Statistics: 17.02.2023 19:44:39 - Attan Noviello Masters 2023 - Actual/Potential / Overall best - Production 1/24 - Heat race (300 Sec)


Pos
Driver
Comment
Qualify result
1-Red
2-White
3-Green
4-Orange
5-Blue
6-Yellow
7-Purple
8-Black
All race
Total Laps
1
Recek Jaroslav
004
4.614 ( 4.619)
97.1%
96.9%
96.8%
94.9%
95.8%
95.9%
95.9%
97.1%
96.3%
484.89
6
Blomqvist Daniel
040
4.770 ( 4.780)
96.9%
94.5%
96.7%
97.4%
92.8%
96.5%
97.3%
97.1%
96.1%
470.53
7
Hojer Milos
057
4.687 ( 4.696)
95.7%
94.7%
96.6%
97.4%
94.6%
96.8%
95.7%
95.3%
95.9%
469.34
8
Nabokins Janis
009
4.832 ( 4.868)
95.5%
98.5%
94.7%
94.6%
97.7%
94.7%
95.4%
95.1%
95.8%
465.85
3
Poledna Frantisek
027
4.692 ( 4.741)
97.4%
92.8%
96.6%
97.2%
96.3%
94.0%
94.3%
96.8%
95.7%
475.85
10
Karlik Jiri
023
4.996 ( 4.997)
96.5%
96.5%
94.5%
95.1%
95.0%
95.7%
95.5%
96.3%
95.6%
464.37
2
Horky Vladimir
002
4.649 ( 4.709)
92.9%
93.4%
96.4%
96.6%
96.6%
96.0%
96.0%
95.9%
95.5%
484.53
17
Sbrana Luca
010
4.724 ( 4.742)
96.2%
95.7%
96.9%
94.9%
96.5%
94.2%
93.1%
95.5%
95.4%
451.12
5
Cihlar Jiri
024
4.752 ( 4.863)
94.8%
94.9%
95.0%
96.6%
96.9%
94.9%
93.5%
95.1%
95.2%
470.54
13
Paces Ota sen
071
5.016 ( 5.040)
92.8%
96.6%
96.4%
96.8%
94.7%
94.6%
96.1%
92.7%
95.1%
459.90
12
Thomas Chris
033
4.884 ( 4.918)
95.2%
93.5%
95.1%
95.7%
94.6%
95.3%
94.5%
96.4%
95.0%
461.64
4
Trigilio Paolo
063
4.809 ( 4.830)
96.9%
93.6%
95.4%
94.6%
94.0%
94.0%
95.8%
95.1%
94.9%
472.83
9
Flaisig Pavel
017
4.787 ( 4.810)
96.2%
92.7%
94.0%
95.8%
92.2%
95.9%
95.7%
96.9%
94.9%
464.45
21
Sandberg Pontus
087
4.945 ( 5.012)
97.2%
91.8%
93.5%
96.3%
95.2%
93.5%
96.4%
92.3%
94.5%
439.63
23
Vosicka Miroslav
422
5.153 ( 5.203)
93.6%
92.4%
94.7%
95.5%
96.1%
93.8%
94.6%
95.3%
94.5%
429.28
14
Sedlarik Rostislav
504
5.037 ( 5.041)
94.1%
91.1%
96.4%
95.3%
94.3%
94.9%
93.7%
94.8%
94.3%
456.14
15
Paces Ota jun
056
4.794 ( 4.813)
91.0%
96.8%
93.5%
96.7%
95.7%
93.0%
93.7%
93.2%
94.2%
456.13
18
Rath Luca
239
4.902 ( 4.914)
92.8%
92.8%
95.7%
92.9%
97.1%
93.9%
94.2%
93.6%
94.1%
447.90
29
Sbrana Paolo
139
5.252 ( 5.331)
94.2%
92.9%
94.0%
94.8%
93.0%
94.3%
93.5%
91.8%
93.6%
422.27
11
Gotthardt Jan
502
4.840 ( 4.856)
91.9%
91.2%
92.8%
94.2%
91.7%
92.9%
95.0%
93.5%
92.9%
462.63
30
Baumann Sven
437
5.179 ( 5.239)
91.9%
94.2%
90.1%
95.4%
95.1%
92.9%
93.6%
88.0%
92.7%
417.59
34
Ugis Viksne
091
5.239 ( 5.286)
93.2%
90.3%
94.3%
95.6%
95.6%
92.2%
87.2%
92.1%
92.6%
404.27
22
Spudil Michal
073
4.926 ( 4.947)
95.6%
94.1%
95.9%
84.7%
91.6%
91.9%
