SRV Melbourne Layout GP (3xDRS)

19 Jan 22 22:49 CET
Back to Results
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 Stiftung Plankentest II STM BMW M4 2022 01:45.509
Tyre: M
01:55.490 38 laps / 10 cuts
2 HabAuchKeins STM BMW M4 2022 01:45.701
Tyre: S
01:59.618 25 laps / 10 cuts
3 Stiftung Plankentest I STM Audi RS5 2022 01:45.980
Tyre: M
01:48.520 20 laps / 4 cuts
4 SRV Jägermeister eSport II STM Audi RS5 2022 01:46.176
Tyre: M
01:53.758 19 laps / 6 cuts
5 BMS Racing STM Mercedes C63 2022 01:46.452
Tyre: S
02:53.493 24 laps / 6 cuts
6 BMS Racing STM Mercedes C63 2022 01:46.992
Tyre: M
02:08.707 8 laps / 2 cuts
7 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:47.948
Tyre: M
01:51.156 24 laps / 3 cuts
8 SRV Jägermeister eSport II STM Audi RS5 2022 01:48.026
Tyre: M
02:31.772 16 laps / 3 cuts
9 CT Motorsport STM Mercedes C63 2022 01:48.379
Tyre: M
01:49.238 15 laps / 2 cuts
10 SRV Jägermeister eSport I STM Audi RS5 2022 01:48.747
Tyre: M
02:16.342 20 laps / 5 cuts
11 Horizont Personalmanagement Racing STM Audi RS5 2022 01:49.174
Tyre: S
02:39.372 37 laps / 14 cuts
12 HabKeins STM BMW M4 2022 01:49.747
Tyre: M
02:11.764 23 laps / 6 cuts
13 STM BMW M4 2022 01:50.700
Tyre: M
03:03.850 27 laps / 6 cuts
14 CRM Motorsport STM BMW M4 2022 01:51.115
Tyre: M
01:55.316 13 laps / 1 cuts
15 Horizont Personalmanagement Racing STM BMW M4 2022 01:53.891
Tyre: S
02:46.236 35 laps / 8 cuts
16 Bayern Racing STM Mercedes C63 2022 01:54.919
Tyre: M
01:57.791 8 laps / 1 cuts
17 Bayern Racing STM Mercedes C63 2022 01:58.189
Tyre: S
02:07.578 52 laps / 9 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 78.9 X: 0.7 Y: -0.1 Z: 2.3 X: 192.5 Y: 2.6 Z: 742.1 18:21:17 (CET)
2 Collision with environment 11.0 X: 1.0 Y: -0.4 Z: 1.8 X: -562.6 Y: 4.2 Z: -715.0 18:22:46 (CET)
3 Collision with car 30.8 X: -1.0 Y: -0.4 Z: 1.8 X: 101.9 Y: 3.6 Z: -396.8 18:23:11 (CET)
4 Collision with car 24.5 X: 1.0 Y: -0.3 Z: 1.8 X: 101.7 Y: 3.6 Z: -396.8 18:23:14 (CET)
5 Collision with environment 2.2 X: 0.9 Y: -0.3 Z: 2.2 X: -153.7 Y: 2.6 Z: -849.8 18:23:47 (CET)
6 Collision with environment 42.2 X: -0.9 Y: -0.4 Z: -1.9 X: 47.5 Y: 3.5 Z: -369.0 18:25:04 (CET)
7 Collision with environment 8.1 X: 0.9 Y: -0.4 Z: 2.2 X: -113.6 Y: 3.3 Z: -830.4 18:33:11 (CET)
8 Collision with environment 24.8 X: -0.9 Y: -0.4 Z: 2.2 X: -82.6 Y: 3.2 Z: -812.1 18:33:16 (CET)
9 Collision with environment 14.8 X: 0.9 Y: -0.2 Z: -1.8 X: 83.8 Y: 3.4 Z: -685.3 18:33:53 (CET)
10 Collision with environment 3.9 X: -1.0 Y: -0.4 Z: 1.8 X: -641.0 Y: 2.9 Z: -417.1 18:35:01 (CET)
11 Collision with environment 30.4 X: -0.7 Y: -0.4 Z: 2.3 X: -677.4 Y: 2.6 Z: -405.6 18:37:13 (CET)
12 Collision with environment 38.5 X: 0.8 Y: -0.0 Z: -2.4 X: -671.7 Y: 3.1 Z: -406.8 18:38:09 (CET)
13 Collision with car 33.9 X: -0.9 Y: -0.4 Z: 2.2 X: 126.9 Y: 3.6 Z: -425.8 18:41:18 (CET)
14 Collision with car 20.6 X: 0.9 Y: -0.4 Z: 2.2 X: 126.9 Y: 3.6 Z: -425.3 18:41:18 (CET)
15 Collision with environment 33.5 X: 1.0 Y: -0.3 Z: 1.8 X: -607.5 Y: 3.5 Z: -580.0 18:41:27 (CET)
16 Collision with environment 121.8 X: -0.9 Y: -0.4 Z: 2.2 X: -445.8 Y: 3.0 Z: -25.3 18:58:07 (CET)
17 Collision with environment 6.4 X: -1.0 Y: -0.4 Z: 1.8 X: -483.4 Y: 2.9 Z: -59.4 18:58:12 (CET)
18 Collision with environment 9.0 X: -0.9 Y: -0.4 Z: 2.2 X: -558.7 Y: 3.0 Z: -140.2 18:58:17 (CET)
19 Collision with environment 26.3 X: -0.9 Y: -0.4 Z: 2.2 X: 623.2 Y: 3.0 Z: 823.3 18:59:01 (CET)
20 Collision with environment 15.0 X: 1.0 Y: -0.3 Z: 1.8 X: -606.2 Y: 3.3 Z: -550.9 19:01:22 (CET)
21 Collision with environment 28.0 X: 0.9 Y: -0.3 Z: 2.2 X: -607.0 Y: 3.9 Z: -669.2 19:01:27 (CET)
22 Collision with environment 27.4 X: -0.7 Y: -0.4 Z: 2.3 X: 184.6 Y: 2.1 Z: 722.4 19:02:09 (CET)
23 Collision with environment 22.4 X: 0.8 Y: -0.0 Z: -2.4 X: 166.4 Y: 2.6 Z: 705.1 19:02:14 (CET)
24 Collision with environment 35.4 X: 0.7 Y: -0.4 Z: 2.3 X: 159.1 Y: 2.5 Z: 709.4 19:02:19 (CET)
25 Collision with environment 3.8 X: -1.0 Y: -0.4 Z: -1.0 X: 35.5 Y: 3.4 Z: -328.0 19:03:20 (CET)
26 Collision with environment 26.8 X: 1.0 Y: -0.4 Z: 1.8 X: 583.9 Y: 3.2 Z: 856.4 19:03:21 (CET)
27 Collision with environment 16.8 X: -0.9 Y: -0.4 Z: 2.2 X: -350.2 Y: 2.7 Z: 109.0 19:06:05 (CET)
28 Collision with environment 25.2 X: -1.0 Y: -0.3 Z: 1.8 X: -411.5 Y: 3.2 Z: 4.0 19:06:07 (CET)
