Jeddah 2024 - Saudi Arabian Grand Prix

09 Jun 24 01:04 UTC
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Overview Practice
View Championship 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 Rodrigo Angeloni Lotus Exos 125 Stage 1 01:46.602
Tyre: M 		02:30.749 18 laps / 19 cuts 51 - 57
2 MAPSO GPT Lotus Exos 125 Stage 1 02:11.366
Tyre: WET 		05:40.434 7 laps / 7 cuts 34 - 38
3 Tomas Giometti Lotus Exos 125 Stage 1 277:46:39.999
Tyre: ? 		00:00.000 9 laps / 24 cuts 31 - 43
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Tomas Giometti Collision with environment 0.8 X: 1.0 Y: 0.3 Z: 1.5 X: -8.6 Y: 2.4 Z: 1016.3 00:10:54 (UTC)
2 Tomas Giometti Collision with environment 18.1 X: 0.9 Y: -0.2 Z: 2.8 X: -54.4 Y: 1.8 Z: -25.5 00:11:44 (UTC)
3 Tomas Giometti Collision with environment 16.7 X: -1.0 Y: -0.0 Z: 1.6 X: 2.7 Y: 2.0 Z: 376.2 00:15:49 (UTC)
4 Tomas Giometti Collision with environment 9.2 X: 0.9 Y: -0.1 Z: -1.7 X: 73.5 Y: 1.9 Z: 846.2 00:19:40 (UTC)
5 Tomas Giometti Collision with environment 90.6 X: -0.9 Y: -0.1 Z: 2.7 X: 401.7 Y: 2.1 Z: 1613.4 00:21:45 (UTC)
6 Rodrigo Angeloni Collision with environment 11.4 X: 0.9 Y: -0.1 Z: -1.7 X: 68.7 Y: 2.0 Z: 855.0 00:26:32 (UTC)
7 Rodrigo Angeloni Collision with environment 11.1 X: -0.9 Y: 0.0 Z: -1.7 X: 398.4 Y: 2.2 Z: 1600.2 00:26:52 (UTC)
8 Rodrigo Angeloni Collision with environment 13.4 X: -0.9 Y: -0.2 Z: 2.6 X: 314.9 Y: 1.8 Z: 1222.3 00:26:57 (UTC)
9 MAPSO GPT Collision with environment 5.4 X: -1.0 Y: -0.1 Z: 1.5 X: -86.1 Y: 2.0 Z: -373.1 00:32:23 (UTC)
10 MAPSO GPT Collision with environment 9.1 X: 0.9 Y: -0.2 Z: 2.8 X: -9.0 Y: 1.5 Z: -1083.9 00:32:33 (UTC)
11 MAPSO GPT Collision with environment 28.5 X: -0.9 Y: -0.1 Z: -1.7 X: -89.3 Y: 2.0 Z: -1074.2 00:32:38 (UTC)
12 MAPSO GPT Collision with environment 10.4 X: -1.0 Y: -0.1 Z: 1.5 X: -64.5 Y: 2.0 Z: 81.1 00:34:18 (UTC)
13 MAPSO GPT Collision with environment 36.6 X: 0.9 Y: 0.3 Z: -1.7 X: 78.2 Y: 2.4 Z: 837.4 00:35:23 (UTC)
14 Rodrigo Angeloni Collision with environment 26.5 X: 0.9 Y: 0.3 Z: 1.6 X: -58.0 Y: 2.4 Z: -165.0 00:36:17 (UTC)
15 MAPSO GPT Collision with environment 147.7 X: 0.9 Y: -0.0 Z: 2.8 X: -147.4 Y: 2.0 Z: -239.5 00:36:28 (UTC)
16 MAPSO GPT Collision with environment 4.0 X: 0.9 Y: -0.2 Z: 2.8 X: -141.4 Y: 1.8 Z: -345.6 00:36:38 (UTC)