92.0%
95.2%
92.6%
437.29
20
Niccolai Paolo
076
5.456 ( 5.505)
92.9%
93.2%
94.1%
91.2%
90.4%
93.1%
92.7%
93.7%
92.6%
442
16
Hojer Martin
039
4.811 ( 4.836)
95.0%
92.5%
90.6%
92.1%
96.7%
85.9%
94.2%
93.5%
92.5%
455.27
35
Holy Frantisek jun
432
5.573 ( 5.596)
93.7%
88.6%
93.0%
89.0%
93.4%
93.8%
90.1%
90.6%
91.5%
389.54
19
Kacir Josef
055
4.894 ( 4.940)
89.8%
93.1%
92.6%
92.8%
92.7%
92.4%
91.6%
85.9%
91.4%
442.27
28
Triska Lukas
045
4.931 ( 4.932)
92.0%
87.6%
96.9%
76.1%
95.8%
92.8%
92.7%
95.0%
91.2%
422.27
26
Lapcak Jozef
100
5.064 ( 5.110)
91.5%
91.9%
91.2%
87.7%
91.2%
91.1%
89.2%
94.0%
91.0%
424.46
33
Cruz Jorge
175
5.418 ( 5.418)
93.2%
94.3%
92.6%
86.5%
92.0%
87.2%
94.0%
88.6%
91.0%
404.79
32
Kacir Libor
145
5.268 ( 5.294)
93.5%
89.4%
92.0%
84.9%
87.5%
93.3%
90.2%
89.0%
90.0%
406.53
27
Herman Pavel
434
4.913 ( 4.926)
93.5%
84.7%
91.4%
81.9%
96.4%
84.7%
92.6%
93.6%
89.9%
423.50
24
Krause Michael
438
4.998 ( 5.033)
91.1%
93.8%
82.8%
91.8%
93.7%
97.2%
93.9%
75.9%
89.7%
427.65
42
Wawrek Igor
224
6.484 ( 6.518)
87.4%
90.0%
87.1%
90.2%
88.8%
88.9%
88.7%
84.8%
88.3%
338.17
36
Strunc Jiri
423
5.321 ( 5.348)
85.5%
89.0%
86.0%
89.2%
89.0%
90.5%
85.7%
82.1%
87.2%
389.50
25
Zemlicka Jan
018
4.867 ( 4.891)
72.0%
91.0%
93.9%
92.2%
89.6%
90.4%
74.1%
90.9%
86.9%
425.58
31
Andersson Theo
077
4.896 ( 4.953)
90.2%
86.7%
88.5%
75.1%
81.4%
94.2%
92.9%
85.7%
86.8%
407.89
38
Boschetti Enrico
208
5.946 ( 6.130)
85.1%
84.8%
85.9%
89.4%
87.1%
84.3%
88.2%
88.5%
86.7%
364.64
40
Kalhous Roman
430
5.049 ( 5.077)
31.4%
94.0%
95.2%
93.5%
87.6%
93.9%
95.0%
84.7%
346.99
39
Attila Jarko
223
5.661 ( 6.003)
86.9%
87.8%
86.0%
68.2%
85.6%
89.6%
84.3%
83.3%
84.0%
348.11
37
Gustavsson Simme
503
4.974 ( 5.080)
83.1%
85.1%
85.0%
73.4%
88.4%
81.1%
79.2%
84.4%
82.5%
377.91
43
Skalsky Ivan
500
6.301 ( 6.307)
87.4%
78.7%
76.2%
88.1%
82.8%
80.1%
83.9%
82.0%
82.3%
314.15
41
Strunc Jakub
424
5.514 ( 5.614)
90.8%
87.9%
90.0%
83.1%
87.1%
87.2%
49.9%
43.0%
77.5%
344.29
44
Paletta Alessandro
505
5.402 ( 5.467)
87.8%
5.6%
90.4%
77.5%
90.4%
40.9%
87.7%
86.8%
72.2%
305.43
Best ->
97.4%
98.5%
96.9%
97.4%
97.7%
97.2%
97.3%
97.1%

Each cell shows the Actual/Potential ratio, and indicate how stable you perform on the track.
'Actual' is the number of laps you completed during the race.
'Potential' is the number of laps you might have achieved, if you raced every lap at your fastest time on the lane.
The closer the ratio is to 100 % the closer you are to your ideal performance.