1 |
26 |
A. Crepaldi | UCR |
|
Ferrari 296 GT3 2023 |
1:56.352 |
1:57.741 |
11 |
21:35.909 |
0.000 |
98.59% |
0 |
25 |
View Laps |
2 |
8 |
H. Santana | UCR |
|
BMW M4 GT3 2022 |
1:55.515 |
1:57.807 |
11 |
21:36.020 |
0:00.111 |
97.78% |
0 |
18 |
View Laps |
3 |
44 |
D. Silva | UCR |
|
Ford Mustang GT3 |
1:56.202 |
1:57.866 |
11 |
21:37.239 |
0:01.219 |
99.13% |
0 |
15 |
View Laps |
4 |
992 |
A. Watson |
|
Porsche 992 GT3 R 2023 |
1:57.657 |
1:59.191 |
11 |
21:52.662 |
0:15.423 |
99.80% |
0 |
12 |
View Laps |
5 |
23 |
P. Aguirre |
|
Nissan GT-R Nismo GT3 2018 |
1:58.120 |
1:59.956 |
11 |
22:01.010 |
0:08.348 |
99.59% |
0 |
10 |
View Laps |
6 |
999 |
=(_O_).^.(_O_)= |
|
Mercedes-AMG GT3 2020 |
35791:23.647 |
3:02.276 |
4 |
22:16.301 |
0:15.291 |
0.00% |
0 |
8 |
View Laps |
7 |
50 |
p. panico UCR |
|
BMW M4 GT3 2022 |
35791:23.647 |
0:00.000 |
0 |
35791:23.647 |
35769:07.346 |
0.00% |
0 |
6 |
View Laps |
8 |
99 |
=(_U_).^.(_U_)= |
|
Ferrari 296 GT3 2023 |
35791:23.647 |
0:00.000 |
0 |
35791:23.647 |
0:00.000 |
0.00% |
0 |
4 |
View Laps |