Imola

28 Jul 24 01:07 CST
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Overview Qualifying
Open in Simresults Download as JSON L/S = Overall Best Lap/Sector L/S = Driver's Best Lap/Sector
# Name Car Qualifying Time Average Lap Laps Ping
1 ERM what the sigma Lotus Exos 125 Stage 1 01:30.879
Tyre: S 		01:30.879 5 laps / 10 cuts 4 - 8241
2 wind got him Lotus Exos 125 Stage 1 277:46:39.999
Tyre: ? 		00:00.000 4 laps / 21 cuts 4 - 1138
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 ERM what the sigma Collision with environment 85.5 X: 0.9 Y: -0.0 Z: 2.8 X: 399.8 Y: -57.9 Z: -66.4 00:56:25 (CST)
2 ERM what the sigma Collision with environment 65.4 X: -0.9 Y: -0.1 Z: -1.7 X: 540.4 Y: -60.9 Z: -121.9 00:56:30 (CST)
3 ERM what the sigma Collision with environment 71.7 X: 0.9 Y: -0.0 Z: 2.8 X: -793.8 Y: -66.8 Z: 460.8 00:58:15 (CST)
4 ERM what the sigma Collision with environment 21.7 X: 0.4 Y: 0.0 Z: -2.3 X: -747.2 Y: -65.3 Z: 477.7 00:58:20 (CST)
5 ERM what the sigma Collision with environment 16.6 X: -0.9 Y: -0.1 Z: -1.7 X: -195.4 Y: -69.0 Z: 8.9 00:58:45 (CST)
6 wind got him Collision with environment 34.6 X: 0.4 Y: 0.0 Z: -2.3 X: -275.1 Y: -52.5 Z: 459.4 00:59:58 (CST)
7 ERM what the sigma wind got him Collision with car 25.1 X: -0.9 Y: 0.3 Z: -1.3 X: 870.8 Y: -82.6 Z: -396.5 01:00:40 (CST)
8 wind got him ERM what the sigma Collision with car 22.2 X: 0.9 Y: -0.1 Z: 1.7 X: 870.9 Y: -83.1 Z: -396.5 01:00:43 (CST)
9 ERM what the sigma wind got him Collision with car 22.0 X: 0.8 Y: -0.1 Z: 2.0 X: 898.7 Y: -84.1 Z: -422.0 01:00:45 (CST)
10 wind got him ERM what the sigma Collision with car 6.8 X: 0.0 Y: -0.2 Z: 2.8 X: 906.9 Y: -84.5 Z: -434.1 01:00:48 (CST)
11 wind got him Collision with environment 31.4 X: 0.9 Y: -0.1 Z: 2.8 X: -99.3 Y: -62.2 Z: -21.1 01:02:23 (CST)
12 wind got him Collision with environment 15.6 X: -0.4 Y: 0.0 Z: -2.3 X: -112.2 Y: -63.0 Z: 8.1 01:02:28 (CST)
13 wind got him Collision with environment 57.6 X: 0.9 Y: -0.1 Z: -1.7 X: 299.6 Y: -55.6 Z: 13.8 01:02:38 (CST)
14 wind got him Collision with environment 29.1 X: 0.9 Y: -0.0 Z: 2.7 X: 107.8 Y: -84.6 Z: -407.7 01:03:43 (CST)
15 wind got him Collision with environment 14.0 X: -0.9 Y: 0.3 Z: -1.7 X: -888.0 Y: -70.5 Z: 499.4 01:04:28 (CST)
16 wind got him Collision with environment 24.0 X: -1.0 Y: 0.3 Z: 1.5 X: 393.8 Y: -57.5 Z: -64.5 01:05:08 (CST)
17 wind got him Collision with environment 54.2 X: -0.7 Y: -0.0 Z: 2.7 X: 618.3 Y: -63.4 Z: -205.2 01:05:23 (CST)
18 wind got him ERM what the sigma Collision with car 266.6 X: -0.4 Y: -0.0 Z: -2.2 X: 639.9 Y: -64.9 Z: -240.5 01:05:28 (CST)
19 ERM what the sigma wind got him Collision with car 267.3 X: 0.4 Y: -0.2 Z: 2.6 X: 640.0 Y: -65.0 Z: -240.5 01:05:30 (CST)
20 wind got him ERM what the sigma Collision with car 24.9 X: 0.7 Y: -0.3 Z: -0.1 X: 645.6 Y: -64.9 Z: -244.4 01:05:33 (CST)
21 ERM what the sigma Collision with environment 23.7 X: -0.9 Y: 0.3 Z: -1.7 X: 711.8 Y: -71.2 Z: -328.6 01:05:35 (CST)
22 ERM what the sigma Collision with environment 29.3 X: 0.4 Y: 0.0 Z: -2.3 X: 734.1 Y: -74.0 Z: -357.0 01:05:40 (CST)
23 wind got him Collision with environment 59.2 X: 0.9 Y: -0.2 Z: 2.8 X: 642.5 Y: -87.1 Z: -468.4 01:06:13 (CST)
24 wind got him Collision with environment 33.8 X: -0.4 Y: 0.0 Z: -2.3 X: 357.9 Y: -85.6 Z: -399.4 01:06:33 (CST)
25 ERM what the sigma Collision with environment 28.6 X: 0.4 Y: 0.0 Z: -2.3 X: 364.0 Y: -85.7 Z: -399.6 01:06:35 (CST)
Car Env Rel
Imola Imola collisions

There were no penalties in this session.

1st ERM what the sigma in Lotus Exos 125 Stage 1
Best: 01:30.879, Potential: 01:30.879
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:04.909 00:49.084 00:39.555 00:36.270 3 S
2 02:29.045 01:11.079 00:47.303 00:30.663 5 S
3 01:40.915 00:26.391 00:35.910 00:38.614 1 S
4 01:42.421 00:26.826 00:45.040 00:30.555 1 S
5 01:30.879
L
L
00:26.056
S
S
00:34.492
S
S
00:30.331
S
S
0 S
2nd wind got him in Lotus Exos 125 Stage 1
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:03.164 00:47.232 00:39.887 00:36.045 2 S
2 02:14.971 00:59.853 00:38.358 00:36.760 6 S
3 01:54.872 00:28.904 00:46.206 00:39.762 3 S
4 02:16.802 00:29.378 01:03.225 00:44.199 10 S