Spa WEC 2022

16 Jan 23 18:34 AEDT
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Overview Practice
Open in Simresults L/S = Overall Best Lap/Sector L/S = Driver's Best Lap/Sector
# Name Car Best Practice Lap Average Lap Laps Ping
1 Hoodlum LM Hypercar 963 Lmdh URD Physics 02:04.737
Tyre: M 		02:04.737 3 laps / 2 cuts 30 - 34
2 klebdotio LM Hypercar 963 Lmdh URD Physics 02:07.327
Tyre: M 		02:07.327 3 laps / 4 cuts 2 - 3
3 klebdotio Ferrari 499 P 02:08.393
Tyre: M 		02:10.660 3 laps / 0 cuts 2 - 3
4 Hoodlum Ferrari 499 P 02:08.713
Tyre: M 		02:08.713 3 laps / 1 cuts 31 - 39
5 Hoodlum TG Peugeot 9X8 2022 02:09.396
Tyre: M 		02:46.610 6 laps / 0 cuts 31 - 44
6 Hoodlum URD SCG007 LMH 02:20.000
Tyre: M 		02:20.000 2 laps / 0 cuts 31 - 39
7 klebdotio URD SCG007 LMH 277:46:39.999
Tyre: ? 		00:00.000 3 laps / 9 cuts 2 - 3
8 klebdotio TG Peugeot 9X8 2022 277:46:39.999
Tyre: ? 		00:00.000 4 laps / 8 cuts 2 - 4
9 Hoodlum BMW M Hybrid 2022 277:46:39.999
Tyre: ? 		00:00.000 1 laps / 2 cuts 30 - 33
10 klebdotio BMW M Hybrid 2022 277:46:39.999
Tyre: ? 		00:00.000 1 laps / 0 cuts 1 - 8
11 Hoodlum FSR Vandervell LMH 277:46:39.999
Tyre: ? 		00:00.000 2 laps / 5 cuts 31 - 37
12 klebdotio FSR Vandervell LMH 277:46:39.999
Tyre: ? 		00:00.000 2 laps / 10 cuts 2 - 4
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 klebdotio Collision with environment 32.6 X: 1.0 Y: -0.2 Z: 2.4 X: 538.5 Y: 72.0 Z: 897.4 16:42:26 (AEDT)
2 klebdotio Collision with environment 83.1 X: 1.0 Y: -0.2 Z: 2.4 X: 292.5 Y: 25.1 Z: -268.3 16:44:26 (AEDT)
3 Hoodlum Collision with environment 3.4 X: -1.0 Y: 0.5 Z: -1.9 X: -32.8 Y: 0.5 Z: -676.6 16:46:53 (AEDT)
4 klebdotio Collision with environment 29.5 X: -1.0 Y: -0.2 Z: 2.4 X: 562.9 Y: 72.3 Z: 687.1 16:47:16 (AEDT)
5 klebdotio Collision with environment 0.2 X: -1.0 Y: -0.2 Z: 2.4 X: 560.1 Y: 72.5 Z: 690.5 16:47:21 (AEDT)
6 klebdotio Collision with environment 3.6 X: -1.0 Y: -0.2 Z: 2.4 X: -46.3 Y: 0.8 Z: -691.3 16:49:26 (AEDT)
7 klebdotio Collision with environment 16.2 X: -0.8 Y: -0.2 Z: 2.5 X: 565.0 Y: 72.2 Z: 685.0 16:49:51 (AEDT)
8 klebdotio Collision with environment 75.3 X: 1.0 Y: -0.2 Z: 2.4 X: 281.7 Y: 24.2 Z: -283.6 16:52:06 (AEDT)
9 Hoodlum Collision with environment 71.8 X: -1.0 Y: -0.2 Z: 2.4 X: 232.5 Y: 23.7 Z: -281.5 16:52:08 (AEDT)
10 klebdotio Collision with environment 70.2 X: 1.0 Y: -0.2 Z: 2.4 X: 350.7 Y: 30.4 Z: -177.7 16:52:11 (AEDT)
11 klebdotio Hoodlum Collision with car 20.0 X: -0.2 Y: -0.2 Z: -1.9 X: -212.8 Y: 11.4 Z: -422.9 16:56:37 (AEDT)
12 Hoodlum klebdotio Collision with car 18.4 X: -0.7 Y: -0.1 Z: 2.8 X: -212.9 Y: 11.4 Z: -423.0 16:56:38 (AEDT)
