Age: 50
Season | Age | Series | Starts | Wins | T5 | T10 | ASP | AFP | eARP | ASP-FP | eGR-LR | PFAE | Avg. PFAE | Succ% | Laps Led | Laps Run | %LL | %LC |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2001 | 26 | ARCA | 1 | 0 | 0 | 0 | 27.00 | 38.00 | -11.00 | -0.85 | -15.49 | -15.494 | 0.0 | 0 | 0 | 0.00 | 0.00 | |
2003 | 28 | ARCA | 2 | 0 | 0 | 0 | 28.50 | 22.00 | 23.33 | 6.50 | 0.26 | 2.99 | 1.496 | 50.0 | 0 | 117 | 0.00 | 73.13 |
2004 | 29 | ARCA | 1 | 0 | 0 | 0 | 23.00 | 32.00 | 27.50 | -9.00 | -0.53 | -11.75 | -11.747 | 0.0 | 0 | 7 | 0.00 | 8.75 |
2005 | 30 | ARCA | 2 | 0 | 0 | 0 | 28.50 | 28.50 | 25.00 | 0.00 | -0.24 | -10.06 | -5.029 | 50.0 | 0 | 68 | 0.00 | 42.50 |
2006 | 31 | ARCA | 4 | 0 | 0 | 0 | 34.50 | 25.50 | 27.61 | 9.00 | 0.07 | 1.74 | 0.435 | 75.0 | 0 | 243 | 0.00 | 63.45 |
2008 | 33 | ARCA | 2 | 0 | 0 | 0 | 34.00 | 26.00 | 25.79 | 8.00 | 0.28 | 1.37 | 0.685 | 50.0 | 0 | 115 | 0.00 | 61.83 |
2009 | 34 | ARCA | 2 | 0 | 0 | 0 | 33.50 | 24.00 | 28.45 | 9.50 | 0.30 | 6.71 | 3.355 | 50.0 | 0 | 139 | 0.00 | 85.80 |
2010 | 35 | ARCA | 1 | 0 | 0 | 0 | 36.00 | 23.00 | 29.50 | 13.00 | 0.37 | 4.98 | 4.982 | 100.0 | 0 | 47 | 0.00 | 94.00 |
2011 | 36 | ARCA | 2 | 0 | 0 | 0 | 31.00 | 21.00 | 26.03 | 10.00 | 0.34 | 6.72 | 3.361 | 50.0 | 0 | 101 | 0.00 | 92.66 |
2012 | 37 | ARCA | 2 | 0 | 0 | 0 | 24.50 | 21.00 | 22.81 | 3.50 | 0.14 | 4.28 | 2.139 | 50.0 | 0 | 123 | 0.00 | 94.62 |
2013 | 38 | ARCA | 2 | 0 | 0 | 0 | 32.00 | 16.50 | 23.83 | 15.50 | 0.50 | 21.03 | 10.514 | 100.0 | 0 | 124 | 0.00 | 95.38 |
2014 | 39 | ARCA | 1 | 0 | 0 | 0 | 24.00 | 21.00 | 22.50 | 3.00 | 0.13 | 1.40 | 1.400 | 100.0 | 0 | 24 | 0.00 | 48.00 |
2015 | 40 | ARCA | 2 | 0 | 0 | 0 | 26.00 | 28.00 | 26.00 | -2.00 | -0.36 | -10.89 | -5.447 | 50.0 | 0 | 46 | 0.00 | 35.38 |
2016 | 41 | ARCA | 2 | 0 | 0 | 0 | 26.50 | 18.00 | 23.20 | 8.50 | 0.29 | 2.48 | 1.242 | 100.0 | 0 | 135 | 0.00 | 96.43 |
2017 | 42 | ARCA | 1 | 0 | 0 | 0 | 22.00 | 23.00 | 22.50 | -1.00 | -0.13 | -2.54 | -2.538 | 0.0 | 0 | 57 | 0.00 | 95.00 |
2018 | 43 | ARCA, Trucks | 3 | 0 | 0 | 0 | 24.33 | 22.67 | 25.15 | 1.67 | -0.03 | -6.15 | -2.051 | 33.3 | 0 | 156 | 0.00 | 59.32 |
2022 | 47 | ARCA, ARCA West | 4 | 0 | 0 | 0 | 36.50 | 33.25 | 31.84 | 3.25 | 0.09 | -0.67 | -0.167 | 75.0 | 0 | 89 | 0.00 | 19.52 |
Owner | Car | Season | Series | Starts | Wins | Average Start | Average Finish | Avg. PFAE |
Brian Kaltreider | 36 | 2001 | ARCA | 1 | 0 | 27.00 | 38.00 | -15.494 |
Brian Kaltreider | 36 | 2003 | ARCA | 2 | 0 | 28.50 | 22.00 | 1.496 |
Mark Gibson | 56 | 2004 | ARCA | 1 | 0 | 23.00 | 32.00 | -11.747 |
Brian Kaltreider | 36 | 2005 | ARCA | 2 | 0 | 28.50 | 28.50 | -5.029 |
Bob Aiello | 62 | 2006 | ARCA | 2 | 0 | 33.00 | 30.50 | -5.006 |
Brian Kaltreider | 39 | 2006 | ARCA | 1 | 0 | 40.00 | 21.00 | 7.729 |
Russ Roulo | 39 | 2006 | ARCA | 1 | 0 | 32.00 | 20.00 | 4.022 |
Brian Kaltreider | 94 | 2008 | ARCA | 2 | 0 | 34.00 | 26.00 | 0.685 |
Billy Gerhart | 7 | 2009 | ARCA | 1 | 0 | 32.00 | 20.00 | 6.762 |
Brian Kaltreider | 7 | 2009 | ARCA | 1 | 0 | 35.00 | 28.00 | -0.053 |
Brian Kaltreider | 7 | 2010 | ARCA | 1 | 0 | 36.00 | 23.00 | 4.982 |
Brian Kaltreider | 07 | 2011 | ARCA | 2 | 0 | 31.00 | 21.00 | 3.361 |
Brian Kaltreider | 07 | 2012 | ARCA | 2 | 0 | 24.50 | 21.00 | 2.139 |
Brian Kaltreider | 07 | 2013 | ARCA | 2 | 0 | 32.00 | 16.50 | 10.514 |
Brian Kaltreider | 07 | 2014 | ARCA | 1 | 0 | 24.00 | 21.00 | 1.400 |
Brian Kaltreider | 07 | 2015 | ARCA | 2 | 0 | 26.00 | 28.00 | -5.447 |
Brian Kaltreider | 07 | 2016 | ARCA | 2 | 0 | 26.50 | 18.00 | 1.242 |
Brian Kaltreider | 07 | 2017 | ARCA | 1 | 0 | 22.00 | 23.00 | -2.538 |
Brian Kaltreider | 07 | 2018 | ARCA | 2 | 0 | 21.50 | 21.50 | -2.587 |
Mark Beaver | 50 | 2018 | Trucks | 1 | 0 | 30.00 | 25.00 | -0.978 |
Brian Kaltreider | 07 | 2022 | ARCA | 3 | 0 | 35.67 | 32.00 | -0.222 |
Brian Kaltreider | 07 | 2022 | ARCA West | 1 | 0 | 39.00 | 37.00 | 0.000 |
If you see any numbers that are odd, they probably are, especially if it appears a series if missing a lot of laps led or a driver has the same start as they do finish (in aggregate). We have to do a bit of data cleanup to make things useful, and as a result some missing data is covered up with defaults that hopefully won't pervert the results too much.