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Guest Post: Quarterback Performance vs. Playoff Wins

Adam Steele is back for another guest post. You can view all of Adam’s posts here. As always, we thank him for contributing.


With the 2020 NFL playoffs having just concluded, now seems like a great time to tackle a question I’ve had for years: How strongly does quarterback performance correlate with team success in the postseason?

First, we need to measure quarterback performance. I graded each playoff start on a 0-4 scale, with zero being terrible and four being dominant. I chose this because it matches the academic GPA scale we’re all familiar with. The grade is based on performance while adjusting for era, opponent, weather, and other contextual factors.

Now you may be wondering why I don’t just use stats to grade games. Well, for the tiny sample of a single game stats can be very misleading, especially given the opponent and weather extremes we tend to see in the playoffs. I also prefer a rough instrument for this study so parsing all games into five buckets is ideal.

I included all quarterbacks with six or more playoff starts, giving us a sample of 69 players and 745 graded games. We’ll look at individual quarterbacks later, but for now let’s evaluate the big picture:

Full Sample
GPA: 2.05
Record: 421 – 324 (.565)
Point Diff / Game: +2.4

In Wins
GPA: 2.49
PD/G: +13.4

In Losses
GPA: 1.49
PD/G: -11.8

In this table I’ve separated win % and point differential by grade:

GradenWin %PD/G
4590.93218.6
31840.82610.4
22920.5682.8
11590.252-8.3
0510.157-13.4

This data makes the relationship between quarterback play and team success look very strong. Each grade bucket yields significantly more wins and scoring margin than the one below it. But before the #QBWins crowd takes their victory lap, the relationship is weaker if we put all 745 games into one bucket. The correlation between grade and wins is .48 and for grade and point differential it’s .56. In the real world this means that quarterback play only determines 23% of the variance in playoff wins.

How does the data look if we compare the GPA of individual quarterbacks and their teams’ postseason results? Below is every quarterback in the study along with his number of playoff starts, GPA, win %, average point differential, and his rank in the latter three categories.

QuarterbackStGPARkWin%RkPD/GRk
Bart Starr102.810.900113.21
Otto Graham121.92420.750411.82
Trent Dilfer61.33650.833211.33
Troy Aikman142.3690.71499.94
Mark Rypien72.14250.71499.65
Joe Theismann82.3880.75049.56
Jim Plunkett102.2190.700118.57
Daryle Lamonica91.89440.444508.38
Roger Staubach172.24160.647207.79
Terry Bradshaw192.5340.73787.610
Jim McMahon62.17230.500387.511
Tom Brady452.18220.75636.812
Joe Montana232.5630.696126.813
Patrick Mahomes82.550.75046.414
Nick Foles62.33100.667146.215
Joe Flacco152.07360.667145.316
Drew Bledsoe61.33650.500385.217
Steve Young142.21170.571265.018
Rich Gannon72.14250.571265.018
Brad Johnson71.57590.571265.018
Kurt Warner132.4660.692134.221
Colin Kaepernick62.6720.667144.222
Jim Kelly162.06370.563303.923
Russell Wilson162.19200.563303.923
Danny White101.7510.500383.125
Donovan McNabb162380.563303.126
Jake Delhomme82.13290.625213.027
Phil Simms101.7510.600232.728
Johnny Unitas82380.75042.529
Brett Favre242.21170.542362.330
Bob Griese111.64560.545342.331
Kerry Collins71.86470.429521.732
Aaron Rodgers202.3120.550331.633
John Elway212.19200.667141.534
Alex Smith72.29130.286681.435
Drew Brees182.11300.500381.336
Ben Roethlisberger222380.591241.137
Ken Stabler122.4270.583250.938
Cam Newton72.14250.429520.939
Neil O'Donnell71.57590.429520.740
Peyton Manning272.15240.519370.741
Mark Sanchez62380.667140.542
Mark Brunell101.5610.500380.542
Eli Manning122.08350.667140.344
Fran Tarkenton112.09330.54534-0.245
Matt Hasselbeck112.09330.45549-0.346
Len Dawson82.25150.62521-0.447
Philip Rivers121.92420.41757-0.448
Bernie Kosar72.29130.42952-0.449
Billy Kilmer71.86470.28668-0.950
Ron Jaworski81.88460.37559-1.451
Doug Williams71.43640.57126-1.452
Matt Ryan102.1310.40058-1.653
Steve McNair101.6580.50038-1.653
Jake Plummer61.5610.50038-2.755
Tony Romo61.67530.33360-2.856
Chad Pennington61.83490.33360-3.057
Jack Kemp61.33650.33360-3.558
Dave Krieg91.44630.33360-3.659
Craig Morton101.2690.50038-4.360
Ken Anderson62.33100.33360-4.361
Randall Cunningham91.78500.33360-4.762
Warren Moon102.1310.30060-5.363
Dan Fouts72.14250.42952-5.664
Dan Marino181.89440.44450-5.765
Andrew Luck81.63570.50038-6.366
Jeff Garcia61.67530.33360-7.367
Stan Humphries61.33650.50038-7.868
Vince Ferragamo61.67530.50038-9.869

Well, the correlations get even weaker. At the individual level, a quarterback is only responsible for 17% of his postseason record! Put another way, 83% of a quarterback’s postseason record is determined by factors other than the quarterback himself. The inescapable conclusion is that judging a quarterback by his teams’ playoff results is the laziest possible way to evaluate his performance.

I’ll spare you my personal opinions about the quarterbacks in this study, but it’s worth noting that many of them have a huge disconnect between their performance and their team results. Compare Trent Dilfer and Ken Anderson or the four quarterbacks who have exactly seven starts and a 2.14 GPA. Check out the point differentials for the big four of the most recent era.

What do you take from this study? I’d love to hear your thoughts in the comments!

Editor’s Note: I created a bubble graph using the data above; the size of each bubble corresponds to the number of playoff starts (can you find Brady?). The X-Axis shows QB grade, while the Y-Axis shows winning percentage. Yes, that’s Dilfer up on the top left.

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