Age: 31
| Season | Age | Series | Starts | Wins | ASP | AFP | eARP | ASP-FP | eGR-LR | PFAE | Avg. PFAE | Laps Led | Laps Run | %LL | %LC |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016 | 22 | ARCA | 3 | 0 | 22.67 | 18.67 | 20.77 | 4.00 | 0.14 | 3.83 | 1.276 | 0 | 254 | 0.00 | 84.67 |
| 2017 | 23 | ARCA | 1 | 0 | 21.00 | 21.00 | 21.00 | 0.00 | 0.00 | -1.76 | -1.762 | 0 | 83 | 0.00 | 83.00 |
| 2018 | 24 | ARCA | 1 | 0 | 16.00 | 19.00 | 17.25 | -3.00 | -0.30 | -3.01 | -3.012 | 1 | 67 | 1.49 | 67.00 |
| 2019 | 25 | ARCA | 3 | 0 | 13.33 | 13.33 | 12.79 | 0.00 | -0.08 | -0.10 | -0.033 | 0 | 207 | 0.00 | 68.77 |
| 2020 | 26 | ARCA | 1 | 0 | 11.00 | 15.00 | 13.00 | -4.00 | -0.67 | -3.80 | -3.800 | 0 | 21 | 0.00 | 21.00 |
| 2021 | 27 | ARCA | 1 | 0 | 7.00 | 7.00 | 7.00 | 0.00 | 0.00 | 1.24 | 1.238 | 0 | 100 | 0.00 | 100.00 |
| 2022 | 28 | ARCA | 2 | 0 | 18.00 | 17.00 | 11.50 | 1.00 | -0.38 | -0.29 | -0.147 | 0 | 100 | 0.00 | 33.33 |
| 2023 | 29 | ARCA | 1 | 0 | 15.00 | 6.00 | 10.50 | 9.00 | 0.64 | 8.54 | 8.538 | 0 | 105 | 0.00 | 100.00 |
| Owner | Car | Season | Series | Starts | Wins | Average Start | Average Finish | Avg. PFAE |
| Darrell Jent | 14 | 2016 | ARCA | 1 | 0 | 17.00 | 22.00 | -5.765 |
| Wayne Hixson | 64 | 2016 | ARCA | 2 | 0 | 25.50 | 17.00 | 4.796 |
| Andy Hillenburg | 10 | 2017 | ARCA | 1 | 0 | 21.00 | 21.00 | -1.762 |
| Andy Hillenburg | 11 | 2018 | ARCA | 1 | 0 | 16.00 | 19.00 | -3.012 |
| Andy Hillenburg | 11 | 2019 | ARCA | 3 | 0 | 13.33 | 13.33 | -0.033 |
| Andy Hillenburg | 10 | 2020 | ARCA | 1 | 0 | 11.00 | 15.00 | -3.800 |
| Andy Hillenburg | 10 | 2021 | ARCA | 1 | 0 | 7.00 | 7.00 | 1.238 |
| Andy Hillenburg | 11 | 2022 | ARCA | 1 | 0 | 13.00 | 10.00 | 2.813 |
| Billy Venturini | 55 | 2022 | ARCA | 1 | 0 | 23.00 | 24.00 | -3.107 |
| Andy Hillenburg | 11 | 2023 | ARCA | 1 | 0 | 15.00 | 6.00 | 8.538 |
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.