Statistics: 18.02.2023 19:45:37 - Attan Noviello Masters 2023 - Actual/Potential / Overall best - ESG12 - 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
Horky Vladimir
002
4.199 ( 4.211)
96.4%
94.3%
97.9%
96.1%
97.8%
95.5%
94.9%
97.2%
96.3%
523.10
4
Cihlar Jiri
024
4.374 ( 4.382)
96.3%
95.1%
96.1%
97.7%
95.9%
93.0%
96.0%
96.7%
95.9%
509.56
3
Poledna Frantisek
027
4.269 ( 4.283)
96.5%
97.1%
95.9%
96.3%
97.5%
95.9%
93.8%
94.5%
95.9%
512.25
2
Recek Jaroslav
004
4.234 ( 4.263)
95.8%
96.9%
97.4%
94.4%
93.9%
95.4%
97.1%
95.5%
95.8%
521.71
9
Blomqvist Daniel
040
4.390 ( 4.432)
93.8%
95.9%
95.7%
95.9%
97.3%
94.1%
96.1%
95.7%
95.6%
496.02
6
Karlik Jiri
023
4.434 ( 4.471)
96.3%
95.8%
94.9%
93.5%
95.6%
95.0%
95.7%
95.8%
95.3%
498.80
11
Flaisig Pavel
017
4.507 ( 4.546)
95.2%
96.3%
93.5%
94.1%
96.4%
94.8%
93.9%
94.9%
94.9%
494.71
17
Spudil Michal
073
4.617 ( 4.649)
94.4%
92.6%
94.6%
93.6%
97.3%
96.8%
97.2%
92.2%
94.8%
485.02
12
Thomas Chris
033
4.444 ( 4.469)
96.4%
95.6%
95.1%
91.3%
95.3%
96.9%
95.7%
92.4%
94.8%
493.60
18
Paces Ota sen
071
4.659 ( 4.689)
97.0%
96.7%
91.8%
91.7%
93.6%
96.3%
95.8%
94.8%
94.7%
482.66
10
Nabokins Janis
009
4.508 ( 4.714)
95.5%
93.8%
97.5%
94.4%
91.4%
93.2%
94.4%
96.4%
94.6%
494.75
7
Paces Ota jun
056
4.488 ( 4.541)
95.1%
95.7%
96.3%
93.9%
92.3%
96.1%
94.1%
92.5%
94.5%
497.77
13
Hojer Martin
039
4.425 ( 4.489)
97.3%
93.6%
95.0%
96.3%
93.4%
95.1%
88.5%
95.4%
94.4%
491.34
15
Triska Lukas
045
4.592 ( 4.640)
95.1%
96.6%
95.0%
93.1%
95.6%
94.3%
86.1%
97.2%
94.1%
488.21
8
Rath Luca
239
4.527 ( 4.532)
93.4%
94.0%
93.6%
97.0%
94.4%
92.3%
91.9%
93.9%
93.8%
496.13
21
Hojer Milos
057
4.719 ( 4.726)
93.4%
93.3%
93.2%
94.3%
92.2%
94.5%
93.2%
92.2%
93.3%
472.69
19
Niccolai Paolo
076
4.675 ( 4.702)
94.4%
93.6%
93.3%
83.0%
96.0%
95.6%
95.0%
95.2%
93.3%
476.63
16
Sedlarik Rostislav
504
4.690 ( 4.750)
92.5%
89.5%
92.9%
95.8%
94.6%
93.7%
92.3%
93.8%
93.2%
488.14
14
Herman Pavel
434
4.471 ( 4.517)
90.2%
91.5%
93.8%
95.0%
91.7%
94.6%
93.7%
93.7%
93.0%
488.51
27
Holy Frantisek jun
432
4.645 ( 4.709)
92.2%
94.3%
90.7%
94.4%
89.4%
93.1%
92.1%
94.1%
92.5%
453.62
28
Vosicka Miroslav
422
4.742 ( 4.801)
92.4%
91.0%
95.6%
92.5%
92.7%
90.5%
93.2%
90.4%
92.3%
452.45
36
Cruz Jorge
175
5.174 ( 5.183)
92.1%
93.9%
92.8%
89.0%
93.1%
