May 19 2009

The Distribution of Play Ending Events in the NBA

Tweet I have come to the realization that I really don’t understand the NBA game all that well. Sure I have a general knowledge of basketball, but as I work toward building a realistic simulation of the NBA, I realize that I don’t understand the dynamics of the game that impact a team’s chances of […]

Apr 8 2009

Player Statistics at Home vs Away

Tweet It has become apparent to me that to we must study the relationship between game situations and the player statistics collected under these game situations before we can fully understand the stats we collect about players. Players enter the game under varying conditions, thus the distribution of game situations is not uniform across all […]

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 […]

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