00:26.133 00:31.243 00:47.300 0 M
13 01:44.625 00:26.153 00:31.114 00:47.358 0 M
14 02:50.387 01:25.626 00:33.840 00:50.921 0 M
15 01:44.475 00:25.977 00:30.950 00:47.548 0 M
16 01:43.868 00:25.883 00:30.951 00:47.034
S
0 M
17 01:49.262 00:27.992 00:34.084 00:47.186 0 M
18 01:43.602
L
00:25.662
S
00:30.829
S
00:47.111 0 M
19 03:02.933 01:39.819 00:34.055 00:49.059 0 H
20 01:46.185 00:26.926 00:31.262 00:47.997 0 H
21 01:45.160 00:26.365 00:31.275 00:47.520 0 H
22 10:11.934 08:51.330 00:32.723 00:47.881 0 M
23 01:44.647 00:25.964 00:31.145 00:47.538 0 M
10th Benedikt Hoepfer in STM BMW M4 2022
Best: 01:43.949, Potential: 01:43.591
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:32.605 01:09.112 00:34.830 00:48.663 1 H
2 01:46.363 00:26.411 00:31.959 00:47.993 0 H
3 01:46.440 00:26.627 00:32.000 00:47.813 0 H
4 01:48.027 00:27.148 00:32.220 00:48.659 0 H
5 01:45.817 00:26.135 00:31.564 00:48.118 0 H
6 01:45.953 00:26.015 00:31.865 00:48.073 0 H
7 01:45.347 00:26.071 00:31.491 00:47.785 0 H
8 02:02.290 00:26.400 00:31.747 01:04.143 0 H
9 03:01.522 01:36.886 00:36.725 00:47.911 0 M
10 02:03.702 00:26.061 00:32.372 01:05.269 0 M
11 01:48.508 00:26.064 00:34.227 00:48.217 0 M
12 01:46.138 00:27.572 00:31.123 00:47.443 0 M
13 02:21.319 00:59.793 00:33.880 00:47.646 0 M
14 01:44.315 00:26.043 00:30.932 00:47.340 0 M
15 01:48.277 00:25.868 00:31.055 00:51.354 0 M
16 07:02.088 05:35.265 00:38.331 00:48.492 0 M
17 01:43.949
L
00:26.077 00:30.946 00:46.926
S
0 M
18 01:57.228 00:25.895 00:31.690 00:59.643 0 M
19 01:49.975 00:25.955 00:32.711 00:51.309 0 M
20 01:43.974 00:25.836 00:31.162 00:46.976 0 M
21 02:38.436 01:18.016 00:33.097 00:47.323 0 M
22 02:08.020 00:34.186 00:31.275 01:02.559 0 M
23 01:44.248 00:25.818
S
00:30.847
S
00:47.583 0 M
24 01:46.741 00:25.917 00:31.031 00:49.793 0 M
25 01:46.093 00:25.867 00:31.077 00:49.149 0 M
26 04:12.532 02:50.556 00:34.861 00:47.115 0 M
27 01:44.212 00:26.065 00:31.171 00:46.976 0 M
28 01:46.917 00:25.907 00:31.536 00:49.474 0 M
29 01:50.929 00:30.186 00:32.642 00:48.101 0 M
30 01:45.836 00:27.406 00:31.361 00:47.069 0 M
31 02:40.896 01:18.955 00:33.723 00:48.218 0 M
32 01:50.749 00:30.653 00:32.531 00:47.565 0 M
33 01:44.302 00:26.079 00:31.068 00:47.155 0 M
11th Fred Dohnke in STM Mercedes C63 2022
Best: 01:43.955, Potential: 01:43.195
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:41.825 01:19.984 00:33.538 00:48.303 1 M
2 01:44.843 00:25.932 00:31.086 00:47.825 0 M
3 01:44.043 00:25.846 00:30.847 00:47.350 0 M
4 01:44.224 00:25.839 00:31.549 00:46.836 0 M
5 01:44.406 00:26.029 00:31.500 00:46.877 0 M
6 01:44.161 00:25.973 00:31.446 00:46.742
S
0 M
7 01:43.955
L
00:25.903 00:30.893 00:47.159 0 M
8 01:46.851 00:26.381 00:31.033 00:49.437 0 M
9 01:45.520 00:26.819 00:31.235 00:47.466 0 M
10 01:44.941 00:26.267 00:31.325 00:47.349 0 M
11 01:45.873 00:26.272 00:31.522 00:48.079 0 M
