Age: 32
| Season | Age | Series | Starts | Wins | ASP | AFP | eARP | ASP-FP | eGR-LR | PFAE | Avg. PFAE | Laps Led | Laps Run | %LL | %LC |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012 | 20 | Lights | 7 | 0 | 9.57 | 9.57 | 9.11 | 0.00 | -0.09 | -1.11 | -0.159 | 0 | 308 | 0.00 | 72.47 |
| 2015 | 23 | EURONASCAR | 12 | 3 | 4.83 | 7.67 | 6.06 | -2.83 | -0.13 | -3.78 | -0.315 | 58 | 442 | 13.12 | 99.33 |
| 2016 | 24 | Xfinity, Trucks, EURONASCAR | 16 | 3 | 11.19 | 10.38 | 16.45 | 0.81 | 0.08 | 25.32 | 1.583 | 79 | 859 | 9.20 | 98.85 |
| 2017 | 25 | EURONASCAR, Cup | 13 | 4 | 4.62 | 6.15 | 10.58 | -1.54 | 0.20 | 12.41 | 0.955 | 100 | 419 | 23.87 | 99.29 |
| 2018 | 26 | EURONASCAR, Cup | 13 | 7 | 6.23 | 8.85 | 21.84 | -2.62 | -0.03 | -3.95 | -0.304 | 161 | 704 | 22.87 | 97.64 |
| 2019 | 27 | EURONASCAR | 13 | 3 | 5.38 | 8.54 | 5.41 | -3.15 | -0.04 | -1.10 | -0.084 | 73 | 339 | 21.53 | 89.21 |
| 2020 | 28 | EURONASCAR | 10 | 4 | 2.90 | 2.80 | 2.76 | 0.10 | 0.19 | 30.01 | 3.001 | 60 | 178 | 33.71 | 100.00 |
| Owner | Car | Season | Series | Starts | Wins | Average Start | Average Finish | Avg. PFAE |
| Belardi Auto Racing | 9 | 2012 | Lights | 7 | 0 | 9.57 | 9.57 | -0.159 |
| None | 54 | 2015 | EURONASCAR | 12 | 3 | 4.83 | 7.67 | -0.315 |
| Carl Long | 13, 40 | 2016 | Xfinity | 2 | 0 | 31.00 | 21.50 | 6.916 |
| Carlos Contreras | 71 | 2016 | Trucks | 2 | 0 | 28.00 | 25.00 | -0.420 |
| None | 54 | 2016 | EURONASCAR | 12 | 3 | 5.08 | 6.08 | 1.028 |
| None | 54 | 2017 | EURONASCAR | 12 | 4 | 2.33 | 4.00 | 1.418 |
| BK Racing | 23 | 2017 | Cup | 1 | 0 | 32.00 | 32.00 | -4.611 |
| None | 54 | 2018 | EURONASCAR | 12 | 7 | 3.92 | 6.42 | 0.495 |
| Bob Jenkins | 23 | 2018 | Cup | 1 | 0 | 34.00 | 38.00 | -9.882 |
| CAAL Racing | 54 | 2019 | EURONASCAR | 13 | 3 | 5.38 | 8.54 | -0.084 |
| PK Carsport | 24 | 2020 | EURONASCAR | 10 | 4 | 2.90 | 2.80 | 3.001 |
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.