Autodrome Lago Maggiore - GP

22 Jun 22 20:01 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 01:24.884
Tyre: C5
01:30.969 37 laps / 17 cuts 43 - 89
2 VM F1 2022 Model Beta 01:26.745
Tyre: C3
01:29.621 32 laps / 43 cuts 51 - 85
3 VM F1 2022 Model Beta 01:28.633
Tyre: C4
01:30.018 29 laps / 23 cuts 24 - 29
4 VM F1 2022 Model Beta 01:33.219
Tyre: C5
01:33.219 9 laps / 17 cuts 54 - 77
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 28.0 X: 1.0 Y: -0.1 Z: 2.9 X: 219.3 Y: 12.4 Z: -255.1 13:05:42 (PDT)
2 Collision with environment 99.0 X: -0.0 Y: 0.1 Z: 3.3 X: 668.8 Y: 6.8 Z: -176.3 13:06:12 (PDT)
3 Collision with environment 19.7 X: 1.0 Y: -0.1 Z: 2.9 X: 78.2 Y: 12.4 Z: -79.4 13:29:43 (PDT)
4 Collision with environment 7.0 X: -1.0 Y: -0.1 Z: 2.9 X: 769.2 Y: -19.9 Z: 307.4 13:31:48 (PDT)
5 Collision with environment 14.8 X: -1.0 Y: -0.1 Z: 2.9 X: 621.6 Y: 10.0 Z: -188.8 13:38:23 (PDT)
6 Collision with environment 20.7 X: -1.0 Y: -0.1 Z: 2.9 X: 262.9 Y: 12.8 Z: -223.9 13:53:43 (PDT)
7 Collision with environment 32.1 X: -0.1 Y: -0.1 Z: 3.3 X: -709.5 Y: 2.0 Z: 415.2 14:41:45 (PDT)
8 Collision with environment 29.0 X: -0.0 Y: 0.1 Z: 3.3 X: 607.5 Y: 12.4 Z: -213.5 14:50:10 (PDT)
9 Collision with car 34.2 X: 0.9 Y: -0.1 Z: 2.8 X: 751.5 Y: -18.0 Z: 319.8 16:42:24 (PDT)
10 Collision with environment 74.7 X: 0.2 Y: -0.1 Z: 3.1 X: 720.2 Y: -15.3 Z: 280.6 16:42:24 (PDT)
11 Collision with car 52.8 X: -0.9 Y: -0.1 Z: -1.4 X: 752.4 Y: -18.1 Z: 320.5 16:42:26 (PDT)
12 Collision with environment 153.2 X: -0.4 Y: -0.1 Z: 3.0 X: 853.8 Y: -21.4 Z: 162.0 16:45:26 (PDT)
13 Collision with environment 6.5 X: 1.0 Y: -0.1 Z: 1.9 X: -605.7 Y: 4.3 Z: 472.6 16:46:04 (PDT)
14 Collision with car 11.3 X: -0.9 Y: -0.1 Z: -1.3 X: -601.7 Y: 34.6 Z: 114.8 16:47:44 (PDT)
15 Collision with car 12.4 X: 1.0 Y: -0.1 Z: 1.6 X: -602.8 Y: 35.0 Z: 111.2 16:47:46 (PDT)
16 Collision with car 48.3 X: 0.9 Y: -0.1 Z: -1.2 X: -737.1 Y: 6.4 Z: 426.4 16:50:39 (PDT)
17 Collision with car 25.3 X: -0.9 Y: -0.1 Z: 2.9 X: -735.9 Y: 6.2 Z: 424.4 16:50:41 (PDT)
18 Collision with environment 66.2 X: -0.0 Y: 0.1 Z: 3.3 X: 612.6 Y: 11.7 Z: -204.5 16:53:01 (PDT)
