Age: 32
| Season | Age | Series | Starts | Wins | T5 | T10 | ASP | AFP | eARP | ASP-FP | eGR-LR | PFAE | Avg. PFAE | Succ% | Laps Led | Laps Run | %LL | %LC |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009 | 16 | ARCA | 4 | 0 | 1 | 3 | 11.25 | 8.25 | 9.37 | 3.00 | 0.21 | 26.84 | 6.710 | 75.0 | 42 | 812 | 5.17 | 100.00 |
| 2010 | 17 | ARCA | 6 | 0 | 2 | 3 | 12.83 | 12.83 | 10.14 | 0.00 | 0.08 | 21.69 | 3.616 | 66.7 | 3 | 594 | 0.51 | 86.72 |
| 2015 | 22 | Trucks, CARS Pro | 3 | 0 | 0 | 0 | 11.67 | 20.33 | 16.22 | -8.67 | -0.44 | -22.27 | -7.422 | 0.0 | 0 | 341 | 0.00 | 90.93 |
| 2016 | 23 | ARCA | 3 | 0 | 1 | 1 | 8.67 | 13.67 | 9.49 | -5.00 | -0.05 | -7.14 | -2.379 | 66.7 | 0 | 336 | 0.00 | 84.00 |
| 2017 | 24 | ARCA | 6 | 1 | 4 | 4 | 13.00 | 5.83 | 8.04 | 7.17 | 0.61 | 38.58 | 6.429 | 100.0 | 96 | 901 | 10.65 | 99.89 |
| 2018 | 25 | ARCA, Trucks | 4 | 0 | 0 | 1 | 16.25 | 22.75 | 16.80 | -6.50 | -0.48 | -28.46 | -7.116 | 25.0 | 0 | 280 | 0.00 | 42.42 |
| 2019 | 26 | Trucks | 4 | 0 | 0 | 0 | 21.75 | 25.00 | 23.32 | -3.25 | -0.21 | -23.91 | -5.978 | 0.0 | 0 | 374 | 0.00 | 60.91 |
| Owner | Car | Season | Series | Starts | Wins | Average Start | Average Finish | Avg. PFAE |
| Brad Keselowski | 29 | 2009 | ARCA | 4 | 0 | 11.25 | 8.25 | 6.710 |
| Ron Keselowski | 29 | 2010 | ARCA | 6 | 0 | 12.83 | 12.83 | 3.616 |
| Mark Rette | 30 | 2015 | Trucks | 2 | 0 | 15.50 | 21.00 | -5.933 |
| Bob Finley | 42 | 2015 | CARS Pro | 1 | 0 | 4.00 | 19.00 | -10.400 |
| Jeff Finley | 51 | 2016 | ARCA | 3 | 0 | 8.67 | 13.67 | -2.379 |
| Jeff Finley | 51 | 2017 | ARCA | 6 | 1 | 13.00 | 5.83 | 6.429 |
| Jeff Finley | 51 | 2018 | ARCA | 1 | 0 | 13.00 | 23.00 | -10.963 |
| Jeff Finley | 42 | 2018 | Trucks | 2 | 0 | 16.00 | 18.00 | -2.054 |
| Josh Reaume | 33 | 2018 | Trucks | 1 | 0 | 20.00 | 32.00 | -13.391 |
| Jeff Finley | 42 | 2019 | Trucks | 4 | 0 | 21.75 | 25.00 | -5.978 |
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.