SRV Melbourne Layout GP (3xDRS)

24 Jan 22 22:57 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 Tim Quoos Stiftung Plankentest I STM Audi RS5 2022 01:45.546
Tyre: S 		01:49.743 68 laps / 19 cuts
2 Pascal Hein Stiftung Plankentest II STM BMW M4 2022 01:45.763
Tyre: M 		01:46.094 5 laps / 1 cuts
3 Jean Ora HabAuchKeins STM BMW M4 2022 01:45.932
Tyre: M 		01:50.880 35 laps / 8 cuts
4 Fred Dohnke BMS Racing STM Mercedes C63 2022 01:46.283
Tyre: S 		02:27.715 21 laps / 5 cuts
5 Christian Gerspacher Stiftung Plankentest I STM Audi RS5 2022 01:46.437
Tyre: M 		01:49.832 44 laps / 9 cuts
6 Thomas Kneissler Horizont Personalmanagement Racing STM Audi RS5 2022 01:46.530
Tyre: S 		01:58.533 62 laps / 17 cuts
7 Jens Bauer HabAuchKeins STM BMW M4 2022 01:46.643
Tyre: S 		02:27.049 23 laps / 5 cuts
8 Michael Weimer SRV Jägermeister eSport II STM Audi RS5 2022 01:46.953
Tyre: S 		02:44.595 36 laps / 14 cuts
9 Andreas Braun BMS Racing STM Mercedes C63 2022 01:46.982
Tyre: M 		02:31.809 14 laps / 4 cuts
10 Uemit Zobu CRM Motorsport STM BMW M4 2022 01:47.573
Tyre: S 		02:23.296 23 laps / 10 cuts
11 Micha Schloz HabKeins STM BMW M4 2022 01:47.824
Tyre: M 		02:20.390 28 laps / 6 cuts
12 Philipp Krauslach Micro-Machines Sim Racing I STM Mercedes C63 2022 01:48.112
Tyre: S 		01:51.776 18 laps / 5 cuts
13 Eileen Weimer SRV Jägermeister eSport I STM Audi RS5 2022 01:48.183
Tyre: M 		02:05.820 20 laps / 5 cuts
14 Steffen Maschke SRV Jägermeister eSport I STM Audi RS5 2022 01:48.343
Tyre: S 		01:58.082 23 laps / 7 cuts
15 Lars Borkowski CT Motorsport STM Mercedes C63 2022 01:48.343
Tyre: S 		01:49.585 12 laps / 2 cuts
16 Daniel Amann Horizont Personalmanagement Racing STM BMW M4 2022 01:49.324
Tyre: S 		02:55.732 28 laps / 10 cuts
17 Dirk Wiedemann HW Performance STM Mercedes C63 2022 01:50.031
Tyre: S 		02:48.679 30 laps / 5 cuts
18 Dieter Suessenguth Bayern Racing STM Mercedes C63 2022 01:50.883
Tyre: S 		01:57.492 55 laps / 9 cuts
19 Herbert Aeckerle Bayern Racing STM Mercedes C63 2022 01:53.370
Tyre: S 		02:05.663 75 laps / 24 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Herbert Aeckerle Collision with environment 32.7 X: 0.0 Y: -0.4 Z: 2.4 X: -389.2 Y: 2.9 Z: 24.8 18:01:19 (CET)
2 Daniel Amann Collision with environment 44.1 X: -0.9 Y: -0.4 Z: 2.2 X: 655.5 Y: 3.3 Z: 810.2 18:06:36 (CET)
3 Herbert Aeckerle Collision with environment 24.7 X: 1.0 Y: -0.4 Z: 1.8 X: 88.2 Y: 3.2 Z: -669.8 18:06:54 (CET)
4 Herbert Aeckerle Collision with environment 59.7 X: -0.9 Y: -0.4 Z: 2.2 X: 659.5 Y: 3.2 Z: 808.5 18:11:24 (CET)
5 Daniel Amann Collision with environment 14.4 X: -0.9 Y: -0.4 Z: 2.2 X: 250.7 Y: 1.9 Z: 745.8 18:12:41 (CET)
6 Thomas Kneissler Collision with environment 81.6 X: 0.5 Y: 0.1 Z: 2.1 X: -605.0 Y: 3.5 Z: -520.5 18:15:34 (CET)
7 Daniel Amann Collision with environment 18.1 X: -0.9 Y: -0.4 Z: 2.2 X: 47.4 Y: 3.4 Z: -369.0 18:15:56 (CET)
8 Daniel Amann Collision with environment 22.9 X: 0.9 Y: -0.4 Z: -1.9 X: -397.4 Y: 2.5 Z: 46.9 18:16:36 (CET)
9 Thomas Kneissler Collision with environment 11.3 X: 0.9 Y: -0.3 Z: 2.2 X: 284.5 Y: 2.9 Z: 753.2 18:16:54 (CET)
10 Daniel Amann Collision with environment 16.4 X: 0.9 Y: -0.4 Z: 2.2 X: -72.0 Y: 3.4 Z: -824.6 18:17:56 (CET)
11 Herbert Aeckerle Collision with environment 18.5 X: -0.9 Y: -0.4 Z: 2.2 X: -216.4 Y: 2.7 Z: -853.4 18:19:41 (CET)
12 Herbert Aeckerle Collision with environment 1.7 X: -0.9 Y: -0.4 Z: 2.2 X: -212.1 Y: 2.7 Z: -850.0 18:19:46 (CET)
13 Daniel Amann Collision with environment 20.7 X: -0.9 Y: -0.4 Z: 2.2 X: 46.1 Y: 3.5 Z: -366.0 18:23:06 (CET)
14 Herbert Aeckerle Collision with environment 50.0 X: -0.7 Y: -0.4 Z: 2.2 X: 455.9 Y: 2.3 Z: 834.4 18:24:51 (CET)
15 Daniel Amann Collision with environment 20.7 X: -0.9 Y: -0.4 Z: 2.2 X: -649.7 Y: 2.8 Z: -414.2 18:26:26 (CET)
16 Dirk Wiedemann Collision with environment 36.6 X: -0.8 Y: -0.1 Z: 2.2 X: 51.0 Y: 3.8 Z: -375.3 18:33:39 (CET)
17 Daniel Amann Collision with environment 23.2 X: -0.9 Y: -0.4 Z: 2.2 X: -650.3 Y: 2.9 Z: -414.0 18:42:53 (CET)
18 Herbert Aeckerle Collision with environment 13.5 X: 1.0 Y: -0.4 Z: 1.8 X: -63.3 Y: 3.1 Z: 494.2 18:48:28 (CET)
19 Daniel Amann Collision with environment 24.3 X: 0.9 Y: -0.4 Z: -1.9 X: -397.7 Y: 2.5 Z: 46.2 18:56:44 (CET)
20 Fred Dohnke Collision with environment 14.2 X: 0.7 Y: -0.4 Z: 2.3 X: 300.8 Y: 3.0 Z: 742.6 18:58:42 (CET)
21 Fred Dohnke Collision with environment 9.4 X: 0.9 Y: -0.4 Z: 2.2 X: 37.4 Y: 2.8 Z: -52.4 19:03:58 (CET)
22 Daniel Amann Collision with environment 11.3 X: 0.9 Y: -0.4 Z: 2.2 X: -607.1 Y: 2.9 Z: -509.8 19:08:44 (CET)
23 Herbert Aeckerle Collision with environment 134.8 X: -0.8 Y: -0.4 Z: 2.2 X: -487.8 Y: 3.5 Z: -745.4 19:13:54 (CET)
24 Herbert Aeckerle Collision with environment 9.5 X: -1.0 Y: -0.4 Z: 1.8 X: -319.1 Y: 2.9 Z: -823.7 19:13:59 (CET)
25 Fred Dohnke Daniel Amann Collision with car 37.8 X: -0.5 Y: -0.3 Z: 2.3 X: 469.1 Y: 2.6 Z: 858.0 19:14:03 (CET)
26 Daniel Amann Fred Dohnke Collision with car 39.0 X: 0.2 Y: -0.2 Z: -2.4 X: 469.4 Y: 2.6 Z: 858.0 19:14:04 (CET)
27 Daniel Amann Collision with environment 7.3 X: 0.0 Y: -0.4 Z: 2.4 X: 439.7 Y: 2.3 Z: 805.4 19:14:04 (CET)
28 Herbert Aeckerle Collision with environment 7.0 X: 0.9 Y: -0.4 Z: -1.9 X: -9.9 Y: 3.5 Z: -801.0 19:14:14 (CET)
29 Daniel Amann Collision with environment 28.8 X: 0.0 Y: -0.4 Z: 2.4 X: 620.3 Y: 3.0 Z: 824.6 19:18:19 (CET)
30 Dieter Suessenguth Collision with environment 4.3 X: 0.9 Y: -0.4 Z: 2.2 X: -608.8 Y: 2.7 Z: -505.6 19:21:46 (CET)
31 Dieter Suessenguth Collision with environment 0.0 X: 0.9 Y: -0.4 Z: 2.2 X: -608.2 Y: 2.7 Z: -506.9 19:21:51 (CET)
32 Dieter Suessenguth Collision with environment 18.5 X: 0.7 Y: -0.4 Z: 2.3 X: 66.0 Y: 3.8 Z: -398.4 19:26:36 (CET)
33 Michael Weimer Collision with environment 11.3 X: 1.0 Y: -0.3 Z: -1.0 X: 157.7 Y: 2.8 Z: 735.0 19:27:51 (CET)
34 Dirk Wiedemann Collision with environment 10.5 X: -1.0 Y: -0.4 Z: 1.8 X: -41.3 Y: 3.0 Z: 497.6 19:29:11 (CET)
35 Michael Weimer Collision with environment 62.3 X: 0.7 Y: -0.3 Z: 2.3 X: -606.3 Y: 3.3 Z: -550.7 19:30:11 (CET)
36 Michael Weimer Collision with environment 14.1 X: 0.7 Y: -0.1 Z: 2.3 X: -607.5 Y: 3.6 Z: -579.3 19:30:16 (CET)
37 Michael Weimer Collision with environment 41.9 X: -0.7 Y: -0.3 Z: 2.3 X: -81.7 Y: 3.1 Z: 458.7 19:30:46 (CET)
38 Herbert Aeckerle Collision with environment 22.0 X: 1.0 Y: -0.4 Z: 1.8 X: -69.7 Y: 3.1 Z: 488.0 19:31:54 (CET)
39 Fred Dohnke Collision with environment 57.1 X: -0.9 Y: -0.4 Z: 2.2 X: 53.7 Y: 3.6 Z: -380.1 19:36:43 (CET)
