CSP V3i

Practice 1 result



Game Assetto Corsa Competizione
Session Practice
Track silverstone_2019
Best lap jucie zanine (01:59.1000)
Lasted laps 25
Host Unknown
Pos Driver Vehicle Laps Best lap Gap
1 jucie zanine Car model 22 25 01:59.1000 -
2 Aldo Giani Godoy Car model 23 14 01:59.8830 00:00.7830
3 Alexandre Androcioli Car model 23 7 02:00.4890 00:01.3890
4 Francis Hartstein Car model 2 17 02:04.1700 00:05.0700
5 Edson Archela Car model 22 0 - -
6 Murilo Assenato Car model 22 0 - -
7 Walter Rubens Car model 13 0 - -
8 Walter Rubens Car model 6 0 - -
9 Paulo Preto Car model 1 0 - -
10 Walter Rubens Car model 21 0 - -
11 Renan Carlos Car model 8 0 - -
12 Janes Junior Car model 2 0 - -
13 Allan Hellmann Car model 8 0 - -
14 Paulo Wesley Car model 17 0 - -
15 Tony Gleibson Car model 8 0 - -
16 Walter Rubens Car model 20 0 - -
17 Nilson Porto BR Car model 19 0 - -
18 Andre Penedo Car model 20 0 - -
19 Beto Dalla Stella Car model 16 0 - -
20 Janes Junior Car model 21 0 - -
21 Aldo Giani Godoy Car model 7 0 - -
22 Michel Andrade Car model 19 0 - -
23 Emerson Renato Car model 20 0 - -
24 Sergio Caramalaki Car model 8 0 - -
25 Douglas Simoneli Car model 21 0 - -
26 Ricardo Binda Car model 2 0 - -
27 Janes Junior Car model 16 0 - -
28 Marcelo Castro Car model 19 0 - -
29 Lucas Araujo Car model 1 0 - -
30 Wagner Paim Car model 16 0 - -
31 Michel Gico Car model 1 0 - -
32 Marcelo Machado Car model 22 2 - -
33 Luiz Zani Car model 19 0 - -
34 Luiz Zani Car model 20 0 - -
35 Sanfre Escofil Car model 6 0 - -
36 Lucas Matheus Car model 23 0 - -
37 Vinicius Abel Car model 1 0 - -
38 Lucas Araujo Car model 2 0 - -
39 Tiago Costa Car model 2 0 - -
40 Luiz Zani Car model 2 0 - -
41 Nilson Porto BR Car model 1 0 - -
42 Luiz Zani Car model 6 0 - -
43 Luiz Zani Car model 22 0 - -
44 Edilson Medeiros Car model 21 0 - -
45 Andre Verdani Car model 16 0 - -
46 Andre Verdani Car model 23 0 - -

Practice 1 laps

Bad lap, 107% rule compared to the overall best lap of the session. Excludes first lap for race sessions
Personal best lap/sector
Overall best lap/sector for a lap
Overall best lap/sector for a lap and personal best lap/sector
Overall best lap/sector
(P) Pit lap
Lap Vehicle Time Sector 1 Sector 2 Sector 3
jucie zanine
1 Car model 22 - - - -
2 Car model 22 - - - -
3 Car model 22 01:59.5140 35.2980 50.5290 33.6870
4 Car model 22 - - - -
5 Car model 22 - - - -
6 Car model 22 - - - -
7 Car model 22 02:00.1170 35.4000 51.0450 33.6720
8 Car model 22 01:59.1000 35.4810 50.1150 33.5040
9 Car model 22 - - - -
10 Car model 22 02:01.9800 35.5530 50.6160 35.8110
11 Car model 22 - - - -
12 Car model 22 01:59.3970 35.4360 50.4450 33.5160
13 Car model 22 - - - -
14 Car model 22 01:59.2470 35.3880 50.2380 33.6210
15 Car model 22 - - - -
16 Car model 22 - - - -
17 Car model 22 - - - -
18 Car model 22 02:03.3210 36.0030 51.9780 35.3400
19 Car model 22 02:01.7520 36.0390 51.6990 34.0140
20 Car model 22 - - - -
21 Car model 22 02:01.1250 36.0540 50.8740 34.1970
22 Car model 22 02:02.2920 35.7090 51.5790 35.0040
23 Car model 22 - - - -
24 Car model 22 02:01.5930 36.0660 51.7290 33.7980
25 Car model 22 - - - -
Average   02:00.8580 35.6752 50.9861 34.1967
Best possible   01:58.9170 35.2980 50.1150 33.5040
Aldo Giani Godoy
1 Car model 23 - - - -
2 Car model 23 - - - -
3 Car model 23 - - - -
4 Car model 23 02:00.8130 36.0390 50.7870 33.9870
5 Car model 23 - - - -
6 Car model 23 02:01.1490 35.7990 51.3480 34.0020
7 Car model 23 02:00.7170 35.6670 51.0420 34.0080
8 Car model 23 - - - -
9 Car model 23 02:00.9540 35.7960 51.1350 34.0230
10 Car model 23 02:00.7110 35.5830 51.0930 34.0350
11 Car model 23 - - - -
12 Car model 23 02:00.0690 35.7090 50.5140 33.8460
13 Car model 23 02:00.1140 35.3280 50.5740 34.2120
14 Car model 23 01:59.8830 35.5530 50.4540 33.8760
Average   02:00.5513 35.6843 50.8684 33.9986
Best possible   01:59.6280 35.3280 50.4540 33.8460
Alexandre Androcioli
1 Car model 23 - - - -
2 Car model 23 02:00.4890 35.5230 50.6880 34.2780
3 Car model 23 02:00.8940 35.7810 50.8770 34.2360
4 Car model 23 - - - -
5 Car model 23 - - - -
6 Car model 23 02:00.9660 35.7780 50.7420 34.4460
7 Car model 23 - - - -
Average   02:00.7830 35.6940 50.7690 34.3200
Best possible   02:00.4470 35.5230 50.6880 34.2360
Francis Hartstein
1 Car model 2 - - - -
2 Car model 2 - - - -
3 Car model 2 - - - -
4 Car model 2 - - - -
5 Car model 2 - - - -
6 Car model 2 02:04.1700 36.1860 52.2180 35.7660
7 Car model 2 - - - -
8 Car model 2 02:04.8420 36.6450 53.0850 35.1120
9 Car model 2 - - - -
10 Car model 2 - - - -
11 Car model 2 - - - -
12 Car model 2 - - - -
13 Car model 2 - - - -
14 Car model 2 - - - -
15 Car model 2 - - - -
16 Car model 2 - - - -
17 Car model 2 - - - -
Average   02:04.5060 36.4155 52.6515 35.4390
Best possible   02:03.5160 36.1860 52.2180 35.1120
Edson Archela
No laps for this driver
Murilo Assenato
No laps for this driver
Walter Rubens
No laps for this driver
Walter Rubens
No laps for this driver
Paulo Preto
No laps for this driver
Walter Rubens
No laps for this driver
Renan Carlos
No laps for this driver
Janes Junior
No laps for this driver
Allan Hellmann
No laps for this driver
Paulo Wesley
No laps for this driver
Tony Gleibson
No laps for this driver
Walter Rubens
No laps for this driver
Nilson Porto BR
No laps for this driver
Andre Penedo
No laps for this driver
Beto Dalla Stella
No laps for this driver
Janes Junior
No laps for this driver
Aldo Giani Godoy
No laps for this driver
Michel Andrade
No laps for this driver
Emerson Renato
No laps for this driver
Sergio Caramalaki
No laps for this driver
Douglas Simoneli
No laps for this driver
Ricardo Binda
No laps for this driver
Janes Junior
No laps for this driver
Marcelo Castro
No laps for this driver
Lucas Araujo
No laps for this driver
Wagner Paim
No laps for this driver
Michel Gico
No laps for this driver
Marcelo Machado
1 Car model 22 - - - -
2 Car model 22 - - - -
Luiz Zani
No laps for this driver
Luiz Zani
No laps for this driver
Sanfre Escofil
No laps for this driver
Lucas Matheus
No laps for this driver
Vinicius Abel
No laps for this driver
Lucas Araujo
No laps for this driver
Tiago Costa
No laps for this driver
Luiz Zani
No laps for this driver
Nilson Porto BR
No laps for this driver
Luiz Zani
No laps for this driver
Luiz Zani
No laps for this driver
Edilson Medeiros
No laps for this driver
Andre Verdani
No laps for this driver
Andre Verdani
No laps for this driver

Practice 1 best laps

Overall top (20)
Driver Vehicle Time Gap
jucie zanine Car model 22 01:59.1000
jucie zanine Car model 22 01:59.2470 0.147
jucie zanine Car model 22 01:59.3970 0.297
jucie zanine Car model 22 01:59.5140 0.414
Aldo Giani Godoy Car model 23 01:59.8830 0.783
Aldo Giani Godoy Car model 23 02:00.0690 0.969
Aldo Giani Godoy Car model 23 02:00.1140 1.014
jucie zanine Car model 22 02:00.1170 1.017
Alexandre Androcioli Car model 23 02:00.4890 1.389
Aldo Giani Godoy Car model 23 02:00.7110 1.611
Aldo Giani Godoy Car model 23 02:00.7170 1.617
Aldo Giani Godoy Car model 23 02:00.8130 1.713
Alexandre Androcioli Car model 23 02:00.8940 1.794
Aldo Giani Godoy Car model 23 02:00.9540 1.854
Alexandre Androcioli Car model 23 02:00.9660 1.866
jucie zanine Car model 22 02:01.1250 2.025
Aldo Giani Godoy Car model 23 02:01.1490 2.049
jucie zanine Car model 22 02:01.5930 2.493
jucie zanine Car model 22 02:01.7520 2.652
jucie zanine Car model 22 02:01.9800 2.88
Per driver
Driver Vehicle Time Gap
jucie zanine Car model 22 01:59.1000
Aldo Giani Godoy Car model 23 01:59.8830 0.783
Alexandre Androcioli Car model 23 02:00.4890 1.389
Francis Hartstein Car model 2 02:04.1700 5.07

Practice 1 consistency

Driver Vehicle Consistency
Alexandre Androcioli Car model 23 99.63% <> 0.441
Francis Hartstein Car model 2 99.46% <> 0.672
Aldo Giani Godoy Car model 23 99.36% <> 0.7637
jucie zanine Car model 22 98.38% <> 1.9338
Andre Verdani Car model 16 -
Luiz Zani Car model 20 -
Janes Junior Car model 16 -
Marcelo Castro Car model 19 -
Lucas Araujo Car model 1 -
Wagner Paim Car model 16 -
Michel Gico Car model 1 -
Marcelo Machado Car model 22 -
Luiz Zani Car model 19 -
Sanfre Escofil Car model 6 -
Edilson Medeiros Car model 21 -
Lucas Matheus Car model 23 -
Ricardo Binda Car model 2 -
Lucas Araujo Car model 2 -
Tiago Costa Car model 2 -
Luiz Zani Car model 2 -
Nilson Porto BR Car model 1 -
Luiz Zani Car model 6 -
Luiz Zani Car model 22 -
Vinicius Abel Car model 1 -
Sergio Caramalaki Car model 8 -
Douglas Simoneli Car model 21 -
Allan Hellmann Car model 8 -
Edson Archela Car model 22 -
Murilo Assenato Car model 22 -
Walter Rubens Car model 13 -
Walter Rubens Car model 6 -
Paulo Preto Car model 1 -
Walter Rubens Car model 21 -
Renan Carlos Car model 8 -
Janes Junior Car model 2 -
Paulo Wesley Car model 17 -
Emerson Renato Car model 20 -
Tony Gleibson Car model 8 -
Walter Rubens Car model 20 -
Nilson Porto BR Car model 19 -
Andre Penedo Car model 20 -
Beto Dalla Stella Car model 16 -
Janes Junior Car model 21 -
Aldo Giani Godoy Car model 7 -
Michel Andrade Car model 19 -
Andre Verdani Car model 23 -

Practice 1 sectors

Sector 1
Driver Time Gap
jucie zanine 35.2980 -
Aldo Giani Godoy 35.3280 0.0300
Alexandre Androcioli 35.5230 0.2250
Francis Hartstein 36.1860 0.8880
Sector 2
Driver Time Gap
jucie zanine 50.1150 -
Aldo Giani Godoy 50.4540 0.3390
Alexandre Androcioli 50.6880 0.5730
Francis Hartstein 52.2180 2.1030
Sector 3
Driver Time Gap
jucie zanine 33.5040 -
Aldo Giani Godoy 33.8460 0.3420
Alexandre Androcioli 34.2360 0.7320
Francis Hartstein 35.1120 1.6080

Practice 2 result



Game Assetto Corsa Competizione
Session Practice
Track silverstone_2019
Best lap Nilson Porto BR (01:57.3900)
Lasted laps 61
Host Unknown
Pos Driver Vehicle Laps Best lap Gap
1 Nilson Porto BR Car model 19 22 01:57.3900 -
2 Lucas Araujo Car model 2 31 01:57.4320 00:00.0420
3 Ricardo Binda Car model 2 61 01:57.5430 00:00.1530
4 Lucas Matheus Car model 23 24 01:57.7440 00:00.3540
5 Lucas Araujo Car model 1 13 01:58.0440 00:00.6540
6 Luiz Zani Car model 20 14 01:58.1670 00:00.7770
7 Marcelo Machado Car model 22 38 01:58.3170 00:00.9270
8 Tiago Costa Car model 2 22 01:58.4790 00:01.0890
9 Luiz Zani Car model 2 7 01:58.7850 00:01.3950
10 Aldo Giani Godoy Car model 23 54 01:58.9770 00:01.5870
11 Paulo Preto Car model 1 48 01:59.0340 00:01.6440
12 Tony Gleibson Car model 8 21 01:59.0730 00:01.6830
13 Vinicius Abel Car model 1 17 01:59.1540 00:01.7640
14 jucie zanine Car model 22 52 01:59.2410 00:01.8510
15 Michel Gico Car model 1 23 01:59.2830 00:01.8930
16 Michel Andrade Car model 19 46 01:59.3160 00:01.9260
17 Luiz Zani Car model 6 3 01:59.5560 00:02.1660
18 Janes Junior Car model 2 30 01:59.7300 00:02.3400
19 Nilson Porto BR Car model 1 5 01:59.7480 00:02.3580
20 Andre Penedo Car model 20 25 01:59.8020 00:02.4120
21 Allan Hellmann Car model 8 18 01:59.9280 00:02.5380
22 Alexandre Androcioli Car model 23 10 02:00.0390 00:02.6490
23 Marcelo Castro Car model 19 16 02:00.5550 00:03.1650
24 Wagner Paim Car model 16 8 02:01.0200 00:03.6300
25 Sanfre Escofil Car model 6 5 02:01.3440 00:03.9540
26 Paulo Wesley Car model 17 39 02:02.0880 00:04.6980
27 Janes Junior Car model 16 10 02:02.1210 00:04.7310
28 Sergio Caramalaki Car model 8 17 02:03.4200 00:06.0300
29 Douglas Simoneli Car model 21 17 02:05.0130 00:07.6230
30 Andre Verdani Car model 16 0 - -
31 Edson Archela Car model 22 0 - -
32 Murilo Assenato Car model 22 0 - -
33 Walter Rubens Car model 13 0 - -
34 Walter Rubens Car model 21 0 - -
35 Renan Carlos Car model 8 0 - -
36 Walter Rubens Car model 6 0 - -
37 Emerson Renato Car model 20 0 - -
38 Aldo Giani Godoy Car model 7 0 - -
39 Luiz Zani Car model 19 1 - -
40 Janes Junior Car model 21 7 - -
41 Beto Dalla Stella Car model 16 0 - -
42 Walter Rubens Car model 20 0 - -
43 Edilson Medeiros Car model 21 0 - -
44 Luiz Zani Car model 22 1 - -

