Mar 17 2009

Effective Rebounding Rates

Tweet Earlier in the season I wrote myself the following note while watching a Clippers game: Is Baron Davis really a “very good” rebounder for a guard? How would we determine this? (Please continue once you’re done laughing at the fact I was actually watching a Clippers game.) This note was the result of listening […]

Mar 11 2009

Referee Efficiency Ratings

Tweet Last Saturday I attended the MIT Sloan Sports Analytics Conference. During the Basketball Analytics panel, this quote from Mark Cuban got me thinking: There’s not 10 players on the court, there’s 13. And three of them determine about 80 percent of what happens out there. Along with this excerpt, he mentioned something along the […]

Mar 6 2009

Measuring the Relationship Between Players and their Lineup’s Effective FG%

Tweet In my last post I presented a method for measuring the relationship between players and their lineup’s shot distribution. This, however, is only part of the picture. We also need to know the relationship between players and their lineup’s shooting percentages from those locations on the court to determine if a player has a […]

Mar 4 2009

Measuring the Relationship Between Players and their Lineup’s Shot Distribution

Tweet In my last post I looked at how we might rate a player’s impact on their lineup’s FG% in the low paint. With this came the obvious question of: “What about shot distribution?” With this question in mind, I’ve finally put forth efforts into trying to make sense out of how players fit together. […]

Mar 2 2009

Rating a Player’s Impact on Shooting Percentages in the Low Paint

Tweet Studying the relationship between shooting and defensive efficiency has made me wonder what, if anything, we can learn by rating a player’s impact on shooting percentages from various locations on the court. The Model Borrowing from the idea of adjusted plus/minus, I ran a logistic regression for data from the ’07-’08 regular season for the […]

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