SRV Melbourne 2022 - Layout GP (3xDRS)

27 Jun 22 22:59 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 Handicaps Ping
1 Pascal Hein Stiftung Plankentest II STM BMW M4 2022 01:40.438
Tyre: S 		02:14.255 49 laps / 7 cuts
Ballast: 5000 kg
 3 - 18
2 Stefan Herler SRV Jägermeister eSport II STM Audi RS5 2022 01:40.438
Tyre: S 		01:48.707 62 laps / 8 cuts
n/a 		20 - 30
3 Tim Quoos Stiftung Plankentest I STM Audi RS5 2022 01:41.626
Tyre: S 		01:47.888 17 laps / 3 cuts
n/a 		14 - 19
4 Eileen Weimer SRV Jägermeister eSport I STM Audi RS5 2022 01:42.014
Tyre: S 		01:50.934 31 laps / 5 cuts
n/a 		10 - 16
5 Thomas Kneissler Horizont Personalmanagement Racing STM Audi RS5 2022 01:42.169
Tyre: S 		01:47.082 27 laps / 6 cuts
n/a 		21 - 31
6 Philipp Krauslach Micro-Machines Sim Racing I STM Mercedes AMG C63 2022 01:42.188
Tyre: S 		01:51.624 39 laps / 10 cuts
n/a 		11 - 53
7 Fred Dohnke BMS Racing STM Mercedes AMG C63 2022 01:42.593
Tyre: S 		02:21.524 13 laps / 3 cuts
n/a 		24 - 33
8 Steffen Maschke SRV Jägermeister eSport I STM Audi RS5 2022 01:42.742
Tyre: S 		02:24.696 19 laps / 5 cuts
n/a 		18 - 29
9 Michael Weimer SRV Jägermeister eSport II STM Audi RS5 2022 01:42.807
Tyre: S 		02:40.116 41 laps / 4 cuts
n/a 		12 - 30
10 Uemit Zobu CRM Motorsport STM BMW M4 2022 01:42.809
Tyre: S 		01:51.136 21 laps / 3 cuts
n/a 		12 - 25
11 Julian Nitsche CT Motorsport STM Mercedes AMG C63 2022 01:43.473
Tyre: S 		02:07.151 32 laps / 4 cuts
n/a 		8 - 21
12 Lars Maisack MOR eSports STM BMW M4 2022 01:44.064
Tyre: S 		02:23.249 63 laps / 8 cuts
n/a 		13 - 84
13 Daniel Amann Horizont Personalmanagement Racing STM BMW M4 2022 01:44.586
Tyre: S 		02:17.403 44 laps / 6 cuts
n/a 		11 - 18
14 Klemens Kowall Micro-Machines Sim Racing I STM Mercedes AMG C63 2022 01:44.683
Tyre: S 		01:55.066 17 laps / 3 cuts
n/a 		16 - 31
15 Christof Garasi Test Drive STM BMW M4 2022 01:47.280
Tyre: S 		02:05.819 30 laps / 10 cuts
n/a 		28 - 231
16 Herbert Aeckerle Bayern Racing STM Mercedes AMG C63 2022 01:48.202
Tyre: S 		01:57.592 32 laps / 6 cuts
n/a 		12 - 22
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Pascal Hein Collision with environment 187.5 X: -0.7 Y: -0.4 Z: 2.3 X: -474.7 Y: 1.8 Z: 114.2 18:06:46 (CEST)
2 Pascal Hein Collision with environment 8.5 X: 1.0 Y: -0.4 Z: -1.0 X: 152.5 Y: 2.7 Z: 729.7 18:20:36 (CEST)
3 Pascal Hein Collision with environment 12.9 X: -1.0 Y: -0.4 Z: 0.2 X: 183.6 Y: 3.4 Z: 179.2 18:22:06 (CEST)
4 Thomas Kneissler Collision with environment 10.4 X: 1.0 Y: -0.3 Z: 1.8 X: 153.5 Y: 2.8 Z: 730.8 18:29:05 (CEST)
5 Eileen Weimer Uemit Zobu Collision with car 71.7 X: -0.9 Y: -0.3 Z: 1.8 X: -401.1 Y: 2.8 Z: 21.6 18:38:25 (CEST)
6 Uemit Zobu Eileen Weimer Collision with car 151.0 X: -0.8 Y: -0.3 Z: -2.4 X: -401.1 Y: 2.8 Z: 21.6 18:38:26 (CEST)
7 Uemit Zobu Collision with environment 16.5 X: -0.8 Y: -0.3 Z: -2.4 X: -399.1 Y: 3.1 Z: 14.8 18:38:26 (CEST)
8 Pascal Hein Collision with environment 82.8 X: -0.5 Y: -0.4 Z: 2.3 X: 119.1 Y: 2.5 Z: 673.9 18:38:26 (CEST)
9 Eileen Weimer Collision with environment 53.6 X: 0.9 Y: -0.3 Z: 2.2 X: -447.7 Y: 2.8 Z: -3.8 18:38:30 (CEST)
10 Stefan Herler Collision with environment 78.5 X: 0.8 Y: -0.3 Z: 2.1 X: 135.0 Y: 2.7 Z: 714.3 18:39:02 (CEST)
11 Lars Maisack Collision with environment 73.7 X: -0.5 Y: -0.3 Z: 2.3 X: -159.1 Y: 3.3 Z: -819.0 18:44:46 (CEST)
12 Christof Garasi Collision with environment 38.8 X: -0.9 Y: -0.4 Z: 2.2 X: -650.7 Y: 2.9 Z: -413.8 18:45:52 (CEST)
13 Uemit Zobu Collision with environment 10.3 X: -1.0 Y: -0.4 Z: -1.0 X: 217.8 Y: 3.4 Z: 207.8 18:47:26 (CEST)
14 Uemit Zobu Collision with environment 38.1 X: -0.9 Y: -0.4 Z: 2.1 X: 517.5 Y: 2.9 Z: 340.6 18:49:26 (CEST)
15 Eileen Weimer Collision with environment 7.1 X: 1.0 Y: -0.3 Z: 0.3 X: -415.4 Y: 2.7 Z: 24.4 18:53:35 (CEST)
16 Uemit Zobu Collision with environment 19.8 X: -1.0 Y: -0.4 Z: 1.8 X: 208.4 Y: 3.4 Z: 200.0 18:55:16 (CEST)
17 Lars Maisack Collision with environment 5.6 X: -1.0 Y: -0.4 Z: 1.8 X: -631.2 Y: 2.7 Z: -420.3 18:57:06 (CEST)
18 Philipp Krauslach Collision with environment 21.1 X: -1.0 Y: -0.3 Z: 1.8 X: 205.6 Y: 3.4 Z: 197.6 18:59:17 (CEST)
19 Lars Maisack Uemit Zobu Collision with car 31.3 X: 0.7 Y: -0.3 Z: -2.4 X: -231.8 Y: 2.7 Z: -867.8 19:01:11 (CEST)
20 Uemit Zobu Collision with environment 34.7 X: 0.9 Y: -0.3 Z: 2.1 X: -154.6 Y: 2.7 Z: -850.4 19:01:11 (CEST)
21 Uemit Zobu Lars Maisack Collision with car 27.0 X: -0.9 Y: -0.3 Z: 2.2 X: -231.5 Y: 2.7 Z: -867.7 19:01:11 (CEST)
22 Uemit Zobu Collision with environment 25.0 X: 0.9 Y: -0.3 Z: -1.9 X: -154.4 Y: 2.7 Z: -850.1 19:01:16 (CEST)
23 Christof Garasi Collision with environment 47.1 X: 0.9 Y: -0.4 Z: 2.2 X: -605.0 Y: 3.0 Z: -525.5 19:02:38 (CEST)
24 Thomas Kneissler Collision with environment 99.2 X: -0.9 Y: -0.3 Z: 2.2 X: 517.1 Y: 2.9 Z: 340.3 19:04:36 (CEST)
25 Thomas Kneissler Collision with environment 0.7 X: 0.8 Y: 0.0 Z: -2.4 X: 568.0 Y: 3.8 Z: 353.7 19:04:41 (CEST)
26 Eileen Weimer Collision with environment 21.0 X: -0.9 Y: -0.3 Z: 2.2 X: -248.8 Y: 2.7 Z: -862.8 19:05:20 (CEST)
27 Eileen Weimer Collision with environment 58.2 X: -0.9 Y: -0.3 Z: 2.2 X: -178.1 Y: 3.2 Z: -894.1 19:05:25 (CEST)
28 Christof Garasi Collision with environment 2.7 X: 0.9 Y: -0.4 Z: 2.2 X: -74.4 Y: 3.0 Z: 485.8 19:06:25 (CEST)
29 Fred Dohnke Collision with environment 33.1 X: -0.9 Y: -0.4 Z: 2.2 X: -646.4 Y: 2.9 Z: -415.3 19:07:34 (CEST)
30 Michael Weimer Collision with environment 81.9 X: 0.9 Y: -0.3 Z: 2.2 X: 254.5 Y: 2.6 Z: 770.7 19:13:11 (CEST)
31 Michael Weimer Collision with environment 9.2 X: 1.0 Y: -0.3 Z: 1.9 X: 232.5 Y: 2.6 Z: 775.5 19:13:16 (CEST)
32 Eileen Weimer Collision with environment 71.0 X: -0.8 Y: -0.3 Z: 2.2 X: -349.8 Y: 2.7 Z: 112.9 19:15:30 (CEST)
33 Pascal Hein Collision with environment 71.6 X: -0.2 Y: -0.1 Z: 2.2 X: 13.0 Y: 3.6 Z: -190.5 19:15:57 (CEST)