40 Lars Borkowski Collision with environment 70.9 X: -0.7 Y: -0.4 Z: 2.3 X: 49.4 Y: 3.5 Z: -372.7 19:37:04 (CET)
41 Steffen Maschke Collision with environment 3.2 X: -1.0 Y: -0.3 Z: 1.8 X: 212.5 Y: 3.5 Z: 203.3 19:37:41 (CET)
42 Herbert Aeckerle Collision with environment 32.7 X: -0.9 Y: -0.4 Z: -1.9 X: -444.2 Y: 3.3 Z: -771.9 19:38:04 (CET)
43 Thomas Kneissler Collision with environment 67.1 X: -0.9 Y: -0.3 Z: 2.2 X: 126.0 Y: 2.6 Z: 679.6 19:39:52 (CET)
44 Jean Ora Collision with environment 8.7 X: -0.9 Y: -0.4 Z: -1.9 X: -134.9 Y: 3.1 Z: -815.1 19:40:07 (CET)
45 Michael Weimer Collision with environment 49.6 X: -0.0 Y: -0.3 Z: 2.4 X: 61.5 Y: 3.8 Z: -392.0 19:44:46 (CET)
46 Andreas Braun Collision with environment 14.6 X: 1.0 Y: -0.4 Z: 1.8 X: 157.8 Y: 2.7 Z: 735.1 19:45:22 (CET)
47 Dieter Suessenguth Collision with environment 54.0 X: -0.7 Y: -0.4 Z: 2.3 X: 666.9 Y: 3.2 Z: 805.3 19:46:16 (CET)
48 Herbert Aeckerle Collision with environment 46.1 X: 0.9 Y: -0.2 Z: 2.1 X: -605.0 Y: 3.2 Z: -521.3 19:47:54 (CET)
49 Herbert Aeckerle Collision with environment 58.6 X: 0.9 Y: -0.4 Z: 2.2 X: 47.5 Y: 3.0 Z: -298.8 19:48:24 (CET)
50 Herbert Aeckerle Collision with environment 4.4 X: 0.9 Y: 0.2 Z: -1.6 X: 46.8 Y: 3.5 Z: -296.6 19:48:29 (CET)
51 Herbert Aeckerle Collision with environment 1.0 X: -0.9 Y: -0.4 Z: -1.9 X: -13.6 Y: 3.0 Z: 524.3 19:51:04 (CET)
52 Eileen Weimer Collision with environment 67.8 X: -0.7 Y: -0.3 Z: 2.3 X: -169.1 Y: 3.2 Z: -824.9 19:51:20 (CET)
53 Eileen Weimer Collision with environment 23.3 X: -0.7 Y: -0.3 Z: 2.3 X: -167.6 Y: 3.2 Z: -823.1 19:51:25 (CET)
54 Thomas Kneissler Collision with environment 14.4 X: -1.0 Y: -0.3 Z: 1.8 X: 206.9 Y: 3.5 Z: 198.7 19:51:57 (CET)
55 Uemit Zobu Collision with environment 63.4 X: 0.9 Y: -0.4 Z: 2.2 X: -606.2 Y: 3.3 Z: -549.9 19:54:54 (CET)
56 Eileen Weimer Collision with environment 16.5 X: -0.9 Y: -0.3 Z: 2.2 X: 589.6 Y: 3.4 Z: 399.9 19:59:15 (CET)
57 Michael Weimer Collision with environment 11.3 X: 1.0 Y: -0.3 Z: 1.8 X: 154.7 Y: 2.8 Z: 732.0 19:59:51 (CET)
58 Uemit Zobu Collision with environment 15.5 X: 1.0 Y: -0.4 Z: 1.8 X: -607.6 Y: 3.4 Z: -582.6 20:00:29 (CET)
59 Eileen Weimer Collision with environment 10.7 X: 0.9 Y: -0.3 Z: 2.2 X: 1.2 Y: 3.2 Z: 556.5 20:03:15 (CET)
60 Uemit Zobu Collision with environment 32.1 X: 0.9 Y: -0.4 Z: 2.2 X: -606.2 Y: 2.9 Z: -512.7 20:04:09 (CET)
61 Herbert Aeckerle Collision with environment 36.9 X: 0.7 Y: -0.4 Z: 2.3 X: 309.6 Y: 2.9 Z: 735.1 20:06:24 (CET)
62 Jens Bauer Collision with environment 49.5 X: -0.7 Y: -0.4 Z: 2.3 X: -348.1 Y: 2.8 Z: 127.4 20:06:47 (CET)
63 Jean Ora Collision with environment 13.3 X: 0.9 Y: -0.3 Z: 2.1 X: 151.9 Y: 2.7 Z: 729.1 20:10:03 (CET)
64 Steffen Maschke Collision with environment 31.3 X: 0.4 Y: -0.1 Z: 2.3 X: -421.8 Y: 3.4 Z: -798.5 20:10:11 (CET)
65 Steffen Maschke Collision with environment 5.1 X: 0.8 Y: -0.2 Z: -2.4 X: -384.1 Y: 3.3 Z: -796.6 20:10:16 (CET)
66 Jean Ora Collision with environment 88.7 X: -0.6 Y: -0.3 Z: 2.2 X: -448.8 Y: 2.9 Z: -27.9 20:10:18 (CET)
67 Jean Ora Collision with environment 17.3 X: 0.0 Y: -0.3 Z: -2.4 X: -480.0 Y: 3.1 Z: -56.2 20:10:23 (CET)
68 Jean Ora Collision with environment 4.5 X: 0.9 Y: -0.4 Z: 2.2 X: -514.9 Y: 3.0 Z: -66.3 20:10:28 (CET)
69 Thomas Kneissler Collision with environment 63.4 X: 0.7 Y: -0.3 Z: 2.3 X: 61.7 Y: 3.8 Z: -392.3 20:13:07 (CET)
70 Jens Bauer Collision with environment 40.8 X: 0.7 Y: -0.4 Z: 2.3 X: -349.1 Y: 2.8 Z: 119.7 20:14:32 (CET)
71 Eileen Weimer Collision with environment 29.2 X: -0.9 Y: -0.3 Z: 2.2 X: -137.8 Y: 3.2 Z: -815.5 20:15:55 (CET)
72 Thomas Kneissler Collision with environment 67.4 X: 0.9 Y: -0.2 Z: 2.1 X: -578.9 Y: 4.2 Z: -700.2 20:16:02 (CET)
73 Thomas Kneissler Collision with environment 28.9 X: 1.0 Y: -0.2 Z: 1.8 X: -555.5 Y: 4.4 Z: -721.1 20:16:07 (CET)
74 Jean Ora Collision with environment 10.5 X: 1.0 Y: -0.4 Z: 1.1 X: 153.7 Y: 2.7 Z: 730.9 20:22:31 (CET)
75 Jean Ora Collision with environment 58.8 X: 0.7 Y: -0.4 Z: 2.3 X: 51.2 Y: 2.9 Z: 607.5 20:22:36 (CET)
76 Eileen Weimer Collision with environment 2.5 X: -0.9 Y: -0.3 Z: 2.2 X: -371.2 Y: 3.1 Z: 42.9 20:23:55 (CET)
77 Jens Bauer Collision with environment 36.5 X: -0.7 Y: -0.4 Z: 2.3 X: -344.5 Y: 2.8 Z: 145.6 20:25:42 (CET)
78 Jens Bauer Collision with environment 8.8 X: 0.7 Y: -0.4 Z: 2.3 X: -344.7 Y: 2.8 Z: 144.6 20:25:47 (CET)
79 Jens Bauer Collision with environment 6.8 X: -0.8 Y: -0.3 Z: -2.4 X: -345.6 Y: 3.0 Z: 140.1 20:25:57 (CET)
80 Tim Quoos Collision with environment 15.1 X: 1.0 Y: -0.3 Z: 1.8 X: 88.5 Y: 3.3 Z: -668.4 20:26:19 (CET)
81 Pascal Hein Collision with environment 22.2 X: 1.0 Y: -0.4 Z: 1.8 X: 157.9 Y: 2.7 Z: 735.3 20:26:46 (CET)
82 Thomas Kneissler Collision with environment 81.6 X: -0.0 Y: -0.3 Z: 2.4 X: 62.6 Y: 3.9 Z: -393.6 20:27:07 (CET)
83 Dieter Suessenguth Collision with environment 13.5 X: -0.7 Y: -0.4 Z: 2.3 X: -681.1 Y: 2.6 Z: -404.1 20:28:52 (CET)
84 Steffen Maschke Collision with environment 90.7 X: 0.5 Y: -0.2 Z: 2.2 X: -605.8 Y: 3.4 Z: -543.7 20:30:42 (CET)
85 Steffen Maschke Collision with environment 9.8 X: 0.9 Y: -0.3 Z: 2.2 X: -606.5 Y: 3.4 Z: -556.6 20:30:47 (CET)
86 Jean Ora Collision with environment 114.8 X: -0.5 Y: -0.4 Z: 2.3 X: 118.0 Y: 2.6 Z: 672.0 20:30:51 (CET)
87 Jean Ora Collision with environment 13.8 X: -0.9 Y: -0.4 Z: 2.2 X: 93.8 Y: 2.7 Z: 648.8 20:30:56 (CET)
88 Jean Ora Collision with environment 0.0 X: -1.0 Y: -0.4 Z: 1.8 X: 44.7 Y: 2.9 Z: 601.2 20:31:01 (CET)
89 Micha Schloz Collision with environment 15.3 X: 1.0 Y: -0.4 Z: 1.8 X: 158.1 Y: 2.7 Z: 735.5 20:31:03 (CET)
90 Thomas Kneissler Collision with environment 7.3 X: -1.0 Y: -0.3 Z: -1.0 X: -137.2 Y: 3.2 Z: -815.4 20:33:52 (CET)
91 Thomas Kneissler Collision with environment 7.6 X: 0.9 Y: -0.3 Z: 2.2 X: -27.9 Y: 3.5 Z: -810.2 20:33:57 (CET)
92 Jens Bauer Collision with environment 82.7 X: 0.7 Y: -0.4 Z: 2.3 X: 61.8 Y: 3.8 Z: -392.4 20:34:12 (CET)
93 Dirk Wiedemann Collision with environment 22.9 X: -0.9 Y: -0.4 Z: 2.2 X: 49.1 Y: 3.5 Z: -372.0 20:35:02 (CET)
94 Philipp Krauslach Collision with environment 17.1 X: 0.7 Y: -0.4 Z: 2.3 X: 63.1 Y: 3.8 Z: -394.3 20:37:15 (CET)
95 Christian Gerspacher Dieter Suessenguth Collision with car 8.2 X: 1.0 Y: -0.3 Z: 1.8 X: 269.6 Y: 3.1 Z: 233.2 20:37:34 (CET)
96 Dieter Suessenguth Christian Gerspacher Collision with car 8.8 X: -0.9 Y: -0.3 Z: -1.9 X: 266.6 Y: 3.2 Z: 232.2 20:37:37 (CET)
