A more elaborate Milwaukee Bucks Win Chart

EDITOR’S NOTE: The last Win Chart I did for the Bucks (featured in a January 7th post) contained two miscalculations, one for Andrew Bogut and one for Larry Sanders.  Bogut’s MWS was too low, and Sanders MWS was too high, leading to too few wins for Bogut and too many for Sanders.  Sorry.  I do them very quickly… but I double checked the one contained in this post.

If you want to see exactly where the Milwaukee Bucks wins and losses are coming from, I created a much more elaborate Win Chart that breaks each player down according to his and his Opponents “Scoring Efficiency” per 48 (Pts-FGAs-.5FTAs); his and his Opponents’ “Possession Creation” per 48 (Rebs + Stls – TOs); his and his Opponents “Net Helpfuls” per 48 (.5Ass + .5Blks – .5PFs) and the resulting “Marginal Win Score” per 48 (which is one-half the sum of the marginal totals in the three preceding categories), and the resulting “Player Winning Percentage” from that MWS48, and then finally the resulting “Wins and Losses” I attribute to each player based on all of the above incorporated into the player’s share of team minutes.

Here is the chart:

  Srng Eff Poss Creat Helpfuls MWS W% W__L
Bogut -1.03 14.27 0.97      
  -0.25 11.22 -1.35      
  -0.78 3.05 2.32 2.29 0.891 4.1__0.5
Boykins 0.38 1.52 5.21      
  1.81 2.14 1.25      
  -1.43 -0.62 3.96 0.95 0.664 1.2__0.6
Dooling -1.04 2.09 2.09      
  0.05 3.26 1.49      
  -1.09 -1.17 0.61 -0.82 0.363 1.2__2.2
Ilyasova -0.53 11.15 -1.05      
  0.01 9.18 -0.54      
  -0.54 1.97 -0.51 0.46 0.581 2.2__1.7
Brockman 1.38 11.96 -3.68      
  -0.21 7.41 -0.89      
  1.59 4.55 -2.79 1.67 0.786 1.0__0.3
CDR 0.95 5.04 -0.29      
  -2.89 7.79 0.16      
  3.84 -2.75 -0.45 0.32 0.556 1.3__1.0
Jennings -0.43 3.73 2.49      
  2.65 2.24 2.95      
  -3.08 1.49 -0.46 -1.02 0.329 1.2__2.5
Moute -0.46 8.48 -0.74      
  -0.69 6.86 -0.18      
  0.23 1.62 -0.56 0.64 0.611 2.4__1.5
Sanders -2.57 10.53 -0.19      
  1.13 9.58 -0.38      
  -3.71 0.95 0.19 -1.28 0.285 0.4__1.2
Salmons -0.51 3.46 0.77      
  2.18 4.97 0.51      
  -2.69 -1.51 0.26 -1.97 0.168 0.9__4.5
Maggette 1.84 4.26 -2.05      
  2.65 6.13 -0.49      
  -0.81 -1.87 -1.56 -2.12 0.143 0.4__2.3
Gooden -0.39 12.32 -1.69      
  3.59 10.07 -0.54      
  -3.98 2.25 -1.15 -1.44 0.258 0.6__1.7
Delfino 1.15 5.19 0.96      
  0.79 4.44 -1.23      
  0.36 0.75 2.19 1.65 0.782 0.8__0.2
17.3__20.7
OlivPyth 16.7__21.3

The chart reveals that 9 of the Bucks have a marginal Scoring Efficiency deficit.   Most of the deficits are the result of poor scoring efficiency on the player’s part — only Maggette’s really stands out as being the result of poor defense (and Gooden’s — see below).  Chris Douglas Roberts is the only Bucks regular who really does well in the scoring area.  Too bad he’s not better in the possessionary part of the game.  

You can see how badly Brandon Jennings and John Salmons have done in the scoring area.  Neither of them make up for it in any other area, with Salmons struggling everywhere.  The rookie Larry Sanders is truly bad in the scoring department, but mostly because he cannot convert into the ocean from the boardwalk.

Luc Moute makes up for his poor offense with really fine defense.  That’s very acceptable, but hard to pull off.

Bogut is really struggling with scoring efficiency, especially because of the free throw woes.  He is worse than Shaq at the line.

Oh, I almost forgot about Drew Gooden, who’s defense makes Maggette look like Gary Payton by comparison.

You can also see how much better Earl Boykins is at the “point guard” duties than Jennings.  Boykins is putting up most of his wins through the assist category.

Carlos Delfino was the only Bucks player who put up positive margins in every category, but his career appears over.  I really liked his game, though.

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