34 Michael Weimer Collision with environment 64.3 X: 0.9 Y: -0.3 Z: 2.2 X: -604.9 Y: 3.0 Z: -521.2 19:17:07 (CEST)
35 Lars Maisack Collision with environment 42.2 X: -0.9 Y: -0.4 Z: 2.2 X: -351.1 Y: 2.8 Z: 100.8 19:17:31 (CEST)
36 Michael Weimer Collision with environment 8.4 X: 0.9 Y: -0.3 Z: 2.2 X: -9.8 Y: 3.2 Z: 548.0 19:17:37 (CEST)
37 Fred Dohnke Collision with environment 60.0 X: -0.6 Y: -0.4 Z: 2.2 X: -654.6 Y: 2.9 Z: -412.5 19:22:59 (CEST)
38 Michael Weimer Collision with environment 37.6 X: -0.9 Y: -0.2 Z: 1.9 X: -401.6 Y: 3.2 Z: 12.6 19:24:27 (CEST)
39 Christof Garasi Collision with environment 77.8 X: -0.2 Y: -0.4 Z: 2.3 X: 155.2 Y: 2.4 Z: 708.0 19:24:35 (CEST)
40 Eileen Weimer Collision with environment 24.8 X: -0.9 Y: -0.3 Z: -1.9 X: -653.3 Y: 3.0 Z: -412.9 19:25:00 (CEST)
41 Uemit Zobu Collision with environment 18.9 X: 0.5 Y: -0.4 Z: 2.3 X: -605.6 Y: 3.1 Z: -539.7 19:26:11 (CEST)
42 Eileen Weimer Collision with environment 28.2 X: -0.8 Y: -0.3 Z: 2.2 X: -388.1 Y: 2.9 Z: 26.0 19:29:40 (CEST)
43 Christof Garasi Collision with environment 81.1 X: 0.0 Y: -0.4 Z: 2.4 X: -624.1 Y: 2.7 Z: -422.5 19:30:20 (CEST)
44 Lars Maisack Collision with environment 39.0 X: -0.7 Y: -0.4 Z: 2.3 X: 132.9 Y: 2.5 Z: 686.9 19:33:41 (CEST)
45 Lars Maisack Collision with environment 5.8 X: 1.0 Y: -0.4 Z: 1.8 X: -605.7 Y: 3.1 Z: -541.5 19:34:41 (CEST)
46 Stefan Herler Collision with environment 71.8 X: 0.4 Y: -0.2 Z: 2.2 X: -606.5 Y: 3.4 Z: -555.6 19:35:08 (CEST)
47 Lars Maisack Collision with environment 112.8 X: -0.8 Y: -0.2 Z: 2.2 X: 511.0 Y: 3.1 Z: 336.5 19:37:11 (CEST)
48 Stefan Herler Collision with environment 107.3 X: 0.0 Y: -0.3 Z: 2.3 X: -350.6 Y: 2.8 Z: 104.9 19:37:23 (CEST)
49 Christof Garasi Collision with environment 32.1 X: 0.8 Y: -0.0 Z: -2.4 X: -617.6 Y: 3.0 Z: -424.6 19:38:16 (CEST)
50 Stefan Herler Collision with environment 24.0 X: -1.0 Y: -0.3 Z: 1.9 X: -248.3 Y: 2.8 Z: -862.9 19:40:03 (CEST)
51 Fred Dohnke Collision with environment 46.8 X: -0.9 Y: 0.3 Z: 1.6 X: -411.3 Y: 3.7 Z: 4.0 19:40:30 (CEST)
52 Fred Dohnke Collision with environment 25.7 X: 0.9 Y: -0.4 Z: 2.2 X: -63.0 Y: 3.0 Z: 496.8 19:40:55 (CEST)
53 Michael Weimer Collision with environment 6.0 X: -1.0 Y: -0.3 Z: 1.8 X: -247.4 Y: 2.8 Z: -863.0 19:42:37 (CEST)
54 Philipp Krauslach Collision with environment 53.6 X: -0.5 Y: -0.4 Z: 2.3 X: -350.3 Y: 2.7 Z: 107.0 19:44:03 (CEST)
55 Steffen Maschke Collision with environment 89.9 X: -0.7 Y: -0.3 Z: 2.2 X: -363.7 Y: 3.1 Z: 52.3 19:46:03 (CEST)
56 Philipp Krauslach Collision with environment 20.9 X: -1.0 Y: -0.4 Z: 1.8 X: -248.3 Y: 2.7 Z: -862.9 19:46:48 (CEST)
57 Lars Maisack Collision with environment 74.0 X: 0.5 Y: -0.4 Z: 2.3 X: -604.9 Y: 2.9 Z: -519.7 19:47:47 (CEST)
58 Daniel Amann Collision with environment 19.8 X: 0.9 Y: -0.4 Z: 2.2 X: -604.9 Y: 3.0 Z: -525.2 19:52:21 (CEST)
59 Daniel Amann Collision with environment 47.5 X: 0.9 Y: -0.3 Z: 1.8 X: 160.4 Y: 2.8 Z: 737.9 19:53:36 (CEST)
60 Michael Weimer Collision with environment 44.9 X: -0.5 Y: -0.3 Z: 2.3 X: -350.2 Y: 2.8 Z: 108.9 19:54:27 (CEST)
61 Michael Weimer Collision with environment 16.1 X: 0.9 Y: -0.3 Z: 2.2 X: -34.4 Y: 3.2 Z: 524.3 19:54:57 (CEST)
62 Lars Maisack Collision with environment 125.7 X: -0.4 Y: -0.4 Z: 2.3 X: 510.1 Y: 3.0 Z: 336.1 19:56:47 (CEST)
63 Daniel Amann Collision with environment 21.2 X: 0.9 Y: -0.4 Z: 2.2 X: 161.6 Y: 2.7 Z: 739.2 19:57:21 (CEST)
64 Christof Garasi Collision with environment 35.2 X: 0.9 Y: -0.4 Z: 2.1 X: -678.6 Y: 3.0 Z: -446.0 19:57:31 (CEST)
65 Lars Maisack Collision with environment 30.4 X: -0.9 Y: -0.4 Z: 2.2 X: -348.7 Y: 2.7 Z: 122.5 19:57:32 (CEST)
66 Christof Garasi Collision with environment 9.4 X: 0.9 Y: -0.4 Z: 2.2 X: -673.9 Y: 2.9 Z: -446.4 19:57:36 (CEST)
67 Tim Quoos Collision with environment 24.3 X: 0.7 Y: -0.3 Z: 2.3 X: 722.6 Y: 4.2 Z: 843.0 19:58:08 (CEST)
68 Michael Weimer Collision with environment 18.4 X: 1.0 Y: -0.3 Z: 1.8 X: 159.3 Y: 2.8 Z: 736.7 19:58:37 (CEST)
69 Daniel Amann Collision with environment 51.8 X: -0.8 Y: -0.4 Z: 2.2 X: 133.3 Y: 2.5 Z: 687.3 19:59:41 (CEST)
70 Daniel Amann Collision with environment 7.7 X: 0.9 Y: -0.4 Z: 2.2 X: -753.2 Y: 3.5 Z: -407.4 20:00:31 (CEST)
71 Stefan Herler Collision with environment 21.8 X: -1.0 Y: -0.3 Z: 1.8 X: -413.1 Y: 3.1 Z: 2.6 20:01:48 (CEST)
72 Steffen Maschke Collision with environment 56.6 X: -0.9 Y: -0.3 Z: 2.2 X: -350.4 Y: 2.8 Z: 106.3 20:01:59 (CEST)
73 Lars Maisack Collision with environment 121.0 X: -0.7 Y: -0.4 Z: 2.2 X: -102.4 Y: 3.1 Z: -812.9 20:03:37 (CEST)
74 Christof Garasi Collision with environment 76.1 X: 0.6 Y: -0.3 Z: 2.3 X: -707.8 Y: 3.7 Z: -448.6 20:06:02 (CEST)
75 Daniel Amann Collision with environment 62.3 X: 0.7 Y: -0.4 Z: 2.2 X: -605.2 Y: 3.0 Z: -531.7 20:06:11 (CEST)
76 Daniel Amann Collision with environment 0.5 X: 1.0 Y: -0.4 Z: 1.8 X: -606.1 Y: 3.1 Z: -548.1 20:06:16 (CEST)
77 Michael Weimer Collision with environment 7.9 X: -1.0 Y: -0.3 Z: 1.8 X: -244.6 Y: 2.8 Z: -863.2 20:10:27 (CEST)
78 Tim Quoos Collision with environment 8.3 X: 1.0 Y: -0.3 Z: 1.8 X: 151.3 Y: 2.7 Z: 728.5 20:10:48 (CEST)
79 Christof Garasi Collision with environment 21.0 X: 1.0 Y: -0.3 Z: 1.8 X: 704.5 Y: 4.2 Z: 841.7 20:17:50 (CEST)
80 Lars Maisack Collision with environment 73.5 X: -0.7 Y: -0.4 Z: 2.3 X: 515.2 Y: 2.9 Z: 339.1 20:20:22 (CEST)
81 Daniel Amann Collision with environment 22.7 X: -0.9 Y: -0.3 Z: 2.2 X: 736.2 Y: 3.9 Z: 849.0 20:21:46 (CEST)
82 Daniel Amann Collision with environment 0.0 X: -0.9 Y: -0.3 Z: 2.2 X: 737.5 Y: 3.8 Z: 850.1 20:21:51 (CEST)
83 Daniel Amann Collision with environment 9.5 X: -0.9 Y: -0.4 Z: 2.2 X: 754.4 Y: 3.7 Z: 841.7 20:22:06 (CEST)
84 Julian Nitsche Collision with environment 32.0 X: -0.7 Y: -0.4 Z: 2.3 X: 166.9 Y: 2.4 Z: 719.1 20:22:36 (CEST)