97 Dieter Suessenguth Collision with environment 3.5 X: 0.7 Y: -0.4 Z: 2.3 X: 319.2 Y: 2.7 Z: 728.4 20:38:17 (CET)
98 Philipp Krauslach Collision with environment 7.8 X: -1.0 Y: -0.4 Z: 1.8 X: 13.4 Y: 3.2 Z: -86.2 20:39:40 (CET)
99 Micha Schloz Collision with environment 27.0 X: -0.7 Y: -0.4 Z: 2.3 X: 634.6 Y: 3.1 Z: 817.9 20:39:48 (CET)
100 Uemit Zobu Collision with environment 3.5 X: -0.9 Y: -0.4 Z: 2.2 X: 644.7 Y: 3.0 Z: 813.3 20:42:24 (CET)
101 Uemit Zobu Collision with environment 0.9 X: -0.9 Y: -0.4 Z: 2.2 X: 643.5 Y: 3.0 Z: 813.8 20:42:29 (CET)
102 Jens Bauer Collision with environment 3.1 X: -1.0 Y: -0.4 Z: -1.0 X: 32.5 Y: 3.3 Z: -309.7 20:43:22 (CET)
103 Uemit Zobu Collision with environment 54.7 X: 0.9 Y: -0.4 Z: 2.2 X: -606.3 Y: 3.2 Z: -551.3 20:43:24 (CET)
104 Dieter Suessenguth Collision with environment 11.1 X: 1.0 Y: -0.4 Z: -1.0 X: 156.2 Y: 2.7 Z: 733.5 20:44:32 (CET)
105 Dirk Wiedemann Collision with environment 0.8 X: -1.0 Y: -0.4 Z: -1.0 X: 31.2 Y: 3.3 Z: -301.4 20:44:57 (CET)
106 Jean Ora Collision with environment 81.6 X: 0.0 Y: -0.4 Z: 2.4 X: -350.3 Y: 2.8 Z: 107.5 20:51:31 (CET)
107 Dirk Wiedemann Collision with environment 14.9 X: -1.0 Y: -0.4 Z: 1.8 X: -37.0 Y: 3.0 Z: 501.8 20:51:42 (CET)
108 Micha Schloz Collision with environment 54.5 X: -0.9 Y: -0.4 Z: 2.2 X: -654.4 Y: 2.9 Z: -412.5 20:54:38 (CET)
109 Michael Weimer Collision with environment 19.3 X: 0.9 Y: -0.3 Z: -1.9 X: 604.8 Y: 3.4 Z: 849.1 20:55:30 (CET)
110 Jens Bauer Collision with environment 16.0 X: 0.7 Y: -0.4 Z: 2.3 X: 307.3 Y: 3.0 Z: 736.5 20:56:52 (CET)
111 Jens Bauer Collision with environment 21.9 X: 1.0 Y: -0.4 Z: -0.8 X: 304.2 Y: 3.0 Z: 738.6 20:57:02 (CET)
112 Jens Bauer Collision with environment 15.0 X: -1.0 Y: -0.4 Z: 1.8 X: 174.4 Y: 2.4 Z: 726.0 20:57:07 (CET)
113 Jens Bauer Collision with environment 18.0 X: -0.9 Y: -0.4 Z: -1.9 X: 174.7 Y: 2.4 Z: 726.3 20:57:12 (CET)
114 Tim Quoos Herbert Aeckerle Collision with car 20.6 X: -0.9 Y: -0.3 Z: 2.2 X: -401.1 Y: 2.4 Z: 186.3 21:01:29 (CET)
115 Herbert Aeckerle Tim Quoos Collision with car 16.4 X: 1.0 Y: -0.3 Z: 1.3 X: -401.3 Y: 2.4 Z: 186.1 21:01:32 (CET)
116 Jens Bauer Collision with environment 49.1 X: -0.7 Y: -0.4 Z: 2.3 X: -348.9 Y: 2.8 Z: 121.3 21:02:53 (CET)
117 Jean Ora Collision with environment 131.2 X: 0.9 Y: -0.4 Z: 2.1 X: 157.7 Y: 2.7 Z: 735.0 21:03:56 (CET)
118 Jean Ora Collision with environment 28.0 X: -0.9 Y: -0.4 Z: 2.2 X: 104.7 Y: 2.7 Z: 659.2 21:04:01 (CET)
119 Jean Ora Collision with environment 0.6 X: -1.0 Y: -0.4 Z: 1.8 X: -132.6 Y: 2.5 Z: 429.9 21:04:11 (CET)
120 Jean Ora Collision with environment 0.3 X: -1.0 Y: -0.4 Z: -0.4 X: -137.8 Y: 2.5 Z: 424.8 21:04:16 (CET)
121 Jens Bauer Collision with environment 31.7 X: 0.9 Y: -0.4 Z: 2.2 X: -605.9 Y: 2.9 Z: -514.0 21:05:23 (CET)
122 Micha Schloz Collision with environment 51.7 X: -0.9 Y: -0.4 Z: 2.2 X: 515.1 Y: 2.9 Z: 340.4 21:06:19 (CET)
123 Dieter Suessenguth Collision with environment 11.3 X: 1.0 Y: -0.4 Z: 1.8 X: 151.8 Y: 2.7 Z: 729.0 21:06:39 (CET)
124 Christian Gerspacher Collision with environment 20.9 X: 0.9 Y: -0.3 Z: -1.9 X: -606.3 Y: 3.3 Z: -552.6 21:11:45 (CET)
125 Michael Weimer Collision with environment 5.7 X: -0.9 Y: -0.3 Z: -1.9 X: -409.7 Y: 3.2 Z: 5.6 21:12:40 (CET)
126 Michael Weimer Collision with environment 9.4 X: 0.9 Y: -0.3 Z: -1.9 X: -28.9 Y: 3.3 Z: 527.4 21:13:00 (CET)
127 Dieter Suessenguth Collision with environment 34.9 X: 0.9 Y: -0.4 Z: 2.2 X: 47.8 Y: 3.0 Z: -300.1 21:13:19 (CET)
128 Herbert Aeckerle Collision with environment 15.7 X: 1.0 Y: -0.3 Z: -1.1 X: 168.7 Y: 2.8 Z: 746.5 21:14:02 (CET)
129 Micha Schloz Collision with environment 17.3 X: -1.0 Y: -0.4 Z: 1.8 X: 197.5 Y: 3.4 Z: 190.8 21:14:44 (CET)
130 Dieter Suessenguth Collision with environment 19.4 X: -1.0 Y: -0.4 Z: 1.8 X: 35.0 Y: 3.4 Z: -325.1 21:15:14 (CET)
131 Jens Bauer Collision with environment 7.5 X: -1.0 Y: -0.4 Z: -1.0 X: 37.3 Y: 3.4 Z: -336.9 21:17:08 (CET)
132 Jens Bauer Collision with environment 54.8 X: -0.9 Y: -0.4 Z: 2.2 X: 658.6 Y: 3.2 Z: 808.9 21:17:33 (CET)
133 Herbert Aeckerle Collision with environment 56.6 X: 0.0 Y: -0.2 Z: 2.3 X: 609.0 Y: 3.5 Z: 848.4 21:17:48 (CET)
134 Micha Schloz Collision with environment 28.5 X: 1.0 Y: -0.4 Z: 1.8 X: -607.4 Y: 3.4 Z: -576.8 21:17:54 (CET)
135 Herbert Aeckerle Collision with environment 16.2 X: 0.8 Y: -0.0 Z: -2.4 X: 602.5 Y: 3.6 Z: 849.8 21:18:13 (CET)
136 Micha Schloz Collision with environment 5.8 X: -1.0 Y: -0.4 Z: 1.8 X: 32.3 Y: 3.3 Z: -308.2 21:18:24 (CET)
137 Micha Schloz Collision with environment 33.9 X: -0.9 Y: -0.4 Z: 2.2 X: 62.3 Y: 3.8 Z: -393.0 21:20:14 (CET)
138 Christian Gerspacher Collision with environment 55.3 X: -0.9 Y: -0.3 Z: 2.2 X: 515.4 Y: 3.0 Z: 340.6 21:23:55 (CET)
139 Micha Schloz Collision with environment 10.0 X: 1.0 Y: -0.4 Z: 1.8 X: 583.3 Y: 3.2 Z: 856.6 21:24:04 (CET)
140 Dieter Suessenguth Collision with environment 56.1 X: 0.7 Y: -0.4 Z: 2.3 X: 601.7 Y: 3.0 Z: 833.7 21:24:54 (CET)
141 Dieter Suessenguth Collision with environment 19.5 X: 0.9 Y: -0.4 Z: 2.2 X: -72.2 Y: 3.1 Z: 485.6 21:26:29 (CET)
142 Dieter Suessenguth Collision with environment 10.0 X: -0.9 Y: -0.4 Z: 2.2 X: -346.6 Y: 2.8 Z: 135.7 21:27:29 (CET)
143 Dieter Suessenguth Collision with environment 1.2 X: -0.9 Y: -0.4 Z: 2.2 X: -346.9 Y: 2.8 Z: 134.3 21:27:34 (CET)
144 Micha Schloz Collision with environment 51.7 X: -0.7 Y: -0.4 Z: 2.3 X: -187.1 Y: 3.0 Z: -833.2 21:30:39 (CET)
145 Micha Schloz Collision with environment 4.9 X: 0.8 Y: -0.3 Z: -2.4 X: -172.1 Y: 3.2 Z: -826.2 21:30:44 (CET)
146 Dieter Suessenguth Collision with environment 27.1 X: 0.7 Y: -0.4 Z: 2.3 X: -644.4 Y: 2.9 Z: -415.9 21:32:19 (CET)
147 Tim Quoos Collision with environment 1.1 X: -1.0 Y: -0.3 Z: -1.0 X: 33.4 Y: 3.4 Z: -315.4 21:35:15 (CET)
148 Herbert Aeckerle Collision with environment 38.6 X: -0.9 Y: -0.4 Z: 2.2 X: 665.5 Y: 3.2 Z: 805.9 21:35:33 (CET)
149 Micha Schloz Collision with environment 20.8 X: -0.9 Y: -0.4 Z: -1.9 X: 36.7 Y: 3.3 Z: -334.1 21:35:49 (CET)
150 Micha Schloz Collision with environment 64.0 X: -0.9 Y: -0.4 Z: 2.2 X: 632.0 Y: 3.1 Z: 819.1 21:36:14 (CET)
151 Christian Gerspacher Collision with environment 7.8 X: 1.0 Y: -0.3 Z: 1.8 X: -526.2 Y: 3.8 Z: -742.4 21:38:00 (CET)
152 Tim Quoos Collision with environment 3.9 X: 0.9 Y: -0.3 Z: -1.9 X: 151.4 Y: 2.7 Z: 728.6 21:39:35 (CET)
153 Christian Gerspacher Tim Quoos Collision with car 11.4 X: -0.5 Y: -0.3 Z: 1.1 X: 38.0 Y: 3.1 Z: 580.0 21:47:05 (CET)
