China Grand Prix 2024 normal

06 Dec 24 00:34 CST
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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 Lamborghini Huracan EVO2 DTM 02:01.237
Tyre: MS
02:06.277 46 laps / 16 cuts 7 - 37
2 BMW M4 DTM 02:02.523
Tyre: MS
02:03.991 30 laps / 18 cuts 14 - 186
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 31.6 X: -0.8 Y: 0.0 Z: 2.2 X: -452.2 Y: -2.6 Z: 186.0 21:11:08 (CST)
2 Collision with environment 30.0 X: 0.8 Y: 0.9 Z: -2.5 X: 45.5 Y: -1.8 Z: -214.9 21:41:38 (CST)
3 Collision with environment 71.2 X: 0.0 Y: 0.0 Z: 2.4 X: 22.8 Y: -3.0 Z: -149.5 22:07:33 (CST)
4 Collision with car 26.1 X: -1.0 Y: -0.1 Z: -1.0 X: 609.4 Y: -3.1 Z: 525.3 22:29:09 (CST)
5 Collision with car 20.5 X: 1.0 Y: -0.3 Z: 2.1 X: 609.3 Y: -3.3 Z: 525.3 22:29:11 (CST)
Car Env Rel
China Grand Prix 2024 normal China Grand Prix 2024 normal collisions

There were no penalties in this session.