17 Rodrigo Angeloni Collision with environment 59.4 X: -0.9 Y: -0.1 Z: 2.7 X: -198.6 Y: 1.9 Z: -393.7 00:36:52 (UTC)
18 MAPSO GPT Collision with environment 282.9 X: -0.9 Y: -0.0 Z: 2.8 X: 20.8 Y: 2.0 Z: -1143.8 00:36:58 (UTC)
19 MAPSO GPT Collision with environment 5.9 X: 0.9 Y: -0.2 Z: 2.8 X: 19.4 Y: 1.8 Z: -1143.3 00:37:03 (UTC)
20 MAPSO GPT Collision with environment 0.5 X: -1.0 Y: 0.3 Z: 1.5 X: 184.7 Y: 2.4 Z: 878.4 00:37:13 (UTC)
21 MAPSO GPT Collision with environment 0.0 X: -1.0 Y: 0.3 Z: 1.5 X: 176.3 Y: 2.4 Z: 853.7 00:37:18 (UTC)
22 MAPSO GPT Collision with environment 27.7 X: -1.0 Y: 0.3 Z: 1.5 X: 31.3 Y: 2.4 Z: 222.1 00:37:33 (UTC)
23 MAPSO GPT Collision with environment 69.9 X: -0.6 Y: -0.1 Z: 2.8 X: -10.7 Y: 1.9 Z: 103.7 00:37:38 (UTC)
24 MAPSO GPT Collision with environment 3.5 X: 0.9 Y: -0.2 Z: 2.8 X: -9.4 Y: 1.9 Z: 103.8 00:37:43 (UTC)
25 MAPSO GPT Collision with environment 211.1 X: -0.6 Y: -0.0 Z: 2.7 X: -36.3 Y: 2.0 Z: -196.0 00:37:53 (UTC)
26 MAPSO GPT Collision with environment 64.8 X: -0.9 Y: -0.1 Z: -1.7 X: -35.5 Y: 2.1 Z: -195.6 00:37:58 (UTC)
27 Rodrigo Angeloni Collision with environment 233.1 X: 0.9 Y: -0.1 Z: 2.7 X: 75.0 Y: 2.0 Z: 843.4 00:38:33 (UTC)
28 MAPSO GPT Collision with environment 10.3 X: -0.9 Y: -0.2 Z: 2.6 X: -58.4 Y: 1.9 Z: 0.5 00:38:58 (UTC)
29 Rodrigo Angeloni Collision with environment 2.3 X: -1.0 Y: -0.1 Z: 1.5 X: 30.8 Y: 2.0 Z: 218.9 00:39:13 (UTC)
30 MAPSO GPT Collision with environment 13.2 X: 1.0 Y: -0.1 Z: 1.5 X: -180.6 Y: 2.0 Z: -418.9 00:39:43 (UTC)
31 MAPSO GPT Collision with environment 16.5 X: -0.9 Y: -0.0 Z: 2.8 X: 1.4 Y: 2.0 Z: 508.4 00:39:58 (UTC)
32 MAPSO GPT Collision with environment 4.2 X: -1.0 Y: 0.3 Z: 1.5 X: 69.5 Y: 2.4 Z: 729.6 00:40:03 (UTC)
33 MAPSO GPT Collision with environment 23.7 X: -0.9 Y: 0.3 Z: 1.8 X: -26.0 Y: 2.4 Z: 1147.4 00:40:13 (UTC)
34 MAPSO GPT Collision with environment 24.9 X: 0.9 Y: 0.3 Z: 1.6 X: 74.5 Y: 2.4 Z: 1397.9 00:40:18 (UTC)
35 Rodrigo Angeloni Collision with environment 35.1 X: -1.0 Y: 0.3 Z: 1.5 X: 46.0 Y: 2.4 Z: -757.8 00:40:33 (UTC)
36 MAPSO GPT Collision with environment 11.9 X: -0.9 Y: -0.0 Z: 2.8 X: 42.5 Y: 2.0 Z: 286.9 00:40:58 (UTC)
37 MAPSO GPT Collision with environment 25.2 X: 0.9 Y: 0.3 Z: -1.7 X: -37.7 Y: 2.4 Z: -663.9 00:41:48 (UTC)
38 MAPSO GPT Collision with environment 115.9 X: 0.9 Y: -0.0 Z: 2.8 X: -108.5 Y: 2.0 Z: -444.5 00:41:53 (UTC)
