Plain English with Derek Thompson
Plain English with Derek Thompson

Why Is It So Hard to Predict the Next Great Quarterback?

This week we have the NFL draft, which is an annual exercise in failure. Every year, some NFL team makes a disastrous quarterback decision but also overlooks a potential star. Why is it so damn hard to predict QB play in football? Are scouts stupid, or is the future just unknowable, or is hiring fun

Topics Discussed

Episode Summary

Executive Summary: The episode argues that NFL teams are poor at predicting quarterback success because draft evaluation heavily overweights noisy signals like combine metrics and college production while underweighting context. Draft position mainly predicts opportunity, not per-play performance; quarterback outcomes are highly shaped by teammates, coaching, and opponent quality, making talent forecasting far less reliable than fans and scouts assume.

Main Topics: Why quarterback prediction is so hard (Priority: 5/5): The discussion centers on the NFL draft as a test case for predicting human talent, with quarterbacks serving as the clearest example of how difficult it is to forecast future success. Draft position vs. actual performance (Priority: 5/5): Berry argues that being drafted earlier gives quarterbacks more chances to play, but does not reliably predict how well they will perform once on the field. The failure of combine and college metrics (Priority: 5/5): The episode critiques combine measurements and most college stats as weak predictors of NFL quarterback success, with college completion percentage as the only small positive signal. Context, teammates, and coaching (Priority: 5/5): A major theme is that quarterback performance depends heavily on offensive line quality, receivers, play-calling, and defensive opposition, making the position unusually contextual. Variance and randomness in quarterback outcomes (Priority: 4/5): Season-to-season quarterback performance is shown to be volatile, reinforcing the idea that talent evaluation is confounded by changing environments and small-sample noise. Scouting implications beyond quarterbacks (Priority: 4/5): The conversation concludes that some positions, like offensive line and possibly wide receiver/defensive back, are more predictable because they are less context-dependent than quarterback.

Key Arguments: NFL teams are good at selecting quarterbacks who will get opportunities, but not at selecting quarterbacks who will be efficient or productive per play. Combine data such as height, hand size, 40-yard dash, and the Wonderlic test are largely irrelevant to quarterback performance. College completion percentage is statistically significant but only weakly predictive, so it is not very useful for decision-making. Quarterback production is deeply shaped by surrounding talent, coaching, play design, and the strength of opposing defenses. The draft creates a bias because top quarterbacks often land on the worst teams, making their early results look worse or more chaotic. Much of quarterback evaluation mistakes context-driven outcomes for individual skill, producing a halo effect around highly drafted players. Season-to-season quarterback statistics can fluctuate heavily, showing that even established veterans are not stable performance forecasters. Position matters: offensive linemen and some skill positions are more predictable because their performance is more directly tied to transferable, measurable abilities.

Data Points: Top 4 QBs in 2021 draft: Threw more interceptions than touchdowns in their rookie year - Used as an example of how poorly draft position predicts early NFL quarterback success. Rookie QBs with more than 12 touchdowns in 2021: 2 - Mac Jones (5th QB selected) and Davis Mills (8th QB selected) were the only rookie quarterbacks to surpass 12 passing touchdowns. 2018 draft No. 1 pick: Baker Mayfield - Cited as an example of a high pick whose career did not match top-draft expectations. 2018 draft QB picked fifth: Lamar Jackson won MVP - Illustrates that elite quarterback performance can come from later draft slots. 2018 draft QB picked third: Josh Allen - Mentioned as a top-tier quarterback success story from the same draft class. 2017 draft first QB taken: Mitchell Trubisky - Cited as a player drafted ahead of Patrick Mahomes despite Mahomes becoming the better quarterback. Draft-performance relationship: No statistical relationship between draft position and per-play performance - Core finding from Berry's research. Performance effect of draft slot: Picks 11-50 and 51-90 outperform top-10 picks on a per-play basis - Quoted finding from the paper. College completion percentage: Only statistically significant positive predictor, but very small effect - The lone measure with a positive signal in the analysis. Season-to-season interception correlation: Basically zero - From Berry and Brian Burke's work on quarterback year-to-year stability. Season-to-season touchdown correlation: Only a little higher than zero - Shows limited stability in quarterback passing outcomes over time. NFL draft selection count: 7 rounds; example of quarterbacks being selected late or undrafted - Used to explain why many potentially capable quarterbacks never get extended chances.

Pivotal Quotes: "On a per-play basis, quarterbacks chosen with picks 11 through 50, as well as picks 51 through 90, outperform quarterbacks chosen in the top 10." — David Berry: Berry summarizing a key finding from the paper. "They do not know that. There is no statistical relationship between per-play performance and where they're actually drafted." — David Berry: Answering whether draft position predicts quarterback quality. "The quarterback is not out there by themselves." — David Berry: Explaining why context and supporting cast drive outcomes.

Implications: Teams should stop treating quarterback scouting as a quest for a lone savior and instead prioritize system fit, supporting cast, and decision quality. For fans, it explains why draft hype often fails and why quarterback evaluation remains one of sports’ hardest forecasting problems.

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