Zolder Online

10 May 20 20:31 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 Car Best Practice Lap Average Lap Laps
1 Matthias Nausch BMW M3 E30 Gr.A 92 TWCD 01:41.856
Tyre: S 		01:42.544 7 laps / 4 cuts
2 marc7eleven BMW M3 E30 Gr.A 92 TWCD 01:44.087
Tyre: S 		01:45.155 32 laps / 49 cuts
3 Sebastian Grote BMW M3 E30 Gr.A 92 TWCD 01:44.286
Tyre: S 		01:44.913 9 laps / 12 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 marc7eleven Collision with environment 73.1 X: -0.8 Y: -0.3 Z: -0.5 X: 12.7 Y: 0.2 Z: 657.6 01:00:00 (CET)
2 marc7eleven Collision with environment 6.6 X: -0.7 Y: -0.1 Z: 1.9 X: 130.6 Y: 3.8 Z: 710.2 01:00:00 (CET)
3 marc7eleven Collision with environment 4.3 X: 0.7 Y: -0.1 Z: -2.3 X: 21.7 Y: 0.4 Z: 595.2 01:00:00 (CET)
4 marc7eleven Collision with environment 64.4 X: -0.7 Y: -0.1 Z: 1.9 X: 68.6 Y: 1.7 Z: 585.8 01:00:00 (CET)
5 marc7eleven Collision with environment 70.9 X: 0.0 Y: -0.1 Z: 2.0 X: 68.8 Y: 1.5 Z: 594.9 01:00:00 (CET)
6 marc7eleven Collision with environment 8.3 X: 0.5 Y: -0.3 Z: 1.9 X: 68.8 Y: 1.4 Z: 594.5 01:00:00 (CET)
7 marc7eleven Collision with environment 55.3 X: 0.7 Y: -0.1 Z: -2.3 X: -360.3 Y: -2.2 Z: 919.7 01:00:00 (CET)
8 marc7eleven Collision with environment 37.3 X: -0.8 Y: -0.4 Z: 1.5 X: -436.7 Y: -2.8 Z: 997.4 01:00:00 (CET)
9 Sebastian Grote Collision with environment 4.5 X: 0.9 Y: -0.0 Z: 1.6 X: -376.1 Y: -0.8 Z: 1061.3 01:00:00 (CET)
Car Env Rel
Zolder Online Zolder Online collisions

There were no penalties in this session.

1st Matthias Nausch in BMW M3 E30 Gr.A 92 TWCD
Best: 01:41.856, Potential: 01:41.636
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:08.528 01:57.433 00:36.693 00:34.402 0 S
2 01:41.856
L
L
00:32.938
S
S
00:34.776
S
S
00:34.142 0 S
3 01:42.609 00:33.164 00:35.523 00:33.922
S
0 S
4 03:18.296 02:07.525 00:36.247 00:34.524 2 M
5 01:42.580 00:33.280 00:35.465 00:33.835 2 M
6 01:43.132 00:32.986 00:36.068 00:34.078 0 M
7 01:42.579 00:33.121 00:35.473 00:33.985 0 M
2nd marc7eleven in BMW M3 E30 Gr.A 92 TWCD
Best: 01:44.087, Potential: 01:43.615
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:00.640 01:40.720 00:42.907 00:37.013 5 S
2 02:10.483 00:34.709 00:58.914 00:36.860 1 S
3 01:47.259 00:34.637 00:37.567 00:35.055 0 S
4 01:46.055 00:34.316 00:36.694 00:35.045 1 S
5 01:45.519 00:34.432 00:36.603 00:34.484 0 S
6 03:49.472 02:37.859 00:36.068 00:35.545 4 S
7 01:44.767 00:33.906 00:36.310 00:34.551 0 S
8 03:17.506 01:51.623 00:50.045 00:35.838 3 S
9 01:44.055
C
00:33.715 00:35.793 00:34.547 1 S
10 01:51.230 00:34.303 00:36.409 00:40.518 1 S
11 01:44.925
C
00:33.770 00:36.311 00:34.844 2 S
12 02:59.815 01:44.579 00:39.065 00:36.171 2 S
13 03:17.430 02:05.245 00:37.098 00:35.087 2 S
14 01:44.390 00:33.889 00:35.870
S
00:34.631 0 S
15 01:47.678 00:36.660 00:36.080 00:34.938 1 S
16 01:44.763
C
00:33.712 00:36.423 00:34.628 1 S
17 01:45.448 00:33.700 00:36.373 00:35.375 1 S
18 01:51.461 00:34.844 00:41.171 00:35.446 3 S
19 04:12.547 03:02.482 00:35.644 00:34.421 3 S
20 04:04.383 02:52.877 00:37.089 00:34.417 4 S
21 01:44.426 00:33.785 00:36.081 00:34.560 0 S
22 03:57.373 02:46.368 00:36.224 00:34.781 2 S
23 01:45.611 00:33.868 00:36.324 00:35.419 1 S
24 01:44.780 00:33.613 00:36.585 00:34.582 0 S
25 01:44.087
L
00:33.451
S
00:36.342 00:34.294
S
0 S
26 02:55.273 01:44.717 00:36.361 00:34.195 2 S
27 01:44.711
C
00:33.989 00:35.883 00:34.839 1 S
28 01:49.033 00:33.878 00:40.203 00:34.952 2 S
29 01:46.012 00:34.165 00:36.895 00:34.952 0 S
30 01:52.740 00:39.394 00:39.208 00:34.138 2 S
31 03:36.076 01:36.074 01:24.933 00:35.069 2 S
32 01:45.116
C
00:34.017 00:36.454 00:34.645 2 S
3rd Sebastian Grote in BMW M3 E30 Gr.A 92 TWCD
Best: 01:44.286, Potential: 01:44.286
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:37.014 01:32.706 00:50.750 01:13.558 2 M
2 05:06.589 03:55.314 00:37.003 00:34.272 4 S
3 01:48.379 00:35.016 00:38.303 00:35.060 1 S
4 01:49.085 00:34.251 00:38.825 00:36.009 2 S
5 01:44.286
L
00:33.726
S
00:36.657
S
00:33.903
S
S
0 S
6 01:47.167 00:33.826 00:37.580 00:35.761 1 S
7 01:46.300 00:34.556 00:37.436 00:34.308 1 S
8 01:45.540 00:33.922 00:37.417 00:34.201 0 S
9 02:27.051 01:15.712 00:37.062 00:34.277 1 M