Milwaukee Bucks Win Chart through Game 12

Below is the updated Milwaukee Bucks Win Chart through last night’s disappointing loss to the Philadelphia 76ers.  Once again the team played very good defense and putrid offense.  Drew Gooden had an excellent game, and he is generally trending upward.  Luc Moute had a terrible game, and he is trending downward.  Bogut, Jennings, and Maggette all had okay games — Bogut and Jennings doing their work on defense, Maggette doing his on offense.  John Salmons looked like he had things squared away, but now he has put together two subpar games in a row and his numbers are heading back in the wrong direction.  I thought perhaps Ersan Ilyasova would have a break out season in 2010-11, but so far his numbers are stuck right where they were last season.  Maybe that’s all he’s going to be.  We’ll see.


Milwaukee Bucks
Win Score
Win Contribution
Player Winning
Andrew Bogut 5.0 +2.97 1.6__0.0 +0.384 1.006%
Carlos Delfino 2.4 +1.30 0.8__0.2 +0.111 .723%
Brandon Jennings 1.1 -0.17 0.8__0.9 -0.024 .473%
Drew Gooden 4.4 +0.41 0.7__0.5 +0.041 .573%
Luc Moute 3.7 -0.04 0.6__0.6 -0.004 .495%
John Salmons 2.3 -0.94 0.5__1.1 -0.127 .342%
Ersan Ilyasova 4.2 -0.12 0.4__0.4 -0.008 .482%
Earl Boykins 1.0 +0.21 0.2__0.2 +0.008 .539%
Keyon Dooling 1.8 -1.34 0.2__0.5 -0.082 .274%
Corey Maggette 3.2 -1.66 0.2__0.8 -0.144 .220%
Jon Brockman 4.9 -2.52 0.1__0.3 -0.087 .079%
Larry Sanders 4.7 -4.50 0.0__0.2 -0.074 -.261%

MWS Record: 6.1__5.9


2 Responses to “Milwaukee Bucks Win Chart through Game 12”

  1. Max Says:

    Would it be possible to have some sort of individual equivalent to PVOA (WSOA?) because I’m wondering how much of this individual level stuff is actually players playing better or worse, and how much of it is just mapping data onto the idiosyncrasies of the schedule. I’d love to know if Brandon Jennings has played better these last few games/Salmons has played worse, or if LA/Philly/Atlanta have better shooting guard/small forwards and defense against that position than the previous opponents. Like, if you (or someone else) has up to date WS/48 numbers, and WS/48 allowed, you’d be able to calculate how good the numbers in any given game (per minute) were for the Bucks player and who they were guarding. Though defense could be difficult, simply because data is less available, but you might be able to get a rough estimate just by going by position for the opponents scores.

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