Moneyball Highlights: Assessing the Value of NFL Head Coaches
Nov 15, 2023
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Hosts discuss the value of NFL coaches and Eric Eager's work. They examine a paper on the influence of NFL coaches and challenges in measuring their impact. Coaches like Belichick, Harbaugh, and Reed are assessed for their impact on points per game. The concept of coaching effects and market efficiency is analyzed. Difficulties in modeling interactions in football and the potential impact of coaching on player performance are explored.
Eager's research highlights the challenges of attributing coaching value in football due to noise in data and limited sample size.
Eager's top-down analysis reveals insights into specific coaches, with Pete Carroll consistently outperforming player expectations and Matt LaFleur showing potential underperformance.
Deep dives
Coaching Assessment in NFL: Eric Eager's Approach
Eric Eager, a football analytics expert, has conducted research on assessing the value of NFL coaches. Using top-down analysis, he examines the impact of coaches on the point spread. His approach involves examining game-by-game data, including quarterbacks, coaches, and point spreads. By comparing expected outcomes based on player performance to actual outcomes, Eager identifies coaching effects that may be missed by the market. The study highlights the challenges of attributing coaching value due to the noise in football data and the limited sample size. Eager's analysis reveals both positive surprises, such as the effectiveness of Pete Carroll, and negative surprises, like the underperformance of Matt LaFleur. While acknowledging the need for further refinement, Eager's research represents a step forward in understanding the impact of coaching in the NFL.
Limitations of Bottom-Up Models
Eager's research offers a different perspective by focusing on a top-down analysis of coaching effects in contrast to bottom-up models. While bottom-up models assess coaching value based on players' on-field performance, Eager takes a broader approach. He recognizes that football is a noisy game with numerous interactions between players, making it challenging to capture coaching impacts using only player-centric data. Eager's research explores complex interactions and nonlinear effects, including the combination of player and coaching talent. The study emphasizes the importance of considering coaching effects beyond linear player contributions, highlighting the need for improved models to better capture coaching value.
Pete Carroll and Matt LaFleur: Surprising Coaching Insights
Eager's research yields intriguing insights into specific coaches. Pete Carroll stands out as a coach who consistently outperforms player expectations. Despite the talent at his disposal, Carroll's coaching contributes significantly to the team's success, as exemplified by his work with quarterback Russell Wilson. On the other hand, Eager's analysis raises questions about Matt LaFleur's coaching effectiveness. While previous bottom-up models praised LaFleur, Eager's top-down approach reveals a different perspective, suggesting a less favorable evaluation. These findings underscore the complexity of assessing coaching impacts and the limitations of relying solely on traditional player-centric models.
Wharton's Cade Massey, Adi Wyner, and Eric Bradlow speak with Eric A Eager, Vice President at SumerSports, about the value of NFL coaches and how much they really impact the game.