I've rolled out the Blend Score ratings for the top 30 NBA players in the 2011-2012 season. To qualify for the list, a player needs to have averaged at least 20 minutes per game, and played 1,000 total minutes.
Remember, if you need a refresher on what the "Blend Score" entails, simply click on said tab to your left.
I logged these numbers for every NBA player, totaled them for each team, and regressed them on each teams actual winning percentage for the 2012 season. There was a 90% correlation (R squared) between Blend Player Ratings, and winning games during the 2012 campaign. This is a bit low, but 2012 WAS a lockout year, AND I'm now using new Wins Produced numbers instead of old Win Score values.
This was primarily due to convenience, as I couldn't get the appropriate data for large scale position adjusted win score calculations. I feel okay doing so however, as there is reportedly a 97% correlation between old and new Wins Produced numbers, via Wages of Wins.
I'm going to do the numbers for a few more seasons, and see what the correlation looks like over long periods of time. I might also roll out the predictive Blend Player Ratings (as opposed to the explanatory one I'm doing now), test its predictive ability, and mesh it with the current system, to give a "wholesome" player rating.
Remember, if you need a refresher on what the "Blend Score" entails, simply click on said tab to your left.
I logged these numbers for every NBA player, totaled them for each team, and regressed them on each teams actual winning percentage for the 2012 season. There was a 90% correlation (R squared) between Blend Player Ratings, and winning games during the 2012 campaign. This is a bit low, but 2012 WAS a lockout year, AND I'm now using new Wins Produced numbers instead of old Win Score values.
This was primarily due to convenience, as I couldn't get the appropriate data for large scale position adjusted win score calculations. I feel okay doing so however, as there is reportedly a 97% correlation between old and new Wins Produced numbers, via Wages of Wins.
I'm going to do the numbers for a few more seasons, and see what the correlation looks like over long periods of time. I might also roll out the predictive Blend Player Ratings (as opposed to the explanatory one I'm doing now), test its predictive ability, and mesh it with the current system, to give a "wholesome" player rating.