Practice 2 laps

Bad lap, 107% rule compared to the overall best lap of the session. Excludes first lap for race sessions
Personal best lap/sector
Overall best lap/sector for a lap
Overall best lap/sector for a lap and personal best lap/sector
Overall best lap/sector
(P) Pit lap
Lap Vehicle Time Sector 1 Sector 2 Sector 3
Nilson Porto BR
1 Car model 19 - - - -
2 Car model 19 02:01.7460 36.4350 51.2700 34.0410
3 Car model 19 02:00.3270 35.7450 50.7900 33.7920
4 Car model 19 01:59.5890 35.7120 50.0880 33.7890
5 Car model 19 01:59.0220 35.4750 49.8750 33.6720
6 Car model 19 - - - -
7 Car model 19 02:11.9460 38.0190 58.8540 35.0730
8 Car model 19 - - - -
9 Car model 19 02:00.0870 35.2500 50.5770 34.2600
10 Car model 19 02:00.7350 35.5140 51.1170 34.1040
11 Car model 19 02:03.5550 35.2920 54.0720 34.1910
12 Car model 19 - - - -
13 Car model 19 01:57.6660 34.8450 49.3710 33.4500
14 Car model 19 - - - -
15 Car model 19 01:58.5810 34.9830 50.1840 33.4140
16 Car model 19 - - - -
17 Car model 19 01:57.3900 34.6860 49.3590 33.3450
18 Car model 19 - - - -
19 Car model 19 - - - -
20 Car model 19 - - - -
21 Car model 19 - - - -
22 Car model 19 - - - -
Average   02:00.9677 35.6324 51.4143 33.9210
Best possible   01:57.3900 34.6860 49.3590 33.3450
Lucas Araujo
1 Car model 2 - - - -
2 Car model 2 02:00.1890 35.5890 50.6910 33.9090
3 Car model 2 - - - -
4 Car model 2 - - - -
5 Car model 2 - - - -
6 Car model 2 - - - -
7 Car model 2 01:58.8960 35.2080 50.0040 33.6840
8 Car model 2 01:58.4490 34.8960 50.0790 33.4740
9 Car model 2 - - - -
10 Car model 2 - - - -
11 Car model 2 01:58.3320 35.1210 49.5630 33.6480
12 Car model 2 01:58.3290 35.1720 49.5600 33.5970
13 Car model 2 01:57.7050 35.0100 49.2420 33.4530
14 Car model 2 - - - -
15 Car model 2 - - - -
16 Car model 2 01:57.6210 34.7340 49.3050 33.5820
17 Car model 2 - - - -
18 Car model 2 01:57.5010 34.6950 49.3530 33.4530
19 Car model 2 02:08.3010 36.9900 54.9990 36.3120
20 Car model 2 01:58.3200 34.8090 49.4490 34.0620
21 Car model 2 - - - -
22 Car model 2 - - - -
23 Car model 2 - - - -
24 Car model 2 - - - -
25 Car model 2 01:59.0610 35.0040 49.1430 34.9140
26 Car model 2 - - - -
27 Car model 2 - - - -
28 Car model 2 01:57.4320 34.6860 49.2870 33.4590
29 Car model 2 - - - -
30 Car model 2 01:57.4860 34.7850 49.2660 33.4350
31 Car model 2 - - - -
Average   01:59.0479 35.1307 49.9955 33.9217
Best possible   01:57.2640 34.6860 49.1430 33.4350
Ricardo Binda
1 Car model 2 - - - -
2 Car model 2 02:10.8330 36.5700 59.9700 34.2930
3 Car model 2 - - - -
4 Car model 2 02:01.9560 35.8350 51.7020 34.4190
5 Car model 2 02:01.7820 36.2190 51.5340 34.0290
6 Car model 2 02:01.3110 35.7990 51.2610 34.2510
7 Car model 2 02:01.3980 35.7990 51.3480 34.2510
8 Car model 2 02:01.2900 35.9730 51.3690 33.9480
9 Car model 2 02:00.7920 35.5770 50.7480 34.4670
10 Car model 2 02:01.2000 35.7990 50.9160 34.4850
11 Car model 2 - - - -
12 Car model 2 02:00.7950 35.7210 50.9640 34.1100
13 Car model 2 02:01.1190 35.7000 51.0120 34.4070
14 Car model 2 - - - -
15 Car model 2 - - - -
16 Car model 2 02:00.6450 35.6040 50.7270 34.3140
17 Car model 2 - - - -
18 Car model 2 02:01.1760 35.7180 51.2850 34.1730
19 Car model 2 02:01.0110 35.6310 51.0120 34.3680
20 Car model 2 02:01.3350 36.0900 50.9820 34.2630
21 Car model 2 02:00.3690 35.4900 50.8290 34.0500
22 Car model 2 - - - -
23 Car model 2 02:01.6950 35.9790 51.8310 33.8850
24 Car model 2 02:00.0570 35.4930 50.7390 33.8250
25 Car model 2 - - - -
26 Car model 2 01:58.7310 35.0910 50.1090 33.5310
27 Car model 2 - - - -
28 Car model 2 01:58.8900 35.0310 50.3340 33.5250
29 Car model 2 - - - -
30 Car model 2 - - - -
31 Car model 2 02:05.9610 35.5620 53.1150 37.2840
32 Car model 2 01:59.0040 35.1870 50.2110 33.6060
33 Car model 2 - - - -
34 Car model 2 01:58.7070 34.9620 50.2590 33.4860
35 Car model 2 01:58.5090 35.2020 49.8570 33.4500
36 Car model 2 - - - -
37 Car model 2 - - - -
38 Car model 2 01:57.9840 34.8480 49.8180 33.3180
39 Car model 2 02:02.8620 38.0040 50.3610 34.4970
40 Car model 2 - - - -
41 Car model 2 01:58.1280 35.0370 49.7010 33.3900
42 Car model 2 01:57.9780 34.9020 49.7670 33.3090
43 Car model 2 01:57.8130 34.9170 49.5600 33.3360
44 Car model 2 - - - -
45 Car model 2 - - - -
46 Car model 2 - - - -
47 Car model 2 01:58.4820 34.9230 49.7040 33.8550
48 Car model 2 - - - -
49 Car model 2 - - - -
50 Car model 2 01:58.7400 35.0190 49.6680 34.0530
51 Car model 2 02:01.6440 34.8600 49.8060 36.9780
52 Car model 2 01:58.3170 34.9800 49.7130 33.6240
53 Car model 2 - - - -
54 Car model 2 01:57.5430 34.8390 49.3770 33.3270
55 Car model 2 01:57.9300 34.6590 49.4820 33.7890
56 Car model 2 - - - -
57 Car model 2 - - - -
58 Car model 2 01:57.8520 34.8000 49.5300 33.5220
59 Car model 2 - - - -
60 Car model 2 - - - -
61 Car model 2 01:57.8940 34.9200 49.5870 33.3870
Average   02:00.3259 35.4650 50.7830 34.0779
Best possible   01:57.3450 34.6590 49.3770 33.3090
Lucas Matheus
1 Car model 23 - - - -
2 Car model 23 01:59.9280 35.7570 50.0520 34.1190
3 Car model 23 - - - -
4 Car model 23 01:58.7040 35.3670 49.7760 33.5610
5 Car model 23 - - - -
6 Car model 23 - - - -
7 Car model 23 - - - -
8 Car model 23 01:58.5090 35.2500 49.7460 33.5130
9 Car model 23 01:58.1400 35.0550 49.7430 33.3420
10 Car model 23 - - - -
11 Car model 23 - - - -
12 Car model 23 01:58.2510 35.0940 49.8030 33.3540
13 Car model 23 - - - -
14 Car model 23 - - - -
15 Car model 23 - - - -
16 Car model 23 - - - -
17 Car model 23 01:58.6860 35.2680 49.8120 33.6060
18 Car model 23 - - - -
19 Car model 23 01:58.2990 34.9230 49.6320 33.7440
20 Car model 23 01:58.1580 34.8540 49.7760 33.5280
21 Car model 23 01:57.7440 34.7820 49.5510 33.4110
22 Car model 23 - - - -
23 Car model 23 01:59.8140 35.7180 50.1600 33.9360
24 Car model 23 01:59.5440 35.4930 50.3490 33.7020
Average   01:58.7069 35.2328 49.8545 33.6196
Best possible   01:57.6750 34.7820 49.5510 33.3420
Lucas Araujo
1 Car model 1 - - - -
2 Car model 1 02:00.7050 35.5530 51.0450 34.1070
3 Car model 1 01:59.9970 35.4660 50.7390 33.7920
4 Car model 1 - - - -
5 Car model 1 02:00.0390 35.3910 50.8080 33.8400
6 Car model 1 - - - -
7 Car model 1 - - - -
8 Car model 1 01:59.1360 35.3370 50.1570 33.6420
9 Car model 1 01:59.3040 35.1420 50.3670 33.7950
10 Car model 1 01:58.9980 35.1210 50.2410 33.6360
11 Car model 1 - - - -
12 Car model 1 - - - -
13 Car model 1 01:58.0440 35.0580 49.6620 33.3240
Average   01:59.4604 35.2954 50.4313 33.7337
Best possible   01:58.0440 35.0580 49.6620 33.3240
Luiz Zani
1 Car model 20 - - - -
2 Car model 20 02:00.1020 35.4390 50.8590 33.8040
3 Car model 20 - - - -
4 Car model 20 01:59.3640 35.2920 50.1690 33.9030
5 Car model 20 - - - -
6 Car model 20 01:59.4060 35.5230 50.1750 33.7080
7 Car model 20 - - - -
8 Car model 20 01:58.5870 34.9890 50.0250 33.5730
9 Car model 20 - - - -
10 Car model 20 - - - -
11 Car model 20 - - - -
12 Car model 20 - - - -
13 Car model 20 01:58.5960 34.9110 50.0700 33.6150
14 Car model 20 01:58.1670 34.7760 49.8420 33.5490
Average   01:59.0370 35.1550 50.1900 33.6920
Best possible   01:58.1670 34.7760 49.8420 33.5490
Marcelo Machado
1 Car model 22 - - - -
2 Car model 22 02:00.3600 35.2860 50.9370 34.1370
3 Car model 22 - - - -
4 Car model 22 - - - -
5 Car model 22 - - - -
6 Car model 22 - - - -
7 Car model 22 01:58.9170 35.2200 50.0430 33.6540
8 Car model 22 - - - -
9 Car model 22 01:59.1090 34.8660 50.0940 34.1490
10 Car model 22 01:59.4360 35.0430 50.2500 34.1430
11 Car model 22 - - - -
12 Car model 22 - - - -
13 Car model 22 - - - -
14 Car model 22 - - - -
15 Car model 22 - - - -
16 Car model 22 - - - -
17 Car model 22 - - - -
18 Car model 22 - - - -
19 Car model 22 - - - -
20 Car model 22 - - - -
21 Car model 22 01:58.3170 34.6320 50.0220 33.6630
22 Car model 22 01:59.8560 35.4000 50.4360 34.0200
23 Car model 22 - - - -
24 Car model 22 - - - -
25 Car model 22 01:59.5500 35.2140 50.5200 33.8160
26 Car model 22 - - - -
27 Car model 22 01:58.7880 34.7250 50.1240 33.9390
28 Car model 22 - - - -
29 Car model 22 - - - -
30 Car model 22 - - - -
31 Car model 22 01:59.9850 35.4330 50.6160 33.9360
32 Car model 22 - - - -
33 Car model 22 - - - -
34 Car model 22 01:59.8410 35.0040 50.6670 34.1700
35 Car model 22 02:00.0150 35.2410 50.6640 34.1100
36 Car model 22 - - - -
37 Car model 22 02:01.2330 35.9850 50.7900 34.4580
38 Car model 22 01:59.9670 35.1750 50.7480 34.0440
Average   01:59.6442 35.1711 50.4547 34.0184
Best possible   01:58.3080 34.6320 50.0220 33.6540
Tiago Costa
1 Car model 2 - - - -
2 Car model 2 - - - -
3 Car model 2 01:58.4790 35.1240 49.8540 33.5010
4 Car model 2 02:00.0180 35.2950 50.5770 34.1460
5 Car model 2 - - - -
6 Car model 2 - - - -
7 Car model 2 01:58.6590 35.2110 49.8030 33.6450
8 Car model 2 - - - -
9 Car model 2 - - - -
10 Car model 2 - - - -
11 Car model 2 - - - -
12 Car model 2 - - - -
13 Car model 2 01:59.3340 35.2230 50.2950 33.8160
14 Car model 2 - - - -
15 Car model 2 - - - -
16 Car model 2 - - - -
17 Car model 2 01:59.3400 35.4390 50.0340 33.8670
18 Car model 2 - - - -
19 Car model 2 - - - -
20 Car model 2 - - - -
21 Car model 2 - - - -
22 Car model 2 01:58.9380 35.1600 49.9440 33.8340
Average   01:59.1280 35.2420 50.0845 33.8015
Best possible   01:58.4280 35.1240 49.8030 33.5010
Luiz Zani
1 Car model 2 - - - -
2 Car model 2 - - - -
3 Car model 2 01:58.7850 34.9620 49.9290 33.8940
4 Car model 2 - - - -
5 Car model 2 - - - -
6 Car model 2 01:58.8330 34.8420 50.1690 33.8220
7 Car model 2 - - - -
Average   01:58.8090 34.9020 50.0490 33.8580
Best possible   01:58.5930 34.8420 49.9290 33.8220
Aldo Giani Godoy
1 Car model 23 - - - -
2 Car model 23 - - - -
3 Car model 23 - - - -
4 Car model 23 02:01.7610 35.9670 51.5310 34.2630
5 Car model 23 02:01.9260 36.2430 51.5130 34.1700
6 Car model 23 02:01.4370 35.9580 51.4050 34.0740
7 Car model 23 - - - -
8 Car model 23 02:05.7540 39.2970 52.0110 34.4460
9 Car model 23 02:01.4130 36.0870 51.2790 34.0470
10 Car model 23 - - - -
11 Car model 23 02:01.2810 36.0420 51.1890 34.0500
12 Car model 23 - - - -
13 Car model 23 - - - -
14 Car model 23 02:00.5520 35.5410 51.1380 33.8730
15 Car model 23 02:00.6780 35.6550 51.0360 33.9870
16 Car model 23 02:01.2540 35.8680 51.0360 34.3500
17 Car model 23 - - - -
18 Car model 23 02:00.9000 35.7660 50.9610 34.1730
19 Car model 23 02:01.5870 35.9730 51.4650 34.1490
20 Car model 23 02:01.3410 35.8950 51.3330 34.1130
21 Car model 23 02:01.3110 35.8590 51.5460 33.9060
22 Car model 23 02:01.6140 35.8470 51.1020 34.6650
23 Car model 23 - - - -
24 Car model 23 02:00.8310 36.4230 50.4960 33.9120
25 Car model 23 02:00.4380 35.7570 50.8410 33.8400
26 Car model 23 01:59.9130 35.5260 50.6340 33.7530
27 Car model 23 - - - -
28 Car model 23 02:00.5070 35.7990 50.9340 33.7740
29 Car model 23 02:00.7050 35.6010 51.1110 33.9930
30 Car model 23 01:59.7390 35.5980 50.3010 33.8400
31 Car model 23 02:00.7680 35.8260 50.9280 34.0140
32 Car model 23 - - - -
33 Car model 23 02:00.7860 35.9610 50.8830 33.9420
34 Car model 23 01:59.9550 35.5170 50.5170 33.9210
35 Car model 23 - - - -
36 Car model 23 - - - -
37 Car model 23 02:00.6630 35.7210 50.9100 34.0320
38 Car model 23 02:00.4710 35.7390 50.7360 33.9960
39 Car model 23 01:59.6730 35.3160 50.4660 33.8910
40 Car model 23 - - - -
41 Car model 23 - - - -
42 Car model 23 01:59.2380 35.3460 50.3160 33.5760
43 Car model 23 - - - -
44 Car model 23 02:00.1230 35.7420 50.6010 33.7800
45 Car model 23 01:59.9160 35.6880 50.5020 33.7260
46 Car model 23 02:00.1110 36.1020 50.3820 33.6270
47 Car model 23 - - - -
48 Car model 23 02:00.3180 35.6280 50.8200 33.8700
49 Car model 23 - - - -
50 Car model 23 02:00.5910 35.9490 50.6880 33.9540
51 Car model 23 - - - -
52 Car model 23 - - - -
53 Car model 23 01:59.5830 35.4900 50.3940 33.6990
54 Car model 23 01:58.9770 34.9800 50.1480 33.8490
Average   02:00.7681 35.8737 50.9163 33.9781
Best possible   01:58.7040 34.9800 50.1480 33.5760
Paulo Preto
1 Car model 1 - - - -
2 Car model 1 02:01.7280 36.4110 51.0690 34.2480
3 Car model 1 02:01.8630 36.1350 51.7530 33.9750
4 Car model 1 - - - -
5 Car model 1 02:01.2480 35.7060 51.2790 34.2630
6 Car model 1 - - - -
7 Car model 1 02:00.7620 35.6040 51.0870 34.0710
8 Car model 1 - - - -
9 Car model 1 02:01.0200 35.6220 51.0780 34.3200
10 Car model 1 02:01.4820 35.8920 51.5250 34.0650
11 Car model 1 - - - -
12 Car model 1 - - - -
13 Car model 1 02:01.5630 35.9490 51.0990 34.5150
14 Car model 1 02:01.1010 35.5590 51.2850 34.2570
15 Car model 1 02:01.9560 35.7210 52.0080 34.2270
16 Car model 1 02:00.8820 35.6610 51.0030 34.2180
17 Car model 1 - - - -
18 Car model 1 - - - -
19 Car model 1 02:01.1160 35.9670 51.0780 34.0710
20 Car model 1 - - - -
21 Car model 1 02:00.6240 35.5140 51.0960 34.0140
22 Car model 1 - - - -
23 Car model 1 - - - -
24 Car model 1 - - - -
25 Car model 1 - - - -
26 Car model 1 - - - -
27 Car model 1 01:59.9790 35.7450 50.4780 33.7560
28 Car model 1 01:59.9340 35.6820 50.5050 33.7470
29 Car model 1 01:59.7240 35.2380 50.6310 33.8550
30 Car model 1 - - - -
31 Car model 1 - - - -
32 Car model 1 01:59.2410 35.2500 50.4480 33.5430
33 Car model 1 - - - -
34 Car model 1 01:59.5740 35.5200 50.4240 33.6300
35 Car model 1 01:59.5740 35.1930 50.3640 34.0170
36 Car model 1 - - - -
37 Car model 1 01:59.7300 35.4000 50.6460 33.6840
38 Car model 1 - - - -
39 Car model 1 - - - -
40 Car model 1 01:59.0880 35.2110 50.2230 33.6540
41 Car model 1 - - - -
42 Car model 1 01:59.5200 35.3670 50.5080 33.6450
43 Car model 1 01:59.0340 35.4060 50.0520 33.5760
44 Car model 1 01:59.3040 35.2860 50.3850 33.6330
45 Car model 1 01:59.5830 35.1300 50.4810 33.9720
46 Car model 1 - - - -
47 Car model 1 01:59.9670 35.7450 50.6010 33.6210
48 Car model 1 - - - -
Average   02:00.3839 35.5966 50.8442 33.9431
Best possible   01:58.7250 35.1300 50.0520 33.5430
Tony Gleibson
1 Car model 8 - - - -
2 Car model 8 01:59.8020 35.2920 50.5380 33.9720
3 Car model 8 01:59.5320 35.3520 50.3820 33.7980
4 Car model 8 01:59.2110 35.3940 50.1060 33.7110
5 Car model 8 01:59.7210 35.1120 50.4480 34.1610
6 Car model 8 - - - -
7 Car model 8 - - - -
8 Car model 8 - - - -
9 Car model 8 - - - -
10 Car model 8 01:59.3790 35.3490 50.2260 33.8040
11 Car model 8 - - - -
12 Car model 8 - - - -
13 Car model 8 01:59.3430 35.2050 50.3520 33.7860
14 Car model 8 01:59.0730 34.9740 50.2710 33.8280
15 Car model 8 01:59.1960 35.1990 50.3070 33.6900
16 Car model 8 - - - -
17 Car model 8 01:59.4900 34.9800 50.3250 34.1850
18 Car model 8 - - - -
19 Car model 8 01:59.7480 35.1450 50.3430 34.2600
20 Car model 8 - - - -
21 Car model 8 - - - -
Average   01:59.4495 35.2002 50.3298 33.9195
Best possible   01:58.7700 34.9740 50.1060 33.6900
Vinicius Abel
1 Car model 1 - - - -
2 Car model 1 02:02.0880 36.0090 51.6090 34.4700
3 Car model 1 02:00.0930 35.4090 50.5560 34.1280
4 Car model 1 - - - -
5 Car model 1 01:59.1540 34.8810 50.5110 33.7620
6 Car model 1 - - - -
7 Car model 1 02:01.9140 35.2350 51.6480 35.0310
8 Car model 1 - - - -
9 Car model 1 - - - -
10 Car model 1 - - - -
11 Car model 1 - - - -
12 Car model 1 - - - -
13 Car model 1 - - - -
14 Car model 1 01:59.8680 35.1990 50.8140 33.8550
15 Car model 1 - - - -
16 Car model 1 02:02.3460 36.5430 51.4560 34.3470
17 Car model 1 02:00.7530 35.7420 50.8530 34.1580
Average   02:00.8880 35.5740 51.0639 34.2501
Best possible   01:59.1540 34.8810 50.5110 33.7620
jucie zanine
1 Car model 22 - - - -
2 Car model 22 - - - -
3 Car model 22 - - - -
4 Car model 22 02:01.8900 35.9370 51.6570 34.2960
5 Car model 22 02:02.8980 35.8350 52.3950 34.6680
6 Car model 22 - - - -
7 Car model 22 02:04.6290 36.3420 52.9620 35.3250
8 Car model 22 - - - -
9 Car model 22 - - - -
10 Car model 22 - - - -
11 Car model 22 - - - -
12 Car model 22 02:02.1450 35.7150 51.9060 34.5240
13 Car model 22 - - - -
14 Car model 22 - - - -
15 Car model 22 02:02.5140 35.8230 52.2000 34.4910
16 Car model 22 - - - -
17 Car model 22 02:01.1520 35.6130 51.6000 33.9390
18 Car model 22 02:01.0380 35.6130 51.4290 33.9960
19 Car model 22 - - - -
20 Car model 22 - - - -
21 Car model 22 - - - -
22 Car model 22 - - - -
23 Car model 22 - - - -
24 Car model 22 - - - -
25 Car model 22 - - - -
26 Car model 22 - - - -
27 Car model 22 02:01.1160 35.9430 50.9790 34.1940
28 Car model 22 - - - -
29 Car model 22 02:02.4960 35.8770 52.2630 34.3560
30 Car model 22 - - - -
31 Car model 22 02:01.3470 35.9430 51.1080 34.2960
32 Car model 22 02:00.8880 35.6340 50.9340 34.3200
33 Car model 22 - - - -
34 Car model 22 - - - -
35 Car model 22 - - - -
36 Car model 22 - - - -
37 Car model 22 - - - -
38 Car model 22 - - - -
39 Car model 22 - - - -
40 Car model 22 02:01.2390 35.8170 51.3510 34.0710
41 Car model 22 02:00.9180 35.7810 51.2370 33.9000
42 Car model 22 - - - -
43 Car model 22 02:01.4040 36.1740 51.2070 34.0230
44 Car model 22 - - - -
45 Car model 22 - - - -
46 Car model 22 02:00.3870 35.6370 51.0780 33.6720
47 Car model 22 02:00.1050 35.7810 50.5830 33.7410
48 Car model 22 01:59.2410 35.6010 50.0640 33.5760
49 Car model 22 - - - -
50 Car model 22 02:00.2940 35.4990 50.9010 33.8940
51 Car model 22 - - - -
52 Car model 22 - - - -
Average   02:01.4278 35.8092 51.4363 34.1823
Best possible   01:59.1390 35.4990 50.0640 33.5760
Michel Gico
1 Car model 1 - - - -
2 Car model 1 - - - -
3 Car model 1 01:59.8980 35.4210 50.8050 33.6720
4 Car model 1 - - - -
5 Car model 1 - - - -
6 Car model 1 - - - -
7 Car model 1 - - - -
8 Car model 1 01:59.2830 35.2320 50.4180 33.6330
9 Car model 1 - - - -
10 Car model 1 - - - -
11 Car model 1 - - - -
12 Car model 1 01:59.3340 35.2380 50.4180 33.6780
13 Car model 1 - - - -
14 Car model 1 - - - -
15 Car model 1 - - - -
16 Car model 1 - - - -
17 Car model 1 01:59.3340 35.2530 50.2980 33.7830
18 Car model 1 - - - -
19 Car model 1 01:59.8440 35.0940 50.9850 33.7650
20 Car model 1 - - - -
21 Car model 1 - - - -
22 Car model 1 - - - -
23 Car model 1 - - - -
Average   01:59.5386 35.2476 50.5848 33.7062
Best possible   01:59.0250 35.0940 50.2980 33.6330
Michel Andrade
1 Car model 19 - - - -
2 Car model 19 02:01.7340 36.2070 51.4890 34.0380
3 Car model 19 - - - -
4 Car model 19 02:00.8730 35.8110 51.2760 33.7860
5 Car model 19 - - - -
6 Car model 19 02:01.5660 36.0480 51.6600 33.8580
7 Car model 19 02:00.4050 35.6880 50.9190 33.7980
8 Car model 19 - - - -
9 Car model 19 - - - -
10 Car model 19 - - - -
11 Car model 19 - - - -
12 Car model 19 02:00.2250 35.5140 50.9250 33.7860
13 Car model 19 02:00.1440 35.7420 50.5710 33.8310
14 Car model 19 01:59.9640 35.6070 50.7450 33.6120
15 Car model 19 - - - -
16 Car model 19 - - - -
17 Car model 19 02:00.2550 35.7090 50.8650 33.6810
18 Car model 19 - - - -
19 Car model 19 02:00.6780 35.7330 51.2160 33.7290
20 Car model 19 01:59.3160 35.3820 50.3130 33.6210
21 Car model 19 02:00.2190 35.4390 50.9490 33.8310
22 Car model 19 - - - -
23 Car model 19 02:00.0450 35.4150 50.6220 34.0080
24 Car model 19 - - - -
25 Car model 19 - - - -
26 Car model 19 02:00.0300 35.6610 50.6370 33.7320
27 Car model 19 - - - -
28 Car model 19 - - - -
29 Car model 19 01:59.3310 35.4120 50.2320 33.6870
30 Car model 19 01:59.5230 35.1510 50.6730 33.6990
31 Car model 19 - - - -
32 Car model 19 - - - -
33 Car model 19 - - - -
34 Car model 19 01:59.6370 35.6820 50.4360 33.5190
35 Car model 19 - - - -
36 Car model 19 01:59.8260 35.2350 50.8530 33.7380
37 Car model 19 - - - -
38 Car model 19 - - - -
39 Car model 19 - - - -
40 Car model 19 - - - -
41 Car model 19 - - - -
42 Car model 19 02:00.2070 35.5830 50.8740 33.7500
43 Car model 19 - - - -
44 Car model 19 - - - -
45 Car model 19 01:59.5650 35.3760 50.4600 33.7290
46 Car model 19 - - - -
Average   02:00.1864 35.5997 50.8271 33.7596
Best possible   01:58.9020 35.1510 50.2320 33.5190
Luiz Zani
1 Car model 6 - - - -
2 Car model 6 - - - -
3 Car model 6 01:59.5560 35.4090 50.3370 33.8100
Average   01:59.5560 35.4090 50.3370 33.8100
Best possible   01:59.5560 35.4090 50.3370 33.8100
Janes Junior
1 Car model 2 - - - -
2 Car model 2 - - - -
3 Car model 2 02:01.2840 35.9130 51.1590 34.2120
4 Car model 2 - - - -
5 Car model 2 - - - -
6 Car model 2 02:00.7350 35.9670 50.8860 33.8820
7 Car model 2 01:59.8950 35.5140 50.4330 33.9480
8 Car model 2 - - - -
9 Car model 2 02:00.6060 35.8050 51.0360 33.7650
10 Car model 2 01:59.7300 35.5830 50.3430 33.8040
11 Car model 2 02:00.2550 35.6160 50.5950 34.0440
12 Car model 2 - - - -
13 Car model 2 - - - -
14 Car model 2 01:59.8830 35.6460 50.3310 33.9060
15 Car model 2 - - - -
16 Car model 2 - - - -
17 Car model 2 - - - -
18 Car model 2 02:00.2130 35.7000 50.4390 34.0740
19 Car model 2 - - - -
20 Car model 2 - - - -
21 Car model 2 - - - -
22 Car model 2 - - - -
23 Car model 2 - - - -
24 Car model 2 - - - -
25 Car model 2 - - - -
26 Car model 2 - - - -
27 Car model 2 - - - -
28 Car model 2 - - - -
29 Car model 2 02:01.5360 35.5350 51.7770 34.2240
30 Car model 2 - - - -
Average   02:00.4597 35.6977 50.7777 33.9843
Best possible   01:59.6100 35.5140 50.3310 33.7650
Nilson Porto BR
1 Car model 1 - - - -
2 Car model 1 02:01.9410 36.1620 51.4890 34.2900
3 Car model 1 - - - -
4 Car model 1 02:00.2820 35.4900 50.9400 33.8520
5 Car model 1 01:59.7480 35.7630 50.4120 33.5730
Average   02:00.6570 35.8050 50.9470 33.9050
Best possible   01:59.4750 35.4900 50.4120 33.5730
Andre Penedo
1 Car model 20 - - - -
2 Car model 20 02:02.1180 35.9280 52.0290 34.1610
3 Car model 20 - - - -
4 Car model 20 02:01.3140 36.2190 51.3450 33.7500
5 Car model 20 02:00.7980 35.8920 50.8800 34.0260
6 Car model 20 - - - -
7 Car model 20 02:01.1340 35.9850 51.0810 34.0680
8 Car model 20 - - - -
9 Car model 20 02:00.8850 36.0150 50.9100 33.9600
10 Car model 20 02:01.3530 35.8590 51.7590 33.7350
11 Car model 20 - - - -
12 Car model 20 02:01.5150 36.0270 51.4110 34.0770
13 Car model 20 02:01.0290 35.5680 51.4770 33.9840
14 Car model 20 02:00.2220 35.3820 50.9760 33.8640
15 Car model 20 - - - -
16 Car model 20 - - - -
17 Car model 20 02:00.8910 35.6880 50.7630 34.4400
18 Car model 20 02:01.1610 35.5140 51.4380 34.2090
19 Car model 20 02:01.3710 35.9400 51.3060 34.1250
20 Car model 20 - - - -
21 Car model 20 02:00.7500 35.5440 51.0750 34.1310
22 Car model 20 02:00.8580 35.5140 51.5700 33.7740
23 Car model 20 - - - -
24 Car model 20 - - - -
25 Car model 20 01:59.8020 35.3640 50.4930 33.9450
Average   02:01.0134 35.7626 51.2342 34.0166
Best possible   01:59.5920 35.3640 50.4930 33.7350
Allan Hellmann
1 Car model 8 - - - -
2 Car model 8 02:00.6600 35.3730 51.1680 34.1190
3 Car model 8 - - - -
4 Car model 8 02:00.4770 35.3340 50.9520 34.1910
5 Car model 8 02:00.1320 35.2200 50.8440 34.0680
6 Car model 8 02:00.3150 35.1810 50.8950 34.2390
7 Car model 8 - - - -
8 Car model 8 - - - -
9 Car model 8 - - - -
10 Car model 8 - - - -
11 Car model 8 - - - -
12 Car model 8 - - - -
13 Car model 8 - - - -
14 Car model 8 - - - -
15 Car model 8 01:59.9280 35.4780 50.6940 33.7560
16 Car model 8 02:00.0090 35.1030 50.9820 33.9240
17 Car model 8 - - - -
18 Car model 8 02:04.1550 35.6040 54.2520 34.2990
Average   02:00.8108 35.3276 51.3981 34.0851
Best possible   01:59.5530 35.1030 50.6940 33.7560
Alexandre Androcioli
1 Car model 23 - - - -
2 Car model 23 - - - -
3 Car model 23 02:02.0910 36.1230 51.5610 34.4070
4 Car model 23 02:01.7640 35.7030 51.5910 34.4700
5 Car model 23 02:01.4970 35.8380 51.2430 34.4160
6 Car model 23 - - - -
7 Car model 23 02:01.2900 35.9520 51.1860 34.1520
8 Car model 23 - - - -
9 Car model 23 - - - -
10 Car model 23 02:00.0390 35.7210 50.1450 34.1730
Average   02:01.3362 35.8674 51.1452 34.3236
Best possible   02:00.0000 35.7030 50.1450 34.1520
Marcelo Castro
1 Car model 19 - - - -
2 Car model 19 - - - -
3 Car model 19 - - - -
4 Car model 19 02:01.4340 35.8890 51.3390 34.2060
5 Car model 19 - - - -
6 Car model 19 02:01.3800 35.9160 51.1770 34.2870
7 Car model 19 - - - -
8 Car model 19 - - - -
9 Car model 19 - - - -
10 Car model 19 02:01.4880 35.9040 51.2100 34.3740
11 Car model 19 - - - -
12 Car model 19 02:02.6070 35.6070 52.5600 34.4400
13 Car model 19 02:00.5550 35.4450 50.9190 34.1910
14 Car model 19 - - - -
15 Car model 19 - - - -
16 Car model 19 - - - -
Average   02:01.4928 35.7522 51.4410 34.2996
Best possible   02:00.5550 35.4450 50.9190 34.1910
Wagner Paim
1 Car model 16 - - - -
2 Car model 16 - - - -
3 Car model 16 - - - -
4 Car model 16 02:02.3790 36.5340 51.6990 34.1460
5 Car model 16 - - - -
6 Car model 16 02:01.0200 35.6340 51.2250 34.1610
7 Car model 16 02:02.4870 36.0750 51.9000 34.5120
8 Car model 16 - - - -
Average   02:01.9620 36.0810 51.6080 34.2730
Best possible   02:01.0050 35.6340 51.2250 34.1460
Sanfre Escofil
1 Car model 6 - - - -
2 Car model 6 - - - -
3 Car model 6 02:03.1950 36.5970 52.5000 34.0980
4 Car model 6 02:01.4490 35.9100 51.1800 34.3590
5 Car model 6 02:01.3440 36.0480 51.2130 34.0830
Average   02:01.9960 36.1850 51.6310 34.1800
Best possible   02:01.1730 35.9100 51.1800 34.0830
Paulo Wesley
1 Car model 17 - - - -
2 Car model 17 02:04.6410 36.7320 53.0880 34.8210
3 Car model 17 02:08.1090 39.5250 53.7150 34.8690
4 Car model 17 02:03.7590 36.7260 52.2150 34.8180
5 Car model 17 - - - -
6 Car model 17 - - - -
7 Car model 17 02:04.4580 36.2370 53.0490 35.1720
8 Car model 17 - - - -
9 Car model 17 - - - -
10 Car model 17 - - - -
11 Car model 17 02:03.0780 36.6120 51.8550 34.6110
12 Car model 17 02:02.3190 36.3420 51.2430 34.7340
13 Car model 17 02:02.5980 36.3420 51.5040 34.7520
14 Car model 17 - - - -
15 Car model 17 - - - -
16 Car model 17 - - - -
17 Car model 17 02:03.9690 36.5550 52.4880 34.9260
18 Car model 17 02:02.6100 36.1950 51.8310 34.5840
19 Car model 17 - - - -
20 Car model 17 - - - -
21 Car model 17 - - - -
22 Car model 17 02:03.0360 36.5220 51.7800 34.7340
23 Car model 17 - - - -
24 Car model 17 - - - -
25 Car model 17 02:03.2040 36.1650 52.2030 34.8360
26 Car model 17 02:02.0880 35.9100 51.5550 34.6230
27 Car model 17 02:03.0540 36.7260 51.5640 34.7640
28 Car model 17 - - - -
29 Car model 17 02:02.1570 35.9640 51.5670 34.6260
30 Car model 17 02:03.5220 36.0210 51.9510 35.5500
31 Car model 17 - - - -
32 Car model 17 - - - -
33 Car model 17 - - - -
34 Car model 17 02:02.6700 36.0000 51.5910 35.0790
35 Car model 17 02:02.8590 36.1410 51.8670 34.8510
36 Car model 17 - - - -
37 Car model 17 02:02.9130 36.2190 51.7860 34.9080
38 Car model 17 - - - -
39 Car model 17 02:03.1740 36.6900 51.7560 34.7280
Average   02:03.3799 36.5065 52.0320 34.8414
Best possible   02:01.7370 35.9100 51.2430 34.5840
Janes Junior
1 Car model 16 - - - -
2 Car model 16 - - - -
3 Car model 16 02:02.6370 36.0660 52.1970 34.3740
4 Car model 16 - - - -
5 Car model 16 - - - -
6 Car model 16 - - - -
7 Car model 16 - - - -
8 Car model 16 - - - -
9 Car model 16 02:02.1210 36.2940 51.3480 34.4790
10 Car model 16 - - - -
Average   02:02.3790 36.1800 51.7725 34.4265
Best possible   02:01.7880 36.0660 51.3480 34.3740
Sergio Caramalaki
1 Car model 8 - - - -
2 Car model 8 - - - -
3 Car model 8 - - - -
4 Car model 8 - - - -
5 Car model 8 02:05.3730 37.0770 53.4180 34.8780
6 Car model 8 - - - -
7 Car model 8 - - - -
8 Car model 8 - - - -
9 Car model 8 02:04.8060 36.9360 52.8000 35.0700
10 Car model 8 - - - -
11 Car model 8 02:05.0790 36.7620 53.1630 35.1540
12 Car model 8 02:05.1930 37.2240 52.9770 34.9920
13 Car model 8 - - - -
14 Car model 8 - - - -
15 Car model 8 02:03.6570 36.5040 52.5330 34.6200
16 Car model 8 02:03.4200 36.2880 52.5360 34.5960
17 Car model 8 02:04.9590 37.1970 52.5990 35.1630
Average   02:04.6410 36.8554 52.8609 34.9247
Best possible   02:03.4170 36.2880 52.5330 34.5960
Douglas Simoneli
1 Car model 21 - - - -
2 Car model 21 - - - -
3 Car model 21 - - - -
4 Car model 21 - - - -
5 Car model 21 - - - -
6 Car model 21 02:07.8960 37.1670 54.9120 35.8170
7 Car model 21 02:06.1980 37.3800 53.9940 34.8240
8 Car model 21 - - - -
9 Car model 21 - - - -
10 Car model 21 02:05.7390 36.4050 54.4080 34.9260
11 Car model 21 - - - -
12 Car model 21 - - - -
13 Car model 21 02:05.0130 36.6600 53.1780 35.1750
14 Car model 21 - - - -
15 Car model 21 - - - -
16 Car model 21 - - - -
17 Car model 21 - - - -
Average   02:06.2115 36.9030 54.1230 35.1855
Best possible   02:04.4070 36.4050 53.1780 34.8240
Andre Verdani
No laps for this driver
Edson Archela
No laps for this driver
Murilo Assenato
No laps for this driver
Walter Rubens
No laps for this driver
Walter Rubens
No laps for this driver
Renan Carlos
No laps for this driver
Walter Rubens
No laps for this driver
Emerson Renato
No laps for this driver
Aldo Giani Godoy
No laps for this driver
Luiz Zani
1 Car model 19 - - - -
Janes Junior
1 Car model 21 - - - -
2 Car model 21 - - - -
3 Car model 21 - - - -
4 Car model 21 - - - -
5 Car model 21 - - - -
6 Car model 21 - - - -
7 Car model 21 - - - -
Beto Dalla Stella
No laps for this driver
Walter Rubens
No laps for this driver
Edilson Medeiros
No laps for this driver
Luiz Zani
1 Car model 22 - - - -

