Valencia Street Circuit

04 Aug 22 14:53 PDT
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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 Ping
1 VM F1 2022 Model Beta 01:39.212
Tyre: C4
02:00.759 14 laps / 14 cuts 110 - 181
2 VM F1 2022 Model Beta 01:40.828
Tyre: C4
01:41.675 4 laps / 1 cuts 253 - 278
3 VM F1 2022 Model Beta 01:40.954
Tyre: C5
01:40.954 4 laps / 6 cuts 199 - 211
4 VM F1 2022 Model Beta 277:46:39.999
Tyre: ?
00:00.000 4 laps / 12 cuts 184 - 229
5 VM F1 2022 Model Beta 277:46:39.999
Tyre: ?
00:00.000 2 laps / 2 cuts 212 - 217
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 124.2 X: -0.0 Y: -0.1 Z: 3.3 X: 3.3 Y: 0.2 Z: -421.7 08:00:13 (PDT)
2 Collision with environment 6.4 X: 1.0 Y: -0.1 Z: 2.9 X: 897.7 Y: 1.2 Z: -243.7 08:09:32 (PDT)
3 Collision with environment 23.8 X: -0.9 Y: -0.1 Z: -1.9 X: 674.2 Y: 0.0 Z: -251.9 08:09:37 (PDT)
4 Collision with environment 23.8 X: -0.9 Y: -0.1 Z: -1.9 X: 69.3 Y: -0.2 Z: -343.8 08:10:32 (PDT)
5 Collision with environment 13.9 X: -1.0 Y: -0.1 Z: 2.9 X: 888.4 Y: 1.3 Z: -339.9 08:17:56 (PDT)
6 Collision with environment 292.1 X: -0.0 Y: 0.1 Z: 3.3 X: 5.2 Y: 0.3 Z: -415.4 08:19:17 (PDT)
7 Collision with environment 26.8 X: 1.0 Y: -0.3 Z: 2.1 X: 14.2 Y: -0.2 Z: -353.4 09:03:53 (PDT)
8 Collision with environment 77.1 X: 0.0 Y: -0.1 Z: 3.3 X: -8.3 Y: 0.2 Z: -445.4 09:27:54 (PDT)
9 Collision with environment 49.8 X: -0.0 Y: -0.1 Z: 3.3 X: 847.1 Y: 0.2 Z: -237.1 09:30:39 (PDT)
10 Collision with environment 19.9 X: -1.0 Y: -0.1 Z: 2.9 X: -44.1 Y: 0.2 Z: -438.4 09:35:39 (PDT)
11 Collision with environment 11.9 X: -1.0 Y: -0.1 Z: 2.9 X: -44.9 Y: 0.2 Z: -437.7 09:35:44 (PDT)
12 Collision with environment 1.5 X: -1.0 Y: -0.1 Z: 2.9 X: -53.9 Y: 0.2 Z: -429.3 09:35:49 (PDT)
13 Collision with environment 7.5 X: -1.0 Y: -0.1 Z: 2.9 X: 498.4 Y: 0.5 Z: -424.4 09:37:49 (PDT)
14 Collision with environment 12.4 X: 1.0 Y: -0.1 Z: 2.9 X: 898.0 Y: 1.2 Z: -250.6 09:37:59 (PDT)
15 Collision with environment 60.8 X: 0.0 Y: -0.1 Z: 3.3 X: -884.7 Y: 1.5 Z: 420.3 09:45:49 (PDT)
16 Collision with environment 4.7 X: -1.0 Y: -0.1 Z: 2.9 X: 615.1 Y: 1.1 Z: -462.5 09:46:54 (PDT)
17 Collision with environment 27.3 X: -0.9 Y: -0.1 Z: -1.9 X: 521.8 Y: 0.0 Z: -186.1 09:47:14 (PDT)
18 Collision with environment 80.6 X: -0.9 Y: 0.4 Z: -1.8 X: 195.4 Y: 0.8 Z: 253.2 09:47:24 (PDT)
19 Collision with environment 12.4 X: 0.0 Y: -0.1 Z: 3.3 X: -28.0 Y: 1.3 Z: 400.9 09:47:34 (PDT)
20 Collision with environment 33.9 X: -0.0 Y: 0.0 Z: -2.4 X: -165.3 Y: 2.0 Z: 438.8 09:47:49 (PDT)
21 Collision with environment 110.0 X: -0.9 Y: 0.2 Z: 2.8 X: -26.5 Y: 1.3 Z: 373.8 09:49:14 (PDT)
22 Collision with environment 18.8 X: -0.9 Y: -0.1 Z: -1.9 X: -25.6 Y: 1.0 Z: 372.4 09:49:19 (PDT)
23 Collision with environment 10.7 X: 1.0 Y: -0.1 Z: 2.9 X: -11.3 Y: 0.0 Z: -359.2 10:06:14 (PDT)
24 Collision with environment 11.6 X: 0.9 Y: -0.1 Z: -1.9 X: 317.5 Y: 0.0 Z: -418.6 10:06:19 (PDT)
25 Collision with environment 6.9 X: 1.0 Y: -0.1 Z: 2.9 X: -297.9 Y: 1.4 Z: 378.9 10:07:09 (PDT)
26 Collision with environment 13.5 X: 1.0 Y: -0.1 Z: 2.9 X: -271.4 Y: 0.6 Z: 290.9 10:07:34 (PDT)
27 Collision with environment 26.2 X: -1.0 Y: -0.1 Z: 2.9 X: 882.9 Y: 1.2 Z: -224.0 10:08:24 (PDT)
28 Collision with environment 83.8 X: -0.9 Y: 0.2 Z: 2.8 X: -555.5 Y: 1.8 Z: 237.7 10:12:44 (PDT)
29 Collision with environment 20.7 X: 0.9 Y: -0.1 Z: -1.9 X: -402.6 Y: 2.3 Z: 357.7 10:14:04 (PDT)
30 Collision with environment 16.5 X: -0.0 Y: -0.1 Z: 3.3 X: -32.1 Y: 0.3 Z: -397.6 10:41:07 (PDT)
31 Collision with environment 9.3 X: -1.0 Y: -0.1 Z: 2.9 X: 501.5 Y: 0.5 Z: -425.9 10:47:10 (PDT)
32 Collision with environment 28.9 X: -0.0 Y: -0.1 Z: 3.3 X: 901.0 Y: 1.3 Z: -328.3 10:47:20 (PDT)
33 Collision with environment 73.4 X: 1.0 Y: -0.1 Z: 2.9 X: -601.6 Y: 1.6 Z: 411.8 10:48:10 (PDT)
34 Collision with environment 8.1 X: -0.0 Y: 0.0 Z: -2.4 X: -920.0 Y: 1.5 Z: 415.3 10:48:25 (PDT)
35 Collision with environment 2.7 X: -0.0 Y: 0.0 Z: -2.4 X: -934.4 Y: 1.3 Z: 424.6 10:48:40 (PDT)
36 Collision with environment 6.7 X: -0.0 Y: -0.1 Z: 3.3 X: -35.2 Y: 0.2 Z: -446.7 11:42:49 (PDT)
37 Collision with environment 65.4 X: -0.0 Y: 0.1 Z: 3.3 X: -42.0 Y: 0.3 Z: -440.4 11:51:25 (PDT)
38 Collision with environment 29.6 X: -0.7 Y: -0.1 Z: 3.0 X: -99.1 Y: 0.2 Z: 147.6 11:55:05 (PDT)
39 Collision with environment 0.0 X: -0.6 Y: -0.1 Z: 3.1 X: -99.1 Y: 0.2 Z: 147.7 11:55:10 (PDT)
40 Collision with environment 0.1 X: -0.6 Y: -0.1 Z: 3.1 X: -99.1 Y: 0.2 Z: 147.7 11:55:15 (PDT)
41 Collision with environment 6.9 X: 1.0 Y: -0.1 Z: 2.9 X: 897.9 Y: 1.2 Z: -248.5 11:56:10 (PDT)
42 Collision with environment 15.8 X: -1.0 Y: -0.1 Z: 2.4 X: -101.3 Y: 2.5 Z: 473.3 11:58:20 (PDT)
43 Collision with environment 16.3 X: 1.0 Y: -0.1 Z: 2.9 X: 289.6 Y: -0.0 Z: -420.0 12:38:06 (PDT)
44 Collision with environment 1.5 X: 1.0 Y: -0.1 Z: 2.9 X: 333.4 Y: 0.1 Z: -417.1 13:49:23 (PDT)
Car Env Rel
Valencia Street Circuit Valencia Street Circuit collisions