29 Collision with environment 19.0 X: -0.9 Y: -0.4 Z: -1.9 X: -350.1 Y: 2.8 Z: 109.3 19:06:10 (CET)
30 Collision with environment 4.6 X: -1.0 Y: -0.4 Z: 1.8 X: 32.1 Y: 3.3 Z: -307.3 19:07:17 (CET)
31 Collision with environment 16.5 X: -0.9 Y: -0.4 Z: -1.9 X: 37.5 Y: 3.4 Z: -337.6 19:07:29 (CET)
32 Collision with environment 51.5 X: -1.0 Y: -0.4 Z: 1.8 X: 40.9 Y: 3.4 Z: -353.7 19:08:13 (CET)
33 Collision with environment 55.0 X: 0.7 Y: -0.4 Z: 2.3 X: 50.1 Y: 2.7 Z: -305.2 19:08:18 (CET)
34 Collision with environment 5.5 X: 0.9 Y: -0.4 Z: -1.9 X: 26.5 Y: 3.1 Z: -164.0 19:09:00 (CET)
35 Collision with environment 53.6 X: 0.9 Y: -0.4 Z: 2.2 X: -605.0 Y: 3.8 Z: -672.9 19:09:33 (CET)
36 Collision with environment 39.6 X: 0.9 Y: -0.4 Z: 2.2 X: -604.3 Y: 3.8 Z: -674.1 19:09:38 (CET)
37 Collision with environment 25.0 X: 0.7 Y: -0.4 Z: 2.3 X: -352.5 Y: 3.1 Z: 66.0 19:13:47 (CET)
38 Collision with environment 12.3 X: -0.9 Y: -0.4 Z: -1.9 X: -354.6 Y: 3.0 Z: 70.1 19:13:52 (CET)
39 Collision with environment 22.2 X: -0.7 Y: -0.3 Z: 2.3 X: 619.3 Y: 3.1 Z: 825.1 19:17:35 (CET)
40 Collision with environment 21.3 X: 0.8 Y: -0.2 Z: 2.2 X: -391.2 Y: 2.3 Z: 95.4 19:19:43 (CET)
41 Collision with environment 5.4 X: 0.9 Y: -0.4 Z: 2.2 X: -45.4 Y: 3.2 Z: 511.5 19:20:30 (CET)
42 Collision with environment 31.5 X: -0.9 Y: -0.4 Z: 2.1 X: 83.6 Y: 2.9 Z: -574.5 19:22:58 (CET)
43 Collision with environment 15.0 X: 0.8 Y: -0.3 Z: -2.4 X: 620.2 Y: 3.7 Z: 846.8 19:24:43 (CET)
44 Collision with environment 22.3 X: -0.9 Y: -0.4 Z: 2.2 X: 610.2 Y: 3.0 Z: 829.6 19:24:53 (CET)
45 Collision with environment 22.1 X: -1.0 Y: -0.4 Z: 1.8 X: 35.4 Y: 3.4 Z: -327.5 19:26:53 (CET)
46 Collision with environment 13.5 X: 0.9 Y: -0.4 Z: 2.2 X: 603.7 Y: 3.3 Z: 849.5 19:30:53 (CET)
47 Collision with environment 39.6 X: -0.7 Y: -0.4 Z: 2.3 X: 308.3 Y: 3.0 Z: 735.9 19:31:08 (CET)
48 Collision with environment 4.4 X: 0.7 Y: -0.4 Z: 2.3 X: -674.5 Y: 2.7 Z: -406.8 19:33:26 (CET)
49 Collision with environment 80.3 X: -0.5 Y: -0.4 Z: 2.3 X: -427.2 Y: 3.0 Z: -10.1 19:36:08 (CET)
50 Collision with environment 21.9 X: 0.9 Y: -0.4 Z: -1.9 X: 164.2 Y: 2.7 Z: 741.9 19:36:35 (CET)
51 Collision with environment 40.2 X: -0.9 Y: -0.4 Z: 2.2 X: -660.8 Y: 2.9 Z: -410.4 19:39:21 (CET)
52 Collision with environment 19.0 X: 0.7 Y: -0.4 Z: 2.3 X: -345.0 Y: 2.7 Z: 150.7 19:42:35 (CET)
53 Collision with environment 17.4 X: -1.0 Y: -0.4 Z: 1.8 X: -641.2 Y: 2.9 Z: -417.0 19:45:18 (CET)
54 Collision with environment 10.6 X: -0.9 Y: -0.3 Z: 2.2 X: -478.7 Y: 3.0 Z: -32.8 19:48:58 (CET)
55 Collision with environment 16.4 X: 0.9 Y: -0.4 Z: -1.7 X: 593.0 Y: 3.2 Z: 852.8 19:50:45 (CET)
56 Collision with environment 49.1 X: -0.0 Y: -0.3 Z: 2.4 X: 661.8 Y: 3.3 Z: 807.5 19:51:26 (CET)
57 Collision with environment 73.9 X: 0.9 Y: -0.3 Z: 2.1 X: -607.1 Y: 3.4 Z: -568.2 19:55:23 (CET)
58 Collision with environment 33.8 X: 0.9 Y: -0.4 Z: -1.9 X: -597.8 Y: 4.0 Z: -682.3 19:55:28 (CET)
59 Collision with environment 12.0 X: -0.9 Y: -0.3 Z: 2.2 X: -198.5 Y: 2.9 Z: -840.0 19:55:38 (CET)
60 Collision with environment 28.8 X: -0.9 Y: -0.4 Z: 2.2 X: -391.0 Y: 2.1 Z: 86.9 19:56:08 (CET)
61 Collision with environment 1.3 X: -0.9 Y: -0.4 Z: 2.2 X: -347.4 Y: 2.8 Z: 131.6 19:56:30 (CET)
62 Collision with environment 33.4 X: -0.9 Y: -0.4 Z: 2.2 X: 318.6 Y: 2.7 Z: 728.8 19:56:50 (CET)
63 Collision with environment 55.8 X: -0.9 Y: -0.4 Z: 2.1 X: 607.6 Y: 3.0 Z: 830.9 20:00:00 (CET)
64 Collision with environment 0.6 X: -0.0 Y: -0.4 Z: 2.4 X: -608.9 Y: 2.7 Z: -505.5 20:01:10 (CET)
65 Collision with environment 3.7 X: 0.9 Y: -0.3 Z: 2.2 X: -5.2 Y: 3.2 Z: 550.3 20:04:16 (CET)
66 Collision with environment 3.2 X: 1.0 Y: -0.3 Z: -1.0 X: -606.8 Y: 3.4 Z: -563.4 20:08:41 (CET)
67 Collision with environment 23.3 X: -0.8 Y: -0.1 Z: 2.2 X: 454.1 Y: 2.5 Z: 831.7 20:08:58 (CET)
68 Collision with environment 18.3 X: -1.0 Y: -0.4 Z: 1.8 X: -414.6 Y: 3.0 Z: 1.4 20:09:14 (CET)
69 Collision with environment 16.6 X: -0.9 Y: -0.3 Z: -1.9 X: -500.5 Y: 3.1 Z: -76.2 20:09:19 (CET)
70 Collision with environment 24.3 X: -0.0 Y: -0.3 Z: 2.4 X: -0.3 Y: 3.1 Z: 537.0 20:11:32 (CET)
71 Collision with environment 22.6 X: -0.7 Y: -0.3 Z: 2.3 X: 0.2 Y: 3.1 Z: 537.5 20:11:37 (CET)
72 Collision with environment 25.5 X: 0.9 Y: -0.4 Z: 2.2 X: -716.3 Y: 3.7 Z: -450.2 20:11:58 (CET)