Practice 2 best laps

Overall top (20)
Driver Vehicle Time Gap
Nilson Porto BR Car model 19 01:57.3900
Lucas Araujo Car model 2 01:57.4320 0.042
Lucas Araujo Car model 2 01:57.4860 0.096
Lucas Araujo Car model 2 01:57.5010 0.111
Ricardo Binda Car model 2 01:57.5430 0.153
Lucas Araujo Car model 2 01:57.6210 0.231
Nilson Porto BR Car model 19 01:57.6660 0.276
Lucas Araujo Car model 2 01:57.7050 0.315
Lucas Matheus Car model 23 01:57.7440 0.354
Ricardo Binda Car model 2 01:57.8130 0.423
Ricardo Binda Car model 2 01:57.8520 0.462
Ricardo Binda Car model 2 01:57.8940 0.504
Ricardo Binda Car model 2 01:57.9300 0.54
Ricardo Binda Car model 2 01:57.9780 0.588
Ricardo Binda Car model 2 01:57.9840 0.594
Lucas Araujo Car model 1 01:58.0440 0.654
Ricardo Binda Car model 2 01:58.1280 0.738
Lucas Matheus Car model 23 01:58.1400 0.75
Lucas Matheus Car model 23 01:58.1580 0.768
Luiz Zani Car model 20 01:58.1670 0.777
Per driver
Driver Vehicle Time Gap
Nilson Porto BR Car model 19 01:57.3900
Lucas Araujo Car model 2 01:57.4320 0.042
Ricardo Binda Car model 2 01:57.5430 0.153
Lucas Matheus Car model 23 01:57.7440 0.354
Lucas Araujo Car model 1 01:58.0440 0.654
Luiz Zani Car model 20 01:58.1670 0.777
Marcelo Machado Car model 22 01:58.3170 0.927
Tiago Costa Car model 2 01:58.4790 1.089
Luiz Zani Car model 2 01:58.7850 1.395
Aldo Giani Godoy Car model 23 01:58.9770 1.587
Paulo Preto Car model 1 01:59.0340 1.644
Tony Gleibson Car model 8 01:59.0730 1.683
Vinicius Abel Car model 1 01:59.1540 1.764
jucie zanine Car model 22 01:59.2410 1.851
Michel Gico Car model 1 01:59.2830 1.893
Michel Andrade Car model 19 01:59.3160 1.926
Luiz Zani Car model 6 01:59.5560 2.166
Janes Junior Car model 2 01:59.7300 2.34
Nilson Porto BR Car model 1 01:59.7480 2.358
Andre Penedo Car model 20 01:59.8020 2.412
Allan Hellmann Car model 8 01:59.9280 2.538
Alexandre Androcioli Car model 23 02:00.0390 2.649
Marcelo Castro Car model 19 02:00.5550 3.165
Wagner Paim Car model 16 02:01.0200 3.63
Sanfre Escofil Car model 6 02:01.3440 3.954
Paulo Wesley Car model 17 02:02.0880 4.698
Janes Junior Car model 16 02:02.1210 4.731
Sergio Caramalaki Car model 8 02:03.4200 6.03
Douglas Simoneli Car model 21 02:05.0130 7.623

Practice 2 consistency

Driver Vehicle Consistency
Luiz Zani Car model 2 99.96% <> 0.048
Michel Gico Car model 1 99.73% <> 0.3195
Tony Gleibson Car model 8 99.65% <> 0.4183
Janes Junior Car model 16 99.58% <> 0.516
Tiago Costa Car model 2 99.34% <> 0.7788
Janes Junior Car model 2 99.31% <> 0.8209
Michel Andrade Car model 19 99.23% <> 0.9188
Sanfre Escofil Car model 6 99.19% <> 0.978
Allan Hellmann Car model 8 99.14% <> 1.03
Luiz Zani Car model 20 99.12% <> 1.044
Lucas Matheus Car model 23 99.10% <> 1.0593
Marcelo Castro Car model 19 99.03% <> 1.1722
Andre Penedo Car model 20 98.92% <> 1.2979
Nilson Porto BR Car model 1 98.86% <> 1.3635
Paulo Wesley Car model 17 98.88% <> 1.3637
Paulo Preto Car model 1 98.82% <> 1.4061
Wagner Paim Car model 16 98.83% <> 1.413
Sergio Caramalaki Car model 8 98.85% <> 1.4245
Marcelo Machado Car model 22 98.78% <> 1.4378
Douglas Simoneli Car model 21 98.72% <> 1.598
Alexandre Androcioli Car model 23 98.65% <> 1.6215
Lucas Araujo Car model 1 98.60% <> 1.6525
Lucas Araujo Car model 2 98.51% <> 1.7505
Aldo Giani Godoy Car model 23 98.45% <> 1.8454
Vinicius Abel Car model 1 98.30% <> 2.023
jucie zanine Car model 22 98.06% <> 2.3155
Ricardo Binda Car model 2 97.56% <> 2.8624
Nilson Porto BR Car model 19 96.65% <> 3.9354
Luiz Zani Car model 6 -
Andre Verdani Car model 16 -
Edson Archela Car model 22 -
Murilo Assenato Car model 22 -
Walter Rubens Car model 13 -
Walter Rubens Car model 21 -
Renan Carlos Car model 8 -
Walter Rubens Car model 6 -
Emerson Renato Car model 20 -
Aldo Giani Godoy Car model 7 -
Luiz Zani Car model 19 -
Janes Junior Car model 21 -
Beto Dalla Stella Car model 16 -
Walter Rubens Car model 20 -
Edilson Medeiros Car model 21 -
Luiz Zani Car model 22 -

Practice 2 sectors

Sector 1
Driver Time Gap
Marcelo Machado 34.6320 -
Ricardo Binda 34.6590 0.0270
Nilson Porto BR 34.6860 0.0540
Lucas Araujo 34.6860 0.0540
Luiz Zani 34.7760 0.1440
Lucas Matheus 34.7820 0.1500
Luiz Zani 34.8420 0.2100
Vinicius Abel 34.8810 0.2490
Tony Gleibson 34.9740 0.3420
Aldo Giani Godoy 34.9800 0.3480
Lucas Araujo 35.0580 0.4260
Michel Gico 35.0940 0.4620
Allan Hellmann 35.1030 0.4710
Tiago Costa 35.1240 0.4920
Paulo Preto 35.1300 0.4980
Michel Andrade 35.1510 0.5190
Andre Penedo 35.3640 0.7320
Luiz Zani 35.4090 0.7770
Marcelo Castro 35.4450 0.8130
Nilson Porto BR 35.4900 0.8580
jucie zanine 35.4990 0.8670
Janes Junior 35.5140 0.8820
Wagner Paim 35.6340 1.0020
Alexandre Androcioli 35.7030 1.0710
Sanfre Escofil 35.9100 1.2780
Paulo Wesley 35.9100 1.2780
Janes Junior 36.0660 1.4340
Sergio Caramalaki 36.2880 1.6560
Douglas Simoneli 36.4050 1.7730
Sector 2
Driver Time Gap
Lucas Araujo 49.1430 -
Nilson Porto BR 49.3590 0.2160
Ricardo Binda 49.3770 0.2340
Lucas Matheus 49.5510 0.4080
Lucas Araujo 49.6620 0.5190
Tiago Costa 49.8030 0.6600
Luiz Zani 49.8420 0.6990
Luiz Zani 49.9290 0.7860
Marcelo Machado 50.0220 0.8790
Paulo Preto 50.0520 0.9090
jucie zanine 50.0640 0.9210
Tony Gleibson 50.1060 0.9630
Alexandre Androcioli 50.1450 1.0020
Aldo Giani Godoy 50.1480 1.0050
Michel Andrade 50.2320 1.0890
Michel Gico 50.2980 1.1550
Janes Junior 50.3310 1.1880
Luiz Zani 50.3370 1.1940
Nilson Porto BR 50.4120 1.2690
Andre Penedo 50.4930 1.3500
Vinicius Abel 50.5110 1.3680
Allan Hellmann 50.6940 1.5510
Marcelo Castro 50.9190 1.7760
Sanfre Escofil 51.1800 2.0370
Wagner Paim 51.2250 2.0820
Paulo Wesley 51.2430 2.1000
Janes Junior 51.3480 2.2050
Sergio Caramalaki 52.5330 3.3900
Douglas Simoneli 53.1780 4.0350
Sector 3
Driver Time Gap
Ricardo Binda 33.3090 -
Lucas Araujo 33.3240 0.0150
Lucas Matheus 33.3420 0.0330
Nilson Porto BR 33.3450 0.0360
Lucas Araujo 33.4350 0.1260
Tiago Costa 33.5010 0.1920
Michel Andrade 33.5190 0.2100
Paulo Preto 33.5430 0.2340
Luiz Zani 33.5490 0.2400
Nilson Porto BR 33.5730 0.2640
Aldo Giani Godoy 33.5760 0.2670
jucie zanine 33.5760 0.2670
Michel Gico 33.6330 0.3240
Marcelo Machado 33.6540 0.3450
Tony Gleibson 33.6900 0.3810
Andre Penedo 33.7350 0.4260
Allan Hellmann 33.7560 0.4470
Vinicius Abel 33.7620 0.4530
Janes Junior 33.7650 0.4560
Luiz Zani 33.8100 0.5010
Luiz Zani 33.8220 0.5130
Sanfre Escofil 34.0830 0.7740
Wagner Paim 34.1460 0.8370
Alexandre Androcioli 34.1520 0.8430
Marcelo Castro 34.1910 0.8820
Janes Junior 34.3740 1.0650
Paulo Wesley 34.5840 1.2750
Sergio Caramalaki 34.5960 1.2870
Douglas Simoneli 34.8240 1.5150