85 Michael Weimer Collision with environment 58.6 X: -0.7 Y: -0.3 Z: 2.3 X: -351.1 Y: 2.8 Z: 100.9 20:22:37 (CEST)
86 Tim Quoos Collision with environment 101.6 X: -1.0 Y: -0.3 Z: 1.8 X: 195.8 Y: 3.4 Z: 189.4 20:23:04 (CEST)
87 Tim Quoos Collision with environment 2.8 X: -1.0 Y: -0.3 Z: -1.0 X: 194.8 Y: 3.4 Z: 188.6 20:26:19 (CEST)
88 Steffen Maschke Collision with environment 18.2 X: -1.0 Y: -0.3 Z: 1.8 X: 203.9 Y: 3.4 Z: 196.2 20:30:19 (CEST)
89 Herbert Aeckerle Collision with environment 24.8 X: 0.9 Y: -0.4 Z: 2.2 X: 169.4 Y: 2.7 Z: 747.2 20:31:30 (CEST)
90 Stefan Herler Collision with environment 103.1 X: -0.9 Y: -0.3 Z: 2.2 X: -409.0 Y: 3.1 Z: 5.9 20:31:58 (CEST)
91 Stefan Herler Collision with environment 59.2 X: 0.9 Y: -0.3 Z: 2.1 X: -482.7 Y: 3.0 Z: -36.4 20:32:03 (CEST)
92 Herbert Aeckerle Collision with environment 37.1 X: 0.9 Y: -0.4 Z: 1.8 X: 163.2 Y: 2.7 Z: 740.8 20:33:25 (CEST)
93 Christof Garasi Collision with environment 72.4 X: 0.8 Y: -0.4 Z: 2.1 X: -605.8 Y: 3.1 Z: -543.7 20:35:15 (CEST)
94 Christof Garasi Collision with environment 1.7 X: 1.0 Y: -0.3 Z: 1.8 X: -603.2 Y: 3.9 Z: -673.6 20:35:25 (CEST)
95 Herbert Aeckerle Collision with environment 6.3 X: -0.9 Y: -0.4 Z: 2.2 X: -644.3 Y: 2.9 Z: -416.0 20:36:00 (CEST)
96 Herbert Aeckerle Collision with environment 21.6 X: 0.9 Y: -0.4 Z: 2.2 X: -393.4 Y: 2.1 Z: 55.8 20:39:50 (CEST)
97 Julian Nitsche Collision with environment 13.1 X: 0.9 Y: -0.3 Z: 2.1 X: 728.5 Y: 4.0 Z: 844.7 20:40:06 (CEST)
98 Steffen Maschke Collision with environment 13.9 X: -1.0 Y: -0.3 Z: 0.6 X: -95.5 Y: 3.2 Z: -812.8 20:41:24 (CEST)
99 Daniel Amann Collision with environment 81.9 X: -0.9 Y: -0.3 Z: 2.2 X: 503.8 Y: 3.0 Z: 331.9 20:43:31 (CEST)
100 Julian Nitsche Collision with environment 17.1 X: -0.9 Y: -0.4 Z: -1.9 X: -349.5 Y: 2.7 Z: 116.2 20:44:26 (CEST)
101 Lars Maisack Collision with environment 37.0 X: -1.0 Y: -0.2 Z: 1.8 X: 523.9 Y: 3.1 Z: 344.9 20:47:02 (CEST)
102 Herbert Aeckerle Collision with environment 47.6 X: -0.9 Y: -0.4 Z: 2.2 X: -171.0 Y: 3.1 Z: -823.7 20:47:25 (CEST)
103 Lars Maisack Collision with environment 73.6 X: 0.4 Y: -0.2 Z: 2.3 X: -607.2 Y: 3.5 Z: -571.6 20:48:12 (CEST)
104 Daniel Amann Collision with environment 69.8 X: 0.5 Y: -0.3 Z: 2.3 X: -605.0 Y: 3.1 Z: -527.7 20:48:21 (CEST)
105 Julian Nitsche Collision with environment 63.3 X: -0.7 Y: -0.4 Z: 2.3 X: -398.7 Y: 3.1 Z: 15.2 20:49:51 (CEST)
106 Julian Nitsche Collision with environment 6.7 X: 0.9 Y: -0.3 Z: 2.2 X: -453.3 Y: 2.8 Z: -9.3 20:49:56 (CEST)
107 Lars Maisack Collision with environment 62.7 X: -0.9 Y: -0.3 Z: 2.1 X: 522.8 Y: 2.9 Z: 344.0 20:52:27 (CEST)
108 Julian Nitsche Collision with environment 22.6 X: 0.9 Y: -0.4 Z: 2.2 X: -64.4 Y: 3.1 Z: 495.4 20:54:01 (CEST)
109 Daniel Amann Collision with environment 22.7 X: -1.0 Y: -0.4 Z: 1.8 X: 433.4 Y: 2.2 Z: 795.4 20:55:26 (CEST)
110 Julian Nitsche Collision with environment 60.7 X: -0.5 Y: -0.4 Z: 2.3 X: 153.6 Y: 2.4 Z: 706.5 20:56:06 (CEST)
111 Julian Nitsche Collision with environment 5.4 X: -0.6 Y: -0.4 Z: 2.3 X: 142.2 Y: 2.4 Z: 695.7 20:56:11 (CEST)
112 Lars Maisack Collision with environment 116.4 X: -0.9 Y: -0.4 Z: 2.2 X: -408.9 Y: 3.1 Z: 5.9 20:56:52 (CEST)
113 Daniel Amann Collision with environment 23.8 X: 0.9 Y: -0.4 Z: 2.2 X: -605.6 Y: 3.1 Z: -539.7 20:59:10 (CEST)
114 Lars Maisack Collision with environment 92.6 X: 0.4 Y: -0.2 Z: 2.2 X: -606.3 Y: 3.4 Z: -551.6 20:59:57 (CEST)
115 Julian Nitsche Collision with environment 56.1 X: -0.3 Y: -0.4 Z: 2.3 X: 161.0 Y: 2.4 Z: 713.5 21:02:21 (CEST)
116 Julian Nitsche Collision with environment 10.9 X: -0.9 Y: -0.4 Z: 2.2 X: -668.1 Y: 2.8 Z: -407.8 21:08:41 (CEST)
117 Julian Nitsche Collision with environment 26.9 X: -0.9 Y: -0.4 Z: 2.2 X: 176.7 Y: 2.3 Z: 728.4 21:11:46 (CEST)
118 Daniel Amann Collision with environment 22.4 X: 0.6 Y: -0.4 Z: 2.3 X: 292.5 Y: 2.9 Z: 747.9 21:15:06 (CEST)
119 Michael Weimer Collision with environment 91.4 X: -0.5 Y: -0.2 Z: 2.2 X: 148.1 Y: 2.6 Z: 701.3 21:16:05 (CEST)
120 Julian Nitsche Collision with environment 68.7 X: 0.8 Y: -0.4 Z: 2.2 X: -606.3 Y: 3.2 Z: -552.3 21:16:26 (CEST)
121 Lars Maisack Collision with environment 55.1 X: 0.8 Y: -0.4 Z: 2.2 X: -606.9 Y: 3.2 Z: -563.7 21:19:02 (CEST)
122 Julian Nitsche Collision with environment 69.8 X: -0.7 Y: -0.4 Z: 2.3 X: -647.8 Y: 2.8 Z: -414.8 21:21:16 (CEST)
123 Julian Nitsche Collision with environment 18.0 X: 0.9 Y: -0.4 Z: 2.2 X: -631.6 Y: 2.3 Z: -467.9 21:21:26 (CEST)
124 Daniel Amann Collision with environment 52.1 X: -0.7 Y: -0.4 Z: 2.3 X: 518.8 Y: 2.9 Z: 341.4 21:22:41 (CEST)
125 Daniel Amann Collision with environment 5.2 X: -0.7 Y: -0.4 Z: 2.3 X: -74.8 Y: 3.0 Z: 485.4 21:23:11 (CEST)
126 Daniel Amann Collision with environment 24.3 X: 0.0 Y: -0.3 Z: -2.4 X: -61.1 Y: 3.2 Z: 498.6 21:23:31 (CEST)
127 Daniel Amann Collision with environment 3.7 X: 0.9 Y: -0.4 Z: -1.9 X: -47.8 Y: 3.1 Z: 511.4 21:23:46 (CEST)
128 Daniel Amann Collision with environment 0.1 X: 0.9 Y: -0.4 Z: -1.9 X: -30.9 Y: 3.2 Z: 527.7 21:23:51 (CEST)
129 Julian Nitsche Collision with environment 96.6 X: 0.6 Y: 0.1 Z: 2.2 X: -473.7 Y: 3.4 Z: -28.3 21:27:17 (CEST)
130 Julian Nitsche Collision with environment 21.3 X: 0.7 Y: -0.3 Z: -2.3 X: -524.2 Y: 3.2 Z: -102.1 21:27:27 (CEST)
131 Daniel Amann Collision with environment 25.3 X: 0.9 Y: -0.4 Z: -1.9 X: -607.1 Y: 3.2 Z: -568.6 21:31:26 (CEST)
132 Julian Nitsche Collision with environment 22.3 X: -1.0 Y: -0.4 Z: 1.8 X: -410.5 Y: 3.0 Z: 4.7 21:31:57 (CEST)
133 Julian Nitsche Collision with environment 22.5 X: -0.8 Y: -0.4 Z: 2.2 X: -605.2 Y: 3.0 Z: -531.7 21:32:17 (CEST)
134 Lars Maisack Collision with environment 56.7 X: 0.7 Y: -0.4 Z: 2.2 X: -605.2 Y: 2.8 Z: -516.3 21:36:33 (CEST)
135 Herbert Aeckerle Collision with environment 15.5 X: 0.9 Y: -0.4 Z: 2.2 X: 159.2 Y: 2.7 Z: 736.6 21:37:46 (CEST)