13 klebdotio Hoodlum Collision with car 17.8 X: 0.9 Y: 0.6 Z: 1.2 X: 278.0 Y: 5.6 Z: 415.5 17:00:07 (AEDT)
14 Hoodlum klebdotio Collision with car 2.9 X: -0.9 Y: 0.5 Z: -1.0 X: 279.2 Y: 5.7 Z: 418.5 17:00:08 (AEDT)
15 Hoodlum klebdotio Collision with car 28.8 X: 1.0 Y: -0.2 Z: 1.9 X: -353.5 Y: -18.7 Z: 808.4 17:09:12 (AEDT)
16 klebdotio Hoodlum Collision with car 25.7 X: -1.0 Y: -0.2 Z: 2.2 X: -353.8 Y: -18.7 Z: 808.8 17:09:13 (AEDT)
17 klebdotio Collision with environment 6.0 X: -1.0 Y: 0.5 Z: 2.0 X: -403.1 Y: 24.7 Z: -913.9 17:11:15 (AEDT)
18 klebdotio Collision with environment 38.6 X: -0.9 Y: -0.1 Z: 2.5 X: 531.8 Y: 71.8 Z: 903.1 17:14:05 (AEDT)
19 klebdotio Collision with environment 1.2 X: -1.0 Y: 0.9 Z: -2.0 X: 348.2 Y: 62.9 Z: 1040.4 17:14:15 (AEDT)
20 klebdotio Collision with environment 0.0 X: -1.0 Y: 0.9 Z: -2.0 X: 347.7 Y: 62.9 Z: 1040.7 17:14:20 (AEDT)
21 klebdotio Collision with environment 0.0 X: -1.0 Y: 0.9 Z: -2.0 X: 347.7 Y: 62.9 Z: 1040.7 17:14:25 (AEDT)
22 Hoodlum klebdotio Collision with car 20.6 X: -1.0 Y: -0.1 Z: 0.9 X: -513.6 Y: -19.5 Z: 577.3 17:15:17 (AEDT)
23 klebdotio Hoodlum Collision with car 19.7 X: 1.0 Y: -0.1 Z: 1.6 X: -230.2 Y: -11.4 Z: 382.8 17:15:21 (AEDT)
24 Hoodlum klebdotio Collision with car 13.3 X: -1.0 Y: 0.5 Z: 1.9 X: -230.3 Y: -10.8 Z: 382.9 17:15:22 (AEDT)
25 klebdotio Collision with environment 27.4 X: 0.9 Y: -0.2 Z: 2.5 X: -344.5 Y: -19.1 Z: 820.3 17:28:44 (AEDT)
26 Hoodlum klebdotio Collision with car 161.1 X: 0.7 Y: -0.2 Z: 2.5 X: -356.5 Y: -18.7 Z: 812.5 17:28:50 (AEDT)
27 klebdotio Hoodlum Collision with car 166.1 X: 0.9 Y: -0.2 Z: -1.9 X: -356.4 Y: -18.7 Z: 812.5 17:28:54 (AEDT)
28 Hoodlum klebdotio Collision with car 77.5 X: 0.9 Y: -0.1 Z: 2.5 X: -364.2 Y: -18.8 Z: 822.4 17:28:55 (AEDT)
29 klebdotio Hoodlum Collision with car 33.3 X: -0.9 Y: 0.0 Z: 2.5 X: -152.9 Y: 15.2 Z: -481.6 17:29:44 (AEDT)
30 Hoodlum klebdotio Collision with car 35.7 X: 0.9 Y: 0.1 Z: 1.6 X: -152.9 Y: 15.2 Z: -481.5 17:29:45 (AEDT)
31 klebdotio Hoodlum Collision with car 27.3 X: -0.9 Y: 0.0 Z: -2.0 X: 571.1 Y: 61.1 Z: 459.6 17:30:24 (AEDT)
32 Hoodlum Collision with environment 123.9 X: -0.9 Y: 0.8 Z: -2.0 X: -149.3 Y: 17.3 Z: -510.9 17:32:20 (AEDT)
33 klebdotio Collision with environment 54.3 X: -0.9 Y: 0.0 Z: 2.5 X: -531.8 Y: -26.7 Z: 942.8 17:34:29 (AEDT)
34 klebdotio Collision with environment 21.1 X: -0.7 Y: -0.2 Z: 2.6 X: -575.8 Y: -26.8 Z: 955.5 17:34:34 (AEDT)
Car Env Rel
Spa WEC 2022 Spa WEC 2022 collisions

There were no penalties in this session.

