Con Nicolopoulos

Age: 63

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Season Age Series Starts Wins T5 T10 ASP AFP eARP ASP-FP eGR-LR PFAE Avg. PFAE Succ% Laps Led Laps Run %LL %LC
2011 49 ARCA 8 0 0 0 29.88 31.75 31.63 -1.88 -0.45 -53.82 -6.727 12.5 0 38 0.00 3.28
2014 52 ARCA 4 0 0 0 25.00 26.50 24.81 -1.50 -0.21 -20.15 -5.038 0.0 0 89 0.00 14.86
2015 53 ARCA 13 0 0 0 23.69 24.54 22.78 -0.85 -0.11 -38.28 -2.945 15.4 0 571 0.00 29.04
2016 54 ARCA 17 0 0 0 25.24 24.65 23.30 0.59 -0.13 -43.90 -2.582 23.5 0 423 0.00 17.88
2017 55 ARCA 18 0 0 0 24.61 23.56 22.03 1.06 -0.14 -38.48 -2.138 33.3 0 1274 0.00 49.49
2018 56 ARCA 17 0 0 0 24.35 21.53 22.64 2.82 -0.05 -0.46 -0.027 41.2 0 514 0.00 21.69
2019 57 ARCA 4 0 0 0 25.25 21.00 24.97 4.25 0.14 -2.75 -0.687 25.0 0 211 0.00 56.87
2020 58 ARCA, ARCA East 8 0 0 1 17.75 15.75 15.79 2.00 -0.10 0.67 0.084 37.5 0 697 0.00 70.83
2021 59 ARCA 2 0 0 0 24.00 21.00 22.69 3.00 -0.01 -8.94 -4.468 0.0 0 154 0.00 97.47
2022 60 ARCA 2 0 0 0 28.50 26.50 31.00 2.00 0.06 -12.71 -6.357 0.0 0 76 0.00 62.30
2024 62 ARCA 3 0 0 0 20.33 23.33 22.64 -3.00 -0.16 -13.54 -4.515 33.3 0 182 0.00 48.40
Owner Car Season Series Starts Wins Average Start Average Finish Avg. PFAE
Brad Smith 26, 94 2011 ARCA 7 0 29.43 31.57 -6.387
Wayne Hixson 29 2011 ARCA 1 0 33.00 33.00 -9.104
Wayne Peterson 0, 00 2014 ARCA 4 0 25.00 26.50 -5.038
Wayne Peterson 0, 06 2015 ARCA 13 0 23.69 24.54 -2.945
Wayne Peterson 0, 06 2016 ARCA 17 0 25.24 24.65 -2.582
Wayne Peterson 0, 06, 88 2017 ARCA 18 0 24.61 23.56 -2.138
Wayne Peterson 0, 06 2018 ARCA 17 0 24.35 21.53 -0.027
Wayne Peterson 0, 06 2019 ARCA 4 0 25.25 21.00 -0.687
Wayne Peterson 0, 06 2020 ARCA 7 0 17.86 15.71 -0.018
Wayne Peterson 06 2020 ARCA East 1 0 17.00 16.00 0.800
Wayne Peterson 06 2021 ARCA 2 0 24.00 21.00 -4.468
David Richmond 27 2022 ARCA 1 0 24.00 24.00 -3.880
Wayne Peterson 0 2022 ARCA 1 0 33.00 29.00 -8.833
Wayne Peterson 0, 06 2024 ARCA 3 0 20.33 23.33 -4.515

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.