136 Herbert Aeckerle Collision with environment 52.3 X: -0.9 Y: -0.4 Z: 2.2 X: 184.3 Y: 2.3 Z: 735.6 21:39:36 (CEST)
137 Herbert Aeckerle Collision with environment 56.2 X: -0.9 Y: -0.4 Z: 2.2 X: 175.5 Y: 2.4 Z: 727.3 21:39:41 (CEST)
138 Herbert Aeckerle Collision with environment 22.6 X: 1.0 Y: -0.3 Z: -1.1 X: -50.5 Y: 3.2 Z: 534.3 21:39:46 (CEST)
139 Klemens Kowall Collision with environment 91.0 X: 0.8 Y: -0.4 Z: 2.2 X: -605.3 Y: 3.0 Z: -532.3 22:15:34 (CEST)
140 Daniel Amann Collision with environment 36.0 X: -0.7 Y: -0.3 Z: 2.3 X: 730.1 Y: 4.0 Z: 845.4 22:25:56 (CEST)
141 Daniel Amann Collision with environment 2.5 X: 0.8 Y: -0.3 Z: -2.4 X: 750.5 Y: 4.0 Z: 807.8 22:26:11 (CEST)
142 Daniel Amann Collision with environment 0.0 X: 0.9 Y: -0.4 Z: -2.0 X: 750.5 Y: 3.9 Z: 807.9 22:26:16 (CEST)
143 Klemens Kowall Collision with environment 50.7 X: -0.8 Y: -0.4 Z: 2.1 X: -639.5 Y: 2.8 Z: -417.6 22:27:29 (CEST)
144 Daniel Amann Collision with environment 86.0 X: 0.7 Y: -0.4 Z: 2.2 X: -605.1 Y: 3.0 Z: -528.4 22:32:37 (CEST)
145 Klemens Kowall Collision with environment 24.1 X: 0.9 Y: -0.4 Z: 2.2 X: 129.1 Y: 2.6 Z: 708.3 22:33:34 (CEST)
146 Daniel Amann Collision with environment 98.4 X: 0.8 Y: -0.4 Z: 2.2 X: 171.5 Y: 2.7 Z: 749.4 22:38:32 (CEST)
147 Daniel Amann Collision with environment 30.0 X: -0.9 Y: -0.3 Z: 2.2 X: -395.9 Y: 3.0 Z: 18.1 22:42:57 (CEST)
148 Daniel Amann Collision with environment 100.2 X: -0.7 Y: -0.2 Z: 2.3 X: 489.7 Y: 2.8 Z: 322.4 22:48:57 (CEST)
Car Env Rel
SRV Melbourne 2022 - Layout GP (3xDRS) SRV Melbourne 2022 - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Pascal Hein in STM BMW M4 2022
Best: 01:40.438, Potential: 01:40.368
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:56.588 05:19.974 00:23.120 01:13.494 1 S
2 08:57.987 07:50.747 00:23.220 00:44.020 0 S
3 01:42.492
C
00:36.261 00:22.797 00:43.434 1 S
4 01:41.794 00:35.946 00:22.526 00:43.322 0 S
5 05:19.245 04:12.082 00:23.274 00:43.889 0 S
6 01:41.771 00:36.018 00:22.401 00:43.352 0 S
7 01:41.739 00:35.971 00:22.585 00:43.183 0 S
8 05:10.203 03:56.389 00:22.955 00:50.859 0 S
9 01:41.250 00:35.734 00:22.288 00:43.228 0 S
10 06:02.488 04:54.678 00:23.611 00:44.199 0 S
11 01:41.139 00:35.780 00:22.285 00:43.074 0 S
12 01:41.875 00:35.595 00:22.328 00:43.952 0 S
13 02:55.911 01:48.325 00:24.102 00:43.484 0 S
14 01:41.416 00:35.379
S
00:22.342 00:43.695 0 S
15 01:41.454 00:35.493 00:22.360 00:43.601 0 S
16 03:12.991 02:01.949 00:23.805 00:47.237 0 S
17 01:49.540 00:35.763 00:22.243
S
00:51.534 0 S
18 15:23.261 14:16.355 00:23.351 00:43.555 0 S
19 01:41.297 00:35.651 00:22.748 00:42.898 0 S
20 01:41.217 00:36.147 00:22.265 00:42.805 0 S
21 04:06.577 02:53.191 00:23.202 00:50.184 0 S
22 01:41.021 00:35.717 00:22.402 00:42.902 0 S
23 01:40.438
L
L
00:35.426 00:22.266 00:42.746
S
S
0 S
24 02:41.213 01:34.028 00:22.996 00:44.189 1 S
25 01:41.527 00:36.034 00:22.397 00:43.096 0 S
26 03:27.780 02:01.906 00:23.053 01:02.821 0 S
27 01:45.290 00:39.374 00:22.617 00:43.299 0 S
28 01:41.635 00:36.038 00:22.420 00:43.177 0 S
29 01:41.472 00:35.772 00:22.441 00:43.259 0 S
30 01:41.726 00:35.855 00:22.465 00:43.406 0 S
31 01:42.071 00:36.200 00:22.456 00:43.415 0 S
32 01:41.990 00:35.957 00:22.456 00:43.577 0 S
33 01:41.919 00:35.944 00:22.455 00:43.520 0 S
34 01:42.149 00:36.107 00:22.545 00:43.497 0 S
35 01:42.458 00:36.300 00:22.481 00:43.677 0 S
36 01:42.364 00:36.151 00:22.487 00:43.726 0 S
37 01:42.713
C
00:36.334 00:22.729 00:43.650 1 S
38 01:43.030 00:36.398 00:22.667 00:43.965 0 S
39 01:42.943 00:36.419 00:22.572 00:43.952 0 S
40 01:43.091
C
00:36.572 00:22.577 00:43.942 1 S
41 01:43.867 00:36.538 00:23.270 00:44.059 0 S
42 01:43.137 00:36.573 00:22.715 00:43.849 0 S
43 01:43.554 00:36.720 00:22.589 00:44.245 0 S
44 02:02.003
C
00:36.535 00:22.621 01:02.847 1 H
45 01:50.658
C
00:43.500 00:22.954 00:44.204 1 H
46 01:43.625 00:36.598 00:22.783 00:44.244 0 H
47 01:43.259 00:36.660 00:22.662 00:43.937 0 H
48 01:42.927 00:36.439 00:22.622 00:43.866 0 H
49 01:42.635 00:36.386 00:22.564 00:43.685 0 H
2nd Stefan Herler in STM Audi RS5 2022
Best: 01:40.438, Potential: 01:40.360
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:25.144 01:18.063 00:23.026 00:44.055 1 S
2 01:42.097 00:36.032 00:22.401 00:43.664 0 S
3 01:42.290 00:36.105 00:22.563 00:43.622 0 S
4 01:41.523 00:36.020 00:22.321 00:43.182 0 S
5 01:42.131 00:36.035 00:22.285 00:43.811 0 S
6 01:42.099 00:36.002 00:22.393 00:43.704 0 S
7 01:42.789 00:36.702 00:22.472 00:43.615 0 S
8 01:42.703 00:36.107 00:22.474 00:44.122 0 S
9 01:42.821 00:36.010 00:22.451 00:44.360 0 S
10 01:42.593 00:36.300 00:22.553 00:43.740 0 S
11 01:42.756 00:36.390 00:22.500 00:43.866 0 S
12 01:42.887 00:36.386 00:22.663 00:43.838 0 S
13 01:46.004 00:36.475 00:22.774 00:46.755 0 S
14 04:29.453 03:22.831 00:22.954 00:43.668 0 S
15 01:41.568 00:35.980 00:22.325 00:43.263 0 S
16 01:41.879 00:35.941 00:22.302 00:43.636 0 S
17 01:41.617
C
00:35.913 00:22.265 00:43.439 1 S
18 01:42.048 00:36.177 00:22.355 00:43.516 0 S
19 01:42.163 00:36.121 00:22.712 00:43.330 0 S
20 03:53.209 02:44.125 00:23.841 00:45.243 0 S
21 01:41.089 00:35.529 00:22.306 00:43.254 0 S
22 01:42.983 00:35.673 00:22.234 00:45.076 0 S
23 02:14.179 01:04.731 00:22.860 00:46.588 0 S
24 01:40.842 00:35.573 00:22.190 00:43.079 0 S
25 03:59.719 02:47.651 00:25.214 00:46.854 0 S
26 01:40.697 00:35.636 00:22.172 00:42.889 0 S
27 02:28.849 01:20.354 00:22.915 00:45.580 0 S
28 01:44.270
C
00:35.582 00:23.778 00:44.910 1 S
29 01:40.695 00:35.566 00:22.167 00:42.962 0 S
30 02:24.288 01:16.788 00:23.692 00:43.808 0 S
31 01:40.619 00:35.392 00:22.253 00:42.974 0 S
32 02:18.817 01:11.051 00:23.436 00:44.330 1 S
33 02:33.591 01:26.622 00:23.246 00:43.723 0 S
34 02:14.482 01:06.797 00:23.841 00:43.844 0 S
