Bubba Pollard

Age: 37

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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
2005 17 ARCA 3 0 9.67 19.67 14.43 -10.00 -0.26 -7.84 -2.614 0 276 0.00 90.20
2012 24 ARCA 1 0 12.00 11.00 11.50 1.00 0.09 3.46 3.456 0 203 0.00 100.00
2015 27 ARCA, CARS Pro 4 0 12.25 13.75 7.34 -1.50 0.10 0.43 0.108 0 477 0.00 68.14
2017 29 CARS Pro 3 1 5.33 3.33 3.72 2.00 0.48 14.03 4.677 80 414 19.32 100.00
2018 30 CARS Pro 4 2 9.00 13.50 2.86 -4.50 -0.09 -9.83 -2.457 247 410 60.24 76.21
2019 31 CARS Pro 4 3 2.00 1.50 1.57 0.50 0.49 20.05 5.013 240 563 42.63 100.00
2020 32 CARS Pro, CARS 6 3 5.67 10.67 5.60 -5.00 -0.02 -18.39 -3.065 163 734 22.21 69.90
2021 33 CARS Pro, CARS 4 0 11.75 12.75 11.62 -1.00 -0.13 -0.31 -0.079 0 627 0.00 92.75
2024 36 ARCA East, Xfinity 2 0 21.00 4.50 14.96 16.50 0.68 21.83 10.914 0 399 0.00 99.75
Owner Car Season Series Starts Wins Average Start Average Finish Avg. PFAE
Bob Keselowski 29 2005 ARCA 1 0 7.00 20.00 -5.438
Bob Schacht 75 2005 ARCA 1 0 14.00 11.00 8.921
James Hylton 48 2005 ARCA 1 0 8.00 28.00 -11.326
Bubba Pollard 29 2012 ARCA 1 0 12.00 11.00 3.456
Tracy Goodson 1 2015 ARCA 2 0 19.50 24.50 -5.634
Bubba Pollard 26 2015 CARS Pro 1 0 4.00 4.00 4.600
None 83 2015 CARS Pro 1 0 6.00 2.00 7.100
None 26, 26P 2017 CARS Pro 3 1 5.33 3.33 4.677
Vickie Pollard 26, 26P 2018 CARS Pro 4 2 9.00 13.50 -2.457
Bubba Pollard 26, 26P 2019 CARS Pro 4 3 2.00 1.50 5.013
Bubba Pollard 26 2020 CARS Pro 3 2 3.00 5.33 1.149
Pollard Motorsports 26 2020 CARS Pro 1 1 3.00 1.00 4.447
None 26P 2020 CARS Pro 1 0 6.00 24.00 -17.000
Bubba Pollard 26 2020 CARS 1 0 16.00 23.00 -9.283
Bubba Pollard 26 2021 CARS Pro 2 0 9.50 9.50 0.961
Justin Johnson 44 2021 CARS 1 0 21.00 25.00 -7.737
Marcus Richmond 26 2021 CARS 1 0 7.00 7.00 5.500
James Finch 1 2024 ARCA East 1 0 5.00 3.00 1.692
JR Motorsports 88 2024 Xfinity 1 0 37.00 6.00 20.136

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.