Statistics: 4/21/2016 7:49:04 PM - 2016 USRA National Championships - Actual/Potential / Overall best - USRA GT-12 Expert


Pos
Driver
Qualify result
1-Red
2-White
3-Green
4-Orange
5-Blue
6-Yellow
7-Purple
8-Black
All race
Total Laps
1
Alex Muniz
3.695 ( 3.708)
96.9%
96.0%
96.0%
95.7%
94.6%
93.6%
96.8%
93.0%
96.0%
361.20
6
Chris Everett
3.832 ( 3.859)
95.7%
95.1%
94.7%
93.1%
96.8%
95.8%
96.8%
93.6%
95.7%
345.30
2
Paul Gawronski
3.694 ( 3.715)
95.0%
95.4%
95.2%
94.3%
93.6%
95.9%
88.1%
95.7%
94.8%
358.31
3
Jim Radford
3.669 ( 3.681)
95.5%
91.7%
94.2%
97.1%
95.2%
96.2%
94.3%
87.1%
94.7%
354.33
5
Herman James
3.701 ( 3.732)
93.0%
90.7%
95.8%
88.8%
93.9%
97.4%
95.5%
93.7%
94.3%
346.34
4
Matt Bruce
3.722 ( 3.881)
86.9%
95.7%
91.1%
94.4%
96.1%
94.7%
94.0%
94.6%
94.2%
349.06
8
Aaron Roed
3.801 ( 3.815)
93.1%
89.9%
94.6%
92.5%
96.1%
93.6%
92.9%
94.6%
94.2%
342.06
9
Rick Linn
3.737 ( 3.779)
91.3%
91.7%
89.3%
92.6%
93.0%
92.9%
94.9%
96.0%
93.4%
338.37
16
Chris Wright
3.997 ( 4.019)
89.0%
96.9%
91.0%
93.4%
95.0%
93.4%
84.9%
92.0%
93.0%
318.26
7
Alex Leite
3.711 ( 3.810)
94.0%
90.4%
89.4%
91.9%
90.6%
92.0%
97.4%
93.0%
92.8%
345.12
21
Greg Norris
4.102 ( 4.109)
91.3%
89.4%
94.6%
86.3%
91.8%
92.4%
92.9%
91.3%
92.1%
301.19
14
Mike Stahl
4.283 ( 4.299)
89.9%
87.4%
89.4%
92.2%
92.1%
94.8%
90.2%
94.0%
91.9%
319.47
22
Tony Moore
4.280 ( 4.347)
92.2%
90.7%
91.1%
86.3%
89.8%
93.2%
93.4%
93.2%
91.7%
288.43
11
Janis Nabokins
3.822 ( 3.832)
85.3%
94.7%
92.2%
94.4%
94.4%
86.1%
80.9%
95.1%
91.3%
323.06
15
Jeff Sweeney
3.850 ( 4.057)
92.9%
87.7%
91.0%
88.4%
89.7%
90.7%
93.2%
89.3%
91.2%
319.18
18
Leonard Strand
3.835 ( 3.883)
89.0%
93.6%
91.8%
90.4%
87.9%
95.9%
90.8%
82.6%
91.1%
317.09
12
Doug Yarbrough
3.741 ( 3.805)
91.9%
91.5%
90.0%
89.2%
91.4%
86.2%
84.0%
95.3%
90.6%
322.20
20
Jim Alden
4.041 ( 4.044)
87.7%
92.6%
88.0%
90.6%
88.9%
91.2%
90.6%
86.6%
90.4%
304.03
10
Jon Madtes
3.958 ( 3.975)
83.9%
94.1%
91.5%
88.6%
85.1%
86.3%
91.0%
91.9%
90.0%
327.06
13
Joe Lim
3.781 ( 3.813)
89.7%
90.6%
87.4%
84.7%
91.1%
91.5%
89.0%
90.3%
89.9%
322.01
17
Rick Dodge
4.061 ( 4.111)
62.6%
90.8%
94.3%
90.1%
92.6%
92.0%
93.8%
94.2%
89.7%
317.35
19
Chris Alden
4.131 ( 4.173)
89.8%
88.1%
88.4%
86.8%
93.9%
90.0%
86.7%
85.1%
89.5%
313.08
24
Justin Colvin
3.743 ( 3.763)
89.2%
91.9%
92.3%
80.2%
54.3%
92.1%
95.4%
85.7%
277.49
26
Flavio Araujo
3.882 ( 3.909)
43.3%
91.9%
89.8%
88.5%
92.3%
85.9%
77.4%
82.2%
250.49
23
Tim Burgess
4.025 ( 4.086)
90.5%
89.6%
83.9%
79.8%
73.0%
58.3%
83.9%
80.7%
80.6%
288.35
25
Jason Hooper
3.831 ( 3.847)
64.2%
90.2%
93.4%
91.3%
76.4%
32.0%
87.7%
91.9%
79.3%
273.49
30
Mic Byrd
3.971 ( 4.066)
85.9%
81.9%
66.1%
78.9%
97.49
27
George Hopper
4.525 ( 4.583)
9.3%
14.1%
92.2%
92.4%
93.5%
90.4%
88.8%
91.2%
75.5%
226.49
28
Jonathan Forsythe
3.775 ( 3.804)
95.4%
93.9%
19.6%
94.3%
31.6%
67.9%
157.49
29
Ryan Guiher
3.857 ( 3.961)
16.6%
58.6%
88.7%
86.2%
63.8%
111.49
Best ->
96.9%
96.9%
96.0%
97.1%
96.8%
97.4%
97.4%
96.0%

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.