Self-proclaimed basketball geek Ryan has collected player statistics from the 2006/2007 2007/2008 and 2008/2009 NBA seasons, broken down by home and away games. He has data like the free-throw percentage for each player at home and away games, 3-point shots landed, offensive and defensive rebound percentages and so on. (I confess I'm hazy on the meaning of a couple of the acronyms.) He uses R to explore the relationship between the home and away games, to see if there's any home advantage for any of these stats. A good first start is the scatterplots of the home vs away data. For example, here's the chart for free throw percentage (each dot is a player):
Follow the link for charts of the other stats, and links to the source data and the R code. It's an interesting data set, and would lend itself well to other visualizations and analyses, should any basketball fan and R user be so inclined.
It's great to see more sports analysis being done with R, so much that we now have enough articles for a dedicated sports section!
That is amazing, very interesting!
Posted by: Basketball Stand | November 25, 2009 at 01:55
Awesome stats, just used them for an assignment thanks.
Posted by: Basketball Fan | February 08, 2010 at 04:49