Alex Clubb

Age: 33

More filters
Season Age Series Starts Wins T5 T10 ASP AFP eARP ASP-FP eGR-LR PFAE Avg. PFAE Succ% Laps Led Laps Run %LL %LC
2015 23 ARCA 3 0 0 0 19.33 23.00 17.83 -3.67 -0.40 -15.12 -5.040 0.0 0 128 0.00 31.37
2017 25 ARCA 1 0 0 0 21.00 18.00 19.50 3.00 0.15 1.24 1.238 100.0 0 57 0.00 57.00
2018 26 ARCA 3 0 0 0 18.33 17.33 17.79 1.00 0.00 -2.43 -0.810 66.7 0 233 0.00 57.39
2019 27 ARCA 3 0 0 0 15.67 15.67 14.90 0.00 -0.22 -1.95 -0.650 66.7 0 199 0.00 39.56
2020 28 ARCA 1 0 0 0 17.00 18.00 17.50 -1.00 -1.00 -2.82 -2.816 0.0 0 1 0.00 1.00
2021 29 ARCA, ARCA East 8 0 0 2 15.75 13.13 14.04 2.63 0.07 13.62 1.703 87.5 0 1069 0.00 78.89
2022 30 ARCA, ARCA East, ARCA West 18 0 0 0 22.33 20.39 20.48 1.94 -0.13 -37.55 -2.086 50.0 0 1300 0.00 48.54
2023 31 ARCA, ARCA East, ARCA West 21 0 0 1 20.62 17.81 18.42 2.81 0.02 5.88 0.280 66.7 3 1844 0.16 63.85
2024 32 ARCA, ARCA East, ARCA West 27 0 0 1 23.48 19.48 20.30 4.00 0.11 9.33 0.346 51.9 0 2808 0.00 74.88
Owner Car Season Series Starts Wins Average Start Average Finish Avg. PFAE
Roger Carter 40, 97 2015 ARCA 3 0 19.33 23.00 -5.040
Alex Clubb 97 2017 ARCA 1 0 21.00 18.00 1.238
Alex Clubb 03 2018 ARCA 3 0 18.33 17.33 -0.810
Alex Clubb 03 2019 ARCA 2 0 16.00 13.50 1.531
Wayne Peterson 0 2019 ARCA 1 0 15.00 20.00 -5.012
Michelle Hillenburg 01 2020 ARCA 1 0 17.00 18.00 -2.816
David Richmond 27 2021 ARCA 7 0 14.57 12.57 1.280
David Richmond 27 2021 ARCA East 1 0 24.00 17.00 4.667
Alex Clubb 03 2022 ARCA 14 0 20.86 19.50 -2.057
Alex Clubb 03 2022 ARCA East 3 0 24.00 24.33 -2.917
Alex Clubb 03 2022 ARCA West 1 0 38.00 21.00 0.000
Alex Clubb 03 2023 ARCA 16 0 19.88 17.81 -0.274
Alex Clubb 03 2023 ARCA East 4 0 22.00 17.75 1.128
Alex Clubb 03 2023 ARCA West 1 0 27.00 18.00 5.750
Alex Clubb 03 2024 ARCA 21 0 22.81 19.29 -0.065
Alex Clubb 03 2024 ARCA East 5 0 23.20 18.20 1.439
Alex Clubb 03 2024 ARCA West 1 0 39.00 30.00 3.500

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.