73 Collision with environment 21.3 X: 0.8 Y: -0.0 Z: -2.4 X: 622.0 Y: 3.4 Z: 823.9 20:15:45 (CET)
74 Collision with environment 2.8 X: -0.9 Y: -0.3 Z: -1.9 X: -553.5 Y: 3.1 Z: -134.2 20:16:02 (CET)
75 Collision with environment 7.7 X: 0.9 Y: -0.4 Z: 2.2 X: 286.1 Y: 2.9 Z: 752.1 20:18:08 (CET)
76 Collision with environment 32.5 X: -0.3 Y: -0.4 Z: 2.4 X: -182.2 Y: 3.1 Z: -830.7 20:19:05 (CET)
77 Collision with environment 9.3 X: -0.0 Y: -0.4 Z: 2.3 X: 87.0 Y: 3.7 Z: -413.5 20:20:04 (CET)
78 Collision with environment 55.4 X: -0.9 Y: -0.4 Z: 2.2 X: -656.8 Y: 2.9 Z: -411.7 20:20:43 (CET)
79 Collision with environment 11.7 X: 1.0 Y: -0.3 Z: -1.0 X: 156.1 Y: 2.7 Z: 733.4 20:21:42 (CET)
80 Collision with environment 68.5 X: 0.1 Y: -0.4 Z: 2.4 X: 636.4 Y: 3.2 Z: 817.0 20:22:10 (CET)
81 Collision with environment 53.1 X: -0.9 Y: -0.3 Z: 2.2 X: -359.5 Y: 3.2 Z: 58.3 20:23:47 (CET)
82 Collision with environment 40.0 X: -0.9 Y: -0.3 Z: -1.9 X: -359.7 Y: 3.4 Z: 58.1 20:23:52 (CET)
83 Collision with environment 47.4 X: -0.9 Y: -0.3 Z: -1.8 X: -478.0 Y: 3.5 Z: -752.3 20:27:09 (CET)
84 Collision with environment 86.1 X: -0.7 Y: -0.4 Z: 2.3 X: 306.6 Y: 3.0 Z: 737.1 20:27:40 (CET)
85 Collision with environment 47.2 X: -0.7 Y: -0.3 Z: 2.3 X: 667.4 Y: 3.3 Z: 805.1 20:27:52 (CET)
86 Collision with environment 43.1 X: 1.0 Y: -0.3 Z: 1.8 X: -607.2 Y: 3.4 Z: -572.3 20:29:44 (CET)
87 Collision with environment 52.0 X: 0.9 Y: -0.3 Z: 2.2 X: -606.0 Y: 3.3 Z: -546.9 20:30:39 (CET)
88 Collision with environment 5.7 X: -0.9 Y: -0.3 Z: 2.2 X: 5.3 Y: 3.1 Z: 542.4 20:31:14 (CET)
89 Collision with environment 59.5 X: -0.7 Y: -0.4 Z: 2.3 X: -177.1 Y: 3.1 Z: -828.3 20:33:25 (CET)
90 Collision with environment 62.2 X: 0.7 Y: -0.4 Z: 2.3 X: -606.2 Y: 3.3 Z: -550.0 20:35:39 (CET)
91 Collision with environment 30.1 X: -0.9 Y: -0.3 Z: 2.2 X: -675.0 Y: 2.8 Z: -406.6 20:35:44 (CET)
92 Collision with environment 12.2 X: 0.0 Y: -0.4 Z: 2.4 X: -681.7 Y: 2.6 Z: -403.9 20:40:21 (CET)
93 Collision with environment 51.7 X: -0.9 Y: 0.1 Z: 1.7 X: -417.6 Y: 3.5 Z: -0.9 20:41:39 (CET)
94 Collision with environment 33.6 X: 0.9 Y: -0.4 Z: 2.2 X: -298.6 Y: 3.0 Z: -852.5 20:43:24 (CET)
95 Collision with environment 34.5 X: 0.8 Y: -0.0 Z: -2.4 X: 63.5 Y: 4.2 Z: -394.8 20:47:31 (CET)
96 Collision with environment 4.7 X: 0.9 Y: -0.4 Z: 2.2 X: 73.3 Y: 3.7 Z: -408.3 20:47:36 (CET)
97 Collision with environment 33.4 X: -0.9 Y: -0.4 Z: 2.2 X: -652.1 Y: 2.9 Z: -413.3 20:52:41 (CET)
98 Collision with environment 37.1 X: -0.7 Y: -0.4 Z: 2.3 X: 664.4 Y: 3.2 Z: 806.4 20:53:30 (CET)
99 Collision with environment 15.4 X: 0.9 Y: -0.4 Z: -1.9 X: 157.8 Y: 2.6 Z: 735.1 21:05:05 (CET)
100 Collision with environment 52.3 X: 0.9 Y: -0.4 Z: 2.2 X: 59.9 Y: 3.7 Z: -389.8 21:06:05 (CET)
101 Collision with environment 34.4 X: 0.9 Y: -0.4 Z: 2.2 X: 59.8 Y: 3.7 Z: -389.8 21:06:10 (CET)
102 Collision with environment 28.5 X: -0.9 Y: -0.4 Z: 2.2 X: 635.3 Y: 3.1 Z: 817.5 21:09:17 (CET)
103 Collision with environment 7.1 X: -1.0 Y: -0.3 Z: 1.8 X: 33.4 Y: 3.4 Z: -314.9 21:17:29 (CET)
104 Collision with environment 29.9 X: -1.0 Y: -0.3 Z: 1.8 X: -408.2 Y: 3.2 Z: 6.8 21:22:19 (CET)
105 Collision with environment 35.3 X: 0.9 Y: -0.3 Z: 2.2 X: -484.4 Y: 3.1 Z: -38.0 21:22:24 (CET)
106 Collision with environment 26.3 X: -0.9 Y: -0.3 Z: -1.9 X: 47.1 Y: 3.5 Z: -368.2 21:37:49 (CET)
107 Collision with environment 70.0 X: -0.7 Y: -0.3 Z: 2.3 X: 48.6 Y: 3.6 Z: -371.2 22:05:25 (CET)
108 Collision with environment 27.6 X: 0.9 Y: -0.1 Z: -1.3 X: -607.0 Y: 3.6 Z: -567.3 22:15:10 (CET)
109 Collision with environment 142.5 X: -0.9 Y: -0.4 Z: 2.1 X: -415.4 Y: 2.9 Z: 0.9 22:28:55 (CET)
110 Collision with environment 33.6 X: -0.9 Y: -0.4 Z: -1.9 X: -91.9 Y: 3.1 Z: -812.7 22:30:00 (CET)
111 Collision with environment 30.8 X: -0.9 Y: 0.1 Z: -1.8 X: -91.5 Y: 3.6 Z: -812.6 22:30:05 (CET)
112 Collision with environment 17.3 X: -0.8 Y: -0.0 Z: -2.4 X: -130.6 Y: 3.6 Z: -814.5 22:31:50 (CET)
113 Collision with environment 6.9 X: -1.0 Y: -0.4 Z: 0.2 X: 30.6 Y: 3.3 Z: -297.8 22:34:55 (CET)
114 Collision with environment 47.5 X: -1.0 Y: -0.3 Z: 1.8 X: 116.9 Y: 2.7 Z: 670.9 22:36:15 (CET)
115 Collision with environment 12.2 X: 1.0 Y: -0.4 Z: 1.8 X: 154.8 Y: 2.7 Z: 732.1 22:41:00 (CET)