19 Collision with car 23.8 X: -0.9 Y: -0.1 Z: -1.5 X: -759.3 Y: 12.3 Z: 467.6 16:55:19 (PDT)
20 Collision with car 22.8 X: 1.0 Y: -0.1 Z: 2.9 X: -747.4 Y: 8.8 Z: 437.6 16:55:21 (PDT)
21 Collision with car 8.4 X: -0.9 Y: -0.1 Z: -1.1 X: -746.5 Y: 8.6 Z: 436.4 16:55:24 (PDT)
22 Collision with environment 34.0 X: -0.0 Y: 0.0 Z: -2.4 X: -705.9 Y: 2.2 Z: 409.3 16:55:24 (PDT)
23 Collision with environment 91.8 X: 0.8 Y: -0.1 Z: 2.9 X: -605.6 Y: 30.6 Z: 152.8 16:55:31 (PDT)
24 Collision with environment 118.6 X: -0.5 Y: -0.1 Z: 3.0 X: -434.6 Y: 51.1 Z: -184.5 16:55:51 (PDT)
25 Collision with environment 90.8 X: -0.0 Y: 0.1 Z: 3.3 X: 706.2 Y: -14.3 Z: 313.2 17:03:16 (PDT)
26 Collision with car 65.3 X: 0.9 Y: -0.1 Z: 2.8 X: 624.4 Y: 11.8 Z: -214.6 17:04:44 (PDT)
27 Collision with car 70.7 X: -1.0 Y: -0.1 Z: 1.7 X: 624.5 Y: 11.8 Z: -214.9 17:04:47 (PDT)
28 Collision with environment 18.1 X: -0.0 Y: 0.0 Z: -2.4 X: 693.3 Y: -0.2 Z: -122.8 17:04:49 (PDT)
29 Collision with environment 45.1 X: -0.0 Y: 0.0 Z: -2.4 X: 686.4 Y: 1.8 Z: -137.7 17:04:52 (PDT)
30 Collision with environment 39.8 X: -1.0 Y: -0.1 Z: 2.9 X: 228.7 Y: 12.4 Z: -250.0 17:18:17 (PDT)
31 Collision with car 37.6 X: -1.0 Y: -0.1 Z: 2.9 X: 612.4 Y: 14.0 Z: -239.8 17:19:57 (PDT)
32 Collision with car 27.7 X: 0.8 Y: -0.1 Z: 0.4 X: 612.6 Y: 14.0 Z: -239.5 17:20:00 (PDT)
33 Collision with environment 20.1 X: 1.0 Y: -0.1 Z: 2.9 X: 656.8 Y: 9.4 Z: -200.9 17:20:02 (PDT)
34 Collision with environment 62.6 X: -0.0 Y: 0.1 Z: 3.3 X: 606.5 Y: 12.6 Z: -215.1 17:30:57 (PDT)
35 Collision with environment 46.2 X: -1.0 Y: -0.1 Z: 2.9 X: 527.1 Y: 16.5 Z: -262.1 17:43:48 (PDT)
36 Collision with environment 113.7 X: -0.0 Y: -0.1 Z: 3.1 X: 492.0 Y: 17.1 Z: -288.0 17:44:23 (PDT)
37 Collision with environment 35.4 X: -0.9 Y: -0.1 Z: -1.9 X: 230.6 Y: 12.4 Z: -248.0 18:30:42 (PDT)
38 Collision with environment 15.5 X: -0.9 Y: -0.1 Z: 2.9 X: -702.7 Y: 2.3 Z: 404.1 18:59:54 (PDT)
Car Env Rel
Autodrome Lago Maggiore - GP Autodrome Lago Maggiore - GP collisions

There were no penalties in this session.

