Isolating the Effect of Individual Linemen on the Passing Game in the National Football League
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Benjamin C Alamar
and Jesse Weinstein-Gould
Protecting the quarterback is an integral part of the passing game in the National Football league, yet the relationship between the abilities of an individual lineman and the effectiveness of a passing game remains unexplored. One of the principal reasons for this lack of study is the absence of publicly available data that is needed in order to track the performance of a specific lineman. In order to create the relevant data, the first 3 games of the 2007 NFL season for seven different teams were charted. The performance of each lineman was recorded on every pass play, as well as the amount of undisturbed time the quarterback was given (time in the pocket) to make a throw. These data were used in a series of regressions to determine how likely a lineman was to successfully hold his block in relation to the time it took for the quarterback to throw the ball, for each lineman in the sample. These data were also used to estimate the correlation between successful blocking and completion rate. The results of these regressions were then used to simulate the effects that different linemen have on the passing game. The trade in the offseason between the New York Jets and Washington Redskins which sent left guard Pete Kendall to Washington was examined. The analysis finds that the Jets lost approximately 3 percentage points on their completion rate due to the trade.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
Articles in the same Issue
- Conference Paper
- New England Symposium on Statistics in Sports
- Estimating Situational Effects on OPS
- Why On-Base Percentage is a Better Indicator of Future Performance than Batting Average: An Algebraic Proof
- Improving Major League Baseball Park Factor Estimates
- In Search of the "Last-Ups" Advantage in Baseball: A Game-Theoretic Approach
- The Role of Rest in the NBA Home-Court Advantage
- Racial Bias in the NBA: Implications in Betting Markets
- A Simple and Flexible Rating Method for Predicting Success in the NCAA Basketball Tournament: Updated Results from 2007
- The Passing Premium Puzzle Revisited
- Isolating the Effect of Individual Linemen on the Passing Game in the National Football League
- Probability and Statistical Models for Racing
- Improving Golf Instruction with the iClub Motion Capture Technology
- Composite Poisson Models for Goal Scoring
- Skill Evaluation in Women's Volleyball
- Probability Formulas and Statistical Analysis in Tennis
Articles in the same Issue
- Conference Paper
- New England Symposium on Statistics in Sports
- Estimating Situational Effects on OPS
- Why On-Base Percentage is a Better Indicator of Future Performance than Batting Average: An Algebraic Proof
- Improving Major League Baseball Park Factor Estimates
- In Search of the "Last-Ups" Advantage in Baseball: A Game-Theoretic Approach
- The Role of Rest in the NBA Home-Court Advantage
- Racial Bias in the NBA: Implications in Betting Markets
- A Simple and Flexible Rating Method for Predicting Success in the NCAA Basketball Tournament: Updated Results from 2007
- The Passing Premium Puzzle Revisited
- Isolating the Effect of Individual Linemen on the Passing Game in the National Football League
- Probability and Statistical Models for Racing
- Improving Golf Instruction with the iClub Motion Capture Technology
- Composite Poisson Models for Goal Scoring
- Skill Evaluation in Women's Volleyball
- Probability Formulas and Statistical Analysis in Tennis