154 Tim Quoos Collision with environment 53.7 X: -0.9 Y: -0.3 Z: 2.2 X: -373.7 Y: 3.1 Z: 40.4 21:54:10 (CET)
155 Tim Quoos Collision with environment 25.9 X: -0.7 Y: -0.3 Z: 2.3 X: 182.8 Y: 2.2 Z: 720.8 21:59:55 (CET)
156 Christian Gerspacher Collision with environment 24.6 X: -0.7 Y: -0.3 Z: 2.3 X: 55.5 Y: 3.7 Z: -382.9 22:00:30 (CET)
157 Herbert Aeckerle Collision with environment 8.6 X: 1.0 Y: -0.4 Z: 1.8 X: -66.9 Y: 3.1 Z: 490.7 22:15:10 (CET)
Car Env Rel
SRV Melbourne Layout GP (3xDRS) SRV Melbourne Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Tim Quoos in STM Audi RS5 2022
Best: 01:45.546, Potential: 01:45.081
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:29.991 01:14.377 00:28.534 00:47.080 1 M
2 01:47.779
C
00:34.550 00:26.501 00:46.728 1 M
3 01:47.213
C
00:33.693 00:26.784 00:46.736 1 M
4 01:46.220 00:33.519 00:26.297 00:46.404 0 M
5 03:02.145 01:48.178 00:27.427 00:46.540 0 M
6 01:46.298
C
00:33.596 00:26.280 00:46.422 1 M
7 01:46.158 00:33.442 00:26.280 00:46.436 0 M
8 01:46.906 00:33.893 00:26.875 00:46.138 0 M
9 01:46.457
C
00:33.886 00:26.307 00:46.264 1 M
10 01:48.223
C
00:35.404 00:26.712 00:46.107 1 M
11 01:46.557 00:33.927 00:26.424 00:46.206 0 M
12 01:46.321 00:33.425 00:26.605 00:46.291 0 M
13 01:46.503 00:33.589 00:26.649 00:46.265 0 M
14 01:47.284 00:33.533 00:26.857 00:46.894 0 M
15 01:46.264 00:33.522 00:26.468 00:46.274 0 M
16 01:52.001 00:33.900 00:26.577 00:51.524 0 M
17 01:47.129 00:33.856 00:26.559 00:46.714 0 M
18 01:47.354 00:34.085 00:26.820 00:46.449 0 M
19 01:47.462 00:33.987 00:26.594 00:46.881 0 M
20 01:47.156
C
00:33.874 00:26.735 00:46.547 1 M
21 01:47.944 00:34.054 00:26.784 00:47.106 0 M
22 01:47.857 00:33.949 00:26.658 00:47.250 0 M
23 01:47.907 00:34.376 00:26.663 00:46.868 0 M
24 09:02.425 07:47.586 00:27.629 00:47.210 0 M
25 01:48.653
C
00:34.170 00:27.373 00:47.110 1 M
26 01:46.922
C
00:33.703 00:26.437 00:46.782 1 M
27 01:46.621 00:33.599 00:26.524 00:46.498 0 M
28 01:47.015 00:34.120 00:26.581 00:46.314 0 M
29 01:46.527 00:33.667 00:26.505 00:46.355 0 M
30 01:46.636 00:33.898 00:26.505 00:46.233 0 M
31 01:46.768
C
00:33.706 00:26.474 00:46.588 1 M
32 01:46.547 00:33.679 00:26.577 00:46.291 0 M
33 01:47.075 00:34.049 00:26.578 00:46.448 0 M
34 01:47.030 00:33.636 00:26.887 00:46.507 0 M
35 01:48.061
C
00:33.955 00:26.698 00:47.408 1 M
36 01:47.929 00:33.958 00:27.382 00:46.589 0 M
37 01:47.542 00:34.201 00:26.626 00:46.715 0 M
38 01:47.564 00:33.886 00:26.712 00:46.966 0 M
39 01:47.669 00:34.045 00:26.437 00:47.187 0 M
40 01:59.586 00:45.840 00:26.910 00:46.836 0 M
41 01:48.211 00:34.344 00:26.639 00:47.228 0 M
42 01:47.799 00:34.291 00:26.762 00:46.746 0 M
43 01:47.716 00:34.114 00:26.761 00:46.841 0 M
44 01:47.816 00:33.998 00:26.766 00:47.052 0 M
45 01:47.615 00:33.960 00:26.756 00:46.899 0 M
46 02:09.211 00:34.338 00:27.611 01:07.262 1 S
47 02:01.411 00:41.185 00:26.906 00:53.320 1 S
48 01:46.673 00:33.693 00:26.469 00:46.511 0 S
49 01:45.546
L
L
00:33.397 00:26.302 00:45.847
S
0 S
50 01:46.379 00:33.295 00:26.334 00:46.750 0 S
51 01:47.341 00:33.366 00:26.199 00:47.776 0 S
52 01:46.376 00:33.418 00:26.779 00:46.179 0 S
53 01:47.111 00:33.901 00:26.671 00:46.539 0 S
54 01:47.120 00:33.622 00:26.681 00:46.817 0 S
55 01:47.017
C
00:33.851 00:26.528 00:46.638 1 S
56 01:46.489 00:33.625 00:26.456 00:46.408 0 S
57 01:47.385 00:33.593 00:26.429 00:47.363 0 S
58 01:47.680
C
00:33.740 00:27.280 00:46.660 1 S
59 01:47.888
C
00:33.917 00:27.225 00:46.746 1 S
60 01:47.872 00:34.081 00:26.618 00:47.173 0 S
61 01:47.952 00:33.828 00:27.125 00:46.999 0 S
62 01:47.684 00:34.155 00:26.689 00:46.840 0 S
63 01:51.467 00:34.248 00:27.882 00:49.337 1 S
64 05:18.044 04:04.091 00:27.014 00:46.939 0 M
65 01:46.558
C
00:33.231 00:26.230 00:47.097 1 M
66 01:46.574
C
00:33.180 00:26.271 00:47.123 1 M
67 02:18.580 01:03.678 00:27.909 00:46.993 0 M
68 01:46.520 00:33.234
S
S
00:26.000
S
S
00:47.286 0 M
2nd Pascal Hein in STM BMW M4 2022
Best: 01:45.763, Potential: 01:45.605
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:43.770 01:29.479 00:27.193 00:47.098 1 M
2 01:46.425 00:33.651 00:26.351 00:46.423 0 M
3 01:45.763
L
00:33.543
S
00:26.248
S
00:45.972 0 M
4 04:50.503 03:38.148 00:26.541 00:45.814
S
S
0 M
5 53:18.902 52:05.561 00:26.748 00:46.593 0 M
3rd Jean Ora in STM BMW M4 2022
Best: 01:45.932, Potential: 01:45.672
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:46.061 03:31.209 00:27.481 00:47.371 1 M
2 01:46.680 00:33.528 00:26.829 00:46.323 0 M
3 01:46.775 00:33.628 00:26.861 00:46.286 0 M
4 01:46.085 00:33.491 00:26.537 00:46.057 0 M
5 01:46.770
C
00:33.636 00:26.505 00:46.629 1 M
6 01:49.368 00:34.163 00:28.891 00:46.314 0 M
7 01:47.023 00:33.668 00:26.663 00:46.692 0 M
8 01:46.228 00:33.485 00:26.447 00:46.296 0 M
9 01:47.533 00:33.751 00:27.301 00:46.481 0 M
10 01:47.002 00:33.625 00:26.568 00:46.809 0 M
11 01:47.371 00:34.215 00:26.712 00:46.444 0 M
12 02:06.730 00:33.846 00:26.576 01:06.308 1 M
13 01:58.023 00:41.171 00:27.734 00:49.118 1 M
14 01:47.405 00:34.222 00:26.784 00:46.399 0 M
15 01:46.364
C
00:33.501 00:26.423 00:46.440 1 M
16 01:46.139 00:33.518 00:26.460 00:46.161 0 M
17 03:15.575 01:59.318 00:28.836 00:47.421 1 M
18 01:47.287 00:33.784 00:27.040 00:46.463 0 M
19 01:48.199 00:34.534 00:26.753 00:46.912 0 M
20 01:46.970 00:33.607 00:26.752 00:46.611 0 M
21 02:43.211 01:26.293 00:28.188 00:48.730 1 M
22 01:49.271 00:35.656 00:26.680 00:46.935 0 M
23 01:46.148
C
00:33.424 00:26.609 00:46.115 1 M
24 01:46.103 00:33.473 00:26.555 00:46.075 0 M
25 06:33.177 05:18.702 00:27.818 00:46.657 0 M
26 01:46.236 00:33.705 00:26.554 00:45.977
S
0 M
27 08:25.993 07:10.425 00:28.431 00:47.137 0 M
28 01:47.366 00:33.594 00:27.044 00:46.728 0 M
29 01:45.932
L
00:33.257
S
00:26.438
S
00:46.237 0 M
30 06:35.940 05:19.889 00:28.724 00:47.327 0 S
31 01:46.415 00:33.362 00:26.524 00:46.529 0 S
32 01:50.086 00:37.488 00:26.608 00:45.990 0 S
33 04:17.585 02:58.889 00:31.496 00:47.200 0 S
34 05:21.087 04:06.049 00:28.399 00:46.639 0 S
35 03:07.897 01:45.808 00:27.644 00:54.445 0 M
4th Fred Dohnke in STM Mercedes C63 2022
Best: 01:46.283, Potential: 01:46.048
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:21.524 02:05.528 00:28.148 00:47.848 1 S
2 04:00.820 02:44.496 00:27.521 00:48.803 0 S
3 01:50.683 00:34.377 00:28.457 00:47.849 0 S
4 03:23.374 02:08.530 00:27.688 00:47.156 0 S
5 01:47.348 00:33.940 00:27.059 00:46.349 0 S
6 01:47.031 00:34.077 00:26.531 00:46.423 0 S
7 02:43.278 01:27.515 00:28.256 00:47.507 0 M