12 02:07.935 00:26.491 00:32.063 01:09.381 1 H
13 01:57.157 00:37.826 00:32.004 00:47.327 1 H
14 01:45.387 00:26.295 00:31.671 00:47.421 0 H
15 01:45.043 00:26.144 00:31.703 00:47.196 0 H
16 01:44.428 00:26.281 00:30.847 00:47.300 0 H
17 01:44.478 00:26.186 00:31.181 00:47.111 0 H
18 01:45.394 00:26.082 00:31.032 00:48.280 0 H
19 01:44.226 00:25.984 00:31.109 00:47.133 0 H
20 01:45.192 00:26.338 00:31.370 00:47.484 1 H
21 01:45.272 00:26.221 00:31.181 00:47.870 0 H
22 01:46.157 00:26.512 00:31.846 00:47.799 0 H
23 01:45.968 00:26.368 00:32.179 00:47.421 0 H
24 01:46.850 00:26.588 00:32.144 00:48.118 0 H
25 01:46.436 00:26.462 00:31.923 00:48.051 0 H
26 02:08.680 00:26.417 00:31.743 01:10.520 1 M
27 01:56.659 00:37.194 00:32.242 00:47.223 1 M
28 01:44.266 00:26.025 00:31.032 00:47.209 0 M
29 01:44.140 00:25.799
S
00:30.654
S
00:47.687 0 M
30 01:43.991 00:26.051 00:30.799 00:47.141 0 M
31 01:46.140 00:27.263 00:31.734 00:47.143 0 M
32 01:44.089 00:26.091 00:31.005 00:46.993 0 M
33 01:43.965 00:25.818 00:31.234 00:46.913 0 M
34 01:44.548 00:26.054 00:31.293 00:47.201 0 M
35 01:44.626 00:25.984 00:31.072 00:47.570 0 M
36 01:45.148 00:26.177 00:31.410 00:47.561 0 M
37 01:45.404 00:26.335 00:31.594 00:47.475 0 M
12th Eileen Weimer in STM Audi RS5 2022
Best: 01:44.098, Potential: 01:44.013
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:26.665 01:06.921 00:31.877 00:47.867 1 M
2 04:48.883 03:29.161 00:31.752 00:47.970 0 M
3 01:44.793 00:26.502 00:30.923 00:47.368 0 M
4 01:45.156 00:26.748 00:31.045 00:47.363 0 M
5 01:44.098
L
00:26.135 00:30.681 00:47.282
S
0 M
6 01:44.527 00:26.448 00:30.672
S
00:47.407 0 M
7 01:44.756 00:26.330 00:30.952 00:47.474 0 M
8 04:19.279 02:53.919 00:37.215 00:48.145 0 H
9 01:45.089 00:26.191 00:31.126 00:47.772 0 H
10 01:45.357 00:26.382 00:31.090 00:47.885 0 H
11 01:44.589 00:26.275 00:30.875 00:47.439 0 H
12 01:44.323 00:26.059
S
00:30.924 00:47.340 0 H
13 01:44.756 00:26.114 00:30.852 00:47.790 0 H
14 02:27.548 01:02.211 00:37.098 00:48.239 0 H
15 01:45.771 00:26.881 00:31.334 00:47.556 0 H
16 01:45.178 00:26.441 00:31.086 00:47.651 0 H
17 01:45.801 00:26.376 00:31.450 00:47.975 0 H
18 01:45.268 00:26.289 00:30.915 00:48.064 0 H
19 01:44.873 00:26.430 00:31.081 00:47.362 0 H
20 01:45.046 00:26.211 00:31.189 00:47.646 0 H
21 01:45.018 00:26.227 00:31.113 00:47.678 0 H
22 01:45.794 00:26.433 00:31.418 00:47.943 0 H
23 01:46.320 00:26.976 00:31.414 00:47.930 0 H
24 05:23.365 03:57.667 00:35.658 00:50.040 0 H
25 01:45.355 00:26.610 00:30.919 00:47.826 0 H
13th Jean Ora in STM BMW M4 2022
Best: 01:44.642, Potential: 01:44.577
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:05.643 02:40.080 00:34.893 00:50.670 1 M
2 01:46.686 00:27.089 00:31.505 00:48.092 0 M
3 01:44.642
L
00:26.293 00:31.086
S
00:47.263
S
0 M
4 01:44.735 00:26.228
S
00:31.096 00:47.411 0 M
5 01:47.346 00:26.265 00:31.985 00:49.096 0 M