1st Busken in VM F1 2022 Model Beta
Best: 01:24.884, Potential: 01:24.884
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:29.582 05:29.764 00:29.709 00:30.109 2 C5
2 01:35.776 00:39.220 00:29.907 00:26.649 0 C5
3 01:24.884
L
L
00:34.111
S
S
00:26.442
S
S
00:24.331
S
S
0 C5
4 04:27.787 03:34.512 00:27.751 00:25.524 1 C3
5 01:27.531 00:35.056 00:27.391 00:25.084 0 C3
6 01:29.896 00:37.223 00:27.527 00:25.146 0 C3
7 01:28.732
C
00:36.298 00:27.405 00:25.029 2 C3
8 03:21.511 02:28.447 00:27.819 00:25.245 1 C3
9 01:27.765 00:35.456 00:26.996 00:25.313 0 C3
10 01:41.078 00:46.628 00:28.441 00:26.009 0 C3
11 01:29.971
C
00:35.768 00:27.743 00:26.460 2 C3
12 01:31.400 00:36.150 00:29.416 00:25.834 0 C3
13 01:28.842 00:35.894 00:27.568 00:25.380 0 C3
14 01:28.564 00:35.770 00:27.603 00:25.191 0 C3
15 01:43.213 00:50.194 00:27.778 00:25.241 0 C3
16 01:43.717 00:36.519 00:35.883 00:31.315 0 C3
17 01:30.136 00:36.941 00:27.811 00:25.384 0 C3
18 01:30.312 00:36.496 00:28.300 00:25.516 0 C3
19 05:19.743 04:18.214 00:36.130 00:25.399 1 C4
20 01:42.248 00:50.233 00:26.978 00:25.037 1 C4
21 01:28.355 00:35.247 00:27.468 00:25.640 0 C4
22 01:29.481 00:36.570 00:27.675 00:25.236 0 C4
23 01:29.689
C
00:36.864 00:26.937 00:25.888 2 C4
24 01:27.738 00:35.614 00:27.086 00:25.038 0 C4
25 01:28.447 00:35.626 00:26.788 00:26.033 0 C4
26 01:27.526 00:35.519 00:26.928 00:25.079 0 C4
27 01:26.554 00:34.890 00:26.748 00:24.916 0 C4
28 01:37.799 00:45.626 00:26.811 00:25.362 2 C4
29 01:32.806 00:39.765 00:27.616 00:25.425 0 C4
30 11:00.948 10:06.876 00:28.151 00:25.921 1 C4
31 01:25.563 00:34.596 00:26.491 00:24.476 0 C4
32 02:19.335 01:25.983 00:27.332 00:26.020 1 C4
33 01:25.198 00:34.145 00:26.483 00:24.570 0 C4
34 02:01.110 01:05.508 00:29.618 00:25.984 1 C3
35 01:25.603 00:34.474 00:26.599 00:24.530 0 C3
36 01:48.370 00:53.178 00:28.903 00:26.289 0 C3
37 01:25.478 00:34.214 00:26.712 00:24.552 0 C3
2nd Boogie in VM F1 2022 Model Beta
Best: 01:26.745, Potential: 01:26.686
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:14.941 02:19.488 00:29.411 00:26.042 1 C3
2 01:29.798 00:36.329 00:27.612 00:25.857 0 C3
3 01:26.745
L
00:35.399
S
00:26.582 00:24.764
S
0 C3
4 06:33.677 05:40.524 00:27.719 00:25.434 2 C3
5 01:28.414
C
00:35.948 00:27.460 00:25.006 2 C3
6 01:30.122 00:36.689 00:28.206 00:25.227 0 C3
7 01:28.040 00:36.245 00:26.523
S
00:25.272 0 C3
8 03:21.278 02:28.102 00:28.112 00:25.064 4 C3
9 01:28.779 00:35.431 00:27.841 00:25.507 0 C3
10 01:40.444 00:44.685 00:29.808 00:25.951 4 C3
11 01:29.979 00:36.024 00:27.486 00:26.469 4 C3
12 01:31.133 00:37.889 00:27.532 00:25.712 0 C3
13 01:29.818 00:36.628 00:27.788 00:25.402 0 C3
14 01:28.732
C
00:35.853 00:27.013 00:25.866 4 C3
15 01:42.016 00:48.669 00:27.756 00:25.591 2 C3
16 01:45.378 00:36.788 00:34.497 00:34.093 2 C3
