Mar 29 2009

2006-2007 Regular Season Play-By-Play Data Now Available

Tweet I’ve had to focus on other things over the past couple of weeks, so I figured now was as good a time as any to start putting together data sets for past seasons. ’06-’07 Data Set Stats This regular season data set has 1149 games, which is 81 short of the full season (or [...]

Mar 19 2009

My 2009 NCAA Tournament Odds

Tweet Brackets are now closed, and the first NCAA tournament game of the 2009 tournament is about to begin. Therefore, it’s time I post my odds of winning the tournament. The Method I used Kenneth Massey’s least squares method to rate and rank each DI team’s net points per possession per game. In other words, [...]

Mar 18 2009

NCAA Teams Do Better When Down at Halftime?

Tweet I’ll be the first to admit that I’ve got a long way to go with my education on building and interpreting statistical models, so I find this post by Andrew Gelman very useful. The post is in response to this article by Jonah Berger and Devin Pope (see discussion here). Here is a quote [...]

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 [...]

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