39 Rodrigo Angeloni Collision with environment 8.3 X: 0.9 Y: -0.2 Z: 2.8 X: -40.4 Y: 1.4 Z: -1089.0 00:46:58 (UTC)
40 Rodrigo Angeloni Collision with environment 12.3 X: -0.9 Y: -0.2 Z: 2.8 X: -90.7 Y: 1.8 Z: -368.8 00:48:33 (UTC)
41 MAPSO GPT Collision with environment 3.6 X: -1.0 Y: 0.3 Z: 1.5 X: 41.0 Y: 2.4 Z: 278.1 00:49:08 (UTC)
42 Rodrigo Angeloni Collision with environment 27.2 X: 0.9 Y: -0.1 Z: -1.7 X: 74.0 Y: 2.0 Z: 845.2 00:49:23 (UTC)
43 Rodrigo Angeloni Collision with environment 11.4 X: 0.9 Y: -0.2 Z: 2.8 X: -13.0 Y: 1.4 Z: -1085.9 00:50:33 (UTC)
44 Rodrigo Angeloni Collision with environment 32.7 X: 0.9 Y: 0.3 Z: 1.7 X: 68.4 Y: 2.3 Z: 855.6 00:51:13 (UTC)
45 Rodrigo Angeloni Collision with environment 78.1 X: -0.8 Y: -0.0 Z: 2.7 X: 401.8 Y: 2.2 Z: 1613.4 00:55:53 (UTC)
46 Rodrigo Angeloni Collision with environment 1.7 X: 1.0 Y: 0.3 Z: 1.5 X: 33.1 Y: 2.4 Z: -640.8 00:56:48 (UTC)
47 MAPSO GPT Collision with environment 2.8 X: -1.0 Y: -0.1 Z: 1.5 X: 36.6 Y: 2.0 Z: 253.8 00:57:58 (UTC)
48 Rodrigo Angeloni Collision with environment 136.0 X: -0.9 Y: -0.0 Z: 2.8 X: -93.1 Y: 2.0 Z: -511.9 00:59:53 (UTC)
49 MAPSO GPT Collision with environment 181.5 X: -0.8 Y: -0.1 Z: 2.7 X: 72.0 Y: 2.0 Z: 520.6 00:59:58 (UTC)
50 Rodrigo Angeloni Collision with environment 234.6 X: 0.8 Y: -0.1 Z: 2.7 X: -102.6 Y: 2.0 Z: -34.0 01:00:03 (UTC)
51 Rodrigo Angeloni Collision with environment 3.4 X: -1.0 Y: 0.3 Z: 1.5 X: -114.6 Y: 2.4 Z: 77.3 01:00:08 (UTC)
52 Tomas Giometti Collision with environment 6.2 X: -0.9 Y: 0.3 Z: -1.7 X: -82.4 Y: 2.3 Z: 180.2 01:01:10 (UTC)
53 MAPSO GPT Collision with environment 11.2 X: -0.9 Y: -0.2 Z: 2.8 X: 53.9 Y: 1.9 Z: 354.0 01:01:43 (UTC)
54 Tomas Giometti Collision with environment 26.0 X: 0.9 Y: 0.3 Z: -1.7 X: -71.1 Y: 2.3 Z: -1.8 01:02:15 (UTC)
55 Tomas Giometti Collision with environment 8.2 X: -0.9 Y: 0.3 Z: -1.7 X: 0.9 Y: 2.3 Z: 365.5 01:03:05 (UTC)
56 Tomas Giometti Collision with environment 7.7 X: -1.0 Y: -0.1 Z: 1.5 X: 393.9 Y: 2.0 Z: 1581.8 01:03:30 (UTC)
57 MAPSO GPT Collision with environment 19.1 X: -0.9 Y: -0.2 Z: 2.8 X: 163.6 Y: 1.8 Z: 816.3 01:03:33 (UTC)
Car Env Rel
Jeddah 2024 - Saudi Arabian Grand Prix Jeddah 2024 - Saudi Arabian Grand Prix collisions

There were no penalties in this session.