6 06:14.570 04:53.049 00:33.551 00:47.970 0 M
7 01:45.865 00:26.561 00:31.375 00:47.929 0 M
8 01:46.395 00:26.817 00:31.608 00:47.970 0 M
9 01:46.712 00:26.459 00:31.473 00:48.780 0 M
10 01:46.144 00:26.687 00:31.618 00:47.839 0 M
11 01:45.765 00:26.645 00:31.523 00:47.597 0 M
12 01:46.415 00:26.815 00:31.720 00:47.880 0 M
13 05:32.962 04:09.465 00:33.695 00:49.802 0 M
14 03:10.814 01:49.337 00:32.968 00:48.509 0 M
15 05:58.715 04:37.828 00:32.877 00:48.010 0 M
16 01:46.927 00:26.607 00:31.383 00:48.937 0 M
14th Daniel Amann in STM BMW M4 2022
Best: 01:44.770, Potential: 01:44.567
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:43.512 04:42.034 01:09.799 00:51.679 1 M
2 01:49.196 00:27.719 00:32.617 00:48.860 0 M
3 01:48.880 00:27.133 00:33.052 00:48.695 0 M
4 01:49.108 00:29.323 00:32.229 00:47.556 0 M
5 01:47.861 00:26.776 00:32.238 00:48.847 0 M
6 01:49.528 00:26.274 00:31.950 00:51.304 0 M
7 01:45.962 00:26.412 00:31.643 00:47.907 0 M
8 01:55.913 00:26.922 00:36.130 00:52.861 0 M
9 03:04.597 01:41.073 00:34.919 00:48.605 0 M
10 03:39.835 02:15.338 00:35.775 00:48.722 0 M
11 01:53.122 00:28.472 00:32.612 00:52.038 0 M
12 01:47.682
C
00:27.096 00:32.724 00:47.862 1 M
13 02:15.072 00:49.400 00:37.521 00:48.151 0 M
14 01:46.236 00:26.334 00:31.913 00:47.989 0 M
15 01:46.712 00:26.549 00:32.328 00:47.835 0 M
16 04:40.901 03:00.614 00:48.852 00:51.435 0 M
17 01:46.770 00:26.237 00:31.383 00:49.150 0 M
18 06:41.129 05:08.240 00:35.861 00:57.028 0 M
19 01:46.945 00:26.435 00:31.852 00:48.658 0 M
20 01:58.401 00:27.892 00:43.011 00:47.498 0 M
21 01:47.356 00:26.586 00:32.759 00:48.011 0 M
22 01:52.735 00:31.650 00:33.210 00:47.875 0 M
23 01:47.700 00:26.385 00:31.742 00:49.573 0 M
24 02:57.984 01:35.858 00:33.985 00:48.141 0 M
25 01:47.437 00:26.307 00:31.513 00:49.617 0 M
26 01:44.770
L
00:26.105
S
00:31.577 00:47.088
S
0 M
27 09:24.351 07:52.388 00:34.533 00:57.430 0 M
28 01:46.677 00:26.639 00:32.135 00:47.903 0 M
29 01:45.389 00:26.352 00:31.374
S
00:47.663 0 M
30 03:48.107 02:25.245 00:34.479 00:48.383 0 M
15th Uemit Zobu in STM BMW M4 2022
Best: 01:44.917, Potential: 01:44.548
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:20.387 00:54.505 00:35.685 00:50.197 1 M
2 01:47.413 00:27.047 00:32.373 00:47.993 0 M
3 01:46.926 00:26.673 00:32.084 00:48.169 0 M
4 03:16.658 01:54.371 00:33.296 00:48.991 0 M
5 01:46.716 00:26.818 00:32.031 00:47.867 0 M
6 01:45.885 00:26.329 00:31.964 00:47.592 0 M
7 03:23.949 01:57.067 00:33.529 00:53.353 0 M
8 01:47.711 00:26.774 00:32.526 00:48.411 0 M
9 01:45.312 00:26.156 00:31.514 00:47.642 0 M
10 01:45.327 00:26.266 00:31.347 00:47.714 0 M
11 01:47.356 00:26.689 00:32.436 00:48.231 0 M
12 01:53.707 00:26.384 00:31.680 00:55.643 1 M
13 08:54.111 07:31.185 00:34.461 00:48.465 0 M
14 01:45.624 00:26.221 00:31.622 00:47.781 0 M
15 01:45.327 00:26.347 00:31.194
S
00:47.786 0 M