116 Collision with environment 29.3 X: 1.0 Y: -0.3 Z: 1.8 X: -606.8 Y: 3.3 Z: -562.7 22:49:05 (CET)
Car Env Rel
SRV Melbourne Layout GP (3xDRS) SRV Melbourne Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Pascal Hein in STM BMW M4 2022
Best: 01:45.509, Potential: 01:45.490
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:18.171 03:03.453 00:28.066 00:46.652 1 M
2 01:46.227 00:33.542 00:26.344 00:46.341 0 M
3 01:46.397 00:33.750 00:26.414 00:46.233 0 M
4 01:45.878
C
00:33.469 00:26.388 00:46.021 1 M
5 01:46.221 00:33.635 00:26.321 00:46.265 0 M
6 02:31.685 01:18.120 00:27.148 00:46.417 0 M
7 01:46.590 00:33.694 00:26.411 00:46.485 0 M
8 01:45.835 00:33.538 00:26.258 00:46.039 0 M
9 02:33.230 01:19.881 00:26.982 00:46.367 0 M
10 01:46.005 00:33.496 00:26.320 00:46.189 0 M
11 02:38.274 01:23.898 00:27.314 00:47.062 0 M
12 01:46.011 00:33.461 00:26.389 00:46.161 0 M
13 01:46.312 00:33.583 00:26.383 00:46.346 0 M
14 01:46.043 00:33.495 00:26.311 00:46.237 0 M
15 01:45.509
L
L
00:33.447 00:26.189
S
S
00:45.873
S
S
0 M
16 01:45.964 00:33.447 00:26.356 00:46.161 0 M
17 36:26.196 35:12.944 00:27.000 00:46.252 0 M
18 01:48.472 00:33.794 00:27.928 00:46.750 0 M
19 01:46.381 00:33.567 00:26.455 00:46.359 0 M
20 01:45.760 00:33.445 00:26.307 00:46.008 0 M
21 01:46.111 00:33.616 00:26.320 00:46.175 0 M
22 01:46.242 00:33.629 00:26.366 00:46.247 0 M
23 01:46.231 00:33.511 00:26.266 00:46.454 0 M
24 01:52.006
C
00:33.697 00:31.234 00:47.075 1 M
25 02:27.286 01:13.959 00:26.752 00:46.575 1 M
26 01:45.773 00:33.522 00:26.320 00:45.931 0 M
27 01:45.753 00:33.428
S
00:26.415 00:45.910 0 M
28 01:45.588
C
00:33.358 00:26.298 00:45.932 1 M
29 04:06.119 02:52.009 00:27.261 00:46.849 1 M
30 01:46.832
C
00:33.883 00:26.590 00:46.359 1 M
31 01:47.427
C
00:34.095 00:26.468 00:46.864 1 M
32 02:25.363 01:10.992 00:27.792 00:46.579 0 M
33 02:52.454 01:38.529 00:27.013 00:46.912 0 M
34 01:46.612 00:33.640 00:26.298 00:46.674 0 M
35 01:46.471 00:33.746 00:26.469 00:46.256 0 M
36 01:46.313 00:33.666 00:26.369 00:46.278 0 M
37 01:46.068
C
00:33.500 00:26.271 00:46.297 1 M
38 01:46.226
C
00:33.677 00:26.290 00:46.259 1 M
2nd Jean Ora in STM BMW M4 2022
Best: 01:45.701, Potential: 01:45.701
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:42.681 01:25.298 00:28.508 00:48.875 1 M
2 01:47.748 00:34.110 00:26.810 00:46.828 0 M
3 01:47.406
C
00:34.217 00:26.681 00:46.508 1 M
4 01:46.204
C
00:33.704 00:26.343 00:46.157 1 M
5 01:47.119 00:33.674 00:26.811 00:46.634 0 M
6 04:41.796 03:27.105 00:28.219 00:46.472 0 S
7 01:46.254 00:33.376 00:26.501 00:46.377 0 S
8 01:47.343 00:33.822 00:26.554 00:46.967 0 S
9 01:48.549 00:35.037 00:26.694 00:46.818 0 S
10 01:46.600
C
00:33.565 00:26.680 00:46.355 1 S
11 01:45.701
L
00:33.350
S
S
00:26.339
S
00:46.012
S
0 S
12 04:54.019 03:38.811 00:28.079 00:47.129 0 M
13 01:47.290 00:33.931 00:26.541 00:46.818 0 M
14 01:47.718 00:33.989 00:27.077 00:46.652 0 M
15 01:46.748
C
00:33.934 00:26.649 00:46.165 1 M
16 01:46.333 00:33.581 00:26.559 00:46.193 0 M
17 01:46.764 00:33.468 00:26.630 00:46.666 0 M
18 01:46.505
C
00:33.524 00:26.699 00:46.282 1 M
19 01:46.859 00:33.559 00:26.757 00:46.543 0 M
20 01:46.868
C
00:33.690 00:26.666 00:46.512 1 M
21 01:47.382 00:33.725 00:26.744 00:46.913 0 M
22 01:49.079
C
00:34.146 00:27.242 00:47.691 1 M
23 02:22.922 00:35.269 00:26.825 01:20.828 1 M
24 01:56.768
C
00:41.016 00:28.610 00:47.142 1 M
25 01:47.805 00:34.382 00:26.820 00:46.603 0 M
3rd Tim Quoos in STM Audi RS5 2022
Best: 01:45.980, Potential: 01:45.893
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:27.061 01:04.158 00:27.787 00:55.116 1 M
2 01:48.194 00:33.998 00:26.901 00:47.295 0 M
3 01:46.504 00:33.590 00:26.379 00:46.535 0 M
4 01:46.773 00:33.598 00:26.366 00:46.809 0 M
5 03:00.355 01:45.988 00:27.346 00:47.021 0 M
6 01:46.799 00:34.084 00:26.482 00:46.233 0 M
7 01:47.562 00:33.762 00:26.653 00:47.147 0 M
8 01:46.384 00:33.623 00:26.591 00:46.170 0 M
9 01:45.980
L
00:33.445
S
00:26.384 00:46.151
S
0 M
10 02:05.750 00:33.653 00:26.505 01:05.592 0 M
11 03:59.412 02:45.116 00:27.239 00:47.057 0 M
12 01:47.014
C
00:34.069 00:26.460 00:46.485 1 M
13 04:03.537 02:49.502 00:27.019 00:47.016 0 M
14 01:46.830
C
00:33.844 00:26.690 00:46.296 1 M
15 01:46.744
C
00:33.862 00:26.577 00:46.305 1 M
16 01:49.436 00:33.719 00:28.634 00:47.083 0 M