8 04:19.226 03:01.075 00:28.102 00:50.049 0 M
9 01:51.890 00:34.554 00:29.699 00:47.637 0 M
10 01:47.481 00:34.072 00:26.973 00:46.436 0 M
11 05:24.611 04:10.397 00:27.190 00:47.024 0 S
12 01:46.589 00:33.861 00:26.513
S
00:46.215 0 S
13 04:33.350 03:18.821 00:27.810 00:46.719 0 S
14 01:46.392
C
00:33.532 00:26.739 00:46.121 1 S
15 01:46.488
C
00:33.722 00:26.461 00:46.305 1 S
16 03:45.904 02:30.007 00:27.968 00:47.929 0 S
17 01:52.217 00:35.196 00:27.494 00:49.527 0 S
18 01:48.061
C
00:33.942 00:26.671 00:47.448 1 S
19 03:37.401 02:22.039 00:27.715 00:47.647 0 S
20 01:47.450
C
00:33.768 00:26.707 00:46.975 1 S
21 01:46.283
L
00:33.429
S
00:26.748 00:46.106
S
0 S
5th Christian Gerspacher in STM Audi RS5 2022
Best: 01:46.437, Potential: 01:46.437
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:00.370 01:43.658 00:27.675 00:49.037 1 M
2 01:49.779 00:34.494 00:27.278 00:48.007 0 M
3 01:50.187 00:34.834 00:27.697 00:47.656 0 M
4 01:48.414 00:34.253 00:26.901 00:47.260 0 M
5 01:49.665 00:34.694 00:26.866 00:48.105 0 M
6 01:47.846 00:33.839 00:26.838 00:47.169 0 M
7 01:48.232 00:34.320 00:26.761 00:47.151 0 M
8 01:48.870 00:34.588 00:27.113 00:47.169 0 M
9 01:50.501 00:36.395 00:26.820 00:47.286 0 M
10 01:48.363 00:34.553 00:26.874 00:46.936 0 M
11 01:49.678 00:34.902 00:27.063 00:47.713 0 M
12 01:49.900 00:35.245 00:27.252 00:47.403 0 M
13 01:49.670 00:35.051 00:27.095 00:47.524 0 M
14 01:49.416 00:34.545 00:27.018 00:47.853 0 M
15 01:48.998 00:34.478 00:27.154 00:47.366 0 M
16 01:49.528 00:34.581 00:27.049 00:47.898 0 M
17 02:01.951 00:34.345 00:28.822 00:58.784 0 M
18 01:48.914 00:34.534 00:27.149 00:47.231 0 M
19 01:50.212 00:35.031 00:26.963 00:48.218 0 M
20 01:51.129 00:34.583 00:27.176 00:49.370 0 M
21 01:49.480 00:34.874 00:27.090 00:47.516 0 M
22 01:51.704 00:35.447 00:27.315 00:48.942 0 M
23 02:11.663 00:34.702 00:27.094 01:09.867 1 S
24 01:57.839 00:42.415 00:27.909 00:47.515 1 S
25 01:47.517 00:33.964 00:26.910 00:46.643 0 S
26 01:47.464 00:33.767 00:26.613 00:47.084 0 S
27 01:47.722 00:34.178 00:26.816 00:46.728 0 S
28 02:00.155 00:33.679 00:26.757 00:59.719 0 S
29 01:48.335
C
00:34.292 00:26.915 00:47.128 1 S
30 01:48.183 00:34.400 00:26.694 00:47.089 0 S
31 01:49.471 00:34.496 00:27.351 00:47.624 0 S
32 01:48.419
C
00:34.242 00:26.887 00:47.290 1 S
33 01:50.536 00:35.152 00:26.996 00:48.388 0 S
34 01:51.353 00:34.831 00:28.786 00:47.736 0 S
35 01:49.357 00:34.500 00:27.260 00:47.597 0 S
36 02:14.137 00:35.227 00:27.778 01:11.132 1 M
37 01:55.840 00:40.726 00:27.319 00:47.795 1 M
38 01:51.290 00:37.419 00:27.036 00:46.835 1 M
39 01:48.214
C
00:33.757 00:26.627 00:47.830 1 M
40 05:13.129 03:57.700 00:27.540 00:47.889 0 M
41 01:46.916 00:33.765 00:26.545 00:46.606 0 M
42 01:46.927 00:33.617 00:26.618 00:46.692 0 M
43 03:45.212 02:30.197 00:27.766 00:47.249 0 M
44 01:46.437
L
00:33.573
S
00:26.424
S
00:46.440
S
0 M
6th Thomas Kneissler in STM Audi RS5 2022
Best: 01:46.530, Potential: 01:46.436
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:15.449 01:58.427 00:28.567 00:48.455 3 M
2 01:50.460 00:35.161 00:27.158 00:48.141 0 M
3 01:52.252 00:35.298 00:27.422 00:49.532 0 M
4 01:48.933 00:34.471 00:26.950 00:47.512 0 M
5 01:49.007 00:34.416 00:27.054 00:47.537 0 M
6 01:48.623 00:34.257 00:27.081 00:47.285 0 M
7 01:50.342
C
00:34.252 00:27.954 00:48.136 1 M
8 02:04.216 00:48.724 00:27.851 00:47.641 0 M
9 01:49.445 00:34.764 00:27.035 00:47.646 0 M
10 02:01.151 00:42.374 00:27.793 00:50.984 0 M
11 01:52.925 00:35.498 00:27.923 00:49.504 0 M
12 08:01.269 06:44.890 00:28.750 00:47.629 0 S
13 01:47.369 00:33.803 00:26.663 00:46.903 0 S
14 01:47.188 00:33.933 00:26.721 00:46.534 0 S
15 16:56.627 15:31.182 00:30.636 00:54.809 0 S
16 01:50.937 00:35.669 00:27.275 00:47.993 0 S
17 01:48.513 00:34.388 00:27.001 00:47.124 0 S
18 01:48.441 00:34.523 00:26.888 00:47.030 0 S
19 01:51.149 00:34.429 00:28.724 00:47.996 0 S
20 01:50.158 00:34.675 00:28.044 00:47.439 0 S
21 01:49.031 00:34.858 00:27.211 00:46.962 0 S
22 01:50.280 00:34.985 00:27.703 00:47.592 0 S
23 01:49.646 00:34.631 00:27.387 00:47.628 0 S
24 02:14.008 00:34.639 00:27.221 01:12.148 1 M
25 02:01.361 00:44.097 00:28.957 00:48.307 1 M
26 01:51.054 00:35.525 00:27.509 00:48.020 0 M
27 01:51.523 00:35.779 00:27.428 00:48.316 0 M
28 01:50.062 00:34.683 00:27.868 00:47.511 0 M
29 01:49.068 00:34.746 00:27.216 00:47.106 0 M
30 01:49.484 00:34.456 00:27.306 00:47.722 0 M
31 01:49.469 00:34.284 00:27.607 00:47.578 0 M
32 01:49.299
C
00:34.459 00:27.373 00:47.467 1 M
33 01:51.181 00:35.838 00:27.846 00:47.497 0 M
34 01:50.593 00:34.687 00:28.579 00:47.327 0 M
35 01:51.381 00:34.376 00:28.454 00:48.551 0 M
36 01:50.286 00:35.235 00:27.274 00:47.777 0 M
37 01:51.644
C
00:35.432 00:27.869 00:48.343 1 M
38 01:52.124 00:35.008 00:27.765 00:49.351 0 M
39 02:12.991 00:35.868 00:28.593 01:08.530 1 S
40 01:58.594 00:43.421 00:28.153 00:47.020 1 S
41 01:48.640 00:34.372 00:27.018 00:47.250 0 S
42 01:47.335
C
00:34.070 00:26.933 00:46.332 1 S
43 01:49.238 00:34.097 00:26.888 00:48.253 0 S
44 01:51.872
C
00:36.340 00:27.689 00:47.843 1 S
45 01:52.268 00:35.184 00:29.380 00:47.704 0 S
46 01:49.731 00:34.851 00:27.148 00:47.732 0 S
47 01:50.884
C
00:34.321 00:28.350 00:48.213 1 S
48 01:53.338 00:35.537 00:29.552 00:48.249 0 S
49 03:22.371 02:02.981 00:30.888 00:48.502 0 S
50 10:06.325 08:49.681 00:29.146 00:47.498 0 S
51 01:46.750
C
00:33.724 00:26.685 00:46.341 1 S
52 01:46.530
L
00:33.688 00:26.622
S
00:46.220
S
0 S
53 04:03.738 02:38.093 00:37.283 00:48.362 0 S
54 01:48.593 00:34.537 00:27.517 00:46.539 0 S
55 03:19.919 02:00.539 00:31.464 00:47.916 0 S
56 02:57.123 01:41.235 00:28.327 00:47.561 0 S
57 01:46.415
C
00:33.691 00:26.555 00:46.169 1 S
58 01:46.464
C
00:33.631 00:26.429 00:46.404 1 S
59 04:13.323 02:58.145 00:28.103 00:47.075 0 S
60 03:17.905 02:01.562 00:28.566 00:47.777 0 S
61 01:46.782 00:33.594
S
00:26.729 00:46.459 0 S
62 01:51.645
C
00:37.250 00:28.099 00:46.296 1 S
7th Jens Bauer in STM BMW M4 2022
Best: 01:46.643, Potential: 01:46.453
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 13:27.134 12:11.183 00:28.468 00:47.483 1 S
2 01:47.589 00:33.712 00:26.689 00:47.188 0 S
3 04:10.379 02:55.175 00:27.838 00:47.366 0 S
4 01:47.003 00:33.721 00:26.599 00:46.683 0 S
5 01:46.643
L
00:33.793 00:26.496
S
00:46.354
S
0 S
6 13:32.743 12:17.782 00:28.134 00:46.827 0 S
7 01:47.321 00:33.837 00:26.761 00:46.723 0 S
8 01:47.184 00:33.851 00:26.865 00:46.468 0 S