35 02:49.133 01:41.417 00:24.116 00:43.600 0 S
36 01:40.577 00:35.471 00:22.267 00:42.839
S
0 S
37 02:33.515 01:26.038 00:23.553 00:43.924 0 S
38 01:40.658 00:35.507 00:22.158
S
S
00:42.993 0 S
39 01:40.438
L
L
00:35.363
S
S
00:22.167 00:42.908 0 S
40 02:51.955 01:44.896 00:22.846 00:44.213 0 S
41 01:41.476 00:35.641 00:22.495 00:43.340 0 S
42 01:41.291 00:35.600 00:22.307 00:43.384 0 S
43 01:40.838 00:35.508 00:22.220 00:43.110 0 S
44 02:07.137 00:59.785 00:23.026 00:44.326 0 S
45 01:40.921 00:35.554 00:22.221 00:43.146 0 S
46 02:29.423 01:22.094 00:23.428 00:43.901 0 S
47 01:41.662 00:35.854 00:22.486 00:43.322 0 S
48 01:41.769 00:36.087 00:22.396 00:43.286 0 S
49 01:41.754
C
00:35.937 00:22.315 00:43.502 1 S
50 01:41.497
C
00:36.013 00:22.302 00:43.182 1 S
51 01:41.440 00:35.825 00:22.406 00:43.209 0 S
52 01:42.016 00:36.095 00:22.411 00:43.510 0 S
53 01:42.124 00:36.023 00:22.347 00:43.754 0 S
54 01:42.057 00:36.159 00:22.373 00:43.525 0 S
55 01:42.627 00:36.350 00:22.505 00:43.772 0 S
56 01:42.604 00:36.261 00:22.481 00:43.862 0 S
57 01:42.677 00:36.384 00:22.499 00:43.794 0 S
58 01:43.287 00:36.394 00:22.495 00:44.398 0 S
59 02:01.023 00:36.611 00:22.541 01:01.871 1 H
60 01:50.403 00:43.415 00:22.883 00:44.105 1 H
61 01:42.721 00:36.274 00:22.486 00:43.961 0 H
62 01:42.749 00:36.212 00:22.509 00:44.028 0 H
3rd Tim Quoos in STM Audi RS5 2022
Best: 01:41.626, Potential: 01:41.261
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:21.869 03:12.444 00:23.584 00:45.841 1 H
2 01:44.524 00:36.682 00:22.478 00:45.364 0 H
3 01:43.627 00:36.518 00:22.514 00:44.595 0 H
4 01:43.825 00:36.977 00:22.487 00:44.361 0 H
5 01:43.190 00:36.635 00:22.455 00:44.100 0 H
6 03:40.552 02:30.703 00:22.918 00:46.931 0 H
7 01:44.977
C
00:37.247 00:22.942 00:44.788 1 H
8 01:43.316 00:36.501 00:22.679 00:44.136 0 H
9 02:31.625 01:24.364 00:23.134 00:44.127 0 S
10 01:47.517 00:36.385 00:22.450 00:48.682 0 S
11 01:42.303 00:36.067 00:22.410 00:43.826 0 S
12 01:43.144 00:36.081 00:23.066 00:43.997 0 S
13 03:15.206 02:08.957 00:23.108 00:43.141
S
0 S
14 01:41.626
L
00:35.773
S
00:22.361 00:43.492 0 S
15 41:28.496 40:19.858 00:23.377 00:45.261 0 S
16 01:42.072 00:36.497 00:22.347
S
00:43.228 0 S
17 01:44.526
C
00:36.216 00:22.401 00:45.909 1 S
4th Eileen Weimer in STM Audi RS5 2022
Best: 01:42.014, Potential: 01:42.014
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:53.958 01:45.724 00:22.977 00:45.257 1 H
2 01:44.994 00:37.323 00:22.729 00:44.942 0 H
3 02:39.803 01:31.714 00:23.054 00:45.035 0 H
4 01:44.781
C
00:36.975 00:22.562 00:45.244 1 H
5 01:45.893 00:37.201 00:22.680 00:46.012 0 H
6 01:44.582 00:37.096 00:22.594 00:44.892 0 H
7 01:44.285 00:36.975 00:22.576 00:44.734 0 H
8 01:44.641 00:37.280 00:22.581 00:44.780 0 H
9 03:42.868 02:34.027 00:23.233 00:45.608 0 H
10 01:46.503 00:38.521 00:23.107 00:44.875 0 H
11 01:44.606 00:37.088 00:22.860 00:44.658 0 H
12 01:45.239
C
00:37.605 00:22.900 00:44.734 1 H
13 01:45.114
C
00:37.011 00:23.094 00:45.009 1 H
14 02:33.976 01:26.368 00:23.206 00:44.402 0 S
15 01:43.209 00:36.752 00:22.437 00:44.020 0 S
16 02:00.176 00:36.801 00:38.803 00:44.572 0 S
17 01:44.411 00:36.866 00:22.820 00:44.725 0 S
18 01:43.696 00:36.632 00:22.555 00:44.509 0 S
19 01:43.793 00:36.941 00:22.609 00:44.243 0 S
20 01:44.677 00:37.078 00:22.774 00:44.825 0 S
21 01:44.896 00:36.923 00:23.194 00:44.779 0 S
22 02:19.699 01:12.420 00:22.967 00:44.312 0 S
23 01:43.542 00:36.874 00:22.477 00:44.191 0 S
24 01:43.540 00:36.918 00:22.562 00:44.060 0 S
25 01:43.442 00:36.541 00:22.460 00:44.441 0 S
26 01:43.012
C
00:36.587 00:22.590 00:43.835 1 S
27 03:09.725 02:01.740 00:22.985 00:45.000 0 S
28 01:42.755 00:36.394 00:22.586 00:43.775 0 S
29 02:56.627 01:49.461 00:22.725 00:44.441 0 S
30 01:42.351 00:36.156 00:22.445 00:43.750 0 S
31 01:42.014
L
00:36.072
S
00:22.400
S
00:43.542
S
0 S
5th Thomas Kneissler in STM Audi RS5 2022
Best: 01:42.169, Potential: 01:42.137
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:20.608 03:04.128 00:40.144 01:36.336 1 S
2 02:09.930 00:59.037 00:23.705 00:47.188 0 S
3 01:47.000 00:38.204 00:23.185 00:45.611 0 S
4 01:47.377 00:37.362 00:23.300 00:46.715 0 S
5 01:46.259 00:37.643 00:23.140 00:45.476 0 S
6 01:45.636 00:37.560 00:23.049 00:45.027 0 S
7 01:45.101 00:37.125 00:23.035 00:44.941 0 S
8 01:45.289 00:37.190 00:23.059 00:45.040 0 S
9 01:45.044 00:37.099 00:22.954 00:44.991 0 S
10 01:45.541 00:38.001 00:22.918 00:44.622 0 S
11 01:45.044 00:37.230 00:22.801 00:45.013 0 S
12 01:50.433 00:37.330 00:22.770 00:50.333 0 S
13 01:44.949 00:37.349 00:22.851 00:44.749 0 S
14 01:45.948
C
00:37.494 00:22.941 00:45.513 1 S
15 02:09.019 00:37.160 00:26.411 01:05.448 1 H
16 01:55.512 00:45.599 00:23.751 00:46.162 1 H
17 01:47.482 00:37.660 00:23.193 00:46.629 0 H
18 01:46.160 00:37.900 00:23.062 00:45.198 0 H
19 01:48.192 00:37.407 00:25.344 00:45.441 1 H
20 01:48.814 00:38.124 00:23.139 00:47.551 0 H
21 01:46.759
C
00:37.945 00:23.472 00:45.342 1 H
22 01:47.834 00:37.459 00:24.858 00:45.517 0 H
23 01:46.081 00:37.519 00:23.000 00:45.562 0 H
24 04:03.307 02:54.362 00:23.707 00:45.238 0 S
25 01:43.006 00:36.582 00:22.603 00:43.821 0 S
26 01:42.502 00:36.204 00:22.527
S
00:43.771 0 S
27 01:42.169
L
00:35.978
S
00:22.559 00:43.632
S
0 S
6th Philipp Krauslach in STM Mercedes AMG C63 2022
Best: 01:42.188, Potential: 01:41.846
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:42.861 01:33.552 00:23.665 00:45.644 1 S
2 01:44.647 00:36.845 00:22.644 00:45.158 0 S
3 01:43.465 00:36.910 00:22.599 00:43.956 0 S
4 01:43.578 00:36.523 00:23.045 00:44.010 0 S
5 01:43.747 00:37.062 00:22.535 00:44.150 0 S
6 01:44.815 00:37.158 00:22.419 00:45.238 0 S
7 01:45.963
C
00:37.490 00:22.554 00:45.919 1 S
8 01:43.796 00:36.882 00:22.581 00:44.333 0 S
9 01:44.664 00:36.678 00:22.661 00:45.325 0 S
