http://82games.com/nichols1.htm
What do you guys make of this?
DEFENSIVE COMPOSITE SCOREBy Jon Nichols
Although an individual player’s defensive talents remain one of the hardest things to quantify in basketball, there are already some pretty good statistics in this area. Here at 82games.com there is defensive plus-minus. Other people such as Dean Oliver have developed their own defensive statistics that do a pretty good job of explaining things. However, as the creators and record keepers of any of these stats will tell you, you can’t look at any of these individually and expect to know everything.
What I’ve decided to do is combine some of these stats (with a little input and manipulation of my own) and try to increase their universal appropriateness. Like the others, mine is not perfect and must be taken in context with other information to gain any insightful knowledge. .
I have developed a stat I call Defensive Composite Score, or DCS (if you’re a college football fan who hates the BCS, try to ignore the name similarities). It is three different statistics combined into one.
* The first system is made up of the raw box score stats you find in the newspaper every day.
* The second is the defensive on/off plus-minus statistics you can find here at 82games.com.
* The third and final system is Dean Oliver's Defensive rating. It is an estimate of how many points per 100 possessions a player allows. To calculate it requires a complicated formula, one that can be explained in detail in his book Basketball on Paper.
Each of the three parts is weighted equally.
Why did I choose to base DCS on these? Box score stats do a good job of measuring athleticism and activity on defense, and I like to think of them as a way of measuring not only what a player has already accomplished but how good they can potentially be in the future. Plus-minus does a great job of measuring a player’s defensive impact on the court, especially within a player’s role on the team. Defensive ratings reward good defenders on good teams.
The statistic I developed is based on the power of relativity (I’m no Einstein, and this theory is nothing like his). I rank every player in the league based on how they did in these different methods, and combine their rankings to come up with a final ranking. I then convert these rankings into a score based on a scale of 0 to 100 to make things easier to understand.
Player Team Pos Box Def. +/- Drtg Drtg DCS Rating
Rank +/- Rank Rank
balkman,renaldo nyk SF 10 -9.2 2 102 36 99
lee,david nyk PF 171 -2.6 74 105 93 74
collins,mardy nyk SG 173 -2.5 76 109 214 55
francis,steve nyk PG 177 -0.8 124 109 214 46
jeffries,jared nyk SF 80 +3.0 268 108 170 45
frye,channing nyk PF 247 -1.1 114 108 170 41
robinson,nate nyk PG 206 -2.4 79 110 254 40
rose,malik nyk PF 233 +1.3 202 107 140 34
richardson,quent nyk SG 308 +1.8 225 108 170 16
crawford,jamal nyk SG 235 +3.3 277 112 300 5
curry,eddy nyk C 304 +5.3 306 110 254 2
marbury,stephon nyk PG 269 +5.4 308 112 300 1