9 01:46.865 00:33.660 00:26.743 00:46.462 0 S
10 05:36.058 04:21.003 00:28.062 00:46.993 0 M
11 01:47.596 00:33.859 00:26.955 00:46.782 0 M
12 01:47.380 00:33.891 00:26.833 00:46.656 0 M
13 01:47.150
C
00:33.963 00:26.847 00:46.340 1 M
14 10:57.497 09:40.574 00:28.220 00:48.703 0 M
15 02:05.076 00:34.108 00:27.261 01:03.707 0 M
16 01:49.295 00:35.158 00:27.103 00:47.034 0 M
17 01:47.778 00:34.212 00:26.891 00:46.675 0 M
18 01:48.603
C
00:34.550 00:27.118 00:46.935 1 M
19 02:11.593
C
00:57.168 00:27.359 00:47.066 1 M
20 01:53.028 00:37.742 00:27.536 00:47.750 0 M
21 05:45.730 04:30.485 00:28.112 00:47.133 0 S
22 01:48.055
C
00:34.809 00:26.919 00:46.327 1 S
23 01:47.866 00:33.603
S
00:26.918 00:47.345 0 S
8th Michael Weimer in STM Audi RS5 2022
Best: 01:46.953, Potential: 01:46.492
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 31:27.881 30:08.529 00:28.656 00:50.696 1 M
2 01:50.775
C
00:35.246 00:27.671 00:47.858 1 M
3 01:48.967 00:34.686 00:27.260 00:47.021 0 M
4 04:55.547 03:39.587 00:28.229 00:47.731 0 S
5 01:48.210
C
00:33.811 00:27.401 00:46.998 1 S
6 01:47.514
C
00:34.218 00:26.855 00:46.441 1 S
7 01:47.622 00:33.930 00:27.089 00:46.603 0 S
8 01:47.810
C
00:34.209 00:26.752 00:46.849 1 S
9 01:47.845 00:33.892 00:26.905 00:47.048 0 S
10 03:29.953 02:14.825 00:27.576 00:47.552 0 S
11 01:50.841
C
00:35.425 00:27.346 00:48.070 1 S
12 01:47.405 00:33.781 00:27.004 00:46.620 0 S
13 06:59.497 05:44.972 00:27.518 00:47.007 0 S
14 04:14.368 03:00.221 00:27.414 00:46.733 0 S
15 01:47.979
C
00:34.089 00:27.008 00:46.882 1 S
16 01:47.315 00:33.754 00:26.986 00:46.575 0 S
17 04:40.807 03:15.680 00:30.538 00:54.589 0 S
18 01:48.419 00:33.854 00:27.482 00:47.083 0 S
19 01:47.202 00:33.699 00:26.860 00:46.643 0 S
20 03:11.471 01:55.656 00:27.949 00:47.866 1 S
21 01:48.011
C
00:33.991 00:27.022 00:46.998 1 S
22 01:47.827 00:33.910 00:27.122 00:46.795 0 S
23 01:48.095
C
00:33.963 00:26.973 00:47.159 1 S
24 01:48.326
C
00:33.806 00:27.473 00:47.047 1 S
25 03:38.580 02:24.653 00:27.145 00:46.782 1 S
26 01:49.385 00:35.451 00:27.314 00:46.620 0 S
27 04:20.292 03:03.099 00:28.188 00:49.005 0 S
28 01:50.506 00:34.829 00:28.121 00:47.556 0 S
29 01:47.790 00:33.854 00:27.063 00:46.873 0 S
30 01:47.666
C
00:33.732 00:27.274 00:46.660 1 S
31 01:47.175 00:33.649 00:26.824 00:46.702 0 S
32 03:41.332 02:26.605 00:27.643 00:47.084 0 S
33 01:46.953
L
00:33.472
S
00:26.676 00:46.805 0 S
34 01:47.599 00:34.542 00:26.504
S
00:46.553 0 S
35 02:47.293 01:33.426 00:27.351 00:46.516
S
0 S
36 01:48.240
C
00:35.015 00:26.731 00:46.494 1 S
9th Andreas Braun in STM Mercedes C63 2022
Best: 01:46.982, Potential: 01:46.982
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:50.089 03:33.449 00:28.319 00:48.321 1 M
2 01:47.830
C
00:33.967 00:27.059 00:46.804 1 M
3 05:01.586 03:46.157 00:27.635 00:47.794 0 M
4 01:49.501 00:35.435 00:27.055 00:47.011 0 M
5 04:48.523 03:30.020 00:27.725 00:50.778 0 M
6 01:52.164 00:34.723 00:30.038 00:47.403 0 M
7 01:46.982
L
00:33.763
S
00:26.640
S
00:46.579
S
0 M
8 13:52.876 12:29.032 00:31.356 00:52.488 0 M
9 01:49.522 00:34.629 00:27.265 00:47.628 0 M
10 01:50.071 00:35.038 00:27.553 00:47.480 0 M
11 01:49.468
C
00:34.655 00:26.982 00:47.831 1 M
12 01:48.438 00:34.323 00:27.058 00:47.057 0 M
13 01:50.344
C
00:34.303 00:27.103 00:48.938 1 M
14 01:59.498 00:36.847 00:28.751 00:53.900 0 M
10th Uemit Zobu in STM BMW M4 2022
Best: 01:47.573, Potential: 01:46.748
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:36.103 03:18.757 00:28.706 00:48.640 1 S
2 01:50.894
C
00:34.709 00:28.737 00:47.448 1 S
3 01:48.605 00:34.171 00:27.558 00:46.876 0 S
4 07:22.442 06:06.032 00:28.602 00:47.808 0 S
5 01:49.307
C
00:33.910 00:27.194 00:48.203 1 S
6 02:50.242 01:31.361 00:30.511 00:48.370 0 S
7 01:48.186 00:34.079 00:27.212 00:46.895 0 S
8 01:49.376 00:34.483 00:27.801 00:47.092 0 S
9 02:09.967 00:55.803 00:26.874 00:47.290 0 S
10 06:19.239 05:01.271 00:29.489 00:48.479 0 S
11 01:47.991 00:33.772 00:27.239 00:46.980 0 S
12 01:48.197 00:34.186 00:27.045 00:46.966 0 S
13 01:47.678 00:33.816 00:26.644
S
00:47.218 0 S
14 01:48.732
C
00:34.122 00:28.282 00:46.328 1 S
15 01:48.265
C
00:33.790 00:27.833 00:46.642 1 S
16 01:47.573
L
00:33.728
S
00:27.469 00:46.376
S
0 S
17 01:47.656 00:34.419 00:26.648 00:46.589 0 S
18 02:06.951
C
00:34.349 00:27.244 01:05.358 1 M
19 01:55.910
C
00:40.905 00:27.603 00:47.402 1 M
20 01:55.171
C
00:34.711 00:31.343 00:49.117 1 M
21 01:51.642 00:34.161 00:26.968 00:50.513 0 M
22 01:47.945
C
00:34.357 00:26.960 00:46.628 1 M
23 02:07.064
C
00:33.941 00:27.149 01:05.974 1 M
11th Micha Schloz in STM BMW M4 2022
Best: 01:47.824, Potential: 01:47.488
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:19.960 04:02.574 00:28.205 00:49.181 1 M
2 01:49.918 00:34.678 00:27.256 00:47.984 0 M
3 01:49.760
C
00:34.466 00:27.288 00:48.006 1 M
4 01:51.526 00:35.210 00:28.279 00:48.037 0 M
5 05:19.992 04:04.383 00:28.106 00:47.503 0 M
6 02:02.053 00:34.100 00:26.965 01:00.988 0 M
7 01:49.302 00:34.592 00:27.131 00:47.579 0 M
8 01:49.570
C
00:34.380 00:27.494 00:47.696 1 M
9 01:48.033 00:34.160 00:26.987 00:46.886
S
0 M
10 04:46.447 03:27.953 00:28.400 00:50.094 0 M
11 01:48.717 00:34.273 00:27.022 00:47.422 0 M
12 01:47.824
L
00:33.848 00:26.758
S
00:47.218 0 M
13 03:18.168 02:01.406 00:28.953 00:47.809 0 M
14 01:51.343 00:35.851 00:26.870 00:48.622 0 M
15 02:01.982 00:36.887 00:29.008 00:56.087 0 M
16 01:50.401 00:35.656 00:27.126 00:47.619 0 M
17 01:49.500 00:34.021 00:27.459 00:48.020 0 M
18 01:53.616 00:33.844
S
00:26.869 00:52.903 0 M
19 01:53.246 00:34.010 00:27.725 00:51.511 0 M
20 06:36.727 05:19.232 00:28.076 00:49.419 0 M
21 03:49.402 02:32.870 00:27.882 00:48.650 0 M
22 05:06.231 03:50.243 00:27.734 00:48.254 0 M
23 01:47.455
C
00:33.822 00:26.819 00:46.814 1 M
24 03:44.641 02:25.383 00:27.904 00:51.354 0 M
25 03:06.382 01:51.660 00:27.396 00:47.326 0 S
26 01:48.789
C
00:35.196 00:26.563 00:47.030 1 S
27 04:58.458 03:41.669 00:27.927 00:48.862 0 M
28 01:49.862
C
00:34.398 00:27.022 00:48.442 1 M
12th Philipp Krauslach in STM Mercedes C63 2022
Best: 01:48.112, Potential: 01:48.098
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:18.114 01:48.532 00:31.288 00:58.294 1 S
2 01:49.098 00:35.144 00:26.758
S
00:47.196 0 S
3 01:48.112
L
00:34.415 00:26.762 00:46.935
S
0 S
4 01:48.527
C
00:33.985 00:27.454 00:47.088 1 S
5 01:48.587
C
00:34.374 00:27.072 00:47.141 1 S
6 01:49.128 00:34.405
S
00:27.113 00:47.610 0 S
7 02:10.333 00:34.195 00:26.955 01:09.183 1 M