10 01:44.580 00:37.426 00:22.846 00:44.308 0 S
11 01:43.725 00:36.724 00:22.604 00:44.397 0 S
12 01:44.764 00:37.017 00:22.715 00:45.032 0 S
13 02:05.002 00:37.032 00:22.558 01:05.412 1 S
14 01:55.062 00:45.780 00:24.570 00:44.712 1 S
15 01:43.432 00:36.863 00:22.581 00:43.988 0 S
16 01:43.073 00:36.726 00:22.491 00:43.856 0 S
17 05:06.111 03:57.594 00:23.409 00:45.108 0 S
18 01:43.626
C
00:36.449 00:22.379 00:44.798 1 S
19 01:42.649 00:36.355 00:22.684 00:43.610 0 S
20 05:28.240 04:19.574 00:23.635 00:45.031 0 S
21 01:42.331 00:36.082 00:22.342 00:43.907 0 S
22 04:07.969 02:59.587 00:23.625 00:44.757 0 S
23 01:43.739 00:36.757 00:22.482 00:44.500 0 S
24 01:43.593 00:36.290 00:22.330 00:44.973 0 S
25 02:43.944 01:35.471 00:23.311 00:45.162 0 S
26 01:43.085 00:36.724 00:22.275
S
00:44.086 0 S
27 01:43.413
C
00:37.312 00:22.316 00:43.785 1 S
28 01:42.743
C
00:36.234 00:22.338 00:44.171 1 S
29 02:18.233 01:10.445 00:23.419 00:44.369 0 S
30 01:42.926
C
00:36.133 00:22.612 00:44.181 1 S
31 01:42.333 00:36.074 00:22.437 00:43.822 0 S
32 01:42.158
C
00:36.053 00:22.595 00:43.510 1 S
33 02:39.887 01:31.231 00:23.522 00:45.134 0 S
34 01:42.188
L
00:36.178 00:22.451 00:43.559
S
0 S
35 01:43.718 00:36.218 00:22.311 00:45.189 0 S
36 01:42.409 00:36.012
S
00:22.518 00:43.879 0 S
37 02:43.603 01:35.532 00:23.287 00:44.784 0 S
38 01:42.246 00:36.104 00:22.280 00:43.862 0 S
39 01:43.841
C
00:37.309 00:22.451 00:44.081 1 S
7th Fred Dohnke in STM Mercedes AMG C63 2022
Best: 01:42.593, Potential: 01:42.403
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:18.451 02:08.706 00:23.602 00:46.143 1 S
2 01:47.421 00:36.964 00:22.837 00:47.620 0 S
3 01:44.350 00:36.832 00:22.954 00:44.564 0 S
4 11:56.046 10:46.854 00:23.535 00:45.657 0 S
5 01:43.841 00:36.310 00:22.748 00:44.783 0 S
6 01:45.752
C
00:36.218 00:22.572 00:46.962 1 S
7 06:01.708 04:51.972 00:23.809 00:45.927 0 S
8 01:44.581 00:36.923 00:23.095 00:44.563 0 S
9 01:42.840 00:36.302 00:22.568 00:43.970 0 S
10 01:44.220 00:36.477 00:22.391
S
00:45.352 0 S
11 03:02.168 01:53.895 00:23.651 00:44.622 0 S
12 01:42.593
L
00:36.254
S
00:22.581 00:43.758
S
0 S
13 01:44.016
C
00:36.088 00:22.639 00:45.289 1 S
8th Steffen Maschke in STM Audi RS5 2022
Best: 01:42.742, Potential: 01:42.742
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:17.650 02:06.563 00:25.048 00:46.039 1 S
2 01:43.150
C
00:36.626 00:22.577 00:43.947 1 S
3 01:44.685 00:37.274 00:22.775 00:44.636 0 S
4 02:31.352 01:22.637 00:23.697 00:45.018 0 S
5 01:43.624 00:36.547 00:22.739 00:44.338 0 S
6 01:43.236 00:36.429 00:22.760 00:44.047 0 S
7 03:06.245 01:58.309 00:23.135 00:44.801 0 S
8 01:43.862 00:36.849 00:22.657 00:44.356 0 S
9 01:42.742
L
00:36.254
S
00:22.509
S
00:43.979
S
0 S
10 03:25.926 02:18.421 00:23.260 00:44.245 0 S
11 20:34.102 19:26.377 00:23.270 00:44.455 0 S
12 01:44.028
C
00:36.541 00:22.941 00:44.546 1 S
13 01:43.715 00:36.494 00:22.892 00:44.329 0 S
14 03:21.494 01:52.867 00:23.805 01:04.822 0 H
15 01:55.013
C
00:45.335 00:23.526 00:46.152 1 H
16 01:46.819 00:37.294 00:23.126 00:46.399 0 H
17 05:04.296 03:55.261 00:23.720 00:45.315 0 S
18 02:44.285 01:35.233 00:23.463 00:45.589 0 H
19 01:45.964
C
00:36.790 00:24.016 00:45.158 1 H
9th Michael Weimer in STM Audi RS5 2022
Best: 01:42.807, Potential: 01:42.545
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:44.557 04:36.549 00:22.877 00:45.131 1 S
2 01:50.017 00:40.240 00:22.747 00:47.030 0 S
3 01:43.586 00:36.996 00:22.608 00:43.982 0 S
4 05:02.601 03:54.498 00:23.179 00:44.924 0 S
5 02:55.437 01:47.568 00:23.139 00:44.730 0 S
6 04:40.624 03:31.643 00:23.576 00:45.405 0 S
7 05:52.544 04:44.847 00:22.949 00:44.748 0 S
8 01:43.080 00:36.376 00:22.419
S
00:44.285 0 S
9 08:25.813 07:18.376 00:23.044 00:44.393 0 S
10 01:43.798 00:36.581 00:22.514 00:44.703 0 S
11 03:28.301 02:20.095 00:23.180 00:45.026 0 S
12 05:20.952 04:13.173 00:22.945 00:44.834 0 S
13 03:26.491 02:18.955 00:23.076 00:44.460 0 S
14 02:45.241 01:37.503 00:22.941 00:44.797 0 S
15 01:44.199 00:36.815 00:22.509 00:44.875 0 S
16 01:43.868 00:36.472 00:22.576 00:44.820 0 S
17 01:43.322 00:36.363 00:22.527 00:44.432 0 S
18 02:48.010 01:40.011 00:23.062 00:44.937 0 S
19 01:44.649 00:36.464 00:22.438 00:45.747 0 S
20 03:02.096 01:54.169 00:23.611 00:44.316 0 S
21 01:43.417 00:36.345
S
00:22.612 00:44.460 0 S
22 03:23.608 02:14.713 00:23.198 00:45.697 0 S
23 03:41.109 02:33.482 00:22.784 00:44.843 0 S
24 03:50.039 02:41.293 00:23.503 00:45.243 0 S
25 03:43.742 02:35.316 00:23.355 00:45.071 0 S
26 01:44.033 00:36.669 00:22.472 00:44.892 0 S
27 01:46.536 00:37.722 00:23.881 00:44.933 0 S
28 01:42.807
L
00:36.405 00:22.621 00:43.781
S
0 S
29 03:41.458 02:30.435 00:23.629 00:47.394 0 S
30 07:47.821 06:38.570 00:23.950 00:45.301 0 S
31 01:43.883 00:36.681 00:22.679 00:44.523 0 S
32 03:00.952 01:53.250 00:23.066 00:44.636 0 S
33 01:43.136 00:36.662 00:22.519 00:43.955 0 S
34 06:05.970 04:57.938 00:23.275 00:44.757 0 S
35 01:44.292 00:36.990 00:22.833 00:44.469 0 S
36 01:43.005 00:36.450 00:22.513 00:44.042 0 S
37 03:20.679 02:12.580 00:23.531 00:44.568 1 S
38 01:43.486
C
00:36.854 00:22.455 00:44.177 1 S
39 03:52.800 02:45.097 00:23.081 00:44.622 0 S
40 03:55.242 02:48.146 00:22.761 00:44.335 0 S
41 01:42.748
C
00:36.400 00:22.253 00:44.095 1 S
10th Uemit Zobu in STM BMW M4 2022
Best: 01:42.809, Potential: 01:42.539
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:44.432 03:34.269 00:24.597 00:45.566 1 S
2 01:45.924 00:38.694 00:22.742 00:44.488 0 S
3 01:44.949 00:37.089 00:22.733 00:45.127 0 S
4 01:44.849 00:37.426 00:22.747 00:44.676 0 S
5 01:52.116 00:40.619 00:22.626 00:48.871 0 S
6 02:12.939 00:36.333 00:22.635 01:13.971 1 H
7 01:59.691 00:51.003 00:23.615 00:45.073 1 H
8 01:45.317 00:37.197 00:22.783 00:45.337 0 H
9 01:48.430 00:38.720 00:23.175 00:46.535 0 H
10 04:30.545 03:22.172 00:23.922 00:44.451 0 S