1st ozzRzzo in Lamborghini Huracan EVO2 DTM
Best: 02:01.237, Potential: 02:00.581
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 06:00.055 04:42.363 00:47.249 00:30.443 0 MS 29.0 19.0 0.0 0.0
2 02:20.514 00:45.379 01:04.913 00:30.222 1 MS 29.0 19.0 0.0 0.0
3 02:02.242 00:44.694 00:47.168 00:30.380 0 MS 29.0 19.0 0.0 0.0
4 02:01.992 00:44.943 00:46.647 00:30.402 0 MS 29.0 19.0 0.0 0.0
5 02:01.927 00:44.874 00:46.818 00:30.235 0 MS 29.0 19.0 0.0 0.0
6 02:04.998 00:47.877 00:46.849 00:30.272 0 MS 29.0 19.0 0.0 0.0
7 02:01.815
C
00:44.945 00:46.895 00:29.975 1 MS 29.0 19.0 0.0 0.0
8 02:01.770
C
00:44.928 00:46.934 00:29.908 1 MS 29.0 19.0 0.0 0.0
9 02:06.423 00:44.680 00:46.971 00:34.772 0 MS 29.0 19.0 0.0 0.0
10 03:05.903 01:47.882 00:47.682 00:30.339 0 MS 29.0 19.0 0.0 0.0
11 02:02.974 00:45.052 00:47.066 00:30.856 0 MS 29.0 19.0 0.0 0.0
12 02:01.924 00:45.046 00:46.678 00:30.200 0 MS 29.0 19.0 0.0 0.0
13 02:05.308 00:44.889 00:46.781 00:33.638 0 MS 29.0 19.0 0.0 0.0
14 02:36.579 01:01.746 01:03.796 00:31.037 0 MS 29.0 19.0 0.0 0.0
15 02:07.799 00:48.784 00:48.991 00:30.024 1 MS 29.0 19.0 0.0 0.0
16 02:03.095 00:45.624 00:47.313 00:30.158 0 MS 29.0 19.0 0.0 0.0
17 02:06.524 00:48.963 00:47.115 00:30.446 1 MS 29.0 19.0 0.0 0.0
18 04:16.818 02:59.544 00:47.105 00:30.169 0 MS 29.0 19.0 0.0 0.0
19 02:02.386 00:44.757 00:47.326 00:30.303 0 MS 29.0 19.0 0.0 0.0
20 02:06.105
C
00:45.460 00:50.648 00:29.997 1 MS 29.0 19.0 0.0 0.0
21 02:03.867 00:44.982 00:48.519 00:30.366 0 MS 29.0 19.0 0.0 0.0
22 02:02.949 00:45.026 00:47.223 00:30.700 0 MS 29.0 19.0 0.0 0.0
23 02:02.562 00:44.959 00:46.562 00:31.041 0 MS 29.0 19.0 0.0 0.0
24 02:03.187
C
00:44.941 00:46.215 00:32.031 1 MS 29.0 19.0 0.0 0.0
25 02:01.767 00:44.947 00:46.868 00:29.952
S
S
0 MS 29.0 19.0 0.0 0.0
26 02:07.448 00:47.411 00:49.842 00:30.195 0 MS 29.0 19.0 0.0 0.0
27 02:01.237
L
L
00:44.539 00:46.453 00:30.245 0 MS 29.0 19.0 0.0 0.0
28 02:02.793 00:45.410 00:46.566 00:30.817 0 MS 29.0 19.0 0.0 0.0
29 05:20.557 04:03.049 00:46.787 00:30.721 0 MS 29.0 19.0 0.0 0.0
30 02:01.965 00:44.853 00:46.399 00:30.713 0 MS 29.0 19.0 0.0 0.0
31 02:01.261 00:44.675 00:46.405 00:30.181 0 MS 29.0 19.0 0.0 0.0
32 02:01.838 00:44.655 00:46.907 00:30.276 0 MS 29.0 19.0 0.0 0.0
33 02:50.885 01:33.665 00:46.972 00:30.248 1 MS 29.0 19.0 0.0 0.0
34 02:01.979 00:44.701 00:46.868 00:30.410 0 MS 29.0 19.0 0.0 0.0
35 02:02.281 00:44.904 00:46.849 00:30.528 0 MS 29.0 19.0 0.0 0.0
36 02:02.896 00:44.767 00:47.178 00:30.951 0 MS 29.0 19.0 0.0 0.0
37 03:52.898 02:24.996 00:48.267 00:39.635 2 MS 29.0 19.0 0.0 0.0
38 02:14.102 00:56.199 00:47.641 00:30.262 0 MS 29.0 19.0 0.0 0.0
39 02:01.584 00:44.777 00:46.175
S
S
00:30.632 0 MS 29.0 19.0 0.0 0.0
40 02:02.211 00:44.757 00:47.133 00:30.321 0 MS 29.0 19.0 0.0 0.0
41 02:05.779
C
00:44.712 00:48.501 00:32.566 2 MS 29.0 19.0 0.0 0.0
42 02:01.847 00:45.397 00:46.391 00:30.059 0 MS 29.0 19.0 0.0 0.0
43 02:18.062 00:49.588 00:58.567 00:29.907 3 MS 29.0 19.0 0.0 0.0
44 02:02.178 00:44.454
S
S
00:47.502 00:30.222 0 MS 29.0 19.0 0.0 0.0
45 02:02.089 00:44.558 00:47.120 00:30.411 0 MS 29.0 19.0 0.0 0.0
46 02:06.474 00:48.115 00:48.335 00:30.024 1 MS 29.0 19.0 0.0 0.0
2nd Hwangzhun in BMW M4 DTM
Best: 02:02.523, Potential: 02:02.378
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:43.765 01:25.618 00:47.587 00:30.560 0 MS 29.0 19.0 0.0 0.0
2 02:02.806
C
00:45.393 00:47.124 00:30.289 1 MS 29.0 19.0 0.0 0.0
3 02:12.368 00:54.649 00:47.047 00:30.672 2 MS 29.0 19.0 0.0 0.0
4 02:03.388 00:45.196 00:47.614 00:30.578 0 MS 29.0 19.0 0.0 0.0
5 02:04.053 00:45.883 00:47.542 00:30.628 1 MS 29.0 19.0 0.0 0.0
6 02:11.813 00:53.495 00:47.574 00:30.744 0 MS 29.0 19.0 0.0 0.0
7 02:03.577 00:45.250 00:47.277 00:31.050 0 MS 29.0 19.0 0.0 0.0
8 02:03.256 00:45.069 00:47.367 00:30.820 0 MS 29.0 19.0 0.0 0.0
9 02:03.269 00:45.347 00:47.359 00:30.563 0 MS 29.0 19.0 0.0 0.0
10 04:52.462 03:33.753 00:47.916 00:30.793 0 MS 29.0 19.0 0.0 0.0
11 02:03.450 00:45.343 00:47.623 00:30.484 0 MS 29.0 19.0 0.0 0.0
12 02:03.376 00:45.414 00:47.330 00:30.632 0 MS 29.0 19.0 0.0 0.0
13 02:03.049 00:45.010 00:47.686 00:30.353
S
0 MS 29.0 19.0 0.0 0.0
14 02:03.909 00:45.069 00:48.298 00:30.542 0 MS 29.0 19.0 0.0 0.0
15 02:03.507 00:45.566 00:47.336 00:30.605 0 MS 29.0 19.0 0.0 0.0
16 04:32.677 03:14.354 00:47.872 00:30.451 3 MS 29.0 19.0 0.0 0.0
17 02:03.107 00:45.275 00:47.142 00:30.690 0 MS 29.0 19.0 0.0 0.0
18 02:03.734
C
00:45.466 00:47.336 00:30.932 2 MS 29.0 19.0 0.0 0.0
19 02:05.998 00:45.034 00:50.351 00:30.613 1 MS 29.0 19.0 0.0 0.0
20 02:02.523
L
00:44.942
S
00:47.097 00:30.484 0 MS 29.0 19.0 0.0 0.0
21 08:25.853 07:06.248 00:48.564 00:31.041 1 MS 29.0 19.0 0.0 0.0
22 02:05.031 00:45.803 00:48.177 00:31.051 3 MS 29.0 19.0 0.0 0.0
23 04:48.459 03:20.754 00:56.160 00:31.545 1 MS 29.0 19.0 0.0 0.0
24 02:04.596 00:45.481 00:47.713 00:31.402 1 MS 29.0 19.0 0.0 0.0
25 02:04.046 00:45.292 00:47.597 00:31.157 0 MS 29.0 19.0 0.0 0.0
26 02:02.979 00:45.228 00:47.083
S
00:30.668 0 MS 29.0 19.0 0.0 0.0
27 12:34.033 11:15.103 00:47.722 00:31.208 1 MS 29.0 19.0 0.0 0.0
28 02:26.246 00:45.933 00:47.771 00:52.542 1 MS 29.0 19.0 0.0 0.0
29 02:05.152 00:45.974 00:48.335 00:30.843 0 MS 29.0 19.0 0.0 0.0
30 02:03.467 00:45.280 00:47.290 00:30.897 0 MS 29.0 19.0 0.0 0.0