8 01:57.536 00:41.496 00:27.981 00:48.059 1 M
9 01:48.934 00:34.423 00:27.040 00:47.471 0 M
10 01:49.041 00:34.516 00:26.888 00:47.637 0 M
11 01:48.823 00:34.658 00:27.162 00:47.003 0 M
12 01:49.284 00:34.669 00:27.032 00:47.583 0 M
13 01:49.215 00:34.478 00:27.153 00:47.584 0 M
14 01:51.136 00:35.594 00:28.153 00:47.389 0 M
15 01:50.418 00:36.064 00:27.238 00:47.116 0 M
16 01:50.222 00:34.731 00:28.520 00:46.971 0 M
17 02:18.323 00:34.734 00:52.208 00:51.381 0 M
18 01:51.364 00:34.531 00:27.509 00:49.324 0 M
13th Eileen Weimer in STM Audi RS5 2022
Best: 01:48.183, Potential: 01:47.757
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:48.571 01:32.125 00:28.463 00:47.983 1 M
2 01:50.571 00:34.907 00:27.468 00:48.196 0 M
3 01:49.619 00:33.970 00:27.635 00:48.014 0 M
4 01:50.239 00:34.824 00:27.359 00:48.056 0 M
5 01:49.787 00:34.880 00:27.279 00:47.628 0 M
6 01:48.966 00:34.450 00:27.104 00:47.412 0 M
7 03:37.206 02:21.781 00:27.652 00:47.773 0 M
8 01:51.815 00:36.666 00:27.467 00:47.682 0 M
9 01:48.853
C
00:34.347 00:27.220 00:47.286 1 M
10 01:48.914 00:33.841
S
00:27.085 00:47.988 0 M
11 01:48.471
C
00:34.171 00:27.166 00:47.134 1 M
12 04:03.116 02:46.662 00:27.944 00:48.510 0 M
13 04:06.755 02:50.570 00:27.833 00:48.352 0 M
14 01:48.961 00:34.239 00:26.995 00:47.727 0 M
15 01:48.734 00:34.273 00:27.311 00:47.150
S
0 M
16 01:49.015 00:34.243 00:27.229 00:47.543 0 M
17 03:04.109 01:48.122 00:27.936 00:48.051 0 M
18 01:48.183
L
00:34.081 00:26.766
S
00:47.336 0 M
19 01:50.070
C
00:34.379 00:27.604 00:48.087 1 M
20 01:50.429
C
00:34.200 00:29.029 00:47.200 1 M
14th Steffen Maschke in STM Audi RS5 2022
Best: 01:48.343, Potential: 01:47.892
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:35.669 01:16.802 00:28.459 00:50.408 1 M
2 01:51.269 00:35.111 00:27.567 00:48.591 0 M
3 01:51.953 00:35.125 00:26.937 00:49.891 0 M
4 01:49.794 00:34.913 00:26.888 00:47.993 0 M
5 03:30.266 02:14.828 00:27.626 00:47.812 0 S
6 01:48.578 00:34.729 00:26.437
S
00:47.412 0 S
7 01:49.110
C
00:34.787 00:26.825 00:47.498 1 S
8 03:34.956 02:18.298 00:27.968 00:48.690 0 M
9 01:48.895 00:34.452 00:26.914 00:47.529 0 M
10 01:48.744
C
00:34.430 00:26.857 00:47.457 1 M
11 01:49.142 00:34.614 00:27.125 00:47.403
S
0 M
12 05:16.676 03:55.676 00:31.847 00:49.153 0 M
13 01:49.177 00:34.630 00:26.816 00:47.731 0 M
14 01:48.802
C
00:34.745 00:26.762 00:47.295 1 M
15 02:38.428 01:17.558 00:31.212 00:49.658 1 M
16 01:49.482
C
00:34.700 00:27.072 00:47.710 1 M
17 01:51.069 00:34.523 00:26.978 00:49.568 0 M
18 01:49.804 00:34.560 00:27.260 00:47.984 0 M
19 01:48.672 00:34.255 00:26.753 00:47.664 0 M
20 16:18.664 15:01.673 00:28.850 00:48.141 0 S
21 01:53.419 00:34.521 00:30.599 00:48.299 0 S
22 01:48.469
C
00:34.602 00:26.703 00:47.164 1 S
23 01:48.343
L
00:34.052
S
00:26.848 00:47.443 0 S
15th Lars Borkowski in STM Mercedes C63 2022
Best: 01:48.343, Potential: 01:48.163
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:24.278 02:06.519 00:29.173 00:48.586 1 S
2 01:50.505 00:35.165 00:27.352 00:47.988 0 S
3 01:49.516 00:34.375 00:27.742 00:47.399 0 S
4 06:32.297 05:14.610 00:28.538 00:49.149 0 M
5 01:51.809 00:35.669 00:27.720 00:48.420 0 M
6 01:49.056 00:34.328 00:27.180 00:47.548 0 M
7 10:48.202 09:31.247 00:28.495 00:48.460 0 M
8 01:49.364 00:34.300 00:27.347 00:47.717 0 M
9 01:48.502 00:34.409 00:26.964 00:47.129
S
0 M
10 07:08.423 05:50.790 00:28.444 00:49.189 0 S
11 01:50.041 00:34.220 00:27.896 00:47.925 1 S
12 01:48.343
L
00:34.161
S
00:26.873
S
00:47.309 0 S
16th Daniel Amann in STM BMW M4 2022
Best: 01:49.324, Potential: 01:48.874
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:03.234 03:43.655 00:28.738 00:50.841 1 S
2 01:57.170
C
00:34.910 00:29.399 00:52.861 1 S
3 05:03.703 03:45.542 00:29.404 00:48.757 0 S
4 01:53.568 00:37.158 00:27.414 00:48.996 0 S
5 04:07.670 02:50.765 00:28.643 00:48.262 0 S
6 05:18.027 04:01.401 00:27.827 00:48.799 0 S
7 01:51.001 00:34.784 00:27.239 00:48.978 0 S
8 01:55.431 00:34.426
S
00:32.787 00:48.218 0 S
9 01:57.220
C
00:38.722 00:30.128 00:48.370 1 S
10 07:28.232 06:07.395 00:31.054 00:49.783 0 S
11 01:55.108
C
00:35.876 00:27.820 00:51.412 1 S
12 01:49.324
L
00:34.836 00:26.865 00:47.623
S
0 S
13 01:55.143
C
00:34.196 00:27.819 00:53.128 1 S
14 03:18.337 02:01.131 00:28.476 00:48.730 0 S
15 04:07.546 02:43.315 00:31.693 00:52.538 0 S
16 01:50.291 00:34.511 00:27.095 00:48.685 0 S
17 01:50.262 00:34.814 00:27.055 00:48.393 0 S
18 01:51.852
C
00:34.551 00:28.318 00:48.983 1 S
19 02:03.389 00:34.505 00:26.825
S
01:02.059 0 S
20 02:19.097 00:57.909 00:29.249 00:51.939 0 S
21 04:07.489 02:09.031 00:34.353 01:24.105 0 S
22 01:56.987
C
00:36.379 00:31.311 00:49.297 1 S
23 01:52.737 00:34.630 00:28.237 00:49.870 0 S
24 01:52.644
C
00:35.905 00:28.764 00:47.975 1 S
25 01:54.898 00:34.821 00:31.752 00:48.325 0 S
26 02:11.099
C
00:54.082 00:28.499 00:48.518 1 S
27 01:56.913
C
00:39.279 00:28.088 00:49.546 1 S
28 04:24.685 03:01.764 00:28.763 00:54.158 0 M
17th Dirk Wiedemann in STM Mercedes C63 2022
Best: 01:50.031, Potential: 01:49.703
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 09:09.888 07:50.971 00:28.890 00:50.027 1 M
2 19:31.997 18:14.264 00:28.621 00:49.112 0 M
3 05:52.708 04:35.213 00:28.377 00:49.118 0 M
4 01:52.996 00:35.362 00:28.206 00:49.428 0 M
5 01:51.673 00:35.344 00:27.355 00:48.974 0 M
6 01:52.024 00:35.407 00:27.806 00:48.811 0 M
7 09:34.997 08:10.785 00:33.506 00:50.706 0 M
8 01:54.825 00:36.421 00:28.696 00:49.708 0 M
9 02:07.944 00:37.228 00:27.949 01:02.767 0 M
10 01:51.833 00:35.064 00:27.863 00:48.906 0 M
11 01:52.143 00:35.944 00:27.661 00:48.538 0 M
12 01:58.214 00:34.937 00:29.863 00:53.414 0 M
13 01:51.567 00:35.341 00:27.589 00:48.637 0 M
14 01:51.510 00:35.216 00:27.721 00:48.573 0 M
15 02:46.405
C
00:57.271 00:28.350 01:20.784 1 S
16 02:19.082
C
00:59.567 00:28.882 00:50.633 1 S
17 01:55.634 00:35.053 00:27.104
S
00:53.477 0 S
18 01:50.725 00:34.986 00:27.638 00:48.101 0 S
19 01:50.031
L
00:34.714 00:27.378 00:47.939
S
0 S
20 03:03.785 01:44.793 00:28.926 00:50.066 1 M
21 01:51.355 00:35.129 00:27.928 00:48.298 0 M
22 01:56.556 00:34.660
S
00:32.188 00:49.708 0 M
23 01:56.770 00:40.500 00:27.958 00:48.312 0 M
24 01:51.371 00:35.173 00:27.801 00:48.397 0 M
25 01:52.390 00:35.859 00:27.485 00:49.046 0 M
26 02:14.259 00:39.385 00:28.107 01:06.767 0 M
27 01:56.405 00:36.504 00:29.969 00:49.932 0 M
28 01:50.770 00:34.936 00:27.374 00:48.460 0 M
29 01:52.604 00:35.605 00:27.567 00:49.432 0 M