17 01:47.147 00:33.833 00:26.352 00:46.962 0 M
18 01:46.324 00:33.627 00:26.297
S
00:46.400 0 M
19 01:47.402 00:33.503 00:27.127 00:46.772 0 M
20 01:46.508 00:33.766 00:26.356 00:46.386 0 M
4th Stefan Herler in STM Audi RS5 2022
Best: 01:46.176, Potential: 01:46.010
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:38.599 01:24.286 00:27.563 00:46.750 1 M
2 01:46.588 00:33.738 00:26.424 00:46.426 0 M
3 03:03.722 01:49.045 00:27.131 00:47.546 0 M
4 01:46.724 00:33.717 00:26.572 00:46.435 0 M
5 01:46.184 00:33.550 00:26.366
S
00:46.268 0 M
6 01:46.176
L
00:33.527
S
00:26.532 00:46.117
S
0 M
7 01:46.735 00:33.682 00:26.663 00:46.390 0 M
8 02:54.862 01:40.499 00:27.468 00:46.895 1 M
9 01:47.250 00:34.178 00:26.550 00:46.522 0 M
10 01:47.869 00:34.411 00:26.991 00:46.467 0 M
11 01:46.759 00:33.841 00:26.501 00:46.417 0 M
12 01:46.372
C
00:33.729 00:26.414 00:46.229 1 M
13 01:46.763
C
00:33.954 00:26.581 00:46.228 1 M
14 01:46.922 00:33.771 00:26.693 00:46.458 0 M
15 04:24.724 03:11.027 00:27.073 00:46.624 0 M
16 01:47.151
C
00:33.756 00:26.905 00:46.490 1 M
17 01:46.343
C
00:33.749 00:26.452 00:46.142 1 M
18 01:46.409 00:33.672 00:26.383 00:46.354 0 M
19 04:16.624 03:02.513 00:27.230 00:46.881 0 M
5th Andreas Braun in STM Mercedes C63 2022
Best: 01:46.452, Potential: 01:46.441
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:46.510
C
01:30.456 00:28.507 00:47.547 1 S
2 04:34.105 03:16.448 00:30.331 00:47.326 0 S
3 03:54.914 02:39.778 00:27.792 00:47.344 0 S
4 01:48.781
C
00:34.666 00:26.951 00:47.164 1 S
5 01:47.105 00:34.061 00:26.668 00:46.376 0 S
6 01:47.157 00:33.960 00:26.721 00:46.476 0 S
7 01:46.452
L
00:33.732 00:26.397
S
00:46.323
S
0 S
8 03:54.629 02:37.932 00:28.570 00:48.127 0 S
9 01:49.915
C
00:34.392 00:27.450 00:48.073 1 S
10 04:20.637 03:04.839 00:28.340 00:47.458 0 S
11 05:00.591 03:44.864 00:27.833 00:47.894 0 S
12 04:03.504 02:48.313 00:27.716 00:47.475 0 S
13 01:47.811 00:33.876 00:26.847 00:47.088 0 S
14 03:59.246 02:43.628 00:28.134 00:47.484 0 S
15 01:47.215
C
00:33.788 00:26.731 00:46.696 1 S
16 01:48.059
C
00:33.760 00:26.469 00:47.830 1 S
17 01:47.030 00:33.743 00:26.659 00:46.628 0 S
18 01:46.842 00:33.838 00:26.554 00:46.450 0 S
19 03:42.354 02:23.153 00:29.786 00:49.415 0 S
20 01:48.189
C
00:34.636 00:26.816 00:46.737 1 S
21 01:46.901 00:33.736 00:26.631 00:46.534 0 S
22 03:06.410 01:49.191 00:28.431 00:48.788 0 S
23 01:47.098 00:33.721
S
00:26.644 00:46.733 0 S
24 02:37.240 01:18.216 00:28.700 00:50.324 0 S
6th Fred Dohnke in STM Mercedes C63 2022
Best: 01:46.992, Potential: 01:46.932
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:27.260 03:03.425 00:32.873 00:50.962 1 M
2 01:50.145 00:34.697 00:27.162 00:48.286 0 M
3 01:47.928 00:34.290 00:26.919 00:46.719 0 M
4 03:52.488 02:31.001 00:28.413 00:53.074 0 M
5 01:48.764
C
00:34.825 00:26.942 00:46.997 1 M
6 01:47.458 00:33.613
S
00:26.829 00:47.016 0 M
7 01:47.232 00:33.787 00:26.631
S
00:46.814 0 M
8 01:46.992
L
00:33.655 00:26.649 00:46.688
S
0 M
7th Philipp Krauslach in STM Mercedes C63 2022
Best: 01:47.948, Potential: 01:47.533
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:00.865 01:44.756 00:28.639 00:47.470 1 S
2 01:48.258 00:33.953
S
00:27.424 00:46.881 0 S
3 01:49.062 00:34.047 00:27.693 00:47.322 0 S
4 02:13.928 00:36.405 00:49.005 00:48.518 0 S
5 01:50.365 00:34.509 00:27.261 00:48.595 0 S
6 01:48.748
C
00:34.476 00:27.377 00:46.895 1 S
7 01:48.375 00:34.295 00:27.032 00:47.048 0 S
8 01:48.765 00:34.380 00:27.148 00:47.237 0 S
9 04:47.604 03:30.725 00:27.873 00:49.006 0 M
10 01:49.930 00:35.018 00:27.109 00:47.803 0 M
11 03:53.668 02:37.987 00:27.751 00:47.930 0 M
12 01:49.337 00:34.507 00:27.184 00:47.646 0 M
13 01:49.640 00:35.035 00:26.928 00:47.677 0 M
14 02:01.224 00:34.517 00:38.754 00:47.953 0 M
15 01:50.501 00:35.666 00:27.162 00:47.673 0 M
16 01:49.074 00:35.053 00:27.212 00:46.809
S
0 M
17 01:48.837 00:34.776 00:27.116 00:46.945 0 M
18 01:49.084 00:34.298 00:26.888 00:47.898 0 M
19 04:05.849 02:50.367 00:27.594 00:47.888 0 M
20 01:48.038
C
00:34.086 00:27.099 00:46.853 1 M
21 01:48.160 00:34.360 00:26.928 00:46.872 0 M
22 01:49.778 00:34.660 00:26.896 00:48.222 0 M
23 01:48.551 00:34.414 00:27.207 00:46.930 0 M
24 01:47.948
L
00:34.103 00:26.771
S
00:47.074 0 M
8th Michael Weimer in STM Audi RS5 2022