There were no penalties in this session.

1st Kadrix in VM F1 2022 Model Beta
Best: 01:39.212, Potential: 01:38.480
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:13.511 00:56.611 00:48.051 00:28.849 2 C3
2 03:48.837 02:23.476 00:47.889 00:37.472 1 C4
3 03:22.122 02:05.199 00:47.542 00:29.381 2 C4
4 01:39.517 00:24.750 00:46.381 00:28.386 0 C4
5 02:26.971 01:09.701 00:48.294 00:28.976 1 C4
6 01:39.212
L
L
00:24.432
S
S
00:46.327
S
S
00:28.453 0 C4
7 01:39.561 00:24.721 00:46.719 00:28.121 0 C4
8 03:44.793 02:29.957 00:46.629 00:28.207 0 C4
9 02:31.687 01:12.942 00:49.661 00:29.084 2 C3
10 01:41.908 00:24.756 00:48.680 00:28.472 0 C3
11 05:25.463 04:10.237 00:46.679 00:28.547 0 C4
12 08:58.494 06:48.191 01:23.790 00:46.513 5 C3
13 02:36.631 01:19.771 00:48.285 00:28.575 1 C4
14 01:39.564 00:24.639 00:47.204 00:27.721
S
S
0 C4
2nd M8_k_zn in VM F1 2022 Model Beta
Best: 01:40.828, Potential: 01:40.772
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:33.519 01:14.841 00:49.414 00:29.264 1 C4
2 01:42.599 00:24.812
S
00:48.861 00:28.926 0 C4
3 01:41.599 00:25.059 00:47.785 00:28.755 0 C4
4 01:40.828
L
00:24.868 00:47.273
S
00:28.687
S
0 C4
3rd Mufat™ in VM F1 2022 Model Beta
Best: 01:40.954, Potential: 01:40.954
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:21.571 01:00.053 00:48.520 00:32.998 3 C5
2 01:40.954
L
00:24.931
S
00:47.003
S
00:29.020
S
0 C5
3 01:47.672 00:30.970 00:47.038 00:29.664 1 C5
4 01:42.054 00:25.238 00:47.142 00:29.674 2 C5
4th Max Snow in VM F1 2022 Model Beta
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:47.451 01:28.088 00:49.168 00:30.195 2 C4
2 02:55.708 01:33.948 00:50.647 00:31.113 5 C4
3 02:14.326 00:52.025 00:50.585 00:31.716 4 C4
4 01:46.714 00:26.582 00:49.303 00:30.829 1 C4
5th Autoprefecture.jp in VM F1 2022 Model Beta
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:52.494 02:36.286 00:47.637 00:28.571 1 C4
2 02:16.968 00:52.395 00:46.872 00:37.701 1 C4