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A Regression-Based Adjusted Plus-Minus Statistic for NHL Players
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Brian Macdonald
Veröffentlicht/Copyright:
19. Juli 2011
The goal of this paper is to develop an adjusted plus-minus statistic for NHL players that is independent of both teammates and opponents. We use data from the shift reports on NHL.com in a weighted least squares regression to estimate an NHL player's effect on his team's success in scoring and preventing goals at even strength. Both offensive and defensive components of adjusted plus-minus are given, estimates in terms of goals per 60 minutes and goals per season are given, and estimates for forwards and defensemen are given.
Published Online: 2011-7-19
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Artikel in diesem Heft
- Article
- Estimating the Offsetting Effects of Driver Behavior in Response to Safety Regulation: The Case of Formula One Racing
- Predicting the Atlanta Falcons Play-Calling Using Discriminant Analysis
- Computing the Probability of Winning a Competition with an Application to Horse Races
- A Regression-Based Adjusted Plus-Minus Statistic for NHL Players
- Markov Analysis of APBA, a Baseball Simulation Game
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- You're Hurting My Game: Lineup Protection and Injuries in Major League Baseball
- Factor Analysis in Performance Diagnostic Data of Competitive Ski Jumpers and Nordic Combined Athletes
- Match Analysis of Elite Ice Sledge Hockey in Paralympics 2010
- And After That, Who Knows?: Detailing the Marginal Accuracy of Weekly College Football Polls
- On Estimating the Ability of NBA Players
- The Quarterback Prediction Problem: Forecasting the Performance of College Quarterbacks Selected in the NFL Draft
- Finally, Evidence for a Momentum Effect in the NBA
- Are NFL Coaches Risk and Loss Averse? Evidence from Their Use of Kickoff Strategies
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- Using Generalizability Theory to Examine Scoring Reliability and Variability of Judging Panels in Skating Competitions
- Development of a Behavioural Assessment System for Achievement Motivation in Soccer Matches
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