Cale Gale

Age: 39

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Season Age Series Starts Wins ASP AFP eARP ASP-FP eGR-LR PFAE Avg. PFAE Laps Led Laps Run %LL %LC
2006 20 ARCA, Xfinity 7 1 14.00 18.43 17.57 -4.43 0.01 0.04 0.006 57 1146 4.97 98.20
2007 21 ARCA, Xfinity, Trucks 15 0 17.60 18.00 19.08 -0.40 0.06 21.28 1.419 111 2460 4.51 93.15
2008 22 Xfinity, Trucks 14 0 13.14 17.79 14.37 -4.64 -0.12 -0.34 -0.024 19 2440 0.78 89.97
2009 23 Xfinity, Pinty's 6 0 18.67 18.67 17.85 0.00 -0.24 -12.76 -2.126 0 633 0.00 63.49
2011 25 ARCA, Trucks 7 0 11.57 13.86 11.83 -2.29 -0.05 0.74 0.106 64 1011 6.33 96.75
2012 26 ARCA, Trucks 24 2 9.46 14.75 10.86 -5.29 -0.08 -46.38 -1.933 85 3353 2.54 91.66
2013 27 Trucks 3 0 11.00 9.67 10.34 1.33 0.09 12.11 4.035 0 448 0.00 100.00
2014 28 Whelen 1 0 38.00 32.00 35.00 6.00 0.16 0.00 0.000 0 95 0.00 63.33
2017 31 Trucks 1 0 14.00 18.00 16.00 -4.00 -0.22 -5.00 -5.000 0 200 0.00 100.00
Owner Car Season Series Starts Wins Average Start Average Finish Avg. PFAE
Bobby Jones 50 2006 ARCA 2 1 5.00 3.50 9.972
James Finch 09 2006 ARCA 1 0 9.00 6.00 10.778
James Finch 1 2006 Xfinity 3 0 21.33 30.33 -8.403
Kevin Harvick 33 2006 Xfinity 1 0 15.00 25.00 -5.471
Kevin Harvick 33 2007 ARCA 3 0 7.33 2.67 12.359
Kevin Harvick 33 2007 Xfinity 7 0 22.29 23.00 -0.655
Kevin Harvick 2 2007 Trucks 5 0 17.20 20.20 -2.242
Kevin Harvick 33, 77 2008 Xfinity 13 0 14.00 16.85 1.296
Kevin Harvick 2 2008 Trucks 1 0 2.00 30.00 -17.190
Kevin Harvick 33 2009 Xfinity 1 0 15.00 31.00 -11.921
Ian Farwell 13 2009 Pinty's 5 0 19.40 16.20 -0.167
Kevin Harvick 33 2011 ARCA 3 0 2.33 8.67 0.667
Kevin Harvick 2, 21, 33 2011 Trucks 4 0 18.50 17.75 -0.315
Eddie Sharp 33, 6 2012 ARCA 2 1 7.50 7.00 5.196
Eddie Sharp 33 2012 Trucks 22 1 9.64 15.45 -2.581
Steve Turner 30, 33 2013 Trucks 3 0 11.00 9.67 4.035
Bubba Gale 95 2014 Whelen 1 0 38.00 32.00 0.000
Matthew Miller 99 2017 Trucks 1 0 14.00 18.00 -5.000

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.