16 01:45.795 00:26.424 00:31.445 00:47.926 0 M
17 01:44.917
L
00:26.023
S
00:31.320 00:47.574 0 M
18 02:21.134 01:00.094 00:31.851 00:49.189 0 M
19 01:44.925 00:26.264 00:31.330 00:47.331
S
0 M
20 01:45.687 00:26.302 00:31.675 00:47.710 0 M
21 08:25.396 07:02.204 00:34.102 00:49.090 1 H
22 01:48.537 00:27.361 00:32.530 00:48.646 0 H
23 01:47.140 00:26.747 00:32.319 00:48.074 0 H
24 01:49.356 00:28.990 00:32.220 00:48.146 0 H
25 01:47.369 00:26.824 00:31.937 00:48.608 0 H
16th Dirk Wiedemann in STM Mercedes C63 2022
Best: 01:47.784, Potential: 01:47.311
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:39.670 01:14.652 00:34.681 00:50.337 1 M
2 01:48.451 00:27.023 00:32.572 00:48.856 0 M
3 01:59.696 00:26.997 00:43.339 00:49.360 0 M
4 04:37.333 03:06.366 00:34.622 00:56.345 0 H
5 01:51.965 00:29.408 00:33.192 00:49.365 0 H
6 01:48.732 00:27.079 00:32.819 00:48.834 0 H
7 01:50.497 00:26.554
S
00:32.877 00:51.066 0 H
8 08:23.304 06:59.225 00:34.862 00:49.217 0 H
9 01:47.784
L
00:26.810 00:32.657 00:48.317
S
0 H
10 01:48.675 00:26.734 00:32.580 00:49.361 0 H
11 01:51.212 00:27.333 00:34.803 00:49.076 0 H
12 01:54.879 00:32.825 00:33.120 00:48.934 0 H
13 03:35.635 02:12.214 00:34.389 00:49.032 0 H
14 01:48.248 00:27.015 00:32.471 00:48.762 0 H
15 05:04.630 03:40.718 00:34.281 00:49.631 0 H
16 01:48.770 00:27.069 00:32.562 00:49.139 0 H
17 01:48.597 00:26.652 00:33.003 00:48.942 0 H
18 01:48.027 00:26.590 00:32.440
S
00:48.997 0 H
19 07:49.224 06:24.344 00:34.583 00:50.297 0 H
20 01:48.423 00:27.045 00:32.715 00:48.663 0 H
21 08:31.294 07:04.601 00:37.076 00:49.617 0 H
17th Dieter Suessenguth in STM Mercedes C63 2022
Best: 01:47.996, Potential: 01:47.613
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:27.725 02:02.640 00:35.360 00:49.725 1 M
2 01:50.392 00:27.412 00:33.179 00:49.801 0 M
3 01:50.201 00:27.069 00:33.893 00:49.239 0 M
4 01:49.762 00:27.174 00:33.291 00:49.297 0 M
5 01:49.409 00:27.005 00:33.048 00:49.356 0 M
6 01:49.038 00:27.119 00:32.851 00:49.068 0 M
7 01:49.723 00:26.999 00:33.624 00:49.100 0 M
8 01:49.927 00:26.992 00:33.943 00:48.992 0 M
9 01:48.770 00:26.704 00:33.111 00:48.955 0 M
10 09:53.823 08:28.336 00:35.509 00:49.978 0 M
11 01:49.111 00:26.936 00:32.976 00:49.199 0 M
12 01:48.176 00:26.767 00:32.683
S
00:48.726 0 M
13 01:49.307 00:26.530 00:33.048 00:49.729 0 M
14 01:48.479 00:26.660 00:33.193 00:48.626 0 M
15 01:48.605 00:26.984 00:33.147 00:48.474 0 M
16 05:48.721 04:24.350 00:34.956 00:49.415 0 M
17 01:48.617 00:26.947 00:33.210 00:48.460
S
0 M
18 01:49.946 00:26.742 00:34.609 00:48.595 0 M
19 01:49.029 00:26.832 00:33.313 00:48.884 0 M
20 01:48.769 00:26.644 00:33.197 00:48.928 0 M
21 01:48.275 00:26.726 00:32.778 00:48.771 0 M
22 05:49.922 04:26.655 00:34.379 00:48.888 0 M
23 01:48.731 00:26.719 00:33.255 00:48.757 0 M
24 01:55.184 00:26.751 00:33.227 00:55.206 0 M
25 03:53.355 02:22.734 00:38.839 00:51.782 0 M