Practice 3 result



Game Assetto Corsa Competizione
Session Practice
Track silverstone_2019
Best lap Edson Archela (01:58.7940)
Lasted laps 27
Host Unknown
Pos Driver Vehicle Laps Best lap Gap
1 Edson Archela Car model 22 23 01:58.7940 -
2 Tony Gleibson Car model 8 13 01:59.9460 00:01.1520
3 Andre Verdani Car model 16 17 02:00.3570 00:01.5630
4 Allan Hellmann Car model 8 19 02:00.7020 00:01.9080
5 Andre Penedo Car model 20 8 02:00.9120 00:02.1180
6 Janes Junior Car model 2 20 02:00.9270 00:02.1330
7 Paulo Preto Car model 1 13 02:00.9300 00:02.1360
8 Beto Dalla Stella Car model 16 5 02:01.0500 00:02.2560
9 Renan Carlos Car model 8 25 02:01.5270 00:02.7330
10 Walter Rubens Car model 6 17 02:01.7700 00:02.9760
11 Edilson Medeiros Car model 21 27 02:01.9980 00:03.2040
12 Walter Rubens Car model 21 10 02:02.1480 00:03.3540
13 Walter Rubens Car model 20 4 02:02.6850 00:03.8910
14 Murilo Assenato Car model 22 26 02:02.7270 00:03.9330
15 Paulo Wesley Car model 17 8 02:03.1290 00:04.3350
16 Walter Rubens Car model 13 2 - -
17 Nilson Porto BR Car model 19 2 - -

Practice 3 laps

Bad lap, 107% rule compared to the overall best lap of the session. Excludes first lap for race sessions
Personal best lap/sector
Overall best lap/sector for a lap
Overall best lap/sector for a lap and personal best lap/sector
Overall best lap/sector
(P) Pit lap
Lap Vehicle Time Sector 1 Sector 2 Sector 3
Edson Archela
1 Car model 22 - - - -
2 Car model 22 - - - -
3 Car model 22 - - - -
4 Car model 22 - - - -
5 Car model 22 - - - -
6 Car model 22 02:01.3860 35.7750 51.3270 34.2840
7 Car model 22 02:01.1010 35.9010 50.9880 34.2120
8 Car model 22 - - - -
9 Car model 22 - - - -
10 Car model 22 - - - -
11 Car model 22 02:01.2240 35.7300 50.9550 34.5390
12 Car model 22 02:01.1520 35.8890 50.8950 34.3680
13 Car model 22 02:01.7010 35.8260 51.1110 34.7640
14 Car model 22 - - - -
15 Car model 22 - - - -
16 Car model 22 - - - -
17 Car model 22 - - - -
18 Car model 22 02:02.4900 35.9490 51.9750 34.5660
19 Car model 22 02:01.1010 35.6910 51.2340 34.1760
20 Car model 22 - - - -
21 Car model 22 - - - -
22 Car model 22 02:00.0090 35.6100 50.7900 33.6090
23 Car model 22 01:58.7940 35.0160 50.1930 33.5850
Average   02:00.9954 35.7097 51.0520 34.2337
Best possible   01:58.7940 35.0160 50.1930 33.5850
Tony Gleibson
1 Car model 8 - - - -
2 Car model 8 - - - -
3 Car model 8 - - - -
4 Car model 8 02:00.4530 35.7570 50.8260 33.8700
5 Car model 8 02:00.3180 35.4870 50.7690 34.0620
6 Car model 8 - - - -
7 Car model 8 02:01.0410 35.8380 50.8350 34.3680
8 Car model 8 01:59.9460 35.2920 50.5590 34.0950
9 Car model 8 02:00.3870 35.5230 50.6220 34.2420
10 Car model 8 - - - -
11 Car model 8 - - - -
12 Car model 8 - - - -
13 Car model 8 - - - -
Average   02:00.4290 35.5794 50.7222 34.1274
Best possible   01:59.7210 35.2920 50.5590 33.8700
Andre Verdani
1 Car model 16 - - - -
2 Car model 16 02:02.6610 36.5790 51.9600 34.1220
3 Car model 16 02:01.8510 36.1560 51.3420 34.3530
4 Car model 16 - - - -
5 Car model 16 - - - -
6 Car model 16 02:00.8100 35.6550 51.1890 33.9660
7 Car model 16 02:00.5070 35.8710 50.8290 33.8070
8 Car model 16 - - - -
9 Car model 16 - - - -
10 Car model 16 - - - -
11 Car model 16 02:01.9440 36.4530 51.4440 34.0470
12 Car model 16 - - - -
13 Car model 16 02:02.1450 36.4500 51.4560 34.2390
14 Car model 16 02:01.2090 35.8560 51.0600 34.2930
15 Car model 16 - - - -
16 Car model 16 02:00.4290 35.8440 50.7540 33.8310
17 Car model 16 02:00.3570 35.5380 50.7540 34.0650
Average   02:01.3237 36.0447 51.1987 34.0803
Best possible   02:00.0990 35.5380 50.7540 33.8070
Allan Hellmann
1 Car model 8 - - - -
2 Car model 8 02:00.7380 35.6580 51.0300 34.0500
3 Car model 8 - - - -
4 Car model 8 02:00.8430 35.4060 51.1170 34.3200
5 Car model 8 - - - -
6 Car model 8 - - - -
7 Car model 8 02:00.7020 35.2320 51.1380 34.3320
8 Car model 8 - - - -
9 Car model 8 - - - -
10 Car model 8 - - - -
11 Car model 8 - - - -
12 Car model 8 - - - -
13 Car model 8 - - - -
14 Car model 8 02:07.0290 35.9310 53.2050 37.8930
15 Car model 8 02:02.0250 35.9190 51.7860 34.3200
16 Car model 8 - - - -
17 Car model 8 - - - -
18 Car model 8 - - - -
19 Car model 8 02:01.0800 35.4900 51.4650 34.1250
Average   02:02.0695 35.6060 51.6235 34.8400
Best possible   02:00.3120 35.2320 51.0300 34.0500
Andre Penedo
1 Car model 20 - - - -
2 Car model 20 02:01.8180 36.1140 51.5850 34.1190
3 Car model 20 02:01.3650 35.9850 51.1800 34.2000
4 Car model 20 02:00.9120 35.7210 51.0630 34.1280
5 Car model 20 02:01.8300 35.7750 51.9030 34.1520
6 Car model 20 02:01.6950 36.0780 51.4740 34.1430
7 Car model 20 02:01.8180 35.9940 51.4950 34.3290
8 Car model 20 02:01.3830 35.9790 51.1860 34.2180
Average   02:01.5458 35.9494 51.4123 34.1841
Best possible   02:00.9030 35.7210 51.0630 34.1190
Janes Junior
1 Car model 2 - - - -
2 Car model 2 - - - -
3 Car model 2 02:02.0190 36.3690 51.5580 34.0920
4 Car model 2 02:00.9270 35.9250 51.1500 33.8520
5 Car model 2 - - - -
6 Car model 2 02:03.7530 36.9840 52.2060 34.5630
7 Car model 2 02:03.8520 36.8610 52.1850 34.8060
8 Car model 2 02:03.5070 36.6540 52.3290 34.5240
9 Car model 2 02:03.5730 36.4740 52.4970 34.6020
10 Car model 2 - - - -
11 Car model 2 02:19.3290 51.9000 52.4220 35.0070
12 Car model 2 - - - -
13 Car model 2 02:05.0040 37.6410 52.8030 34.5600
14 Car model 2 02:04.5030 36.4380 53.2860 34.7790
15 Car model 2 - - - -
16 Car model 2 02:02.0790 35.9310 51.5430 34.6050
17 Car model 2 - - - -
18 Car model 2 - - - -
19 Car model 2 02:01.9380 36.1200 51.5640 34.2540
20 Car model 2 02:01.9560 36.1680 51.4170 34.3710
Average   02:04.3701 37.7888 52.0800 34.5013
Best possible   02:00.9270 35.9250 51.1500 33.8520
Paulo Preto
1 Car model 1 - - - -
2 Car model 1 02:02.4960 36.3420 51.7530 34.4010
3 Car model 1 02:00.9300 35.7030 51.1560 34.0710
4 Car model 1 - - - -
5 Car model 1 - - - -
6 Car model 1 02:01.4730 35.8800 51.2400 34.3530
7 Car model 1 02:01.5180 35.8590 51.1020 34.5570
8 Car model 1 - - - -
9 Car model 1 02:01.6020 35.9820 51.3840 34.2360
10 Car model 1 - - - -
11 Car model 1 02:01.3380 35.7570 51.3660 34.2150
12 Car model 1 - - - -
13 Car model 1 02:01.6350 35.8110 51.5250 34.2990
Average   02:01.5704 35.9049 51.3609 34.3046
Best possible   02:00.8760 35.7030 51.1020 34.0710
Beto Dalla Stella
1 Car model 16 - - - -
2 Car model 16 - - - -
3 Car model 16 02:01.2090 36.1530 51.0480 34.0080
4 Car model 16 02:01.0500 35.7150 51.2220 34.1130
5 Car model 16 02:02.1780 36.1620 51.2910 34.7250
Average   02:01.4790 36.0100 51.1870 34.2820
Best possible   02:00.7710 35.7150 51.0480 34.0080
Renan Carlos
1 Car model 8 - - - -
2 Car model 8 02:03.5160 36.4500 52.2180 34.8480
3 Car model 8 - - - -
4 Car model 8 02:04.5750 36.6060 52.9650 35.0040
5 Car model 8 - - - -
6 Car model 8 - - - -
7 Car model 8 - - - -
8 Car model 8 - - - -
9 Car model 8 02:02.1210 35.8530 51.7740 34.4940
10 Car model 8 - - - -
11 Car model 8 02:02.2980 36.0330 51.6000 34.6650
12 Car model 8 - - - -
13 Car model 8 02:03.7980 36.1560 52.4550 35.1870
14 Car model 8 02:01.5270 35.6820 51.3840 34.4610
15 Car model 8 02:18.1260 36.0750 51.9030 50.1480
16 Car model 8 - - - -
17 Car model 8 - - - -
18 Car model 8 - - - -
19 Car model 8 - - - -
20 Car model 8 - - - -
21 Car model 8 - - - -
22 Car model 8 02:05.1840 36.0000 54.3570 34.8270
23 Car model 8 - - - -
24 Car model 8 - - - -
25 Car model 8 - - - -
Average   02:05.1432 36.1069 52.3320 36.7043
Best possible   02:01.5270 35.6820 51.3840 34.4610
Walter Rubens
1 Car model 6 - - - -
2 Car model 6 - - - -
3 Car model 6 02:02.7420 36.4110 51.9960 34.3350
4 Car model 6 02:02.2770 36.3630 51.5550 34.3590
5 Car model 6 - - - -
6 Car model 6 02:02.1060 36.0990 51.6840 34.3230
7 Car model 6 02:01.7700 36.0540 51.4350 34.2810
8 Car model 6 - - - -
9 Car model 6 02:02.8500 36.5430 51.7560 34.5510
10 Car model 6 - - - -
11 Car model 6 02:03.1080 36.5640 51.9000 34.6440
12 Car model 6 02:03.1830 36.5850 52.2240 34.3740
13 Car model 6 02:02.6820 36.3210 51.9210 34.4400
14 Car model 6 02:03.2340 36.5340 52.6350 34.0650
15 Car model 6 - - - -
16 Car model 6 02:02.1540 36.2190 51.6270 34.3080
17 Car model 6 02:01.7970 36.0000 51.4620 34.3350
Average   02:02.5366 36.3357 51.8359 34.3650
Best possible   02:01.5000 36.0000 51.4350 34.0650
Edilson Medeiros
1 Car model 21 - - - -
2 Car model 21 - - - -
3 Car model 21 02:03.1590 36.6030 52.0530 34.5030
4 Car model 21 02:03.5910 36.6060 51.9930 34.9920
5 Car model 21 - - - -
6 Car model 21 02:06.4050 37.4340 53.3850 35.5860
7 Car model 21 02:04.3710 36.7200 53.0130 34.6380
8 Car model 21 - - - -
9 Car model 21 - - - -
10 Car model 21 02:01.9980 36.2010 51.3480 34.4490
11 Car model 21 02:04.3530 37.3200 52.4070 34.6260
12 Car model 21 - - - -
13 Car model 21 02:04.1010 36.7110 52.5090 34.8810
14 Car model 21 02:03.5010 36.8280 51.9810 34.6920
15 Car model 21 - - - -
16 Car model 21 - - - -
17 Car model 21 - - - -
18 Car model 21 02:04.2570 37.0350 52.4040 34.8180
19 Car model 21 - - - -
20 Car model 21 - - - -
21 Car model 21 02:05.9520 38.9610 52.6800 34.3110
22 Car model 21 - - - -
23 Car model 21 - - - -
24 Car model 21 02:02.8530 36.2760 52.0800 34.4970
25 Car model 21 02:02.9220 36.4530 51.7920 34.6770
26 Car model 21 02:03.7860 36.6420 52.4160 34.7280
27 Car model 21 02:02.8020 36.5730 51.7800 34.4490
Average   02:03.8609 36.8831 52.2744 34.7034
Best possible   02:01.8600 36.2010 51.3480 34.3110
Walter Rubens
1 Car model 21 - - - -
2 Car model 21 02:03.1920 36.4050 51.9120 34.8750
3 Car model 21 02:02.3880 36.1470 52.0410 34.2000
4 Car model 21 - - - -
5 Car model 21 02:02.7330 36.4140 51.7590 34.5600
6 Car model 21 02:02.1480 36.6210 51.2310 34.2960
7 Car model 21 02:02.4360 36.0420 51.5790 34.8150
8 Car model 21 02:02.2140 36.1050 51.7680 34.3410
9 Car model 21 - - - -
10 Car model 21 - - - -
Average   02:02.5185 36.2890 51.7150 34.5145
Best possible   02:01.4730 36.0420 51.2310 34.2000
Walter Rubens
1 Car model 20 - - - -
2 Car model 20 02:03.8130 36.6570 52.5570 34.5990
3 Car model 20 02:04.4280 36.7890 52.8840 34.7550
4 Car model 20 02:02.6850 36.4230 51.7500 34.5120
Average   02:03.6420 36.6230 52.3970 34.6220
Best possible   02:02.6850 36.4230 51.7500 34.5120
Murilo Assenato
1 Car model 22 - - - -
2 Car model 22 - - - -
3 Car model 22 - - - -
4 Car model 22 02:03.4080 36.5880 52.2780 34.5420
5 Car model 22 02:02.9670 36.4380 51.9150 34.6140
6 Car model 22 - - - -
7 Car model 22 - - - -
8 Car model 22 - - - -
9 Car model 22 - - - -
10 Car model 22 - - - -
11 Car model 22 02:03.6420 36.5220 52.5900 34.5300
12 Car model 22 - - - -
13 Car model 22 02:03.1590 36.3240 52.3260 34.5090
14 Car model 22 - - - -
15 Car model 22 - - - -
16 Car model 22 - - - -
17 Car model 22 - - - -
18 Car model 22 02:02.7270 36.2850 51.8100 34.6320
19 Car model 22 - - - -
20 Car model 22 - - - -
21 Car model 22 02:03.4830 36.6150 52.2360 34.6320
22 Car model 22 - - - -
23 Car model 22 02:03.7950 36.5550 52.6470 34.5930
24 Car model 22 - - - -
25 Car model 22 - - - -
26 Car model 22 - - - -
Average   02:03.3116 36.4753 52.2574 34.5789
Best possible   02:02.6040 36.2850 51.8100 34.5090
Paulo Wesley
1 Car model 17 - - - -
2 Car model 17 02:05.4540 36.7410 53.4360 35.2770
3 Car model 17 02:05.4180 36.8400 53.8410 34.7370
4 Car model 17 - - - -
5 Car model 17 02:03.1290 36.7230 51.8100 34.5960
6 Car model 17 02:05.3670 37.3440 52.7280 35.2950
7 Car model 17 - - - -
8 Car model 17 - - - -
Average   02:04.8421 36.9120 52.9538 34.9763
Best possible   02:03.1290 36.7230 51.8100 34.5960
Walter Rubens
1 Car model 13 - - - -
2 Car model 13 - - - -
Nilson Porto BR
1 Car model 19 - - - -
2 Car model 19 - - - -

Practice 3 best laps

Overall top (20)
Driver Vehicle Time Gap
Edson Archela Car model 22 01:58.7940
Tony Gleibson Car model 8 01:59.9460 1.152
Edson Archela Car model 22 02:00.0090 1.215
Tony Gleibson Car model 8 02:00.3180 1.524
Andre Verdani Car model 16 02:00.3570 1.563
Tony Gleibson Car model 8 02:00.3870 1.593
Andre Verdani Car model 16 02:00.4290 1.635
Tony Gleibson Car model 8 02:00.4530 1.659
Andre Verdani Car model 16 02:00.5070 1.713
Allan Hellmann Car model 8 02:00.7020 1.908
Allan Hellmann Car model 8 02:00.7380 1.944
Andre Verdani Car model 16 02:00.8100 2.016
Allan Hellmann Car model 8 02:00.8430 2.049
Andre Penedo Car model 20 02:00.9120 2.118
Janes Junior Car model 2 02:00.9270 2.133
Paulo Preto Car model 1 02:00.9300 2.136
Tony Gleibson Car model 8 02:01.0410 2.247
Beto Dalla Stella Car model 16 02:01.0500 2.256
Allan Hellmann Car model 8 02:01.0800 2.286
Edson Archela Car model 22 02:01.1010 2.307
Per driver
Driver Vehicle Time Gap
Edson Archela Car model 22 01:58.7940
Tony Gleibson Car model 8 01:59.9460 1.152
Andre Verdani Car model 16 02:00.3570 1.563
Allan Hellmann Car model 8 02:00.7020 1.908
Andre Penedo Car model 20 02:00.9120 2.118
Janes Junior Car model 2 02:00.9270 2.133
Paulo Preto Car model 1 02:00.9300 2.136
Beto Dalla Stella Car model 16 02:01.0500 2.256
Renan Carlos Car model 8 02:01.5270 2.733
Walter Rubens Car model 6 02:01.7700 2.976
Edilson Medeiros Car model 21 02:01.9980 3.204
Walter Rubens Car model 21 02:02.1480 3.354
Walter Rubens Car model 20 02:02.6850 3.891
Murilo Assenato Car model 22 02:02.7270 3.933
Paulo Wesley Car model 17 02:03.1290 4.335

Practice 3 consistency

Driver Vehicle Consistency
Walter Rubens Car model 21 99.64% <> 0.4446
Tony Gleibson Car model 8 99.50% <> 0.6038
Beto Dalla Stella Car model 16 99.47% <> 0.6435
Murilo Assenato Car model 22 99.44% <> 0.682
Andre Penedo Car model 20 99.39% <> 0.7395
Paulo Preto Car model 1 99.38% <> 0.747
Walter Rubens Car model 6 99.31% <> 0.8433
Andre Verdani Car model 16 99.10% <> 1.0875
Walter Rubens Car model 20 98.83% <> 1.4355
Allan Hellmann Car model 8 98.64% <> 1.641
Edilson Medeiros Car model 21 98.36% <> 2.0061
Paulo Wesley Car model 17 98.15% <> 2.284
Edson Archela Car model 22 97.92% <> 2.4765
Janes Junior Car model 2 96.89% <> 3.756
Renan Carlos Car model 8 96.60% <> 4.1327
Walter Rubens Car model 13 -
Nilson Porto BR Car model 19 -

Practice 3 sectors

Sector 1
Driver Time Gap
Edson Archela 35.0160 -
Allan Hellmann 35.2320 0.2160
Tony Gleibson 35.2920 0.2760
Andre Verdani 35.5380 0.5220
Renan Carlos 35.6820 0.6660
Paulo Preto 35.7030 0.6870
Beto Dalla Stella 35.7150 0.6990
Andre Penedo 35.7210 0.7050
Janes Junior 35.9250 0.9090
Walter Rubens 36.0000 0.9840
Walter Rubens 36.0420 1.0260
Edilson Medeiros 36.2010 1.1850
Murilo Assenato 36.2850 1.2690
Walter Rubens 36.4230 1.4070
Paulo Wesley 36.7230 1.7070
Sector 2
Driver Time Gap
Edson Archela 50.1930 -
Tony Gleibson 50.5590 0.3660
Andre Verdani 50.7540 0.5610
Allan Hellmann 51.0300 0.8370
Beto Dalla Stella 51.0480 0.8550
Andre Penedo 51.0630 0.8700
Paulo Preto 51.1020 0.9090
Janes Junior 51.1500 0.9570
Walter Rubens 51.2310 1.0380
Edilson Medeiros 51.3480 1.1550
Renan Carlos 51.3840 1.1910
Walter Rubens 51.4350 1.2420
Walter Rubens 51.7500 1.5570
Murilo Assenato 51.8100 1.6170
Paulo Wesley 51.8100 1.6170
Sector 3
Driver Time Gap
Edson Archela 33.5850 -
Andre Verdani 33.8070 0.2220
Janes Junior 33.8520 0.2670
Tony Gleibson 33.8700 0.2850
Beto Dalla Stella 34.0080 0.4230
Allan Hellmann 34.0500 0.4650
Walter Rubens 34.0650 0.4800
Paulo Preto 34.0710 0.4860
Andre Penedo 34.1190 0.5340
Walter Rubens 34.2000 0.6150
Edilson Medeiros 34.3110 0.7260
Renan Carlos 34.4610 0.8760
Murilo Assenato 34.5090 0.9240
Walter Rubens 34.5120 0.9270
Paulo Wesley 34.5960 1.0110