1st Hoodlum in LM Hypercar 963 Lmdh URD Physics
Best: 02:04.737, Potential: 02:04.737
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:33.401 01:00.292 00:58.658 00:34.451 1 M
2 02:28.093 00:36.417 01:15.748 00:35.928 1 M
3 02:04.737
L
L
00:35.875
S
00:55.157
S
S
00:33.705
S
0 M
2nd klebdotio in LM Hypercar 963 Lmdh URD Physics
Best: 02:07.327, Potential: 02:07.327
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:29.833 00:56.984 00:58.383 00:34.466 2 M
2 02:28.407 00:36.379 01:16.837 00:35.191 2 M
3 02:07.327
L
00:36.931
S
00:56.740
S
00:33.656
S
0 M
3rd klebdotio in Ferrari 499 P
Best: 02:08.393, Potential: 02:08.057
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:42.213 01:08.653 00:59.085 00:34.475 0 M
2 02:08.393
L
00:36.359
S
00:58.186
S
00:33.848 0 M
3 02:12.928 00:37.987 01:01.429 00:33.512
S
0 M
4th Hoodlum in Ferrari 499 P
Best: 02:08.713, Potential: 02:08.713
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:32.124 00:59.901 00:57.806 00:34.417 0 M
2 02:08.713
L
00:36.787
S
00:57.793
S
00:34.133
S
0 M
3 02:12.674 00:37.423 01:01.785 00:33.466 1 M
5th Hoodlum in TG Peugeot 9X8 2022
Best: 02:09.396, Potential: 02:05.034
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:13.325 01:42.754 00:57.001 00:33.570 0 M
2 02:09.396
L
00:35.282
S
S
01:00.976 00:33.138 0 M
3 04:07.688 02:37.936 00:56.956
S
00:32.796
S
S
0 M
4 02:26.109 00:44.444 01:07.127 00:34.538 0 M
5 02:37.491 00:36.908 01:26.527 00:34.056 0 M
6 02:32.370 00:37.008 01:21.049 00:34.313 0 M
6th Hoodlum in URD SCG007 LMH
Best: 02:20.000, Potential: 02:07.180
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:00.073 01:25.195 01:01.376 00:33.502
S
0 M
2 02:20.000
L
00:35.952
S
00:57.726
S
00:46.322 0 M
7th klebdotio in URD SCG007 LMH
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:03.506 01:28.741 01:01.294 00:33.471 3 M
2 02:34.217 00:36.164 00:57.281 01:00.772 3 M
3 02:11.155 00:36.516 01:00.673 00:33.966 3 M
8th klebdotio in TG Peugeot 9X8 2022
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:04.042 01:21.222 01:08.710 00:34.110 1 M
2 02:33.217 00:51.350 01:07.500 00:34.367 4 M
3 02:37.613 00:37.455 01:26.098 00:34.060 1 M
4 02:32.606 00:37.560 01:20.550 00:34.496 2 M
9th Hoodlum in BMW M Hybrid 2022
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:17.930 03:42.620 01:01.003 00:34.307 2 M
10th klebdotio in BMW M Hybrid 2022
Best: 277:46:39.999, Potential: 02:20.955
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:20.955
L
00:46.320
S
01:00.241
S
00:34.394
S
0 M
11th Hoodlum in FSR Vandervell LMH
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:12.623 01:02.573 01:31.607 00:38.443 2 M
2 02:37.989 00:37.056 01:10.901 00:50.032 3 M
12th klebdotio in FSR Vandervell LMH
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:08.123 00:58.141 01:32.403 00:37.579 6 M
2 02:58.598 00:37.366 01:25.941 00:55.291 4 M