1st Rodrigo Angeloni in Lotus Exos 125 Stage 1
Best: 01:46.602, Potential: 01:46.084
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 03:58.407 02:37.321 00:34.051 00:47.035 3 SS 36.0 25.0 12.0 35.0
2 01:51.280 00:33.943 00:32.854 00:44.483 0 SS 36.0 25.0 12.0 35.0
3 01:47.933 00:32.495 00:31.932 00:43.506 0 SS 36.0 25.0 12.0 35.0
4 01:49.362
C
00:32.623 00:32.139 00:44.600 4 SS 36.0 25.0 12.0 35.0
5 02:38.166 01:22.610 00:30.947 00:44.609 2 SS 36.0 25.0 12.0 35.0
6 01:46.276
C
00:31.094 00:31.141 00:44.041 2 SS 36.0 25.0 12.0 35.0
7 01:47.934
C
00:31.105 00:32.202 00:44.627 2 SS 36.0 25.0 12.0 35.0
8 03:29.884 02:12.250 00:32.949 00:44.685 1 M 36.0 25.0 12.0 35.0
9 01:46.781 00:31.956
S
S
00:31.571 00:43.254 0 M 36.0 25.0 12.0 35.0
10 01:46.540
C
00:32.394 00:31.518 00:42.628 2 M 36.0 25.0 12.0 35.0
11 01:47.024
C
00:31.236 00:33.128 00:42.660 1 M 36.0 25.0 12.0 35.0
12 06:46.330 05:31.787 00:31.807 00:42.736
S
S
0 M 36.0 25.0 12.0 35.0
13 01:46.602
L
L
00:32.271 00:31.392
S
S
00:42.939 0 M 36.0 25.0 12.0 35.0
14 01:47.603 00:32.435 00:32.077 00:43.091 0 M 36.0 25.0 12.0 35.0
15 01:48.651
C
00:31.854 00:33.012 00:43.785 1 M 36.0 25.0 12.0 35.0
16 01:47.783
C
00:32.278 00:32.045 00:43.460 1 M 36.0 25.0 12.0 35.0
17 01:48.718 00:33.068 00:32.616 00:43.034 0 M 36.0 25.0 12.0 35.0
18 07:19.210 06:04.830 00:31.401 00:42.979 0 M 36.0 25.0 12.0 35.0
2nd MAPSO GPT in Lotus Exos 125 Stage 1
Best: 02:11.366, Potential: 02:08.542
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 03:34.489
C
02:08.346 00:36.895 00:49.248 2 SS 36.0 25.0 12.0 35.0
2 02:08.615
C
00:40.861 00:37.449 00:50.305 2 SS 36.0 25.0 12.0 35.0
3 04:44.394
C
03:11.522 00:39.245 00:53.627 2 SS 36.0 25.0 12.0 35.0
4 06:00.315 04:30.548 00:37.967
S
00:51.800
S
0 WET 36.0 25.0 12.0 35.0
5 02:09.158
C
00:40.077 00:39.528 00:49.553 1 WET 36.0 25.0 12.0 35.0
6 02:11.366
L
00:38.775
S
00:39.545 00:53.046 0 WET 36.0 25.0 12.0 35.0
7 08:49.621 07:18.204 00:38.924 00:52.493 0 SS 36.0 25.0 12.0 35.0
3rd Tomas Giometti 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 Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:13.129 00:55.517 00:33.876 00:43.736 1 S 36.0 25.0 12.0 35.0
2 05:05.834 03:46.239 00:36.162 00:43.433 3 SS 36.0 25.0 12.0 35.0
3 01:49.654 00:33.032 00:32.616 00:44.006 2 SS 36.0 25.0 12.0 35.0
4 01:50.651 00:33.130 00:32.976 00:44.545 3 SS 36.0 25.0 12.0 35.0
5 33:21.832 31:33.396 00:53.145 00:55.291 3 M 36.0 25.0 12.0 35.0
6 02:35.229 01:15.849 00:33.326 00:46.054 4 M 36.0 25.0 12.0 35.0
7 02:00.780 00:34.361 00:34.250 00:52.169 2 M 36.0 25.0 12.0 35.0
8 01:52.126 00:35.450 00:33.588 00:43.088 2 M 36.0 25.0 12.0 35.0
9 01:56.686 00:37.391 00:33.998 00:45.297 4 M 36.0 25.0 12.0 35.0