Practice 4 result



Game Assetto Corsa Competizione
Session Practice
Track silverstone_2019
Best lap Nilson Porto BR (01:57.7200)
Lasted laps 61
Host Unknown
Pos Driver Vehicle Laps Best lap Gap
1 Nilson Porto BR Car model 19 21 01:57.7200 -
2 Lucas Matheus Car model 23 44 01:58.8420 00:01.1220
3 Marcelo Machado Car model 22 61 01:59.0310 00:01.3110
4 Tiago Costa Car model 2 36 01:59.1060 00:01.3860
5 Michel Gico Car model 1 23 01:59.3520 00:01.6320
6 Vinicius Abel Car model 1 27 01:59.5620 00:01.8420
7 Paulo Preto Car model 1 26 01:59.5770 00:01.8570
8 Tony Gleibson Car model 8 9 01:59.9070 00:02.1870
9 Carlos Popo Car model 22 11 02:00.3210 00:02.6010
10 Janes Junior Car model 2 16 02:00.4200 00:02.7000
11 Michel Andrade Car model 19 26 02:00.6030 00:02.8830
12 Walter Rubens Car model 6 13 02:00.8340 00:03.1140
13 Walter Rubens Car model 15 6 02:01.6290 00:03.9090
14 Walter Rubens Car model 7 8 02:01.7670 00:04.0470
15 Edilson Medeiros Car model 21 9 02:02.1450 00:04.4250
16 Paulo Wesley Car model 17 9 02:03.3750 00:05.6550
17 Sergio Caramalaki Car model 8 19 02:04.0650 00:06.3450
18 Adriano Amorim Car model 20 40 02:04.2060 00:06.4860
19 Carlos Kovalsk Car model 7 0 - -
20 Elisson Chaves Car model 1 0 - -
21 Janes Junior Car model 4 0 - -
22 Allan Hellmann Car model 8 0 - -
23 Janes Junior Car model 16 0 - -
24 jucie zanine Car model 22 0 - -
25 Wagner Paim Car model 2 0 - -
26 Wagner Paim Car model 16 0 - -
27 Edilson Medeiros Car model 22 0 - -
28 Nilson Porto BR Car model 8 1 - -

Practice 4 laps

Bad lap, 107% rule compared to the overall best lap of the session. Excludes first lap for race sessions
Personal best lap/sector
Overall best lap/sector for a lap
Overall best lap/sector for a lap and personal best lap/sector
Overall best lap/sector
(P) Pit lap
Lap Vehicle Time Sector 1 Sector 2 Sector 3
Nilson Porto BR
1 Car model 19 - - - -
2 Car model 19 - - - -
3 Car model 19 - - - -
4 Car model 19 01:57.8430 35.0790 49.3920 33.3720
5 Car model 19 01:57.9630 34.8870 49.5450 33.5310
6 Car model 19 - - - -
7 Car model 19 01:58.2780 35.1210 49.6950 33.4620
8 Car model 19 01:58.4070 35.0400 49.7520 33.6150
9 Car model 19 - - - -
10 Car model 19 - - - -
11 Car model 19 - - - -
12 Car model 19 - - - -
13 Car model 19 01:57.7200 34.8270 49.4850 33.4080
14 Car model 19 - - - -
15 Car model 19 - - - -
16 Car model 19 - - - -
17 Car model 19 01:57.8610 34.8360 49.5600 33.4650
18 Car model 19 - - - -
19 Car model 19 - - - -
20 Car model 19 01:58.1040 34.9980 49.2990 33.8070
21 Car model 19 - - - -
Average   01:58.0252 34.9697 49.5326 33.5229
Best possible   01:57.4980 34.8270 49.2990 33.3720
Lucas Matheus
1 Car model 23 - - - -
2 Car model 23 - - - -
3 Car model 23 02:00.3870 35.4090 50.7930 34.1850
4 Car model 23 01:59.8380 35.4900 50.6550 33.6930
5 Car model 23 - - - -
6 Car model 23 - - - -
7 Car model 23 - - - -
8 Car model 23 - - - -
9 Car model 23 01:59.8770 35.7660 50.3190 33.7920
10 Car model 23 - - - -
11 Car model 23 01:59.9190 35.5560 50.5410 33.8220
12 Car model 23 01:59.3130 35.3070 50.3730 33.6330
13 Car model 23 - - - -
14 Car model 23 - - - -
15 Car model 23 01:59.7720 35.4810 50.6850 33.6060
16 Car model 23 - - - -
17 Car model 23 - - - -
18 Car model 23 - - - -
19 Car model 23 01:58.9620 35.3730 49.8750 33.7140
20 Car model 23 - - - -
21 Car model 23 - - - -
22 Car model 23 01:58.8420 35.4030 49.9320 33.5070
23 Car model 23 - - - -
24 Car model 23 02:02.6160 36.2790 50.4540 35.8830
25 Car model 23 - - - -
26 Car model 23 02:00.6300 35.5740 50.6910 34.3650
27 Car model 23 - - - -
28 Car model 23 - - - -
29 Car model 23 - - - -
30 Car model 23 - - - -
31 Car model 23 01:59.9490 35.6730 50.4600 33.8160
32 Car model 23 - - - -
33 Car model 23 02:00.4830 35.7900 50.5200 34.1730
34 Car model 23 - - - -
35 Car model 23 02:00.2700 35.6700 50.4540 34.1460
36 Car model 23 - - - -
37 Car model 23 02:00.7080 35.8980 50.8170 33.9930
38 Car model 23 - - - -
39 Car model 23 - - - -
40 Car model 23 01:58.9380 35.3430 49.8720 33.7230
41 Car model 23 - - - -
42 Car model 23 - - - -
43 Car model 23 02:00.1860 35.7990 50.5200 33.8670
44 Car model 23 02:00.3540 36.0540 50.2020 34.0980
Average   02:00.0614 35.6391 50.4214 34.0009
Best possible   01:58.6860 35.3070 49.8720 33.5070
Marcelo Machado
1 Car model 22 - - - -
2 Car model 22 - - - -
3 Car model 22 02:00.5820 35.4660 51.0630 34.0530
4 Car model 22 - - - -
5 Car model 22 02:01.2450 35.7600 51.3570 34.1280
6 Car model 22 - - - -
7 Car model 22 02:00.6150 35.2590 51.2430 34.1130
8 Car model 22 - - - -
9 Car model 22 - - - -
10 Car model 22 02:01.0110 35.9460 50.8290 34.2360
11 Car model 22 - - - -
12 Car model 22 02:00.8040 35.8200 51.0060 33.9780
13 Car model 22 - - - -
14 Car model 22 - - - -
15 Car model 22 02:00.6330 35.6550 50.9580 34.0200
16 Car model 22 - - - -
17 Car model 22 - - - -
18 Car model 22 - - - -
19 Car model 22 02:00.9810 35.6370 51.1290 34.2150
20 Car model 22 - - - -
21 Car model 22 02:00.0780 35.3640 50.7150 33.9990
22 Car model 22 02:01.1340 35.2260 51.7080 34.2000
23 Car model 22 02:00.1680 35.3070 50.8050 34.0560
24 Car model 22 02:00.6210 35.2950 51.1170 34.2090
25 Car model 22 02:01.9260 35.7240 52.0860 34.1160
26 Car model 22 - - - -
27 Car model 22 - - - -
28 Car model 22 - - - -
29 Car model 22 02:00.4260 35.2860 50.8290 34.3110
30 Car model 22 - - - -
31 Car model 22 - - - -
32 Car model 22 - - - -
33 Car model 22 - - - -
34 Car model 22 01:59.0310 35.0160 50.1120 33.9030
35 Car model 22 - - - -
36 Car model 22 - - - -
37 Car model 22 - - - -
38 Car model 22 - - - -
39 Car model 22 - - - -
40 Car model 22 02:00.2910 35.3640 50.8380 34.0890
41 Car model 22 02:00.7380 35.2770 51.2040 34.2570
42 Car model 22 - - - -
43 Car model 22 02:01.0170 35.2800 51.4530 34.2840
44 Car model 22 - - - -
45 Car model 22 - - - -
46 Car model 22 02:00.7260 35.3250 51.1830 34.2180
47 Car model 22 - - - -
48 Car model 22 - - - -
49 Car model 22 - - - -
50 Car model 22 - - - -
51 Car model 22 - - - -
52 Car model 22 - - - -
53 Car model 22 - - - -
54 Car model 22 - - - -
55 Car model 22 - - - -
56 Car model 22 - - - -
57 Car model 22 - - - -
58 Car model 22 01:59.2830 34.9260 50.2470 34.1100
59 Car model 22 - - - -
60 Car model 22 01:59.3310 34.9320 50.7810 33.6180
61 Car model 22 01:59.4480 34.8870 50.5080 34.0530
Average   02:00.4803 35.3691 51.0081 34.1031
Best possible   01:58.6170 34.8870 50.1120 33.6180
Tiago Costa
1 Car model 2 - - - -
2 Car model 2 - - - -
3 Car model 2 - - - -
4 Car model 2 - - - -
5 Car model 2 02:00.8340 35.7780 50.8260 34.2300
6 Car model 2 01:59.6040 35.2110 50.1210 34.2720
7 Car model 2 - - - -
8 Car model 2 01:59.3460 35.1900 50.3610 33.7950
9 Car model 2 01:59.1060 35.0220 50.0910 33.9930
10 Car model 2 - - - -
11 Car model 2 01:59.6940 35.3010 50.3520 34.0410
12 Car model 2 - - - -
13 Car model 2 - - - -
14 Car model 2 - - - -
15 Car model 2 - - - -
16 Car model 2 - - - -
17 Car model 2 02:02.6100 36.4350 51.5820 34.5930
18 Car model 2 02:00.7740 35.7090 50.8500 34.2150
19 Car model 2 - - - -
20 Car model 2 - - - -
21 Car model 2 - - - -
22 Car model 2 - - - -
23 Car model 2 - - - -
24 Car model 2 02:00.6510 35.5590 51.0540 34.0380
25 Car model 2 - - - -
26 Car model 2 02:00.0390 35.6400 50.4030 33.9960
27 Car model 2 - - - -
28 Car model 2 - - - -
29 Car model 2 - - - -
30 Car model 2 - - - -
31 Car model 2 - - - -
32 Car model 2 - - - -
33 Car model 2 - - - -
34 Car model 2 - - - -
35 Car model 2 - - - -
36 Car model 2 02:00.5880 35.4540 50.8380 34.2960
Average   02:00.3246 35.5299 50.6478 34.1469
Best possible   01:58.9080 35.0220 50.0910 33.7950
Michel Gico
1 Car model 1 - - - -
2 Car model 1 02:01.3230 35.7300 51.4260 34.1670
3 Car model 1 - - - -
4 Car model 1 - - - -
5 Car model 1 02:00.4350 35.4210 51.1500 33.8640
6 Car model 1 - - - -
7 Car model 1 01:59.8440 35.1960 50.8950 33.7530
8 Car model 1 - - - -
9 Car model 1 01:59.4570 35.2140 50.5080 33.7350
10 Car model 1 - - - -
11 Car model 1 - - - -
12 Car model 1 01:59.9850 35.3190 50.9220 33.7440
13 Car model 1 01:59.7420 35.2620 50.5560 33.9240
14 Car model 1 - - - -
15 Car model 1 - - - -
16 Car model 1 01:59.6220 35.5410 50.3430 33.7380
17 Car model 1 - - - -
18 Car model 1 01:59.3520 35.0040 50.4810 33.8670
19 Car model 1 - - - -
20 Car model 1 - - - -
21 Car model 1 - - - -
22 Car model 1 - - - -
23 Car model 1 - - - -
Average   01:59.9700 35.3359 50.7851 33.8490
Best possible   01:59.0820 35.0040 50.3430 33.7350
Vinicius Abel
1 Car model 1 - - - -
2 Car model 1 02:01.2120 35.5620 51.5970 34.0530
3 Car model 1 - - - -
4 Car model 1 - - - -
5 Car model 1 02:00.9000 35.2050 51.3960 34.2990
6 Car model 1 - - - -
7 Car model 1 02:03.8490 36.1230 53.2380 34.4880
8 Car model 1 - - - -
9 Car model 1 - - - -
10 Car model 1 - - - -
11 Car model 1 02:00.2190 35.2920 50.7930 34.1340
12 Car model 1 02:00.3360 35.3610 50.8020 34.1730
13 Car model 1 - - - -
14 Car model 1 - - - -
15 Car model 1 - - - -
16 Car model 1 - - - -
17 Car model 1 - - - -
18 Car model 1 - - - -
19 Car model 1 - - - -
20 Car model 1 01:59.5620 34.9500 50.5950 34.0170
21 Car model 1 - - - -
22 Car model 1 - - - -
23 Car model 1 - - - -
24 Car model 1 02:00.6720 35.6370 50.9520 34.0830
25 Car model 1 - - - -
26 Car model 1 - - - -
27 Car model 1 01:59.6760 34.9830 50.8890 33.8040
Average   02:00.8033 35.3891 51.2828 34.1314
Best possible   01:59.3490 34.9500 50.5950 33.8040
Paulo Preto
1 Car model 1 - - - -
2 Car model 1 02:01.0020 35.8620 51.1920 33.9480
3 Car model 1 02:00.8400 35.7960 50.9310 34.1130
4 Car model 1 - - - -
5 Car model 1 02:00.8910 35.6580 50.8800 34.3530
6 Car model 1 01:59.7930 35.4660 50.5620 33.7650
7 Car model 1 02:01.0620 35.4330 50.9640 34.6650
8 Car model 1 - - - -
9 Car model 1 02:01.2300 36.1950 50.9310 34.1040
10 Car model 1 - - - -
11 Car model 1 - - - -
12 Car model 1 - - - -
13 Car model 1 - - - -
14 Car model 1 - - - -
15 Car model 1 02:00.0990 35.4600 50.8680 33.7710
16 Car model 1 01:59.7060 35.1420 50.7150 33.8490
17 Car model 1 - - - -
18 Car model 1 01:59.6610 35.3550 50.5530 33.7530
19 Car model 1 - - - -
20 Car model 1 - - - -
21 Car model 1 - - - -
22 Car model 1 - - - -
23 Car model 1 02:00.7800 35.5710 51.1350 34.0740
24 Car model 1 - - - -
25 Car model 1 - - - -
26 Car model 1 01:59.5770 35.3040 50.5410 33.7320
Average   02:00.4219 35.5675 50.8429 34.0115
Best possible   01:59.4150 35.1420 50.5410 33.7320
Tony Gleibson
1 Car model 8 - - - -
2 Car model 8 - - - -
3 Car model 8 - - - -
4 Car model 8 02:00.4140 35.5980 50.9250 33.8910
5 Car model 8 - - - -
6 Car model 8 02:00.3990 35.2620 50.8590 34.2780
7 Car model 8 - - - -
8 Car model 8 01:59.9070 35.0760 50.8680 33.9630
9 Car model 8 01:59.9250 35.4570 50.3970 34.0710
Average   02:00.1614 35.3483 50.7623 34.0508
Best possible   01:59.3640 35.0760 50.3970 33.8910
Carlos Popo
1 Car model 22 - - - -
2 Car model 22 - - - -
3 Car model 22 02:00.3210 35.5380 50.5350 34.2480
4 Car model 22 - - - -
5 Car model 22 02:00.4920 35.3430 51.1200 34.0290
6 Car model 22 - - - -
7 Car model 22 - - - -
8 Car model 22 - - - -
9 Car model 22 - - - -
10 Car model 22 - - - -
11 Car model 22 02:01.3860 35.8320 51.1530 34.4010
Average   02:00.7330 35.5710 50.9360 34.2260
Best possible   01:59.9070 35.3430 50.5350 34.0290
Janes Junior
1 Car model 2 - - - -
2 Car model 2 - - - -
3 Car model 2 - - - -
4 Car model 2 - - - -
5 Car model 2 02:01.2120 36.0690 51.2580 33.8850
6 Car model 2 - - - -
7 Car model 2 - - - -
8 Car model 2 - - - -
9 Car model 2 02:00.8910 35.9340 50.8860 34.0710
10 Car model 2 - - - -
11 Car model 2 02:00.7050 35.9430 50.8380 33.9240
12 Car model 2 - - - -
13 Car model 2 - - - -
14 Car model 2 - - - -
15 Car model 2 - - - -
16 Car model 2 02:00.4200 35.5950 50.9640 33.8610
Average   02:00.8071 35.8853 50.9865 33.9353
Best possible   02:00.2940 35.5950 50.8380 33.8610
Michel Andrade
1 Car model 19 - - - -
2 Car model 19 - - - -
3 Car model 19 02:02.7600 36.3540 52.1910 34.2150
4 Car model 19 02:01.6950 36.0720 51.6450 33.9780
5 Car model 19 02:03.1050 36.9810 51.8820 34.2420
6 Car model 19 - - - -
7 Car model 19 02:02.4810 36.1320 52.1100 34.2390
8 Car model 19 02:03.1440 36.5760 52.4100 34.1580
9 Car model 19 02:01.7340 36.1140 51.4200 34.2000
10 Car model 19 02:02.2350 36.0150 52.0680 34.1520
11 Car model 19 - - - -
12 Car model 19 - - - -
13 Car model 19 02:01.4400 36.1950 51.3570 33.8880
14 Car model 19 02:00.6030 35.8050 50.8380 33.9600
15 Car model 19 - - - -
16 Car model 19 02:01.4220 36.0660 51.2160 34.1400
17 Car model 19 02:01.2480 35.9220 51.2820 34.0440
18 Car model 19 - - - -
19 Car model 19 02:01.0890 35.9010 51.2850 33.9030
20 Car model 19 - - - -
21 Car model 19 02:01.3410 35.8860 51.4770 33.9780
22 Car model 19 - - - -
23 Car model 19 - - - -
24 Car model 19 - - - -
25 Car model 19 02:02.2080 35.6430 52.7160 33.8490
26 Car model 19 02:02.4030 35.7810 52.5270 34.0950
Average   02:01.9272 36.0962 51.7616 34.0694
Best possible   02:00.3300 35.6430 50.8380 33.8490
Walter Rubens
1 Car model 6 - - - -
2 Car model 6 02:01.0860 35.9940 50.9820 34.1100
3 Car model 6 - - - -
4 Car model 6 02:01.7280 35.7450 51.8100 34.1730
5 Car model 6 - - - -
6 Car model 6 02:01.1610 35.8710 50.9430 34.3470
7 Car model 6 - - - -
8 Car model 6 02:01.4250 35.8350 51.4380 34.1520
9 Car model 6 02:00.8340 35.7900 50.9400 34.1040
10 Car model 6 - - - -
11 Car model 6 - - - -
12 Car model 6 02:01.3500 35.7090 51.3420 34.2990
13 Car model 6 02:01.0140 35.7780 51.1800 34.0560
Average   02:01.2283 35.8174 51.2336 34.1773
Best possible   02:00.7050 35.7090 50.9400 34.0560
Walter Rubens
1 Car model 15 - - - -
2 Car model 15 02:02.1240 35.9040 51.7380 34.4820
3 Car model 15 - - - -
4 Car model 15 - - - -
5 Car model 15 02:01.6500 35.7960 51.7020 34.1520
6 Car model 15 02:01.6290 35.7180 51.5430 34.3680
Average   02:01.8010 35.8060 51.6610 34.3340
Best possible   02:01.4130 35.7180 51.5430 34.1520
Walter Rubens
1 Car model 7 - - - -
2 Car model 7 02:02.5350 36.3420 51.8220 34.3710
3 Car model 7 02:02.0670 36.1620 51.6900 34.2150
4 Car model 7 02:01.7670 36.1350 51.4170 34.2150
5 Car model 7 02:03.8160 36.0390 51.3630 36.4140
6 Car model 7 - - - -
7 Car model 7 02:02.2800 36.0690 51.8130 34.3980
8 Car model 7 02:02.5440 36.0600 51.7920 34.6920
Average   02:02.5015 36.1345 51.6495 34.7175
Best possible   02:01.6170 36.0390 51.3630 34.2150
Edilson Medeiros
1 Car model 21 - - - -
2 Car model 21 02:04.8960 36.8040 53.5830 34.5090
3 Car model 21 - - - -
4 Car model 21 - - - -
5 Car model 21 02:02.7330 36.4680 51.8520 34.4130
6 Car model 21 - - - -
7 Car model 21 02:02.1450 36.3000 51.4590 34.3860
8 Car model 21 - - - -
9 Car model 21 - - - -
Average   02:03.2580 36.5240 52.2980 34.4360
Best possible   02:02.1450 36.3000 51.4590 34.3860
Paulo Wesley
1 Car model 17 - - - -
2 Car model 17 02:04.3620 37.0770 52.3500 34.9350
3 Car model 17 - - - -
4 Car model 17 02:03.4680 36.4650 52.0110 34.9920
5 Car model 17 - - - -
6 Car model 17 02:04.1430 36.7080 52.2210 35.2140
7 Car model 17 02:03.3750 36.4440 51.9270 35.0040
8 Car model 17 - - - -
9 Car model 17 02:06.3960 37.1220 53.9430 35.3310
Average   02:04.3488 36.7632 52.4904 35.0952
Best possible   02:03.3060 36.4440 51.9270 34.9350
Sergio Caramalaki
1 Car model 8 - - - -
2 Car model 8 02:07.3470 37.6590 54.5790 35.1090
3 Car model 8 02:05.2980 36.6990 53.7900 34.8090
4 Car model 8 02:05.6100 36.9240 53.8470 34.8390
5 Car model 8 02:05.7090 36.9510 53.6910 35.0670
6 Car model 8 02:05.0010 36.3480 53.5260 35.1270
7 Car model 8 - - - -
8 Car model 8 02:04.9140 37.1520 53.0820 34.6800
9 Car model 8 - - - -
10 Car model 8 02:04.8030 36.4650 53.2620 35.0760
11 Car model 8 02:05.1840 36.8880 53.2440 35.0520
12 Car model 8 02:04.0650 36.5460 52.8090 34.7100
13 Car model 8 - - - -
14 Car model 8 - - - -
15 Car model 8 02:04.5840 36.2850 53.3940 34.9050
16 Car model 8 - - - -
17 Car model 8 02:05.9970 37.4760 53.5560 34.9650
18 Car model 8 02:04.8030 36.9450 53.0460 34.8120
19 Car model 8 02:05.9820 36.8250 53.9430 35.2140
Average   02:05.3306 36.8587 53.5207 34.9512
Best possible   02:03.7740 36.2850 52.8090 34.6800
Adriano Amorim
1 Car model 20 - - - -
2 Car model 20 - - - -
3 Car model 20 02:06.7230 37.2570 54.1350 35.3310
4 Car model 20 - - - -
5 Car model 20 - - - -
6 Car model 20 - - - -
7 Car model 20 02:07.0020 37.1220 54.2850 35.5950
8 Car model 20 - - - -
9 Car model 20 - - - -
10 Car model 20 - - - -
11 Car model 20 02:05.9790 38.1150 52.8780 34.9860
12 Car model 20 02:04.2060 36.9930 52.4580 34.7550
13 Car model 20 02:06.1680 36.9750 53.7090 35.4840
14 Car model 20 - - - -
15 Car model 20 02:06.8730 37.3710 54.4260 35.0760
16 Car model 20 - - - -
17 Car model 20 02:05.4030 37.1730 53.4510 34.7790
18 Car model 20 - - - -
19 Car model 20 02:09.0450 37.4820 54.8850 36.6780
20 Car model 20 02:04.5720 36.8490 52.8870 34.8360
21 Car model 20 - - - -
22 Car model 20 - - - -
23 Car model 20 - - - -
24 Car model 20 02:05.3160 36.9840 53.0250 35.3070
25 Car model 20 - - - -
26 Car model 20 - - - -
27 Car model 20 02:06.6060 37.9800 53.5860 35.0400
28 Car model 20 - - - -
29 Car model 20 - - - -
30 Car model 20 - - - -
31 Car model 20 - - - -
32 Car model 20 - - - -
33 Car model 20 - - - -
34 Car model 20 - - - -
35 Car model 20 - - - -
36 Car model 20 - - - -
37 Car model 20 - - - -
38 Car model 20 - - - -
39 Car model 20 - - - -
40 Car model 20 - - - -
Average   02:06.1721 37.3001 53.6114 35.2606
Best possible   02:04.0620 36.8490 52.4580 34.7550
Carlos Kovalsk
No laps for this driver
Elisson Chaves
No laps for this driver
Janes Junior
No laps for this driver
Allan Hellmann
No laps for this driver
Janes Junior
No laps for this driver
jucie zanine
No laps for this driver
Wagner Paim
No laps for this driver
Wagner Paim
No laps for this driver
Edilson Medeiros
No laps for this driver
Nilson Porto BR
1 Car model 8 - - - -

