Mar 29 2009

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

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 6.6% […]

Mar 19 2009

My 2009 NCAA Tournament Odds

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, I […]

Mar 18 2009

NCAA Teams Do Better When Down at Halftime?

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 from […]

Mar 17 2009

Effective Rebounding Rates

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 to […]

Mar 11 2009

Referee Efficiency Ratings

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 lines […]

 

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