11 03:14.843 02:06.606 00:23.606 00:44.631 0 S
12 01:43.799 00:36.533 00:22.923 00:44.343 0 S
13 04:08.799 03:00.624 00:23.192 00:44.983 0 S
14 01:44.219 00:36.760 00:23.000 00:44.459 0 S
15 01:42.809
L
00:36.070
S
00:22.626 00:44.113 0 S
16 01:43.341 00:36.363 00:22.540
S
00:44.438 0 S
17 03:58.140 02:48.754 00:24.093 00:45.293 0 S
18 01:44.003 00:36.675 00:22.626 00:44.702 0 S
19 01:44.281 00:36.506 00:22.662 00:45.113 0 S
20 01:44.770 00:38.157 00:22.684 00:43.929
S
0 S
21 01:43.397 00:36.334 00:22.644 00:44.419 0 S
11th Julian Nitsche in STM Mercedes AMG C63 2022
Best: 01:43.473, Potential: 01:42.893
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:06.003 02:54.669 00:24.218 00:47.116 1 S
2 01:48.512 00:38.740 00:23.580 00:46.192 0 S
3 01:47.876 00:37.947 00:23.778 00:46.151 0 S
4 02:01.354
C
00:37.600 00:23.409 01:00.345 1 S
5 02:05.582
C
00:38.701 00:23.508 01:03.373 1 S
6 01:54.275
C
00:44.210 00:23.428 00:46.637 1 S
7 04:28.585 03:13.575 00:25.573 00:49.437 0 S
8 01:46.858 00:37.792 00:23.310 00:45.756 0 S
9 01:47.907 00:38.953 00:23.175 00:45.779 0 S
10 01:49.637 00:37.764 00:26.545 00:45.328 0 S
11 01:52.520 00:40.152 00:23.093 00:49.275 0 S
12 02:06.650 00:38.010 00:23.332 01:05.308 0 S
13 01:47.683 00:38.135 00:23.392 00:46.156 0 S
14 03:33.454 02:24.600 00:23.498 00:45.356 0 S
15 01:44.410 00:37.054 00:22.689 00:44.667 0 S
16 01:44.478 00:37.207 00:22.604 00:44.667 0 S
17 08:40.676 07:32.483 00:23.401 00:44.792 0 S
18 01:44.623 00:37.478 00:22.473
S
00:44.672 0 S
19 04:38.736 03:25.781 00:28.170 00:44.785 0 S
20 01:44.620 00:36.638 00:22.653 00:45.329 0 S
21 01:43.960 00:36.293
S
00:22.671 00:44.996 0 S
22 01:56.430 00:48.619 00:23.098 00:44.713 0 S
23 03:47.798 02:39.200 00:23.536 00:45.062 0 S
24 02:00.990 00:36.542 00:22.901 01:01.547 0 S
25 03:10.386 01:59.866 00:23.162 00:47.358 0 S
26 01:43.473
L
00:36.332 00:22.577 00:44.564 0 S
27 04:32.340 03:23.863 00:23.675 00:44.802 0 S
28 01:43.535 00:36.828 00:22.580 00:44.127
S
0 S
29 02:54.737 01:46.364 00:23.175 00:45.198 0 S
30 01:44.898 00:37.218 00:22.707 00:44.973 0 S
31 09:02.920 07:54.479 00:23.153 00:45.288 0 S
32 01:43.919 00:36.829 00:22.666 00:44.424 0 S
12th Lars Maisack in STM BMW M4 2022
Best: 01:44.064, Potential: 01:43.407
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 13:31.608 12:21.142 00:24.089 00:46.377 1 S
2 01:49.606 00:37.975 00:25.375 00:46.256 0 S
3 02:56.018 01:46.611 00:23.827 00:45.580 0 S
4 01:48.844 00:40.233 00:22.923 00:45.688 0 S
5 01:45.665 00:37.229 00:22.766 00:45.670 0 S
6 01:48.988 00:36.988 00:22.770 00:49.230 0 S
7 02:27.372 01:17.446 00:24.107 00:45.819 0 S
8 01:46.618
C
00:38.232 00:23.116 00:45.270 1 S
9 01:48.743 00:40.235 00:22.860 00:45.648 0 S
10 03:51.973 02:41.544 00:24.682 00:45.747 0 S
11 01:47.978
C
00:39.831 00:23.093 00:45.054 1 S
12 03:50.209 02:40.626 00:23.845 00:45.738 0 S
13 01:46.916 00:38.471 00:22.600 00:45.845 0 S
14 01:44.632
C
00:36.916 00:22.828 00:44.888 1 S
15 01:50.885
C
00:42.719 00:22.564 00:45.602 1 S
16 04:02.678 02:45.931 00:23.621 00:53.126 0 S
17 12:51.982 11:42.434 00:24.233 00:45.315 0 S
18 01:47.992 00:39.803 00:22.847 00:45.342 0 S
19 04:01.534 02:51.789 00:23.841 00:45.904 0 S
20 03:36.293 02:27.480 00:23.557 00:45.256 0 S
21 01:47.481
C
00:39.729 00:22.986 00:44.766 1 S
22 01:45.389 00:37.498 00:22.914 00:44.977 0 S
23 01:45.366 00:37.798 00:22.612 00:44.956 0 S
24 02:17.632 01:05.673 00:25.564 00:46.395 0 S
25 06:30.507 05:21.796 00:23.931 00:44.780 0 S
26 01:46.762 00:38.862 00:22.927 00:44.973 0 S
27 03:44.033 02:35.526 00:23.399 00:45.108 0 S
28 01:48.102 00:40.921 00:22.882 00:44.299
S
0 S
29 01:46.488 00:39.190 00:22.473 00:44.825 0 S
30 03:30.950 02:21.876 00:23.953 00:45.121 0 S
31 01:47.039 00:39.189 00:22.716 00:45.134 0 S
32 02:56.088 01:46.157 00:24.215 00:45.716 0 S
33 01:49.565 00:38.740 00:22.635 00:48.190 0 S
34 01:48.308 00:37.514 00:23.238 00:47.556 0 S
35 01:44.565 00:37.051 00:22.783 00:44.731 0 S
36 02:43.602 01:33.496 00:23.548 00:46.558 0 S
37 20:50.532 19:41.596 00:23.337 00:45.599 0 S
38 01:45.381
C
00:37.233 00:22.688 00:45.460 1 S
39 01:44.589 00:37.277 00:22.662 00:44.650 0 S
40 02:22.397 01:13.093 00:23.121 00:46.183 0 S
41 01:48.417 00:37.303 00:22.765 00:48.349 0 S
42 03:32.939 02:21.457 00:23.521 00:47.961 0 S
43 03:36.822 02:28.656 00:23.274 00:44.892 0 S
44 01:47.514 00:39.591 00:22.887 00:45.036 0 S
45 02:50.077 01:40.525 00:23.377 00:46.175 0 S
46 06:59.100 05:45.452 00:25.556 00:48.092 0 H
47 01:47.631 00:38.421 00:23.039 00:46.171 0 H
48 04:16.995 03:06.790 00:23.521 00:46.684 0 H
49 01:47.973 00:38.110 00:23.081 00:46.782 0 H
50 02:17.960 01:07.887 00:23.642 00:46.431 0 H
51 01:50.189 00:39.701 00:23.158 00:47.330 0 H
52 11:59.814 10:49.982 00:23.805 00:46.027 0 S
53 01:47.090
C
00:37.665 00:22.688 00:46.737 1 S
54 01:44.978 00:37.627 00:22.464
S
00:44.887 0 S
55 03:52.868 02:44.437 00:23.234 00:45.197 0 S
56 01:48.916 00:38.271 00:25.001 00:45.644 0 S
57 01:46.939 00:37.761 00:22.684 00:46.494 0 S
58 02:14.808 01:06.623 00:23.477 00:44.708 0 S
59 01:44.782 00:37.111 00:22.783 00:44.888 0 S
60 01:44.239 00:36.874 00:22.928 00:44.437 0 S
61 01:44.064
L
00:36.644
S
00:22.681 00:44.739 0 S
62 02:36.402 01:27.822 00:23.805 00:44.775 0 S
63 01:44.269 00:36.949 00:23.000 00:44.320 0 S
13th Daniel Amann in STM BMW M4 2022
Best: 01:44.586, Potential: 01:44.203
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:34.216 01:22.544 00:24.930 00:46.742 1 S
2 01:51.484 00:37.585 00:27.455 00:46.444 0 S
3 01:48.604 00:40.263 00:23.022 00:45.319 0 S
4 01:57.663 00:44.119 00:23.031 00:50.513 0 S
5 06:31.166 05:20.962 00:24.628 00:45.576 0 S
6 01:44.987 00:37.375 00:22.806 00:44.806 0 S
7 01:47.332 00:38.370 00:22.940 00:46.022 0 S
8 17:03.260 15:10.059 00:30.438 01:22.763 0 S
9 01:48.768 00:39.985 00:23.364 00:45.419 0 S