Practice 4 best laps

Overall top (20)
Driver Vehicle Time Gap
Nilson Porto BR Car model 19 01:57.7200
Nilson Porto BR Car model 19 01:57.8430 0.123
Nilson Porto BR Car model 19 01:57.8610 0.141
Nilson Porto BR Car model 19 01:57.9630 0.243
Nilson Porto BR Car model 19 01:58.1040 0.384
Nilson Porto BR Car model 19 01:58.2780 0.558
Nilson Porto BR Car model 19 01:58.4070 0.687
Lucas Matheus Car model 23 01:58.8420 1.122
Lucas Matheus Car model 23 01:58.9380 1.218
Lucas Matheus Car model 23 01:58.9620 1.242
Marcelo Machado Car model 22 01:59.0310 1.311
Tiago Costa Car model 2 01:59.1060 1.386
Marcelo Machado Car model 22 01:59.2830 1.563
Lucas Matheus Car model 23 01:59.3130 1.593
Marcelo Machado Car model 22 01:59.3310 1.611
Tiago Costa Car model 2 01:59.3460 1.626
Michel Gico Car model 1 01:59.3520 1.632
Marcelo Machado Car model 22 01:59.4480 1.728
Michel Gico Car model 1 01:59.4570 1.737
Vinicius Abel Car model 1 01:59.5620 1.842
Per driver
Driver Vehicle Time Gap
Nilson Porto BR Car model 19 01:57.7200
Lucas Matheus Car model 23 01:58.8420 1.122
Marcelo Machado Car model 22 01:59.0310 1.311
Tiago Costa Car model 2 01:59.1060 1.386
Michel Gico Car model 1 01:59.3520 1.632
Vinicius Abel Car model 1 01:59.5620 1.842
Paulo Preto Car model 1 01:59.5770 1.857
Tony Gleibson Car model 8 01:59.9070 2.187
Carlos Popo Car model 22 02:00.3210 2.601
Janes Junior Car model 2 02:00.4200 2.7
Michel Andrade Car model 19 02:00.6030 2.883
Walter Rubens Car model 6 02:00.8340 3.114
Walter Rubens Car model 15 02:01.6290 3.909
Walter Rubens Car model 7 02:01.7670 4.047
Edilson Medeiros Car model 21 02:02.1450 4.425
Paulo Wesley Car model 17 02:03.3750 5.655
Sergio Caramalaki Car model 8 02:04.0650 6.345
Adriano Amorim Car model 20 02:04.2060 6.486

Practice 4 consistency

Driver Vehicle Consistency
Walter Rubens Car model 15 99.79% <> 0.258
Tony Gleibson Car model 8 99.72% <> 0.339
Nilson Porto BR Car model 19 99.70% <> 0.356
Walter Rubens Car model 6 99.62% <> 0.46
Janes Junior Car model 2 99.57% <> 0.516
Carlos Popo Car model 22 99.49% <> 0.618
Michel Gico Car model 1 99.41% <> 0.7063
Walter Rubens Car model 7 99.28% <> 0.8814
Paulo Preto Car model 1 99.22% <> 0.9294
Paulo Wesley Car model 17 99.01% <> 1.2172
Lucas Matheus Car model 23 98.91% <> 1.2956
Tiago Costa Car model 2 98.86% <> 1.354
Sergio Caramalaki Car model 8 98.89% <> 1.371
Vinicius Abel Car model 1 98.81% <> 1.4186
Michel Andrade Car model 19 98.82% <> 1.4188
Marcelo Machado Car model 22 98.72% <> 1.5219
Edilson Medeiros Car model 21 98.63% <> 1.6695
Adriano Amorim Car model 20 98.26% <> 2.1627
Carlos Kovalsk Car model 7 -
Elisson Chaves Car model 1 -
Janes Junior Car model 4 -
Allan Hellmann Car model 8 -
Janes Junior Car model 16 -
jucie zanine Car model 22 -
Wagner Paim Car model 2 -
Wagner Paim Car model 16 -
Edilson Medeiros Car model 22 -
Nilson Porto BR Car model 8 -

Practice 4 sectors

Sector 1
Driver Time Gap
Nilson Porto BR 34.8270 -
Marcelo Machado 34.8870 0.0600
Vinicius Abel 34.9500 0.1230
Michel Gico 35.0040 0.1770
Tiago Costa 35.0220 0.1950
Tony Gleibson 35.0760 0.2490
Paulo Preto 35.1420 0.3150
Lucas Matheus 35.3070 0.4800
Carlos Popo 35.3430 0.5160
Janes Junior 35.5950 0.7680
Michel Andrade 35.6430 0.8160
Walter Rubens 35.7090 0.8820
Walter Rubens 35.7180 0.8910
Walter Rubens 36.0390 1.2120
Sergio Caramalaki 36.2850 1.4580
Edilson Medeiros 36.3000 1.4730
Paulo Wesley 36.4440 1.6170
Adriano Amorim 36.8490 2.0220
Sector 2
Driver Time Gap
Nilson Porto BR 49.2990 -
Lucas Matheus 49.8720 0.5730
Tiago Costa 50.0910 0.7920
Marcelo Machado 50.1120 0.8130
Michel Gico 50.3430 1.0440
Tony Gleibson 50.3970 1.0980
Carlos Popo 50.5350 1.2360
Paulo Preto 50.5410 1.2420
Vinicius Abel 50.5950 1.2960
Janes Junior 50.8380 1.5390
Michel Andrade 50.8380 1.5390
Walter Rubens 50.9400 1.6410
Walter Rubens 51.3630 2.0640
Edilson Medeiros 51.4590 2.1600
Walter Rubens 51.5430 2.2440
Paulo Wesley 51.9270 2.6280
Adriano Amorim 52.4580 3.1590
Sergio Caramalaki 52.8090 3.5100
Sector 3
Driver Time Gap
Nilson Porto BR 33.3720 -
Lucas Matheus 33.5070 0.1350
Marcelo Machado 33.6180 0.2460
Paulo Preto 33.7320 0.3600
Michel Gico 33.7350 0.3630
Tiago Costa 33.7950 0.4230
Vinicius Abel 33.8040 0.4320
Michel Andrade 33.8490 0.4770
Janes Junior 33.8610 0.4890
Tony Gleibson 33.8910 0.5190
Carlos Popo 34.0290 0.6570
Walter Rubens 34.0560 0.6840
Walter Rubens 34.1520 0.7800
Walter Rubens 34.2150 0.8430
Edilson Medeiros 34.3860 1.0140
Sergio Caramalaki 34.6800 1.3080
Adriano Amorim 34.7550 1.3830
Paulo Wesley 34.9350 1.5630

Practice 5 result



Game Assetto Corsa Competizione
Session Practice
Track silverstone_2019
Best lap Michel Gico (01:59.6100)
Lasted laps 39
Host Unknown
Pos Driver Vehicle Laps Best lap Gap
1 Michel Gico Car model 1 17 01:59.6100 -
2 Tony Gleibson Car model 8 26 01:59.8620 00:00.2520
3 Elisson Chaves Car model 1 34 01:59.9070 00:00.2970
4 Nilson Porto BR Car model 19 18 02:00.0300 00:00.4200
5 Carlos Popo Car model 22 11 02:00.3030 00:00.6930
6 jucie zanine Car model 22 10 02:00.5370 00:00.9270
7 Michel Andrade Car model 19 39 02:00.8430 00:01.2330
8 Janes Junior Car model 2 8 02:01.1550 00:01.5450
9 Allan Hellmann Car model 8 14 02:01.9170 00:02.3070
10 Janes Junior Car model 16 6 02:02.1000 00:02.4900
11 Janes Junior Car model 4 21 02:02.1690 00:02.5590
12 Wagner Paim Car model 2 3 02:02.4870 00:02.8770
13 Paulo Wesley Car model 17 17 02:03.9180 00:04.3080
14 Edilson Medeiros Car model 21 2 02:05.3640 00:05.7540
15 Sergio Caramalaki Car model 8 3 02:05.7180 00:06.1080
16 Carlos Kovalsk Car model 7 15 02:06.2880 00:06.6780
17 Wagner Paim Car model 16 1 - -
18 Marcelo Machado Car model 22 1 - -

Practice 5 laps

Bad lap, 107% rule compared to the overall best lap of the session. Excludes first lap for race sessions
Personal best lap/sector
Overall best lap/sector for a lap
Overall best lap/sector for a lap and personal best lap/sector
Overall best lap/sector
(P) Pit lap
Lap Vehicle Time Sector 1 Sector 2 Sector 3
Michel Gico
1 Car model 1 - - - -
2 Car model 1 - - - -
3 Car model 1 - - - -
4 Car model 1 02:01.9800 36.2040 51.5160 34.2600
5 Car model 1 - - - -
6 Car model 1 02:00.8280 35.7480 51.1740 33.9060
7 Car model 1 02:00.4380 35.6700 50.8380 33.9300
8 Car model 1 - - - -
9 Car model 1 02:00.6600 35.8290 50.9820 33.8490
10 Car model 1 - - - -
11 Car model 1 01:59.9280 35.5680 50.5050 33.8550
12 Car model 1 02:00.2160 35.5920 50.8170 33.8070
13 Car model 1 - - - -
14 Car model 1 - - - -
15 Car model 1 01:59.6100 35.2740 50.6550 33.6810
16 Car model 1 - - - -
17 Car model 1 - - - -
Average   02:00.5229 35.6979 50.9267 33.8983
Best possible   01:59.4600 35.2740 50.5050 33.6810
Tony Gleibson
1 Car model 8 - - - -
2 Car model 8 02:01.5960 35.7300 51.7110 34.1550
3 Car model 8 - - - -
4 Car model 8 - - - -
5 Car model 8 02:01.9140 36.1110 51.2130 34.5900
6 Car model 8 - - - -
7 Car model 8 02:01.6680 35.5770 51.5670 34.5240
8 Car model 8 - - - -
9 Car model 8 02:01.4190 35.9190 51.1650 34.3350
10 Car model 8 02:00.8820 35.4930 51.2670 34.1220
11 Car model 8 02:00.8100 35.7930 50.9580 34.0590
12 Car model 8 - - - -
13 Car model 8 02:00.1080 35.2800 50.9520 33.8760
14 Car model 8 - - - -
15 Car model 8 - - - -
16 Car model 8 - - - -
17 Car model 8 - - - -
18 Car model 8 - - - -
19 Car model 8 - - - -
20 Car model 8 - - - -
21 Car model 8 02:00.1290 35.3370 50.8470 33.9450
22 Car model 8 02:09.9840 35.8920 59.7030 34.3890
23 Car model 8 02:00.0810 35.2710 50.8080 34.0020
24 Car model 8 02:00.4230 35.6100 50.7720 34.0410
25 Car model 8 - - - -
26 Car model 8 01:59.8620 35.3970 50.3700 34.0950
Average   02:01.5731 35.6175 51.7778 34.1778
Best possible   01:59.5170 35.2710 50.3700 33.8760
Elisson Chaves
1 Car model 1 - - - -
2 Car model 1 - - - -
3 Car model 1 - - - -
4 Car model 1 - - - -
5 Car model 1 - - - -
6 Car model 1 02:00.5850 35.5890 51.1860 33.8100
7 Car model 1 - - - -
8 Car model 1 - - - -
9 Car model 1 02:01.3890 36.2310 51.3510 33.8070
10 Car model 1 - - - -
11 Car model 1 - - - -
12 Car model 1 02:02.5260 35.8560 52.2600 34.4100
13 Car model 1 02:01.0440 35.7810 51.1620 34.1010
14 Car model 1 02:00.6810 35.5020 50.9490 34.2300
15 Car model 1 - - - -
16 Car model 1 - - - -
17 Car model 1 - - - -
18 Car model 1 - - - -
19 Car model 1 02:00.6150 35.5140 51.2430 33.8580
20 Car model 1 02:00.0360 35.3340 50.9760 33.7260
21 Car model 1 - - - -
22 Car model 1 - - - -
23 Car model 1 - - - -
24 Car model 1 - - - -
25 Car model 1 01:59.9460 35.4900 50.7660 33.6900
26 Car model 1 - - - -
27 Car model 1 - - - -
28 Car model 1 - - - -
29 Car model 1 - - - -
30 Car model 1 - - - -
31 Car model 1 - - - -
32 Car model 1 01:59.9070 35.4510 50.8470 33.6090
33 Car model 1 - - - -
34 Car model 1 - - - -
Average   02:00.7477 35.6387 51.1933 33.9157
Best possible   01:59.7090 35.3340 50.7660 33.6090
Nilson Porto BR
1 Car model 19 - - - -
2 Car model 19 - - - -
3 Car model 19 - - - -
4 Car model 19 02:02.3760 35.7210 51.6330 35.0220
5 Car model 19 - - - -
6 Car model 19 02:01.2480 35.8770 51.1110 34.2600
7 Car model 19 - - - -
8 Car model 19 - - - -
9 Car model 19 02:00.5100 35.8260 50.7060 33.9780
10 Car model 19 02:00.5070 35.5620 50.9970 33.9480
11 Car model 19 02:00.1980 35.6640 50.4270 34.1070
12 Car model 19 02:00.0300 35.4060 50.6610 33.9630
13 Car model 19 - - - -
14 Car model 19 - - - -
15 Car model 19 - - - -
16 Car model 19 - - - -
17 Car model 19 - - - -
18 Car model 19 - - - -
Average   02:00.8115 35.6760 50.9225 34.2130
Best possible   01:59.7810 35.4060 50.4270 33.9480
Carlos Popo
1 Car model 22 - - - -
2 Car model 22 - - - -
3 Car model 22 - - - -
4 Car model 22 - - - -
5 Car model 22 - - - -
6 Car model 22 - - - -
7 Car model 22 02:00.5940 35.7210 50.8800 33.9930
8 Car model 22 02:00.3030 35.5230 50.7960 33.9840
9 Car model 22 - - - -
10 Car model 22 02:01.0020 35.4480 51.0540 34.5000
11 Car model 22 - - - -
Average   02:00.6330 35.5640 50.9100 34.1590
Best possible   02:00.2280 35.4480 50.7960 33.9840
jucie zanine
1 Car model 22 - - - -
2 Car model 22 02:01.9410 36.1350 51.5460 34.2600
3 Car model 22 - - - -
4 Car model 22 02:01.5570 35.6700 51.3960 34.4910
5 Car model 22 02:00.5370 35.8140 50.6790 34.0440
6 Car model 22 - - - -
7 Car model 22 - - - -
8 Car model 22 02:04.8660 36.3450 54.0000 34.5210
9 Car model 22 - - - -
10 Car model 22 - - - -
Average   02:02.2253 35.9910 51.9053 34.3290
Best possible   02:00.3930 35.6700 50.6790 34.0440
Michel Andrade
1 Car model 19 - - - -
2 Car model 19 02:00.9540 35.8710 51.0990 33.9840
3 Car model 19 - - - -
4 Car model 19 02:02.0790 36.3330 51.7350 34.0110
5 Car model 19 - - - -
6 Car model 19 - - - -
7 Car model 19 - - - -
8 Car model 19 - - - -
9 Car model 19 02:01.8720 35.7990 51.9510 34.1220
10 Car model 19 02:01.1070 35.7480 51.4110 33.9480
11 Car model 19 02:01.2300 36.0660 51.1470 34.0170
12 Car model 19 02:05.1510 36.6270 54.4230 34.1010
13 Car model 19 - - - -
14 Car model 19 - - - -
15 Car model 19 - - - -
16 Car model 19 02:01.2780 35.9250 51.3930 33.9600
17 Car model 19 - - - -
18 Car model 19 02:01.0980 35.6910 51.5100 33.8970
19 Car model 19 - - - -
20 Car model 19 02:01.6620 36.3480 51.3270 33.9870
21 Car model 19 02:01.2750 35.6520 51.4290 34.1940
22 Car model 19 - - - -
23 Car model 19 02:01.6740 35.8410 51.6300 34.2030
24 Car model 19 02:00.8430 35.7390 51.1740 33.9300
25 Car model 19 - - - -
26 Car model 19 02:00.8460 35.7690 51.3150 33.7620
27 Car model 19 02:00.9420 35.8650 51.2160 33.8610
28 Car model 19 - - - -
29 Car model 19 02:01.8870 36.0600 51.5730 34.2540
30 Car model 19 - - - -
31 Car model 19 - - - -
32 Car model 19 - - - -
33 Car model 19 - - - -
34 Car model 19 02:03.1830 36.6540 52.0380 34.4910
35 Car model 19 02:02.7270 36.4410 51.8940 34.3920
36 Car model 19 02:02.1690 36.2670 51.7560 34.1460
37 Car model 19 - - - -
38 Car model 19 - - - -
39 Car model 19 - - - -
Average   02:01.7765 36.0387 51.6678 34.0700
Best possible   02:00.5130 35.6520 51.0990 33.7620
Janes Junior
1 Car model 2 - - - -
2 Car model 2 - - - -
3 Car model 2 02:01.7880 36.2970 51.2760 34.2150
4 Car model 2 - - - -
5 Car model 2 02:01.4520 36.2940 51.0840 34.0740
6 Car model 2 02:01.1550 35.9160 51.2220 34.0170
7 Car model 2 - - - -
8 Car model 2 02:01.2660 36.1620 50.9850 34.1190
Average   02:01.4154 36.1673 51.1418 34.1063
Best possible   02:00.9180 35.9160 50.9850 34.0170
Allan Hellmann
1 Car model 8 - - - -
2 Car model 8 02:03.3000 36.3690 52.5630 34.3680
3 Car model 8 02:03.0570 36.4020 51.7800 34.8750
4 Car model 8 02:01.9170 36.1110 51.4770 34.3290
5 Car model 8 - - - -
6 Car model 8 02:02.6100 35.9040 52.1880 34.5180
7 Car model 8 - - - -
8 Car model 8 02:02.0100 35.7330 51.8430 34.4340
9 Car model 8 - - - -
10 Car model 8 - - - -
11 Car model 8 - - - -
12 Car model 8 - - - -
13 Car model 8 - - - -
14 Car model 8 - - - -
Average   02:02.5788 36.1038 51.9702 34.5048
Best possible   02:01.5390 35.7330 51.4770 34.3290
Janes Junior
1 Car model 16 - - - -
2 Car model 16 02:02.5230 36.5130 51.8970 34.1130
3 Car model 16 - - - -
4 Car model 16 02:02.1000 36.4140 51.4650 34.2210
5 Car model 16 - - - -
6 Car model 16 - - - -
Average   02:02.3115 36.4635 51.6810 34.1670
Best possible   02:01.9920 36.4140 51.4650 34.1130
Janes Junior
1 Car model 4 - - - -
2 Car model 4 - - - -
3 Car model 4 - - - -
4 Car model 4 02:04.9380 37.8420 52.6410 34.4550
5 Car model 4 - - - -
6 Car model 4 - - - -
7 Car model 4 - - - -
8 Car model 4 - - - -
9 Car model 4 - - - -
10 Car model 4 - - - -
11 Car model 4 02:03.3780 36.7020 52.3860 34.2900
12 Car model 4 02:04.2660 37.0710 52.9290 34.2660
13 Car model 4 02:03.2130 36.7560 52.0620 34.3950
14 Car model 4 02:03.2430 36.6270 52.2720 34.3440
15 Car model 4 02:03.0840 36.5340 52.1940 34.3560
16 Car model 4 - - - -
17 Car model 4 - - - -
18 Car model 4 02:02.1690 36.2760 51.8580 34.0350
19 Car model 4 - - - -
20 Car model 4 - - - -
21 Car model 4 - - - -
Average   02:03.4702 36.8297 52.3346 34.3059
Best possible   02:02.1690 36.2760 51.8580 34.0350
Wagner Paim
1 Car model 2 - - - -
2 Car model 2 02:02.4870 36.2190 51.8430 34.4250
3 Car model 2 - - - -
Average   02:02.4870 36.2190 51.8430 34.4250
Best possible   02:02.4870 36.2190 51.8430 34.4250
Paulo Wesley
1 Car model 17 - - - -
2 Car model 17 - - - -
3 Car model 17 02:09.4350 38.0970 54.5580 36.7800
4 Car model 17 02:07.1760 37.6140 53.5560 36.0060
5 Car model 17 02:06.4500 37.2360 53.6400 35.5740
6 Car model 17 02:06.4680 37.3380 53.5650 35.5650
7 Car model 17 02:05.9370 37.0440 53.3850 35.5080
8 Car model 17 - - - -
9 Car model 17 - - - -
10 Car model 17 02:05.3580 37.2930 53.2020 34.8630
11 Car model 17 - - - -
12 Car model 17 - - - -
13 Car model 17 02:04.7250 37.1460 52.6260 34.9530
14 Car model 17 02:03.9180 36.7590 52.2600 34.8990
15 Car model 17 - - - -
16 Car model 17 - - - -
17 Car model 17 02:05.0040 36.4710 52.8150 35.7180
Average   02:06.0524 37.2220 53.2897 35.5407
Best possible   02:03.5940 36.4710 52.2600 34.8630
Edilson Medeiros
1 Car model 21 - - - -
2 Car model 21 02:05.3640 37.0950 54.0390 34.2300
Average   02:05.3640 37.0950 54.0390 34.2300
Best possible   02:05.3640 37.0950 54.0390 34.2300
Sergio Caramalaki
1 Car model 8 - - - -
2 Car model 8 02:07.4460 37.6350 54.7860 35.0250
3 Car model 8 02:05.7180 37.5480 53.1090 35.0610
Average   02:06.5820 37.5915 53.9475 35.0430
Best possible   02:05.6820 37.5480 53.1090 35.0250
Carlos Kovalsk
1 Car model 7 - - - -
2 Car model 7 - - - -
3 Car model 7 02:11.0460 38.3370 56.3520 36.3570
4 Car model 7 - - - -
5 Car model 7 - - - -
6 Car model 7 02:09.3330 38.0910 55.4190 35.8230
7 Car model 7 02:07.2600 37.3440 54.0690 35.8470
8 Car model 7 - - - -
9 Car model 7 02:08.7600 37.2750 55.7730 35.7120
10 Car model 7 02:06.9150 37.1250 54.3750 35.4150
11 Car model 7 02:06.2880 37.5990 53.2740 35.4150
12 Car model 7 02:07.3590 37.4910 54.0360 35.8320
13 Car model 7 02:07.2960 37.5240 54.8970 34.8750
14 Car model 7 02:06.9690 38.1750 53.9130 34.8810
15 Car model 7 - - - -
Average   02:07.9140 37.6623 54.6787 35.5730
Best possible   02:05.2740 37.1250 53.2740 34.8750
Wagner Paim
1 Car model 16 - - - -
Marcelo Machado
1 Car model 22 - - - -