17 01:29.388 00:36.575 00:27.478 00:25.335 0 C3
18 01:30.315 00:36.454 00:28.183 00:25.678 0 C3
19 05:18.897 04:25.081 00:27.680 00:26.136 2 C4
20 01:43.234 00:49.927 00:27.788 00:25.519 2 C4
21 01:27.495
C
00:35.443 00:26.762 00:25.290 2 C4
22 01:29.135 00:36.935 00:27.100 00:25.100 0 C4
23 01:29.431
C
00:36.003 00:28.287 00:25.141 2 C4
24 01:28.745 00:35.911 00:27.666 00:25.168 0 C4
25 01:29.543
C
00:36.830 00:26.924 00:25.789 2 C4
26 01:29.539 00:36.164 00:27.703 00:25.672 0 C4
27 01:30.064 00:36.519 00:27.602 00:25.943 2 C4
28 01:30.375 00:37.346 00:27.986 00:25.043 0 C4
29 01:32.763 00:40.522 00:27.072 00:25.169 0 C4
30 10:59.322 10:06.950 00:26.892 00:25.480 2 C4
31 01:30.963 00:39.078 00:26.977 00:24.908 2 C4
32 01:29.576
C
00:36.783 00:27.125 00:25.668 2 C4
3rd Lemon in VM F1 2022 Model Beta
Best: 01:28.633, Potential: 01:27.983
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 01:59.321 01:05.681 00:27.738 00:25.902 2 C4
2 01:29.210 00:36.714 00:26.833
S
00:25.663 0 C4
3 01:29.665 00:36.713 00:27.567 00:25.385 0 C4
4 25:41.507 24:47.872 00:27.590 00:26.045 3 C4
5 02:13.310 01:20.112 00:27.269 00:25.929 2 C4
6 01:30.453 00:37.244 00:27.716 00:25.493 0 C4
7 01:29.810
C
00:36.503 00:27.721 00:25.586 2 C4
8 01:32.005 00:35.913 00:27.800 00:28.292 0 C4
9 03:02.602 02:01.011 00:35.856 00:25.735 1 C4
10 01:28.633
L
00:36.176 00:27.109 00:25.348
S
0 C4
11 01:31.212 00:37.806 00:27.544 00:25.862 0 C4
12 01:28.713 00:35.802
S
00:27.531 00:25.380 0 C4
13 01:29.018 00:35.900 00:27.455 00:25.663 0 C4
14 02:01.583 01:09.815 00:26.978 00:24.790 1 C4
15 01:29.687
C
00:36.255 00:27.135 00:26.297 2 C4
16 01:29.841
C
00:37.127 00:27.252 00:25.462 2 C4
17 01:29.793 00:36.598 00:27.819 00:25.376 0 C4
18 02:19.847 01:26.388 00:27.531 00:25.928 1 C4
19 01:32.028 00:38.127 00:27.710 00:26.191 0 C4
20 02:13.550 01:19.802 00:27.581 00:26.167 1 C4
21 01:29.701 00:37.011 00:27.067 00:25.623 0 C4
22 01:29.034 00:36.185 00:27.334 00:25.515 0 C4
23 01:30.058 00:36.342 00:28.084 00:25.632 2 C4
24 01:30.410 00:36.662 00:27.707 00:26.041 0 C4
25 04:28.423 03:21.823 00:40.347 00:26.253 2 C4
26 01:31.373 00:37.495 00:28.075 00:25.803 0 C4
27 02:46.304 01:53.339 00:27.315 00:25.650 2 C4
28 01:29.354 00:36.412 00:27.567 00:25.375 0 C4
29 01:29.687 00:36.470 00:27.333 00:25.884 0 C4
4th Dxg in VM F1 2022 Model Beta
Best: 01:33.219, Potential: 01:33.219
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 01:58.473 00:57.956 00:31.411 00:29.106 1 C5
2 01:58.691 00:57.689 00:30.051 00:30.951 4 C5
3 01:42.845 00:45.002 00:28.954 00:28.889 1 C5
4 02:49.835 01:41.512 00:30.307 00:38.016 3 C4
5 02:06.304 00:58.462 00:29.236 00:38.606 2 C5
6 01:48.595 00:51.882 00:29.313 00:27.400 1 C5
7 01:39.352 00:41.559 00:28.390 00:29.403 4 C5
8 01:33.219
L
00:37.900
S
00:28.282
S
00:27.037
S
0 C5
9 01:43.018 00:38.416 00:36.927 00:27.675 1 C5