Best: 01:48.026, Potential: 01:47.606
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:37.604 01:20.519 00:28.575 00:48.510 1 M
2 04:05.226 02:49.760 00:28.089 00:47.377 0 M
3 01:51.217 00:34.766 00:28.161 00:48.290 0 M
4 01:50.602 00:34.579 00:28.031 00:47.992 0 M
5 01:49.266 00:34.440 00:26.963 00:47.863 0 M
6 01:48.994 00:34.551 00:27.368 00:47.075 0 M
7 04:57.685 03:41.190 00:28.341 00:48.154 0 M
8 01:49.248
C
00:34.930 00:27.337 00:46.981 1 M
9 01:48.026
L
00:34.078 00:26.734
S
00:47.214 0 M
10 03:56.423 02:39.703 00:27.729 00:48.991 0 M
11 01:49.001
C
00:34.274 00:27.288 00:47.439 1 M
12 02:58.581 01:44.114 00:27.486 00:46.981 0 M
13 03:05.057 01:50.214 00:27.198 00:47.645 0 M
14 01:48.812 00:33.964
S
00:27.072 00:47.776 0 M
15 02:47.294 01:32.352 00:28.034 00:46.908
S
0 M
16 04:49.451 03:34.715 00:27.446 00:47.290 0 M
9th Lars Borkowski in STM Mercedes C63 2022
Best: 01:48.379, Potential: 01:48.245
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:36.039 01:17.972 00:28.639 00:49.428 1 M
2 01:50.772 00:34.969 00:27.923 00:47.880 0 M
3 01:49.322 00:34.452 00:27.269 00:47.601 0 M
4 01:48.601 00:34.293 00:26.896 00:47.412 0 M
5 01:49.963 00:34.543 00:27.743 00:47.677 0 M
6 01:50.354 00:35.245 00:27.338 00:47.771 1 M
7 01:48.925 00:34.333 00:27.018 00:47.574 0 M
8 01:48.482 00:34.345 00:26.780 00:47.357 0 M
9 10:13.249 08:56.601 00:28.143 00:48.505 0 M
10 01:49.644 00:34.493 00:27.509 00:47.642 0 M
11 01:48.418 00:34.263 00:26.864 00:47.291
S
0 M
12 01:48.379
L
00:34.219
S
00:26.735
S
00:47.425 0 M
13 08:38.973 07:22.572 00:28.250 00:48.151 0 M
14 01:48.638 00:34.334 00:26.965 00:47.339 0 M
15 01:50.478 00:34.594 00:27.301 00:48.583 0 M
10th Eileen Weimer in STM Audi RS5 2022
Best: 01:48.747, Potential: 01:48.480
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:13.342 02:57.445 00:27.648 00:48.249 1 M
2 01:49.976 00:34.853 00:27.361 00:47.762 0 M
3 01:49.294 00:34.221
S
00:27.341 00:47.732 0 M
4 02:03.521 00:36.995 00:38.606 00:47.920 0 M
5 01:51.323 00:34.558 00:27.310 00:49.455 0 M
6 03:20.536 01:31.474 01:00.444 00:48.618 0 M
7 03:21.250 02:05.843 00:27.698 00:47.709 0 M
8 01:50.831 00:34.520 00:28.927 00:47.384
S
0 M
9 01:49.614 00:34.882 00:27.009 00:47.723 0 M
10 01:49.804
C
00:34.425 00:26.928 00:48.451 1 M
11 01:48.924 00:34.557 00:26.981 00:47.386 0 M
12 03:52.479 02:37.162 00:27.617 00:47.700 0 M
13 01:49.588
C
00:34.303 00:27.815 00:47.470 1 M
14 02:33.266 01:17.239 00:27.850 00:48.177 0 M
15 01:51.054
C
00:36.029 00:27.329 00:47.696 1 M
16 01:48.747
L
00:34.433 00:26.875
S
00:47.439 0 M
17 01:52.769 00:35.234 00:29.921 00:47.614 0 M
18 03:31.358 02:15.578 00:27.509 00:48.271 0 M
19 03:21.585 02:05.805 00:27.603 00:48.177 0 M
20 01:51.892
C
00:35.064 00:28.124 00:48.704 1 M
11th Thomas Kneissler in STM Audi RS5 2022
Best: 01:49.174, Potential: 01:49.084
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 26:37.324 25:16.490 00:28.931 00:51.903 3 M
2 01:54.076 00:36.123 00:28.354 00:49.599 0 M
3 04:35.288 00:35.740 00:27.963 03:31.585 0 M
4 09:24.042 08:01.660 00:30.155 00:52.227 0 S
5 01:52.981
C
00:35.734 00:27.851 00:49.396 1 S
6 01:53.896
C
00:35.394 00:29.052 00:49.450 1 S
7 01:51.601
C
00:35.304 00:27.913 00:48.384 1 S
8 01:55.584 00:35.848 00:27.616 00:52.120 0 S
9 01:51.878 00:35.747 00:27.487 00:48.644 0 S
10 01:51.144 00:35.391 00:27.521 00:48.232 0 S
11 01:52.931 00:35.343 00:27.751 00:49.837 0 S
12 01:50.540 00:34.734 00:27.508 00:48.298 0 S
13 01:51.274
C
00:35.354 00:27.509 00:48.411 1 S
14 04:11.907 02:39.332 00:39.547 00:53.028 0 S
15 01:49.692 00:34.659 00:27.382 00:47.651 0 S
16 01:49.565 00:34.370
S
00:27.239 00:47.956 0 S
17 06:55.096 05:31.598 00:29.520 00:53.978 0 S
18 01:51.966
C
00:34.656 00:28.781 00:48.529 1 S
19 03:07.591 01:49.844 00:28.629 00:49.118 0 M
20 01:54.476 00:37.090 00:28.147 00:49.239 0 M
21 01:55.382
C
00:35.355 00:29.178 00:50.849 1 M
22 01:54.806
C
00:35.724 00:29.430 00:49.652 1 M
23 01:53.308 00:35.939 00:27.914 00:49.455 0 M
24 01:54.900 00:35.839 00:28.103 00:50.958 0 M
25 01:53.400 00:35.405 00:29.025 00:48.970 0 M
26 01:52.985 00:35.369 00:27.946 00:49.670 0 M
27 02:47.478 01:26.774 00:30.187 00:50.517 1 S
28 01:51.892
C
00:35.271 00:27.863 00:48.758 1 S
29 01:53.329
C
00:34.764 00:28.354 00:50.211 1 S
30 04:26.927 03:07.665 00:29.326 00:49.936 0 S