Practice 5 best laps

Overall top (20)
Driver Vehicle Time Gap
Michel Gico Car model 1 01:59.6100
Tony Gleibson Car model 8 01:59.8620 0.252
Elisson Chaves Car model 1 01:59.9070 0.297
Michel Gico Car model 1 01:59.9280 0.318
Elisson Chaves Car model 1 01:59.9460 0.336
Nilson Porto BR Car model 19 02:00.0300 0.42
Elisson Chaves Car model 1 02:00.0360 0.426
Tony Gleibson Car model 8 02:00.0810 0.471
Tony Gleibson Car model 8 02:00.1080 0.498
Tony Gleibson Car model 8 02:00.1290 0.519
Nilson Porto BR Car model 19 02:00.1980 0.588
Michel Gico Car model 1 02:00.2160 0.606
Carlos Popo Car model 22 02:00.3030 0.693
Tony Gleibson Car model 8 02:00.4230 0.813
Michel Gico Car model 1 02:00.4380 0.828
Nilson Porto BR Car model 19 02:00.5070 0.897
Nilson Porto BR Car model 19 02:00.5100 0.9
jucie zanine Car model 22 02:00.5370 0.927
Elisson Chaves Car model 1 02:00.5850 0.975
Carlos Popo Car model 22 02:00.5940 0.984
Per driver
Driver Vehicle Time Gap
Michel Gico Car model 1 01:59.6100
Tony Gleibson Car model 8 01:59.8620 0.252
Elisson Chaves Car model 1 01:59.9070 0.297
Nilson Porto BR Car model 19 02:00.0300 0.42
Carlos Popo Car model 22 02:00.3030 0.693
jucie zanine Car model 22 02:00.5370 0.927
Michel Andrade Car model 19 02:00.8430 1.233
Janes Junior Car model 2 02:01.1550 1.545
Allan Hellmann Car model 8 02:01.9170 2.307
Janes Junior Car model 16 02:02.1000 2.49
Janes Junior Car model 4 02:02.1690 2.559
Wagner Paim Car model 2 02:02.4870 2.877
Paulo Wesley Car model 17 02:03.9180 4.308
Edilson Medeiros Car model 21 02:05.3640 5.754
Sergio Caramalaki Car model 8 02:05.7180 6.108
Carlos Kovalsk Car model 7 02:06.2880 6.678

Practice 5 consistency

Driver Vehicle Consistency
Janes Junior Car model 2 99.71% <> 0.347
Janes Junior Car model 16 99.65% <> 0.423
Carlos Popo Car model 22 99.59% <> 0.495
Allan Hellmann Car model 8 99.32% <> 0.8272
Nilson Porto BR Car model 19 99.22% <> 0.9378
Elisson Chaves Car model 1 99.21% <> 0.9458
Michel Andrade Car model 19 99.18% <> 0.9884
Michel Gico Car model 1 99.11% <> 1.065
Janes Junior Car model 4 98.76% <> 1.518
Sergio Caramalaki Car model 8 98.63% <> 1.728
Carlos Kovalsk Car model 7 98.55% <> 1.8293
Tony Gleibson Car model 8 98.44% <> 1.8665
jucie zanine Car model 22 98.13% <> 2.251
Paulo Wesley Car model 17 98.06% <> 2.4011
Wagner Paim Car model 2 -
Edilson Medeiros Car model 21 -
Wagner Paim Car model 16 -
Marcelo Machado Car model 22 -

Practice 5 sectors

Sector 1
Driver Time Gap
Tony Gleibson 35.2710 -
Michel Gico 35.2740 0.0030
Elisson Chaves 35.3340 0.0630
Nilson Porto BR 35.4060 0.1350
Carlos Popo 35.4480 0.1770
Michel Andrade 35.6520 0.3810
jucie zanine 35.6700 0.3990
Allan Hellmann 35.7330 0.4620
Janes Junior 35.9160 0.6450
Wagner Paim 36.2190 0.9480
Janes Junior 36.2760 1.0050
Janes Junior 36.4140 1.1430
Paulo Wesley 36.4710 1.2000
Edilson Medeiros 37.0950 1.8240
Carlos Kovalsk 37.1250 1.8540
Sergio Caramalaki 37.5480 2.2770
Sector 2
Driver Time Gap
Tony Gleibson 50.3700 -
Nilson Porto BR 50.4270 0.0570
Michel Gico 50.5050 0.1350
jucie zanine 50.6790 0.3090
Elisson Chaves 50.7660 0.3960
Carlos Popo 50.7960 0.4260
Janes Junior 50.9850 0.6150
Michel Andrade 51.0990 0.7290
Janes Junior 51.4650 1.0950
Allan Hellmann 51.4770 1.1070
Wagner Paim 51.8430 1.4730
Janes Junior 51.8580 1.4880
Paulo Wesley 52.2600 1.8900
Sergio Caramalaki 53.1090 2.7390
Carlos Kovalsk 53.2740 2.9040
Edilson Medeiros 54.0390 3.6690
Sector 3
Driver Time Gap
Elisson Chaves 33.6090 -
Michel Gico 33.6810 0.0720
Michel Andrade 33.7620 0.1530
Tony Gleibson 33.8760 0.2670
Nilson Porto BR 33.9480 0.3390
Carlos Popo 33.9840 0.3750
Janes Junior 34.0170 0.4080
Janes Junior 34.0350 0.4260
jucie zanine 34.0440 0.4350
Janes Junior 34.1130 0.5040
Edilson Medeiros 34.2300 0.6210
Allan Hellmann 34.3290 0.7200
Wagner Paim 34.4250 0.8160
Paulo Wesley 34.8630 1.2540
Carlos Kovalsk 34.8750 1.2660
Sergio Caramalaki 35.0250 1.4160

Practice 5 penalties

Date Penalty
jucie zanine - Trolling - StopAndGo_30 - violation in lap 9 - cleared in lap 9

Practice 6 result



Game Assetto Corsa Competizione
Session Practice
Track silverstone_2019
Best lap Nilson Porto BR (01:58.0170)
Lasted laps 56
Host Unknown
Pos Driver Vehicle Laps Best lap Gap
1 Nilson Porto BR Car model 19 39 01:58.0170 -
2 jucie zanine Car model 22 56 01:58.5330 00:00.5160
3 Michel Gico Car model 1 39 01:58.7160 00:00.6990
4 Tiago Costa Car model 2 37 01:58.9140 00:00.8970
5 Marcelo Machado Car model 22 39 01:59.0070 00:00.9900
6 Lucas Matheus Car model 23 25 01:59.0550 00:01.0380
7 Paulo Preto Car model 1 25 01:59.5470 00:01.5300
8 Tony Gleibson Car model 8 12 01:59.8920 00:01.8750
9 Luis Carlos D Matias Car model 16 18 02:00.1170 00:02.1000
10 Gilberto Rincha Car model 12 9 02:00.4860 00:02.4690
11 Walter Rubens Car model 20 29 02:00.8670 00:02.8500
12 Beto Dalla Stella Car model 16 6 02:01.4250 00:03.4080
13 IRINEU DEGASPERI Car model 7 22 02:01.5900 00:03.5730
14 Edilson Medeiros Car model 21 42 02:01.9710 00:03.9540
15 Tony Gleibson Car model 21 3 02:03.4710 00:05.4540
16 Paulo Wesley Car model 17 10 02:04.2810 00:06.2640
17 Sergio Caramalaki Car model 8 34 02:04.3920 00:06.3750
18 Renan Carlos Car model 8 4 02:04.4250 00:06.4080
19 Murilo Assenato Car model 22 4 02:04.4670 00:06.4500
20 Francis Hartstein Car model 2 8 02:06.7980 00:08.7810
21 Edilson Medeiros Car model 22 0 - -
22 Edilson Medeiros Car model 20 0 - -
23 Toninho Motta Car model 6 0 - -

