I'm not interested in sports analysis per se, but I am interested in interesting data analysis in general and have a soft spot for excellent visualizations.
I generally appreciate sports analytics, but in the sport I watch the most (NBA) they have a long way to go.<p>While I admit this is a personal failure, I too often find the articles (especially by guys like Hollinger) obnoxious. They love to tout simple stat concepts (regression to the mean! sample size!) as keen statistical insight. Another example is the PER metric: it is a simple weighted average of multiple stat categories but the author regards it as the authority by which all players should be measured.<p>Additionally, nba stat analysts believe stats tell the entire story. The nba right now, more than any other sport, in my opinion, is the sport which can least be described by statistics. Reading one of their articles, however, would leave you wondering why they even bother playing the games.<p>Edit: clarity.
For those interested in sports analytics, specifically NFL, but really any sport feel free to email me. Contact info in my user profile.<p>I'm working on an interesting project in this space and would love to talk to more data-oriented sports fans.<p>gmail me at burntreedown@...
Not being USian, I have no idea who Adrian Peterson is, no idea what a running back is and no idea why they might fumble or what that might mean.<p>So no, at least not analytics for sports that don't really exist outside the US. Data on Cycling or Motorsport would interest me.
I too, like lhuang, am working on a project using sports analytics. It has to do with amateur sports versus his NFL sports.<p>Regarding the math aspect - I think prediction of performance or how certain teams/coaches affect different types of athletes is very interesting.
I am interested in adding college and professional hockey stats to my site <a href="http://hockeybias.com" rel="nofollow">http://hockeybias.com</a>. Please contact me if you are in a position to help me. Guy at hockeybias dot com