31 01:50.266
C
00:34.603 00:27.468 00:48.195 1 S
32 01:49.932 00:34.826 00:27.316 00:47.790 0 S
33 01:49.574 00:34.667 00:27.271 00:47.636 0 S
34 02:56.052 01:32.032 00:32.845 00:51.175 0 S
35 01:49.989 00:34.712 00:27.351 00:47.926 0 S
36 03:19.989 02:01.473 00:29.745 00:48.771 0 S
37 01:49.174
L
00:34.460 00:27.208
S
00:47.506
S
0 S
12th Michael Rasch in STM BMW M4 2022
Best: 01:49.747, Potential: 01:49.747
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:08.576 02:46.722 00:31.815 00:50.039 1 M
2 01:52.557
C
00:36.007 00:28.161 00:48.389 1 M
3 01:53.143
C
00:34.888 00:27.418 00:50.837 1 M
4 01:53.396
C
00:34.862 00:28.787 00:49.747 1 M
5 01:51.738 00:34.887 00:27.972 00:48.879 0 M
6 01:51.658 00:34.830 00:27.701 00:49.127 0 M
7 01:50.579 00:34.669 00:27.540 00:48.370 0 M
8 07:10.014 05:53.617 00:27.779 00:48.618 0 M
9 01:50.700 00:35.091 00:27.351 00:48.258 0 M
10 01:51.262 00:34.749 00:28.368 00:48.145 0 M
11 01:49.747
L
00:34.602
S
00:27.269
S
00:47.876
S
0 M
12 01:49.743
C
00:34.673 00:27.108 00:47.962 1 M
13 02:09.541 00:53.356 00:27.607 00:48.578 0 M
14 01:52.866
C
00:34.606 00:27.806 00:50.454 1 M
15 03:38.061 02:20.778 00:28.115 00:49.168 0 M
16 06:19.484 05:03.255 00:28.295 00:47.934 0 S
17 01:51.792 00:35.454 00:27.467 00:48.871 0 S
18 06:44.892 05:10.180 00:28.570 01:06.142 0 M
19 01:58.016 00:40.877 00:28.283 00:48.856 0 M
20 01:52.052 00:35.917 00:27.616 00:48.519 0 M
21 01:51.301 00:34.805 00:27.414 00:49.082 0 M
22 04:23.674 03:06.836 00:27.946 00:48.892 0 M
23 01:54.584 00:37.914 00:27.827 00:48.843 0 M
13th Benedikt Hoepfer in STM BMW M4 2022
Best: 01:50.700, Potential: 01:50.183
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:42.460
C
01:23.314 00:28.809 00:50.337 1 M
2 02:56.343
C
01:36.598 00:29.615 00:50.130 1 M
3 05:52.615 04:31.012 00:31.568 00:50.035 0 M
4 01:56.398 00:37.887 00:28.341 00:50.170 0 M
5 06:16.898 04:57.946 00:28.832 00:50.120 0 M
6 04:15.117 02:56.686 00:28.530 00:49.901 0 M
7 01:54.533
C
00:36.207 00:28.233 00:50.093 1 M
8 01:53.330 00:35.993 00:28.081 00:49.256 0 M
9 02:51.965 01:31.469 00:29.844 00:50.652 0 M
10 01:58.726 00:39.665 00:28.116 00:50.945 0 M
11 02:51.347 01:33.525 00:28.125 00:49.697 0 S
12 04:05.378 02:46.484 00:28.441 00:50.453 0 S
13 02:22.459
C
00:35.296 00:56.722 00:50.441 1 S
14 05:08.584 03:14.937 00:28.525 01:25.122 0 M
15 06:52.043 05:33.312 00:28.925 00:49.806 0 M
16 03:22.017 02:02.709 00:29.843 00:49.465 0 M
17 01:52.500 00:35.892 00:27.589 00:49.019 0 M
18 01:52.958 00:35.518 00:27.580 00:49.860 0 M
19 04:50.392 03:32.951 00:28.243 00:49.198 0 M
20 01:50.850 00:34.907
S
00:27.702 00:48.241 0 M
21 03:49.297 02:31.695 00:28.885 00:48.717 0 M
22 01:51.830 00:34.939 00:28.750 00:48.141
S
0 M
23 02:59.778 01:42.720 00:28.026 00:49.032 0 M
24 01:50.700
L
00:35.037 00:27.310 00:48.353 0 M
25 03:04.416 01:46.120 00:28.742 00:49.554 1 M
26 01:56.158
C
00:35.342 00:27.127 00:53.689 1 M
27 01:51.061 00:35.231 00:27.135
S
00:48.695 0 M
14th Uemit Zobu in STM BMW M4 2022
Best: 01:51.115, Potential: 01:50.318
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:13.758 04:49.238 00:32.833 00:51.687 1 M
2 02:09.779 00:38.340 00:36.661 00:54.778 0 M
3 01:55.905 00:37.717 00:28.453 00:49.735 0 M
4 02:01.410 00:36.445 00:27.805 00:57.160 0 M
5 01:52.752 00:35.568 00:27.828 00:49.356 0 M
6 01:56.325 00:35.833 00:31.041 00:49.451 0 M
7 05:13.627 03:56.479 00:27.922 00:49.226 0 M
8 01:52.371 00:35.628 00:27.643 00:49.100 0 M
9 01:53.395 00:36.711 00:28.242 00:48.442 0 M
10 01:51.115
L
00:35.339 00:27.334
S
00:48.442 0 M
11 01:52.019 00:35.339 00:28.674 00:48.006
S
0 M
12 01:52.044 00:35.377 00:27.958 00:48.709 0 M
13 01:51.370 00:34.978
S
00:28.147 00:48.245 0 M
15th Daniel Amann in STM BMW M4 2022
Best: 01:53.891, Potential: 01:53.457
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 17:17.827 15:06.224 00:48.222 01:23.381 1 S
2 02:05.843
C
00:40.677 00:30.807 00:54.359 1 S
3 02:07.352 00:39.049 00:34.376 00:53.927 0 S
4 02:00.130 00:38.505 00:28.746 00:52.879 0 S
5 02:02.982 00:37.684 00:28.588 00:56.710 0 S
6 03:51.110 02:29.611 00:29.097 00:52.402 0 S
7 04:25.570 03:03.031 00:30.551 00:51.988 0 S
8 01:58.580
C
00:38.777 00:28.413 00:51.390 1 S
9 01:57.713 00:38.189 00:27.995 00:51.529 0 S
10 18:55.105 17:25.335 00:30.060 00:59.710 0 S