Practice 6 laps

Bad lap, 107% rule compared to the overall best lap of the session. Excludes first lap for race sessions
Personal best lap/sector
Overall best lap/sector for a lap
Overall best lap/sector for a lap and personal best lap/sector
Overall best lap/sector
(P) Pit lap
Lap Vehicle Time Sector 1 Sector 2 Sector 3
Nilson Porto BR
1 Car model 19 - - - -
2 Car model 19 - - - -
3 Car model 19 - - - -
4 Car model 19 01:58.5990 35.0250 49.7310 33.8430
5 Car model 19 01:58.5780 34.8630 49.8210 33.8940
6 Car model 19 - - - -
7 Car model 19 - - - -
8 Car model 19 - - - -
9 Car model 19 01:59.0790 35.4330 49.8990 33.7470
10 Car model 19 01:58.8120 35.1690 49.9020 33.7410
11 Car model 19 - - - -
12 Car model 19 - - - -
13 Car model 19 01:59.0730 35.1450 50.1120 33.8160
14 Car model 19 01:58.4430 34.9920 49.7790 33.6720
15 Car model 19 01:58.1580 34.9800 49.6410 33.5370
16 Car model 19 01:59.1240 35.1120 50.1030 33.9090
17 Car model 19 - - - -
18 Car model 19 - - - -
19 Car model 19 01:59.2020 35.4030 50.1840 33.6150
20 Car model 19 - - - -
21 Car model 19 - - - -
22 Car model 19 01:58.5720 35.1570 49.7280 33.6870
23 Car model 19 01:58.1820 34.9020 49.6830 33.5970
24 Car model 19 01:58.4250 35.0310 49.7880 33.6060
25 Car model 19 01:58.1310 35.0880 49.5600 33.4830
26 Car model 19 - - - -
27 Car model 19 01:58.1670 35.0970 49.5900 33.4800
28 Car model 19 - - - -
29 Car model 19 01:58.4250 34.9770 49.6650 33.7830
30 Car model 19 01:58.2810 34.8240 49.9560 33.5010
31 Car model 19 - - - -
32 Car model 19 01:58.1400 34.9020 49.7640 33.4740
33 Car model 19 01:58.0170 35.0400 49.5690 33.4080
34 Car model 19 - - - -
35 Car model 19 01:59.1900 34.8870 50.5080 33.7950
36 Car model 19 - - - -
37 Car model 19 01:59.3700 35.1660 50.5110 33.6930
38 Car model 19 - - - -
39 Car model 19 01:59.6670 35.1540 50.8260 33.6870
Average   01:58.6492 35.0641 49.9200 33.6651
Best possible   01:57.7920 34.8240 49.5600 33.4080
jucie zanine
1 Car model 22 - - - -
2 Car model 22 02:05.6340 37.7670 52.5930 35.2740
3 Car model 22 - - - -
4 Car model 22 - - - -
5 Car model 22 02:01.9530 36.4290 51.3960 34.1280
6 Car model 22 - - - -
7 Car model 22 - - - -
8 Car model 22 02:01.3170 36.0000 51.5040 33.8130
9 Car model 22 - - - -
10 Car model 22 02:03.3210 35.9850 52.3320 35.0040
11 Car model 22 - - - -
12 Car model 22 - - - -
13 Car model 22 - - - -
14 Car model 22 - - - -
15 Car model 22 02:01.5990 35.6490 52.0560 33.8940
16 Car model 22 - - - -
17 Car model 22 02:00.0030 35.5560 50.5800 33.8670
18 Car model 22 - - - -
19 Car model 22 - - - -
20 Car model 22 02:00.0510 35.5920 50.9970 33.4620
21 Car model 22 - - - -
22 Car model 22 01:59.5710 35.4030 50.6580 33.5100
23 Car model 22 - - - -
24 Car model 22 - - - -
25 Car model 22 02:00.5910 35.3520 51.0240 34.2150
26 Car model 22 - - - -
27 Car model 22 01:59.7540 35.5560 50.4720 33.7260
28 Car model 22 - - - -
29 Car model 22 - - - -
30 Car model 22 - - - -
31 Car model 22 - - - -
32 Car model 22 02:04.5480 36.4590 53.2410 34.8480
33 Car model 22 - - - -
34 Car model 22 - - - -
35 Car model 22 - - - -
36 Car model 22 01:59.9760 35.3370 50.9010 33.7380
37 Car model 22 01:59.8680 35.1630 51.0600 33.6450
38 Car model 22 - - - -
39 Car model 22 - - - -
40 Car model 22 - - - -
41 Car model 22 - - - -
42 Car model 22 - - - -
43 Car model 22 01:59.3430 35.3880 50.4690 33.4860
44 Car model 22 - - - -
45 Car model 22 - - - -
46 Car model 22 01:59.3880 35.1720 50.7300 33.4860
47 Car model 22 01:58.5330 34.8960 49.9890 33.6480
48 Car model 22 - - - -
49 Car model 22 - - - -
50 Car model 22 - - - -
51 Car model 22 - - - -
52 Car model 22 - - - -
53 Car model 22 - - - -
54 Car model 22 02:00.3330 35.4930 50.8650 33.9750
55 Car model 22 - - - -
56 Car model 22 - - - -
Average   02:00.9285 35.7175 51.2275 33.9835
Best possible   01:58.3470 34.8960 49.9890 33.4620
Michel Gico
1 Car model 1 - - - -
2 Car model 1 02:01.8570 36.1440 51.3090 34.4040
3 Car model 1 02:01.4880 35.7540 51.5310 34.2030
4 Car model 1 - - - -
5 Car model 1 - - - -
6 Car model 1 - - - -
7 Car model 1 - - - -
8 Car model 1 02:01.0020 35.6880 51.0210 34.2930
9 Car model 1 - - - -
10 Car model 1 01:59.8560 35.1810 50.8410 33.8340
11 Car model 1 - - - -
12 Car model 1 02:00.0840 35.1450 51.0450 33.8940
13 Car model 1 01:59.8860 35.5050 50.5590 33.8220
14 Car model 1 02:00.0270 35.2290 50.7300 34.0680
15 Car model 1 - - - -
16 Car model 1 - - - -
17 Car model 1 01:59.5860 35.0790 50.6070 33.9000
18 Car model 1 - - - -
19 Car model 1 - - - -
20 Car model 1 01:59.9340 35.2260 50.9130 33.7950
21 Car model 1 02:00.3330 35.3370 51.1470 33.8490
22 Car model 1 - - - -
23 Car model 1 - - - -
24 Car model 1 - - - -
25 Car model 1 - - - -
26 Car model 1 - - - -
27 Car model 1 - - - -
28 Car model 1 02:01.1220 36.6090 50.5650 33.9480
29 Car model 1 01:59.4780 35.2980 50.4150 33.7650
30 Car model 1 - - - -
31 Car model 1 - - - -
32 Car model 1 01:59.2980 34.9050 50.6220 33.7710
33 Car model 1 - - - -
34 Car model 1 - - - -
35 Car model 1 - - - -
36 Car model 1 01:58.9980 35.0640 50.3160 33.6180
37 Car model 1 - - - -
38 Car model 1 - - - -
39 Car model 1 01:58.7160 34.8600 50.2290 33.6270
Average   02:00.1110 35.4016 50.7900 33.9194
Best possible   01:58.7070 34.8600 50.2290 33.6180
Tiago Costa
1 Car model 2 - - - -
2 Car model 2 - - - -
3 Car model 2 - - - -
4 Car model 2 02:00.0780 35.4960 50.6040 33.9780
5 Car model 2 01:59.6820 35.2830 50.4570 33.9420
6 Car model 2 01:59.7780 35.2590 50.3310 34.1880
7 Car model 2 - - - -
8 Car model 2 01:59.4030 35.2920 50.3340 33.7770
9 Car model 2 - - - -
10 Car model 2 - - - -
11 Car model 2 01:59.7270 35.3070 50.4240 33.9960
12 Car model 2 - - - -
13 Car model 2 - - - -
14 Car model 2 01:58.9140 35.2050 49.9860 33.7230
15 Car model 2 - - - -
16 Car model 2 - - - -
17 Car model 2 02:02.6100 35.9760 51.9060 34.7280
18 Car model 2 - - - -
19 Car model 2 01:59.2380 35.3340 49.9440 33.9600
20 Car model 2 - - - -
21 Car model 2 - - - -
22 Car model 2 02:00.1320 35.5590 50.3490 34.2240
23 Car model 2 02:11.6130 46.1010 51.3210 34.1910
24 Car model 2 - - - -
25 Car model 2 - - - -
26 Car model 2 02:00.5400 35.5080 50.9370 34.0950
27 Car model 2 - - - -
28 Car model 2 01:59.5500 35.3670 50.1990 33.9840
29 Car model 2 - - - -
30 Car model 2 - - - -
31 Car model 2 - - - -
32 Car model 2 - - - -
33 Car model 2 02:00.6720 35.4540 51.1590 34.0590
34 Car model 2 - - - -
35 Car model 2 - - - -
36 Car model 2 - - - -
37 Car model 2 - - - -
Average   02:00.9182 36.2416 50.6116 34.0650
Best possible   01:58.8720 35.2050 49.9440 33.7230
Marcelo Machado
1 Car model 22 - - - -
2 Car model 22 01:59.0070 35.0040 50.4090 33.5940
3 Car model 22 - - - -
4 Car model 22 - - - -
5 Car model 22 - - - -
6 Car model 22 - - - -
7 Car model 22 - - - -
8 Car model 22 - - - -
9 Car model 22 - - - -
10 Car model 22 - - - -
11 Car model 22 - - - -
12 Car model 22 01:59.8440 35.5080 50.5140 33.8220
13 Car model 22 01:59.1660 34.8660 50.3400 33.9600
14 Car model 22 - - - -
15 Car model 22 - - - -
16 Car model 22 - - - -
17 Car model 22 - - - -
18 Car model 22 02:00.3060 35.3940 50.9310 33.9810
19 Car model 22 02:00.2370 35.2350 50.9460 34.0560
20 Car model 22 - - - -
21 Car model 22 - - - -
22 Car model 22 - - - -
23 Car model 22 - - - -
24 Car model 22 02:00.0000 35.1690 50.4510 34.3800
25 Car model 22 - - - -
26 Car model 22 02:10.1580 43.7670 52.2540 34.1370
27 Car model 22 02:00.8400 35.4180 51.2580 34.1640
28 Car model 22 02:01.9980 35.4720 52.2300 34.2960
29 Car model 22 - - - -
30 Car model 22 - - - -
31 Car model 22 - - - -
32 Car model 22 02:00.0000 35.1840 50.6130 34.2030
33 Car model 22 - - - -
34 Car model 22 - - - -
35 Car model 22 01:59.9220 35.5470 50.4900 33.8850
36 Car model 22 - - - -
37 Car model 22 - - - -
38 Car model 22 - - - -
39 Car model 22 - - - -
Average   02:01.0435 36.0513 50.9487 34.0435
Best possible   01:58.8000 34.8660 50.3400 33.5940
Lucas Matheus
1 Car model 23 - - - -
2 Car model 23 02:01.0050 36.0360 50.9970 33.9720
3 Car model 23 - - - -
4 Car model 23 02:00.3600 35.4960 50.8290 34.0350
5 Car model 23 - - - -
6 Car model 23 - - - -
7 Car model 23 - - - -
8 Car model 23 01:59.7030 35.4570 50.4450 33.8010
9 Car model 23 01:59.7540 35.3940 50.6430 33.7170
10 Car model 23 - - - -
11 Car model 23 - - - -
12 Car model 23 - - - -
13 Car model 23 - - - -
14 Car model 23 01:59.0700 35.2440 50.2920 33.5340
15 Car model 23 - - - -
16 Car model 23 - - - -
17 Car model 23 01:59.8140 35.4240 50.3550 34.0350
18 Car model 23 - - - -
19 Car model 23 - - - -
20 Car model 23 01:59.3940 35.6730 50.2260 33.4950
21 Car model 23 01:59.2710 35.3670 50.3280 33.5760
22 Car model 23 - - - -
23 Car model 23 - - - -
24 Car model 23 01:59.2080 35.6100 50.0010 33.5970
25 Car model 23 01:59.0550 35.3520 50.1000 33.6030
Average   01:59.6634 35.5053 50.4216 33.7365
Best possible   01:58.7400 35.2440 50.0010 33.4950
Paulo Preto
1 Car model 1 - - - -
2 Car model 1 - - - -
3 Car model 1 02:02.1690 36.3480 51.8520 33.9690
4 Car model 1 - - - -
5 Car model 1 02:00.4770 35.5230 51.2250 33.7290
6 Car model 1 02:00.5640 35.4930 51.1380 33.9330
7 Car model 1 - - - -
8 Car model 1 02:00.4440 35.4720 51.0750 33.8970
9 Car model 1 02:00.5520 35.4480 51.0780 34.0260
10 Car model 1 02:00.3810 35.4180 51.0420 33.9210
11 Car model 1 - - - -
12 Car model 1 - - - -
13 Car model 1 02:00.2700 35.3820 50.8710 34.0170
14 Car model 1 01:59.5470 35.2050 50.5020 33.8400
15 Car model 1 - - - -
16 Car model 1 - - - -
17 Car model 1 - - - -
18 Car model 1 - - - -
19 Car model 1 - - - -
20 Car model 1 - - - -
21 Car model 1 - - - -
22 Car model 1 - - - -
23 Car model 1 - - - -
24 Car model 1 - - - -
25 Car model 1 - - - -
Average   02:00.5505 35.5361 51.0979 33.9165
Best possible   01:59.4360 35.2050 50.5020 33.7290
Tony Gleibson
1 Car model 8 - - - -
2 Car model 8 02:02.1420 35.9100 51.6900 34.5420
3 Car model 8 02:00.8730 35.5590 51.0060 34.3080
4 Car model 8 - - - -
5 Car model 8 02:03.8340 36.6240 52.5420 34.6680
6 Car model 8 - - - -
7 Car model 8 02:00.7980 35.6460 51.2370 33.9150
8 Car model 8 - - - -
9 Car model 8 02:00.8490 35.7000 51.0000 34.1490
10 Car model 8 - - - -
11 Car model 8 - - - -
12 Car model 8 01:59.8920 35.4750 50.4840 33.9330
Average   02:01.3980 35.8190 51.3265 34.2525
Best possible   01:59.8740 35.4750 50.4840 33.9150
Luis Carlos D Matias
1 Car model 16 - - - -
2 Car model 16 02:01.4880 36.4470 50.9100 34.1310
3 Car model 16 - - - -
4 Car model 16 02:03.7080 35.9340 52.1190 35.6550
5 Car model 16 02:00.3540 35.5080 50.7240 34.1220
6 Car model 16 02:01.4640 35.7390 50.7300 34.9950
7 Car model 16 - - - -
8 Car model 16 - - - -
9 Car model 16 - - - -
10 Car model 16 02:01.4250 35.5800 51.1290 34.7160
11 Car model 16 - - - -
12 Car model 16 02:00.1170 35.6190 50.3850 34.1130
13 Car model 16 - - - -
14 Car model 16 - - - -
15 Car model 16 - - - -
16 Car model 16 02:03.8280 35.6160 51.8820 36.3300
17 Car model 16 - - - -
18 Car model 16 - - - -
Average   02:01.7692 35.7776 51.1256 34.8660
Best possible   02:00.0060 35.5080 50.3850 34.1130
Gilberto Rincha
1 Car model 12 - - - -
2 Car model 12 - - - -
3 Car model 12 04:04.7550 159.3870 50.8770 34.4910
4 Car model 12 - - - -
5 Car model 12 02:00.8250 35.7180 51.2700 33.8370
6 Car model 12 02:01.0860 35.5890 51.3930 34.1040
7 Car model 12 02:00.8640 35.7450 51.1530 33.9660
8 Car model 12 - - - -
9 Car model 12 02:00.4860 35.5200 51.0780 33.8880
Average   02:25.6032 60.3918 51.1542 34.0572
Best possible   02:00.2340 35.5200 50.8770 33.8370
Walter Rubens
1 Car model 20 - - - -
2 Car model 20 02:03.3150 36.7260 52.0140 34.5750
3 Car model 20 02:02.4900 36.2040 51.8940 34.3920
4 Car model 20 02:02.7990 36.3390 51.7740 34.6860
5 Car model 20 - - - -
6 Car model 20 - - - -
7 Car model 20 - - - -
8 Car model 20 - - - -
9 Car model 20 - - - -
10 Car model 20 - - - -
11 Car model 20 02:03.7560 36.7080 52.3380 34.7100
12 Car model 20 02:03.0750 36.4020 52.0080 34.6650
13 Car model 20 - - - -
14 Car model 20 02:02.3100 36.1290 51.6750 34.5060
15 Car model 20 02:01.3740 35.9550 51.3330 34.0860
16 Car model 20 - - - -
17 Car model 20 02:02.6700 36.0570 52.0650 34.5480
18 Car model 20 02:01.4220 35.8590 51.2490 34.3140
19 Car model 20 02:01.5720 35.9430 51.1020 34.5270
20 Car model 20 - - - -
21 Car model 20 02:00.8670 35.4690 51.1080 34.2900
22 Car model 20 02:03.6690 35.9640 51.8490 35.8560
23 Car model 20 - - - -
24 Car model 20 02:04.7280 35.9340 54.0270 34.7670
25 Car model 20 02:01.7700 36.2280 51.4440 34.0980
26 Car model 20 - - - -
27 Car model 20 - - - -
28 Car model 20 02:02.7330 36.2550 52.0200 34.4580
29 Car model 20 - - - -
Average   02:02.5700 36.1448 51.8600 34.5652
Best possible   02:00.6570 35.4690 51.1020 34.0860
Beto Dalla Stella
1 Car model 16 - - - -
2 Car model 16 02:01.9350 36.5760 51.3390 34.0200
3 Car model 16 - - - -
4 Car model 16 02:01.4250 35.9130 51.7170 33.7950
5 Car model 16 - - - -
6 Car model 16 02:02.1120 36.1680 51.7320 34.2120
Average   02:01.8240 36.2190 51.5960 34.0090
Best possible   02:01.0470 35.9130 51.3390 33.7950
IRINEU DEGASPERI
1 Car model 7 - - - -
2 Car model 7 02:03.8580 36.4140 52.5960 34.8480
3 Car model 7 02:03.2010 36.3480 52.0020 34.8510
4 Car model 7 - - - -
5 Car model 7 - - - -
6 Car model 7 - - - -
7 Car model 7 - - - -
8 Car model 7 - - - -
9 Car model 7 02:04.1130 36.4320 52.5480 35.1330
10 Car model 7 - - - -
11 Car model 7 - - - -
12 Car model 7 - - - -
13 Car model 7 - - - -
14 Car model 7 02:03.4770 36.1500 51.9990 35.3280
15 Car model 7 02:02.6400 36.1440 51.8550 34.6410
16 Car model 7 02:04.2600 36.1770 52.8120 35.2710
17 Car model 7 - - - -
18 Car model 7 02:03.7620 35.9940 52.8840 34.8840
19 Car model 7 02:03.5190 36.0780 53.0430 34.3980
20 Car model 7 02:03.4590 35.7420 53.0580 34.6590
21 Car model 7 - - - -
22 Car model 7 02:01.5900 35.5950 51.6360 34.3590
Average   02:03.3879 36.1074 52.4433 34.8372
Best possible   02:01.5900 35.5950 51.6360 34.3590
Edilson Medeiros
1 Car model 21 - - - -
2 Car model 21 - - - -
3 Car model 21 02:06.6270 36.7800 55.0680 34.7790
4 Car model 21 02:04.9830 37.0560 52.9680 34.9590
5 Car model 21 - - - -
6 Car model 21 - - - -
7 Car model 21 02:06.0810 37.1130 54.0570 34.9110
8 Car model 21 02:02.7180 36.6270 51.9420 34.1490
9 Car model 21 - - - -
10 Car model 21 - - - -
11 Car model 21 02:04.1430 36.5010 52.7820 34.8600
12 Car model 21 - - - -
13 Car model 21 02:07.4010 37.7580 54.1320 35.5110
14 Car model 21 - - - -
15 Car model 21 02:06.4020 37.7820 53.5230 35.0970
16 Car model 21 02:05.9460 36.7350 53.8350 35.3760
17 Car model 21 - - - -
18 Car model 21 - - - -
19 Car model 21 02:03.2760 36.7230 52.3230 34.2300
20 Car model 21 - - - -
21 Car model 21 02:05.0280 37.2390 53.1750 34.6140
22 Car model 21 02:04.4370 36.9060 52.6830 34.8480
23 Car model 21 - - - -
24 Car model 21 - - - -
25 Car model 21 - - - -
26 Car model 21 - - - -
27 Car model 21 02:05.1510 36.6450 53.7330 34.7730
28 Car model 21 02:03.3990 36.6030 52.2090 34.5870
29 Car model 21 - - - -
30 Car model 21 02:04.1970 36.5640 53.0670 34.5660
31 Car model 21 02:03.1950 36.2730 52.3560 34.5660
32 Car model 21 - - - -
33 Car model 21 02:03.1860 36.3390 52.1610 34.6860
34 Car model 21 02:02.9970 36.4590 52.0170 34.5210
35 Car model 21 02:01.9710 36.3690 51.4440 34.1580
36 Car model 21 02:02.1240 35.9280 52.0740 34.1220
37 Car model 21 02:02.6250 36.0120 51.5610 35.0520
38 Car model 21 - - - -
39 Car model 21 02:04.2300 36.4590 53.2560 34.5150
40 Car model 21 - - - -
41 Car model 21 02:02.1600 35.9550 52.0230 34.1820
42 Car model 21 - - - -
Average   02:04.1944 36.6739 52.8359 34.6846
Best possible   02:01.4940 35.9280 51.4440 34.1220
Tony Gleibson
1 Car model 21 - - - -
2 Car model 21 - - - -
3 Car model 21 02:03.4710 36.1080 52.5180 34.8450
Average   02:03.4710 36.1080 52.5180 34.8450
Best possible   02:03.4710 36.1080 52.5180 34.8450
Paulo Wesley
1 Car model 17 - - - -
2 Car model 17 - - - -
3 Car model 17 - - - -
4 Car model 17 - - - -
5 Car model 17 - - - -
6 Car model 17 02:04.2810 36.4890 52.3830 35.4090
7 Car model 17 02:06.3780 36.5490 54.6900 35.1390
8 Car model 17 02:05.5230 37.4520 52.9650 35.1060
9 Car model 17 - - - -
10 Car model 17 - - - -
Average   02:05.3940 36.8300 53.3460 35.2180
Best possible   02:03.9780 36.4890 52.3830 35.1060
Sergio Caramalaki
1 Car model 8 - - - -
2 Car model 8 02:06.2940 37.1730 53.9640 35.1570
3 Car model 8 - - - -
4 Car model 8 - - - -
5 Car model 8 02:05.9670 36.6420 53.5020 35.8230
6 Car model 8 02:05.4390 36.7260 53.6220 35.0910
7 Car model 8 02:08.3550 39.1410 53.9610 35.2530
8 Car model 8 02:06.5370 37.0620 53.6610 35.8140
9 Car model 8 02:06.9120 37.0080 54.7410 35.1630
10 Car model 8 - - - -
11 Car model 8 - - - -
12 Car model 8 02:06.0240 37.4070 53.7450 34.8720
13 Car model 8 02:06.4650 36.8460 53.8710 35.7480
14 Car model 8 02:06.2400 37.2210 53.6880 35.3310
15 Car model 8 - - - -
16 Car model 8 - - - -
17 Car model 8 02:05.8470 37.3140 53.8620 34.6710
18 Car model 8 - - - -
19 Car model 8 - - - -
20 Car model 8 - - - -
21 Car model 8 02:04.6800 36.5910 53.2110 34.8780
22 Car model 8 02:04.8120 37.0380 52.6560 35.1180
23 Car model 8 02:06.8640 37.2570 54.7590 34.8480
24 Car model 8 02:06.2010 37.5750 53.1570 35.4690
25 Car model 8 - - - -
26 Car model 8 - - - -
27 Car model 8 02:05.2230 37.0230 52.8120 35.3880
28 Car model 8 02:04.8720 36.5610 53.1840 35.1270
29 Car model 8 - - - -
30 Car model 8 02:04.3920 36.4980 53.1210 34.7730
31 Car model 8 - - - -
32 Car model 8 02:06.0720 37.3050 53.6940 35.0730
33 Car model 8 - - - -
34 Car model 8 02:05.5650 36.8310 53.5590 35.1750
Average   02:05.9348 37.1168 53.6195 35.1985
Best possible   02:03.8250 36.4980 52.6560 34.6710
Renan Carlos
1 Car model 8 - - - -
2 Car model 8 - - - -
3 Car model 8 02:05.6550 37.1760 53.7390 34.7400
4 Car model 8 02:04.4250 36.6510 52.8840 34.8900
Average   02:05.0400 36.9135 53.3115 34.8150
Best possible   02:04.2750 36.6510 52.8840 34.7400
Murilo Assenato
1 Car model 22 - - - -
2 Car model 22 - - - -
3 Car model 22 02:04.4670 36.8850 53.0370 34.5450
4 Car model 22 - - - -
Average   02:04.4670 36.8850 53.0370 34.5450
Best possible   02:04.4670 36.8850 53.0370 34.5450
Francis Hartstein
1 Car model 2 - - - -
2 Car model 2 - - - -
3 Car model 2 - - - -
4 Car model 2 - - - -
5 Car model 2 02:06.7980 37.7040 53.7240 35.3700
6 Car model 2 - - - -
7 Car model 2 - - - -
8 Car model 2 - - - -
Average   02:06.7980 37.7040 53.7240 35.3700
Best possible   02:06.7980 37.7040 53.7240 35.3700
Edilson Medeiros
No laps for this driver
Edilson Medeiros
No laps for this driver
Toninho Motta
No laps for this driver

Practice 6 best laps

Overall top (20)
Driver Vehicle Time Gap
Nilson Porto BR Car model 19 01:58.0170
Nilson Porto BR Car model 19 01:58.1310 0.114
Nilson Porto BR Car model 19 01:58.1400 0.123
Nilson Porto BR Car model 19 01:58.1580 0.141
Nilson Porto BR Car model 19 01:58.1670 0.15
Nilson Porto BR Car model 19 01:58.1820 0.165
Nilson Porto BR Car model 19 01:58.2810 0.264
Nilson Porto BR Car model 19 01:58.4250 0.408
Nilson Porto BR Car model 19 01:58.4250 0.408
Nilson Porto BR Car model 19 01:58.4430 0.426
jucie zanine Car model 22 01:58.5330 0.516
Nilson Porto BR Car model 19 01:58.5720 0.555
Nilson Porto BR Car model 19 01:58.5780 0.561
Nilson Porto BR Car model 19 01:58.5990 0.582
Michel Gico Car model 1 01:58.7160 0.699
Nilson Porto BR Car model 19 01:58.8120 0.795
Tiago Costa Car model 2 01:58.9140 0.897
Michel Gico Car model 1 01:58.9980 0.981
Marcelo Machado Car model 22 01:59.0070 0.99
Lucas Matheus Car model 23 01:59.0550 1.038
Per driver
Driver Vehicle Time Gap
Nilson Porto BR Car model 19 01:58.0170
jucie zanine Car model 22 01:58.5330 0.516
Michel Gico Car model 1 01:58.7160 0.699
Tiago Costa Car model 2 01:58.9140 0.897
Marcelo Machado Car model 22 01:59.0070 0.99
Lucas Matheus Car model 23 01:59.0550 1.038
Paulo Preto Car model 1 01:59.5470 1.53
Tony Gleibson Car model 8 01:59.8920 1.875
Luis Carlos D Matias Car model 16 02:00.1170 2.1
Gilberto Rincha Car model 12 02:00.4860 2.469
Walter Rubens Car model 20 02:00.8670 2.85
Beto Dalla Stella Car model 16 02:01.4250 3.408
IRINEU DEGASPERI Car model 7 02:01.5900 3.573
Edilson Medeiros Car model 21 02:01.9710 3.954
Tony Gleibson Car model 21 02:03.4710 5.454
Paulo Wesley Car model 17 02:04.2810 6.264
Sergio Caramalaki Car model 8 02:04.3920 6.375
Renan Carlos Car model 8 02:04.4250 6.408
Murilo Assenato Car model 22 02:04.4670 6.45
Francis Hartstein Car model 2 02:06.7980 8.781

Practice 6 consistency

Driver Vehicle Consistency
Gilberto Rincha Car model 12 99.64% <> 0.439
Beto Dalla Stella Car model 16 99.51% <> 0.5985
Nilson Porto BR Car model 19 99.44% <> 0.6639
Lucas Matheus Car model 23 99.43% <> 0.676
Paulo Preto Car model 1 99.04% <> 1.1469
Renan Carlos Car model 8 99.01% <> 1.23
Michel Gico Car model 1 98.74% <> 1.4946
Sergio Caramalaki Car model 8 98.69% <> 1.6285
Paulo Wesley Car model 17 98.66% <> 1.6695
Tony Gleibson Car model 8 98.49% <> 1.8072
Walter Rubens Car model 20 98.49% <> 1.8246
Luis Carlos D Matias Car model 16 98.40% <> 1.9275
IRINEU DEGASPERI Car model 7 98.36% <> 1.9977
Tiago Costa Car model 2 98.17% <> 2.1713
Marcelo Machado Car model 22 98.12% <> 2.2401
Edilson Medeiros Car model 21 98.09% <> 2.3293
jucie zanine Car model 22 97.85% <> 2.5451
Tony Gleibson Car model 21 -
Murilo Assenato Car model 22 -
Francis Hartstein Car model 2 -
Edilson Medeiros Car model 22 -
Edilson Medeiros Car model 20 -
Toninho Motta Car model 6 -

Practice 6 sectors

Sector 1
Driver Time Gap
Nilson Porto BR 34.8240 -
Michel Gico 34.8600 0.0360
Marcelo Machado 34.8660 0.0420
jucie zanine 34.8960 0.0720
Tiago Costa 35.2050 0.3810
Paulo Preto 35.2050 0.3810
Lucas Matheus 35.2440 0.4200
Walter Rubens 35.4690 0.6450
Tony Gleibson 35.4750 0.6510
Luis Carlos D Matias 35.5080 0.6840
Gilberto Rincha 35.5200 0.6960
IRINEU DEGASPERI 35.5950 0.7710
Beto Dalla Stella 35.9130 1.0890
Edilson Medeiros 35.9280 1.1040
Tony Gleibson 36.1080 1.2840
Paulo Wesley 36.4890 1.6650
Sergio Caramalaki 36.4980 1.6740
Renan Carlos 36.6510 1.8270
Murilo Assenato 36.8850 2.0610
Francis Hartstein 37.7040 2.8800
Sector 2
Driver Time Gap
Nilson Porto BR 49.5600 -
Tiago Costa 49.9440 0.3840
jucie zanine 49.9890 0.4290
Lucas Matheus 50.0010 0.4410
Michel Gico 50.2290 0.6690
Marcelo Machado 50.3400 0.7800
Luis Carlos D Matias 50.3850 0.8250
Tony Gleibson 50.4840 0.9240
Paulo Preto 50.5020 0.9420
Gilberto Rincha 50.8770 1.3170
Walter Rubens 51.1020 1.5420
Beto Dalla Stella 51.3390 1.7790
Edilson Medeiros 51.4440 1.8840
IRINEU DEGASPERI 51.6360 2.0760
Paulo Wesley 52.3830 2.8230
Tony Gleibson 52.5180 2.9580
Sergio Caramalaki 52.6560 3.0960
Renan Carlos 52.8840 3.3240
Murilo Assenato 53.0370 3.4770
Francis Hartstein 53.7240 4.1640
Sector 3
Driver Time Gap
Nilson Porto BR 33.4080 -
jucie zanine 33.4620 0.0540
Lucas Matheus 33.4950 0.0870
Marcelo Machado 33.5940 0.1860
Michel Gico 33.6180 0.2100
Tiago Costa 33.7230 0.3150
Paulo Preto 33.7290 0.3210
Beto Dalla Stella 33.7950 0.3870
Gilberto Rincha 33.8370 0.4290
Tony Gleibson 33.9150 0.5070
Walter Rubens 34.0860 0.6780
Luis Carlos D Matias 34.1130 0.7050
Edilson Medeiros 34.1220 0.7140
IRINEU DEGASPERI 34.3590 0.9510
Murilo Assenato 34.5450 1.1370
Sergio Caramalaki 34.6710 1.2630
Renan Carlos 34.7400 1.3320
Tony Gleibson 34.8450 1.4370
Paulo Wesley 35.1060 1.6980
Francis Hartstein 35.3700 1.9620

Practice 6 penalties

Date Penalty
Tony Gleibson - Trolling - StopAndGo_30 - violation in lap 11 - cleared in lap 11

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