92.1%
91.5%
90.7%
91.9%
431.88
40
Cechura Josef
420
5.202 ( 5.215)
90.4%
95.5%
93.9%
91.6%
86.8%
91.0%
91.8%
94.2%
91.9%
402.39
5
Trigilio Paolo
063
4.786 ( 4.894)
93.6%
89.5%
90.0%
90.9%
89.5%
91.2%
93.9%
93.5%
91.5%
503.11
26
Strunc Jakub
424
4.529 ( 4.570)
90.3%
92.0%
94.1%
87.9%
92.0%
93.1%
91.7%
89.6%
91.3%
456.09
37
Paletta Alessandro
505
4.931 ( 5.022)
91.0%
91.5%
92.3%
91.2%
91.0%
91.0%
92.2%
89.7%
91.2%
431.48
23
Lapcak Jozef
100
4.459 ( 4.501)
88.2%
87.5%
92.8%
94.5%
93.8%
91.7%
90.0%
90.2%
91.1%
464.62
30
Krause Michael
438
4.728 ( 4.752)
93.6%
95.5%
85.0%
81.9%
94.4%
89.2%
93.4%
94.9%
91.0%
442.89
31
Gustavsson Simme
503
4.507 ( 4.520)
82.5%
89.8%
93.7%
95.8%
93.8%
85.0%
93.6%
93.3%
90.9%
442.14
34
Baumann Sven
437
4.796 ( 4.811)
94.3%
86.0%
92.0%
91.1%
91.8%
92.2%
88.1%
87.9%
90.5%
433.26
35
Sbrana Paolo
139
4.652 ( 4.725)
93.1%
66.7%
95.6%
92.0%
94.9%
93.9%
92.8%
93.1%
90.2%
432.11
33
Linhart Ales
082
4.593 ( 4.618)
85.1%
85.2%
90.8%
96.4%
91.0%
91.8%
90.2%
88.7%
90.0%
440.46
22
Sandberg Pontus
087
4.386 ( 4.387)
83.2%
80.9%
96.0%
97.1%
92.8%
94.4%
84.4%
89.6%
89.8%
465.12
24
Kacir Josef
055
4.540 ( 4.555)
89.9%
89.1%
94.5%
91.4%
87.9%
89.9%
90.2%
85.2%
89.8%
462.58
29
Strunc Jiri
423
4.745 ( 4.759)
86.7%
90.8%
92.4%
91.1%
84.4%
89.8%
90.4%
89.3%
89.4%
449.90
20
Gotthardt Jan
502
4.266 ( 4.283)
94.7%
92.7%
95.2%
69.6%
96.2%
90.7%
89.5%
85.8%
89.3%
474.91
32
Ugis Viksne
091
4.640 ( 4.705)
88.3%
89.2%
92.4%
93.0%
82.3%
84.1%
88.7%
93.2%
88.9%
440.53
25
Andersson Theo
077
4.453 ( 4.485)
93.4%
92.9%
83.4%
94.4%
85.0%
93.9%
90.5%
72.8%
88.4%
456.63
42
Wawrek Igor
224
5.350 ( 5.403)
88.6%
81.1%
86.3%
85.3%
89.0%
90.1%
90.5%
88.2%
87.4%
375.26
39
Boschetti Enrico
208
5.028 ( 5.095)
77.9%
84.9%
89.2%
88.5%
89.8%
89.4%
90.0%
85.1%
86.9%
418.75
38
Kacir Libor
145
4.800 ( 4.851)
87.2%
89.0%
90.6%
67.0%
87.9%
90.4%
83.7%
91.7%
86.0%
425.47
41
Attila Jarko
223
4.761 ( 4.801)
79.6%
83.6%
81.0%
83.5%
91.8%
87.4%
84.3%
70.1%
82.8%
399.98
43
Skalsky Ivan
500
5.613 ( 5.825)
81.1%
76.9%
81.9%
79.5%
77.8%
86.1%
84.5%
86.4%
81.8%
329.33
44
Sbrana Luca
010
4.438 ( 4.491)
96.0%
82.9%
77.8%
91.0%
5.1%
11.6%
61.6%
238.99
Best ->
97.3%
97.1%
97.9%
97.7%
97.8%
96.9%
97.2%
97.2%

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.