11 02:10.321 00:46.257 00:29.979 00:54.085 0 S
12 02:07.819 00:38.309 00:28.733 01:00.777 0 S
13 03:39.763 02:05.808 00:34.690 00:59.265 1 S
14 02:01.802
C
00:39.713 00:30.961 00:51.128 1 S
15 02:21.383 00:37.195 00:28.359 01:15.829 0 S
16 01:56.143 00:37.528 00:28.309 00:50.306 0 S
17 06:38.534 05:18.840 00:29.097 00:50.597 0 S
18 01:55.171
C
00:37.006 00:28.318 00:49.847 1 S
19 04:34.812 03:06.499 00:30.856 00:57.457 0 S
20 04:19.190 02:54.339 00:31.472 00:53.379 0 S
21 02:01.368 00:41.834 00:28.584 00:50.950 0 S
22 01:55.231 00:36.085 00:28.453 00:50.693 0 S
23 01:58.158 00:35.870 00:28.306 00:53.982 0 S
24 02:08.852 00:35.833
S
00:27.765
S
01:05.254 0 S
25 01:57.781
C
00:36.826 00:29.061 00:51.894 1 S
26 04:08.874 02:25.517 00:33.656 01:09.701 0 S
27 01:56.896 00:37.196 00:28.477 00:51.223 0 S
28 01:54.886 00:36.100 00:27.895 00:50.891 0 S
29 02:03.720 00:37.626 00:28.790 00:57.304 0 S
30 02:11.634 00:36.661 00:27.788 01:07.185 0 S
31 04:25.239 03:01.646 00:32.887 00:50.706 0 S
32 02:55.369 01:30.814 00:30.046 00:54.509 0 S
33 01:53.891
L
00:36.145 00:27.887 00:49.859
S
0 S
34 02:05.292
C
00:35.908 00:29.795 00:59.589 1 S
35 01:54.974 00:36.576 00:28.457 00:49.941 0 S
16th Dieter Suessenguth in STM Mercedes C63 2022
Best: 01:54.919, Potential: 01:54.833
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:38.694 01:15.286 00:29.299 00:54.109 1 M
2 01:58.727 00:38.614 00:29.615 00:50.498 0 M
3 05:13.158 03:52.216 00:30.910 00:50.032 0 M
4 01:57.243 00:38.025 00:28.790
S
00:50.428 0 M
5 01:56.657 00:37.710 00:28.953 00:49.994 0 M
6 01:59.883 00:36.867 00:29.636 00:53.380 0 M
7 01:59.321 00:40.500 00:29.321 00:49.500
S
0 M
8 01:54.919
L
00:36.543
S
00:28.836 00:49.540 0 M
17th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:58.189, Potential: 01:56.787
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 10:25.798 08:52.288 00:33.358 01:00.152 1 S
2 02:09.155 00:41.108 00:34.236 00:53.811 0 S
3 02:02.646 00:39.062 00:30.078 00:53.506 0 S
4 04:39.779 03:06.805 00:31.595 01:01.379 1 S
5 02:31.572 00:52.364 00:41.599 00:57.609 0 S
6 02:15.872 00:49.895 00:31.906 00:54.071 0 S
7 02:01.120 00:38.873 00:30.191 00:52.056 0 S
8 02:07.715 00:38.485 00:35.613 00:53.617 0 S
9 02:06.335 00:39.238 00:30.100 00:56.997 0 S
10 02:03.042 00:40.214 00:30.839 00:51.989 0 S
11 02:20.939 00:38.600 00:32.941 01:09.398 0 S
12 02:12.262 00:40.071 00:33.182 00:59.009 0 S
13 02:06.375 00:42.463 00:31.108 00:52.804 0 S
14 03:31.081 02:00.671 00:34.174 00:56.236 0 S
15 04:00.702 02:35.422 00:31.630 00:53.650 0 S
16 02:06.774 00:42.137 00:31.073 00:53.564 0 S
17 02:09.914 00:39.573 00:35.887 00:54.454 0 S
18 02:01.116 00:38.595 00:29.934 00:52.587 0 S
19 02:01.068 00:38.497 00:30.920 00:51.651 0 S
20 01:58.984 00:37.233 00:29.632 00:52.119 0 S
21 02:15.492 00:40.420 00:34.105 01:00.967 1 S
22 06:34.115 05:06.986 00:32.778 00:54.351 1 S
23 02:03.586 00:39.769 00:30.361 00:53.456 0 S
24 02:03.558 00:39.911 00:30.290 00:53.357 0 S
25 02:07.917 00:39.073 00:31.248 00:57.596 0 S
26 04:45.944 03:12.034 00:36.522 00:57.388 1 S
27 02:14.332 00:42.829 00:35.698 00:55.805 0 S
28 02:07.328 00:41.297 00:31.982 00:54.049 0 S
29 02:04.396 00:40.570 00:30.704 00:53.122 0 S
30 02:07.221 00:40.249 00:32.548 00:54.424 0 S
31 02:08.762 00:43.037 00:31.105 00:54.620 0 S
32 02:06.745 00:40.727 00:31.510 00:54.508 0 S
33 01:59.201 00:37.963 00:29.606 00:51.632 0 S
34 05:17.189 03:46.434 00:35.023 00:55.732 0 S
35 02:00.940
C
00:38.117 00:30.960 00:51.863 1 S
36 02:06.653 00:41.050 00:30.222 00:55.381 0 S
37 03:12.741 01:44.032 00:33.772 00:54.937 1 S
38 02:04.155 00:41.462 00:30.582 00:52.111 0 S
39 02:03.093 00:38.803 00:30.528 00:53.762 0 S
40 02:02.453 00:38.573 00:31.482 00:52.398 0 S
41 02:00.760 00:37.289 00:32.068 00:51.403 0 S
42 01:58.189
L
00:37.374 00:30.005 00:50.810
S
0 S
43 01:59.696 00:37.855 00:30.020 00:51.821 0 S
44 02:02.420 00:37.055
S
00:31.978 00:53.387 0 S
45 02:00.738 00:37.789 00:28.922
S
00:54.027 0 S
46 03:05.019 01:29.672 00:40.375 00:54.972 1 S
47 02:02.166 00:38.911 00:30.776 00:52.479 0 S
48 01:59.299 00:38.132 00:29.979 00:51.188 0 S
49 02:00.232 00:38.332 00:30.550 00:51.350 0 S
50 02:00.029 00:37.225 00:31.288 00:51.516 0 S
51 02:03.415
C
00:37.721 00:32.729 00:52.965 1 S
52 02:01.830 00:37.877 00:31.114 00:52.839 0 S