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At the JSM conference last week, I stopped by a great poster by Steve Salaga and Brian Mills, graduate students at University of Michigan's Department of Sport Management. The guys were clearly hockey fans, and had channelled their enthusiasm for a sport into an interesting statistical analysis of game and player data from the NHL. One analysis, based on a random forest model implemented in the R statistical language, looked at the characteristics of players selected for the NHL Hall of Fame:
We are attempting to gauge how well each player aligns with the views of the Hall of Fame Voting Committee and whether or not they were 'snubbed' based on how the committee would be predicted to vote.
Steve and Brian will be publishing their analysis in a paper soon, but in the meantime you can see more details in their poster (PDF. 3.1Mb) or at their blog post below.
The Prince of Slides: More on JSM
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