26 01:49.232 00:26.702 00:32.846 00:49.684 0 M
27 04:03.507 02:40.130 00:34.349 00:49.028 0 M
28 01:48.526 00:26.824 00:32.814 00:48.888 0 M
29 01:47.996
L
00:26.470
S
00:32.746 00:48.780 0 M
30 01:48.749 00:26.737 00:32.827 00:49.185 0 M
31 01:48.219 00:26.607 00:32.858 00:48.754 0 M
32 01:50.115 00:27.755 00:33.638 00:48.722 0 M
33 01:48.355 00:26.559 00:32.948 00:48.848 0 M
18th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:48.430, Potential: 01:47.866
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:16.116 01:45.647 00:39.268 00:51.201 1 M
2 01:53.584 00:28.655 00:33.193 00:51.736 0 M
3 01:56.258 00:30.259 00:34.375 00:51.624 0 M
4 01:54.815 00:28.231 00:34.447 00:52.137 0 M
5 01:57.515 00:27.772 00:34.744 00:54.999 0 M
6 10:00.599 08:31.545 00:36.810 00:52.244 0 M
7 01:51.882 00:28.685 00:33.400 00:49.797 0 M
8 01:51.591 00:27.612 00:34.379 00:49.600 0 M
9 05:18.266 03:51.291 00:35.963 00:51.012 0 M
10 01:53.708 00:27.579 00:35.792 00:50.337 0 M
11 01:49.424 00:27.317 00:32.851 00:49.256 0 M
12 01:49.240 00:27.570 00:32.661 00:49.009 0 M
13 01:49.405 00:27.653 00:32.652 00:49.100 0 M
14 01:48.591 00:27.069 00:32.296
S
00:49.226 0 M
15 01:51.834 00:28.520 00:32.927 00:50.387 0 M
16 01:51.109 00:27.440 00:32.504 00:51.165 0 M
17 02:33.834 00:27.015 00:32.507 01:34.312 1 H
18 02:07.458 00:38.533 00:37.026 00:51.899 1 H
19 01:51.829 00:28.133 00:33.939 00:49.757 0 H
20 01:49.855 00:27.726 00:33.210 00:48.919 0 H
21 01:50.224 00:27.483 00:33.471 00:49.270 0 H
22 03:05.387 01:39.901 00:35.249 00:50.237 1 M
23 01:48.430
L
00:27.137 00:32.436 00:48.857
S
0 M
24 01:49.621 00:26.713
S
00:33.350 00:49.558 0 M
25 03:52.412 02:13.962 00:45.571 00:52.879 1 M
26 03:54.497 02:26.981 00:36.739 00:50.777 0 M
27 02:24.340 00:42.825 00:49.581 00:51.934 0 M
28 02:05.043 00:27.987 00:43.604 00:53.452 0 M
29 04:59.295 03:32.993 00:36.226 00:50.076 0 M
30 01:54.889 00:27.387 00:32.967 00:54.535 0 M
31 01:52.038 00:27.784 00:34.169 00:50.085 0 M
32 02:10.490 00:28.917 00:35.491 01:06.082 0 M
33 01:57.227 00:31.633 00:34.812 00:50.782 0 M
34 01:55.851 00:28.137 00:36.665 00:51.049 0 M
35 01:50.794 00:27.504 00:33.376 00:49.914 0 M
36 01:50.391 00:27.402 00:32.949 00:50.040 0 M
37 01:52.508 00:27.720 00:34.658 00:50.130 0 M
38 01:56.800 00:28.577 00:33.948 00:54.275 0 M
39 01:54.765 00:27.784 00:33.678 00:53.303 0 M
40 01:53.368 00:27.557 00:34.416 00:51.395 0 M
41 02:50.007 00:28.032 00:42.570 01:39.405 1 H
42 02:06.247 00:38.043 00:36.143 00:52.061 1 H
43 02:39.346 00:29.800 01:07.995 01:01.551 0 H
44 01:53.487 00:28.545 00:33.934 00:51.008 0 H
45 01:55.236 00:27.328 00:35.789 00:52.119 0 H
46 02:21.430 00:34.254 00:56.096 00:51.080 0 H
47 01:58.536 00:27.874 00:34.020 00:56.642 0 H
48 03:25.020 01:59.672 00:35.262 00:50.086 0 M
49 01:51.248 00:27.935 00:33.354 00:49.959 0 M
50 01:49.244 00:27.182 00:32.909 00:49.153 0 M