Hoop Numbers has updated their site with new "regularized" adjusted +/- (APM) numbers. What's interesting about their stats is that they show both adjusted +/- ratings for both the offensive end and defensive end, and they have ratings using 1 year's worth of data as well as ratings using 4 years' worth of data. You can find the updated stats here: http://hoopnumbers.com/allAnalysisView?analysis=RAPM Offensive Adjusted +/- is defined as the number of points a player is expected to add to his team's score (per 100 possessions), relative to a "league average player," by being on the floor. Defensive Adjusted +/- is defined as the number of points a player is expected to add to the opponent's score (per 100 possessions), relative to a "league average player," by being on the floor. So, the higher the Offensive APM the better, and the lower the Defensive APM the better. I'll give the usual disclaimer: these are interesting to look at, but are not by any means the end-all, be-all player rating. For most players, the ratings makes some sense and serve as validation of our subjective opinions and without relying on the boxscore stats. For some players, especially when only looking at data over 1 year, there are some strange results; but as this is a probabilistic model that is to be expected. <table border='0'><tr><td></td></tr><tr> <td> </td> <td> </td> </tr> </table> The ratings for just this season are not so reliable, so I wouldn't make so much out of Andersen's good defensive rating, or Martin's poor offensive rating. I'd consider these anomalies. By HoopNumber's +/- analysis, Chuck Hayes rates as one of the top defensive player over the last 4 years in the league, and even for this season, in a starting role, he has the best defensive rating on the team. Interestingly, this analysis finds Battier to be a below average defender this season, and only slightly above average over the last 4 years. In fact, it gives more credit to Battier's offense than defense, which is hard for me to rationalize so I won't bother.
The idea is to model each player's impact on team's offense/defense per 100 team possessions when player is on the floor.
I gotcha. I got a little confused by the way you defined it initially. Offensive Adjusted +/- is defined as the number of points a player is expected to add to his team's score (per 100 possessions) Because if its team possessions then Aaron brooks will have the highest rating (highest scorer would be highest rating). But it would make more sense if it is individual possessions. Also by there being negative values, it makes me curious on how they have defined possession.
It is a +/- stat. It's not looking at how many points each player scores individually, but rather what the team does with the player on the floor.
Not to be a bother, but it would be useful to see this in one dimension as offensive +/- minus defensive +/-. Could you please generate this for us durvasa?
just look along the x axis only and then along the y-axis only (ignoring the other axis). Not tough to do at all without a new graph
