A.J. Allmendinger

Age: 43

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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
2006 24 Trucks 3 0 1 1 19.67 17.33 19.55 2.33 0.17 5.29 1.762 66.7 9 307 2.93 72.41
2007 25 Xfinity, Trucks, Cup 33 0 1 2 23.88 26.82 27.25 -2.94 -0.13 -146.08 -4.427 39.4 12 7925 0.15 87.50
2008 26 Xfinity, Trucks, Cup 29 0 0 2 25.66 23.97 24.34 1.69 -0.02 -31.92 -1.101 55.2 14 7311 0.19 89.84
2009 27 Cup 36 0 1 6 22.75 22.36 22.44 0.39 0.04 3.19 0.089 55.6 0 10208 0.00 97.29
2010 28 Cup 36 0 2 8 16.06 17.81 15.96 -1.75 -0.02 74.69 2.075 72.2 181 10196 1.78 94.60
2011 29 Cup 36 0 1 10 14.86 16.06 15.05 -1.19 0.02 106.71 2.964 63.9 51 10387 0.49 97.53
2012 30 Cup 21 0 1 3 16.29 22.57 18.39 -6.29 -0.17 -79.29 -3.776 38.1 99 5816 1.70 89.99
2013 31 Xfinity, IndyCar, Cup 26 2 2 4 17.73 19.19 19.96 -1.46 -0.09 -25.58 -0.984 46.2 125 5459 2.29 94.82
2014 32 Cup 36 1 2 5 19.67 20.17 19.45 -0.50 0.03 -25.92 -0.720 50.0 68 10280 0.66 97.52
2015 33 Cup 36 0 0 3 21.58 23.08 22.00 -1.50 -0.03 -77.01 -2.139 44.4 55 10006 0.55 95.98
2016 34 Cup 36 0 2 9 17.17 17.81 16.35 -0.64 0.01 39.88 1.108 63.9 29 10018 0.29 95.20
2017 35 Cup 36 0 1 5 23.86 22.00 23.01 1.86 0.00 -15.53 -0.431 44.4 7 9941 0.07 93.95
2018 36 Xfinity, Cup 37 0 2 6 21.62 20.73 21.41 0.89 0.02 -14.98 -0.405 51.4 30 9296 0.32 89.97
2019 37 Xfinity 5 1 2 2 4.20 20.60 9.81 -16.40 -0.20 -52.11 -10.423 40.0 87 369 23.58 100.00
2020 38 Xfinity 11 2 6 8 30.09 8.91 17.83 21.18 0.74 180.88 16.444 100.0 210 1442 14.56 99.72
2021 39 Xfinity, Trucks, Cup 39 6 20 25 8.38 10.49 7.63 -2.10 0.13 128.83 3.303 69.2 431 5350 8.06 96.05
2022 40 Xfinity, Cup 51 5 20 36 12.04 9.75 12.83 2.29 0.27 289.93 5.685 78.4 378 9837 3.84 99.02
2023 41 Xfinity, Cup 41 3 8 12 18.20 17.59 20.48 0.61 0.07 37.84 0.923 58.5 145 9552 1.52 98.15
2024 42 Xfinity, Cup 49 1 7 23 12.35 15.71 13.98 -3.37 -0.04 17.30 0.353 61.2 294 7882 3.73 87.17
Owner Car Season Series Starts Wins Average Start Average Finish Avg. PFAE
Bill Davis 24 2006 Trucks 3 0 19.67 17.33 1.762
Chip Ganassi 41, 42 2007 Xfinity 7 0 17.86 22.29 -1.977
Darrell Waltrip 00 2007 Trucks 9 0 19.44 21.33 -2.511
Dietrich Mateschitz 84 2007 Cup 17 0 28.71 31.59 -6.449
George Gillett, Jr. 9 2008 Xfinity 1 0 28.00 12.00 12.236
David Dollar 47 2008 Trucks 1 0 34.00 17.00 10.147
Dietrich Mateschitz 84 2008 Cup 21 0 22.57 25.76 -3.923
Gillett Evernham Motorsports 10 2008 Cup 5 0 34.00 16.40 8.721
Michael Waltrip 00 2008 Cup 1 0 38.00 43.00 -15.514
Richard Petty Motorsports 44 2009 Cup 36 0 22.75 22.36 0.089
Richard Petty Motorsports 43 2010 Cup 36 0 16.06 17.81 2.075
Richard Petty Motorsports 43 2011 Cup 36 0 14.86 16.06 2.964
James Finch 51 2012 Cup 4 0 25.75 30.75 -7.835
Roger Penske 22 2012 Cup 17 0 14.06 20.65 -2.821
Roger Penske 22 2013 Xfinity 2 2 1.50 1.00 6.533
Roger Penske 2 2013 IndyCar 6 0 9.33 19.17 -6.745
James Finch 51 2013 Cup 9 0 23.11 22.11 -1.221
JTG-Daugherty Racing 47 2013 Cup 9 0 21.56 20.33 1.423
JTG-Daugherty Racing 47 2014 Cup 36 1 19.67 20.17 -0.720
JTG-Daugherty Racing 47 2015 Cup 36 0 21.58 23.08 -2.139
JTG-Daugherty Racing 47 2016 Cup 36 0 17.17 17.81 1.108
JTG-Daugherty Racing 47 2017 Cup 36 0 23.86 22.00 -0.431
Maury Gallagher 23 2018 Xfinity 1 0 4.00 2.00 8.530
JTG-Daugherty Racing 47 2018 Cup 36 0 22.11 21.25 -0.653
Matthew Kaulig 10 2019 Xfinity 5 1 4.20 20.60 -10.423
Matthew Kaulig 16 2020 Xfinity 11 2 30.09 8.91 16.444
Matthew Kaulig 16 2021 Xfinity 33 5 6.58 9.15 3.576
Maury Gallagher 23 2021 Trucks 1 0 25.00 27.00 -5.451
Matthew Kaulig 16 2021 Cup 5 1 17.00 16.00 3.251
Matthew Kaulig 16 2022 Xfinity 32 5 8.13 6.75 6.923
None 16 2022 Xfinity 1 0 4.00 4.00 6.932
Matthew Kaulig 16 2022 Cup 18 0 19.44 15.39 3.415
Matthew Kaulig 10 2023 Xfinity 5 2 3.80 3.20 8.744
Matthew Kaulig 16 2023 Cup 36 1 20.19 19.58 -0.163
Matthew Kaulig 16 2024 Xfinity 33 1 8.12 13.39 0.737
Matthew Kaulig 13, 16 2024 Cup 16 0 21.06 20.50 -0.440

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.