Dec 29 2009

College Basketball: Rating Individual 3FG%

Tweet My last post presented a model for predicting 3FG% based on a player’s ability, age, and role in the offense. A comment by DSMok1 inspired the model I will present in this post. He writes: I was considering how best to create an “equalized” measure of 3pt and 2pt % for college players, based [...]

Dec 11 2009

The Relationship Between Age, Usage, and 3FG%

Tweet In my last two posts I have taken a look at modeling a player’s 3FG% based on their age, and I’ve also estimated the relationship between usage and 3FG%. In this post I would like to bring these two topics together and estimate the relationship between age, usage, and 3FG%. The Data To put [...]

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Dec 10 2009

The Tradeoff Between Usage and 3FG%

Tweet My last post on the relationship between age and 3FG%, Brian Tung brought up a topic that I’ve wanted to look at: … I’m not even sure that history is necessarily a good guide here, as players shoot those treys under fairly different circumstances at different stages of their careers. Who’s to say that [...]

Dec 9 2009

Estimating the Impact of Aging on 3FG%

Tweet The impact of aging on player performance interests me, but I haven’t really done anything useful in this area. Baseball’s recent debate (really fantastic stuff) on the topic of player aging curves has motivated me to take a closer look at the affect of aging on 3pt shooting. Ed Küpfer’s three year old post [...]

Dec 5 2009

Estimating Individual Impact on Defensive Efficiency

Tweet Earlier this week in @johnschuhmann‘s excellent column The Numbers Game, John looks at how Andre Miller impacts defensive efficiency. This, along with @kpelton‘s note that “the Blazers have been more effective defensively when Joel Przybilla is playing than when Greg Oden is playing” (from Blazersedge) has helped motivate me to look at what estimates [...]

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