10 01:45.371 00:37.462 00:23.143 00:44.766 0 S
11 02:35.540 01:26.357 00:23.544 00:45.639 1 S
12 01:49.897 00:38.370 00:26.153 00:45.374 0 S
13 01:49.833
C
00:40.829 00:23.499 00:45.505 1 S
14 03:30.186 02:17.303 00:24.273 00:48.610 0 S
15 02:34.408 01:24.424 00:23.332 00:46.652 0 S
16 01:49.661 00:37.756 00:26.447 00:45.458 0 S
17 01:51.692 00:38.437 00:25.407 00:47.848 0 S
18 03:40.161 02:30.870 00:23.404 00:45.887 0 S
19 01:50.029 00:39.357 00:23.296 00:47.376 0 S
20 04:21.833 03:11.678 00:23.855 00:46.300 0 S
21 01:45.289 00:37.429 00:22.766 00:45.094 0 S
22 02:38.361 01:22.626 00:23.760 00:51.975 1 H
23 03:56.857 02:46.095 00:24.219 00:46.543 0 S
24 01:46.151 00:37.904 00:22.942 00:45.305 0 S
25 01:47.395 00:37.019 00:23.058 00:47.318 0 S
26 01:46.192 00:38.692 00:22.752 00:44.748 0 S
27 01:45.486 00:37.382 00:22.807 00:45.297 0 S
28 01:46.015
C
00:37.642 00:22.851 00:45.522 1 S
29 04:28.111 03:13.681 00:24.647 00:49.783 0 S
30 01:50.390 00:40.803 00:23.683 00:45.904 0 S
31 01:45.091 00:37.654 00:22.927 00:44.510
S
0 S
32 05:52.382 04:35.046 00:26.586 00:50.750 0 S
33 01:45.761 00:37.146 00:23.201 00:45.414 0 S
34 01:47.381
C
00:38.414 00:23.076 00:45.891 1 S
35 55:49.542 54:10.145 00:28.675 01:10.722 0 S
36 01:49.057 00:37.228 00:23.125 00:48.704 0 S
37 01:44.586
L
00:36.969
S
00:22.724
S
00:44.893 0 S
38 01:46.172 00:37.016 00:23.517 00:45.639 0 S
39 03:59.511 01:50.765 00:24.175 01:44.571 0 S
40 04:47.361 03:37.075 00:23.476 00:46.810 0 S
41 01:48.890 00:37.637 00:23.256 00:47.997 0 S
42 03:12.639 01:55.733 00:24.467 00:52.439 0 H
43 01:48.009 00:38.249 00:23.824 00:45.936 0 H
44 06:16.613 05:03.596 00:23.977 00:49.040 0 S
14th Klemens Kowall in STM Mercedes AMG C63 2022
Best: 01:44.683, Potential: 01:44.274
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:23.334 02:09.691 00:24.741 00:48.902 1 H
2 01:52.410
C
00:40.585 00:24.156 00:47.669 1 H
3 01:51.078
C
00:39.905 00:24.516 00:46.657 1 H
4 01:49.431 00:39.266 00:23.338 00:46.827 0 H
5 01:50.906 00:39.293 00:24.093 00:47.520 0 H
6 01:49.348 00:39.269 00:23.567 00:46.512 0 H
7 03:01.882 01:51.362 00:23.774 00:46.746 0 H
8 01:47.659 00:38.633 00:23.162 00:45.864 0 H
9 04:50.980 03:41.360 00:23.756 00:45.864 0 S
10 01:46.053 00:37.891 00:23.161 00:45.001 0 S
11 01:44.683
L
00:37.489 00:22.703
S
00:44.491
S
0 S
12 04:31.076 03:19.014 00:24.326 00:47.736 0 S
13 01:51.607 00:39.233 00:24.022 00:48.352 0 S
14 01:51.601 00:39.129 00:24.961 00:47.511 0 S
15 05:03.747 03:53.538 00:23.975 00:46.234 0 S
16 01:47.568 00:39.028 00:22.882 00:45.658 0 S
17 01:44.998 00:37.080
S
00:22.837 00:45.081 0 S
15th Christof Garasi in STM BMW M4 2022
Best: 01:47.280, Potential: 01:46.790
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:21.070 02:07.931 00:24.714 00:48.425 1 H
2 01:53.216 00:40.267 00:23.449 00:49.500 0 H
3 02:56.766 01:44.405 00:24.283 00:48.078 1 H
4 01:49.610 00:39.379 00:23.499 00:46.732 0 H
5 01:50.991
C
00:41.128 00:23.441 00:46.422 1 H
6 01:53.746 00:39.734 00:23.383 00:50.629 0 H
7 01:48.055 00:38.507 00:23.194 00:46.354 0 H
8 01:50.584
C
00:40.289 00:23.040 00:47.255 1 H
9 02:56.428 01:37.795 00:27.675 00:50.958 1 H
10 01:53.194 00:41.239 00:24.233 00:47.722 0 H
11 01:53.874 00:41.955 00:23.966 00:47.953 0 H
12 01:56.396 00:42.696 00:24.668 00:49.032 0 H
13 03:44.494 02:32.202 00:24.138 00:48.154 0 S
14 04:51.776 03:39.335 00:23.959 00:48.482 0 S
15 06:58.341 05:47.420 00:23.734 00:47.187 0 S
16 04:10.569 02:58.591 00:24.012 00:47.966 0 S
17 01:52.612 00:40.297 00:23.998 00:48.317 0 S
18 01:51.862 00:40.186 00:23.229 00:48.447 0 S
19 03:54.199 02:41.276 00:24.669 00:48.254 1 S
20 02:25.081 01:14.674 00:23.639 00:46.768 1 S
21 02:37.181 01:26.271 00:23.732 00:47.178 1 S
22 01:48.003 00:38.721 00:22.986
S
00:46.296 0 S
23 01:47.784 00:38.569 00:23.098 00:46.117 0 S
24 01:47.730 00:38.628 00:23.219 00:45.883
S
0 S
25 01:49.800 00:37.921
S
00:23.220 00:48.659 0 S
26 01:47.280
L
00:38.371 00:23.018 00:45.891 0 S
27 01:50.708 00:41.426 00:23.355 00:45.927 0 S
28 01:47.507
C
00:38.423 00:22.923 00:46.161 1 S
29 09:05.290 07:53.978 00:24.170 00:47.142 0 S
30 01:58.018
C
00:39.070 00:23.130 00:55.818 1 S
16th Herbert Aeckerle in STM Mercedes AMG C63 2022
Best: 01:48.202, Potential: 01:48.190
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:49.404 01:25.865 00:28.647 00:54.892 1 S
2 01:58.044 00:41.417 00:26.119 00:50.508 0 S
3 01:51.797 00:39.662 00:23.747 00:48.388 0 S
4 01:54.113 00:41.421 00:23.854 00:48.838 0 S
5 01:50.671 00:38.536 00:23.621
S
00:48.514 0 S
6 01:51.560 00:39.669 00:23.750 00:48.141 0 S
7 01:53.686 00:40.574 00:23.905 00:49.207 0 S
8 01:56.745 00:43.917 00:23.764 00:49.064 0 S
9 01:59.168 00:44.135 00:24.197 00:50.836 1 S
10 01:55.328 00:42.833 00:23.833 00:48.662 0 S
11 02:07.883 00:53.588 00:24.490 00:49.805 0 S
12 07:08.538 05:54.706 00:24.183 00:49.649 0 S
13 04:20.225 03:02.704 00:25.416 00:52.105 0 H
14 01:52.404 00:39.080 00:24.215 00:49.109 0 H
15 01:54.988 00:41.202 00:24.057 00:49.729 0 H
16 01:54.603 00:42.085 00:23.800 00:48.718 0 H
17 14:22.325 13:06.797 00:25.308 00:50.220 0 S
18 01:52.993 00:39.701 00:24.283 00:49.009 0 S
19 01:52.798 00:40.550 00:23.936 00:48.312 0 S
20 01:50.454
C
00:39.286 00:23.611 00:47.557 1 S
21 01:52.972 00:39.564 00:24.511 00:48.897 0 S
22 01:55.988 00:40.505 00:23.914 00:51.569 0 S
23 02:36.657 00:55.857 00:38.776 01:02.024 0 S
24 01:53.031 00:41.197 00:24.034 00:47.800 0 S
25 01:56.181 00:41.885 00:25.291 00:49.005 0 S
26 01:48.202
L
00:37.746
S
00:23.633 00:46.823
S
0 S
27 01:58.495 00:43.106 00:25.192 00:50.197 0 S
28 02:34.383 00:42.040 00:23.801 01:28.542 1 H
29 02:27.941 00:51.493 00:34.011 01:02.437 1 H
30 02:03.478 00:47.900 00:25.070 00:50.508 0 H
31 01:55.800
C
00:39.786 00:24.835 00:51.179 1 H
32 02:12.012 00:43.748 00:30.335 00:57.929 0 H