30 02:23.602
C
00:40.048 00:28.526 01:15.028 1 M
18th Dieter Suessenguth in STM Mercedes C63 2022
Best: 01:50.883, Potential: 01:49.766
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:34.582 03:12.894 00:29.529 00:52.159 1 M
2 01:54.908 00:36.289 00:28.102 00:50.517 0 M
3 02:01.093 00:38.122 00:33.606 00:49.365 0 M
4 02:30.188 01:11.493 00:28.777 00:49.918 0 M
5 01:55.400 00:36.741 00:27.908 00:50.751 0 M
6 03:39.517 02:17.900 00:28.990 00:52.627 0 M
7 02:11.315 00:36.739 00:44.158 00:50.418 1 M
8 01:53.978 00:36.637 00:27.941 00:49.400 0 M
9 01:57.367 00:39.283 00:29.070 00:49.014 0 M
10 01:53.937 00:36.104 00:28.297 00:49.536 0 M
11 01:53.026 00:36.099 00:27.882 00:49.045 0 M
12 01:52.542 00:35.569 00:28.071 00:48.902 0 M
13 01:51.847 00:35.765 00:27.640 00:48.442 0 M
14 01:51.718 00:35.439 00:28.030 00:48.249 0 M
15 02:42.154 01:24.623 00:28.661 00:48.870 1 M
16 01:52.775 00:35.983 00:28.372 00:48.420 0 M
17 01:54.928 00:35.611 00:30.218 00:49.099 0 M
18 01:52.857 00:35.124 00:28.511 00:49.222 0 M
19 01:52.094 00:35.257 00:27.743 00:49.094 0 M
20 01:50.855
C
00:35.112 00:27.657 00:48.086 1 M
21 01:51.202 00:35.094 00:27.971 00:48.137 0 M
22 01:51.686 00:35.213 00:27.721 00:48.752 0 M
23 01:52.808 00:35.174 00:28.904 00:48.730 0 M
24 18:31.183 17:10.534 00:29.776 00:50.873 0 S
25 02:19.897 01:01.575 00:29.070 00:49.252 0 S
26 01:52.920 00:35.664 00:28.030 00:49.226 0 S
27 01:53.174
C
00:35.973 00:28.458 00:48.743 1 S
28 01:53.753 00:35.057 00:29.341 00:49.355 0 S
29 02:31.018 00:35.039 00:27.982 01:27.997 0 S
30 01:55.683 00:37.338 00:29.344 00:49.001 0 S
31 01:54.538 00:35.851 00:29.290 00:49.397 0 S
32 01:53.864 00:35.992 00:29.142 00:48.730 0 S
33 03:25.854 02:05.659 00:30.307 00:49.888 1 S
34 01:52.077 00:36.342 00:27.594
S
00:48.141 0 S
35 01:51.388 00:35.324 00:27.941 00:48.123 0 S
36 01:51.174 00:35.366 00:27.820 00:47.988 0 S
37 01:51.176 00:35.189 00:27.946 00:48.041 0 S
38 01:52.138 00:35.732 00:27.955 00:48.451 0 S
39 01:55.215 00:34.548
S
00:31.805 00:48.862 0 S
40 01:56.064 00:36.729 00:29.016 00:50.319 0 S
41 03:27.917 02:10.499 00:29.061 00:48.357 0 S
42 01:52.727 00:36.506 00:28.044 00:48.177 0 S
43 01:50.883
L
00:35.255 00:27.928 00:47.700 0 S
44 06:37.026 05:19.311 00:28.323 00:49.392 0 S
45 01:54.012 00:36.602 00:28.279 00:49.131 0 S
46 02:14.567 00:58.140 00:28.026 00:48.401 0 S
47 01:54.041 00:35.508 00:27.962 00:50.571 0 S
48 02:42.768 01:25.233 00:29.034 00:48.501 0 S
49 01:54.768 00:35.653 00:30.344 00:48.771 0 S
50 01:52.792 00:35.892 00:28.574 00:48.326 0 S
51 01:51.925 00:35.825 00:28.162 00:47.938 0 S
52 01:50.926 00:35.538 00:27.764 00:47.624
S
0 S
53 02:35.593 00:44.006 00:31.581 01:20.006 1 M
54 02:25.068 00:43.984 00:29.295 01:11.789 1 M
55 02:02.886 00:44.144 00:28.981 00:49.761 1 M
19th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:53.370, Potential: 01:53.041
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 07:07.849 05:34.209 00:41.408 00:52.232 1 S
2 01:59.323 00:38.975 00:28.873 00:51.475 0 S
3 01:58.612 00:36.609 00:30.744 00:51.259 0 S
4 01:55.849 00:36.681 00:28.620 00:50.548 0 S
5 04:23.571 02:57.306 00:32.597 00:53.668 1 S
6 02:19.418 00:36.445 00:51.840 00:51.133 0 S
7 01:57.124 00:37.406 00:28.557 00:51.161 0 S
8 01:58.104 00:35.483
S
00:28.418
S
00:54.203 0 S
9 01:57.598
C
00:36.737 00:29.134 00:51.727 1 S
10 02:22.530 00:37.670 00:53.469 00:51.391 1 S
11 21:25.388 20:00.681 00:31.279 00:53.428 0 M
12 01:57.164 00:37.505 00:29.422 00:50.237 0 M
13 02:00.729
C
00:37.127 00:30.357 00:53.245 1 M
14 01:57.612 00:37.548 00:29.672 00:50.392 0 M
15 02:06.972 00:36.405 00:31.211 00:59.356 0 M
16 01:57.742 00:37.106 00:28.823 00:51.813 0 M
17 02:01.038
C
00:36.658 00:29.461 00:54.919 1 M
18 02:05.117
C
00:36.265 00:30.344 00:58.508 1 M
19 02:10.453 00:39.206 00:35.551 00:55.696 0 M
20 02:03.994 00:39.569 00:31.694 00:52.731 0 M
21 01:58.864
C
00:36.968 00:29.440 00:52.456 1 M
22 01:59.823
C
00:37.932 00:30.798 00:51.093 1 M
23 03:07.650 00:36.666 00:41.066 01:49.918 1 S
24 02:30.304 00:59.813 00:32.896 00:57.595 1 S
25 01:57.374 00:37.225 00:28.940 00:51.209 0 S
26 01:58.636
C
00:38.334 00:29.227 00:51.075 1 S
27 01:53.370
L
00:35.578 00:28.481 00:49.311 0 S
28 02:08.160 00:47.843 00:28.634 00:51.683 0 S
29 02:00.050 00:36.503 00:32.733 00:50.814 0 S
30 03:03.729 00:36.074 00:28.143 01:59.512 1 S
31 03:32.661 02:10.175 00:31.397 00:51.089 0 M
32 01:56.981 00:37.138 00:28.984 00:50.859 0 M
33 01:58.884
C
00:35.904 00:32.571 00:50.409 1 M
34 01:59.736
C
00:37.638 00:28.889 00:53.209 1 M
35 02:05.181 00:44.658 00:29.749 00:50.774 0 M
36 01:55.208 00:36.486 00:28.431 00:50.291 0 M
37 01:56.688
C
00:35.994 00:28.934 00:51.760 1 M
38 06:53.288 05:30.277 00:30.978 00:52.033 0 M
39 02:01.125 00:40.260 00:30.145 00:50.720 0 M
40 02:03.579 00:36.926 00:35.325 00:51.328 0 M
41 02:01.824 00:37.367 00:32.931 00:51.526 0 M
42 02:03.264 00:40.203 00:31.076 00:51.985 0 M
43 02:12.466 00:36.530 00:34.165 01:01.771 0 M
44 05:07.940 03:46.517 00:30.299 00:51.124 1 M
45 01:56.035 00:36.146 00:29.376 00:50.513 0 M
46 01:57.699 00:37.310 00:29.070 00:51.319 0 M
47 01:57.989 00:36.719 00:29.133 00:52.137 0 M
48 03:05.871 01:44.362 00:30.451 00:51.058 0 M
49 01:57.873 00:36.864 00:29.421 00:51.588 0 M
50 01:56.401 00:37.134 00:28.660 00:50.607 0 M
51 01:58.873 00:38.408 00:29.250 00:51.215 0 M
52 01:58.382 00:37.328 00:30.079 00:50.975 0 M
53 01:56.426 00:36.254 00:28.603 00:51.569 0 M
54 01:58.564 00:37.694 00:29.336 00:51.534 0 M
55 03:19.077 00:38.084 00:29.467 02:11.526 1 S
56 02:20.444 00:56.785 00:31.649 00:52.010 1 S
57 01:58.816 00:37.343 00:29.961 00:51.512 0 S
58 01:58.099 00:36.482 00:29.359 00:52.258 0 S
59 02:04.782 00:44.218 00:29.056 00:51.508 0 S
60 02:02.777 00:37.926 00:31.558 00:53.293 0 S
61 01:57.583 00:39.440 00:29.003 00:49.140
S
0 S
62 02:05.474
C
00:43.638 00:30.563 00:51.273 1 S
63 04:43.953 03:21.886 00:30.186 00:51.881 0 M
64 02:47.094 00:37.160 00:32.203 01:37.731 1 S
65 03:22.517 01:59.007 00:30.662 00:52.848 0 M
66 02:00.022 00:37.411 00:29.547 00:53.064 0 M
67 02:14.043 00:36.168 00:45.080 00:52.795 0 M
68 03:22.344 01:14.247 00:31.288 01:36.809 1 S
69 02:55.877 00:49.108 00:32.656 01:34.113 1 S
70 02:30.802 00:58.592 00:33.332 00:58.878 1 S
71 02:03.675 00:40.591 00:29.808 00:53.276 0 S
72 01:59.115 00:38.092 00:29.641 00:51.382 0 S
73 01:56.315 00:37.322 00:28.738 00:50.255 0 S
74 01:58.136 00:37.020 00:29.164 00:51.952 0 S
75 01:58.244 00:38.500 00:29.300 00:50.444 0 S