Here's the Western Conference, halfway through this season.
http://www.wagesofwins.com/WesternMid0708.html
Here's the Top Players in Win's Produced:
12.8 Marcus Camby
11.4 Chris Paul
9.6 Shawn Marion
9.4 Tyson Chandler
9.1 Steve Nash
8.4 Tim Duncan
8.4 Andrew Bynum
8.2 Cris Kaman
8.1 Carlos Boozer
7.9 Baron Davis
7.6 Kobe Bryant
7.4 Al Jefferson
7.2 Yao Ming
7.1 Amare Stoudamire
7.1 Andris Biedrins
6.9 Manu Ginobili
6.9 Mike Miller
6.7 Deron Williams
6.4 Dirk Nowitzki
5.8 Josh Howard
5.6 Brandon Roy
5.5 Andrei Kirilenko
5.0 Brad Miller
5.0 Kurt Thomas
4.5 Allen Iverson
4.4 Pau Gasol
Our other two net-positive players are
3.1 Ryan Gomes
1.7 Marko Jaric
Wages of Wins
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- revprodeji
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I would like to know how they determine that stat.
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Here's an overview:
The model starts with the basic idea that wins in the NBA are determined by offensive and defensive efficiency (points divided by possessions). From this relationship, one can estimate the value of points, rebounds, steals, turnovers, personal fouls, field goal attempts, and free throw attempts. Additional statistical work gives us the value of a blocked shot and an assist.
Additional notes
1. The value of each statistic is derived from an econometric (or statistical) model. And the values are an estimate of the impact the statistic has on the outcomes we observe for the team.
2. The analysis indicates that points, rebounds, steals, turnovers, and field goal attempts have virtually the same impact (in absolute terms) on wins. Personal fouls, free throw attempts, blocked shots, and assists are worth somewhat less than the other factors.
3. When we look at the impact of these statistics we learn two lessons:
a. In terms of scoring
The model starts with the basic idea that wins in the NBA are determined by offensive and defensive efficiency (points divided by possessions). From this relationship, one can estimate the value of points, rebounds, steals, turnovers, personal fouls, field goal attempts, and free throw attempts. Additional statistical work gives us the value of a blocked shot and an assist.
Additional notes
1. The value of each statistic is derived from an econometric (or statistical) model. And the values are an estimate of the impact the statistic has on the outcomes we observe for the team.
2. The analysis indicates that points, rebounds, steals, turnovers, and field goal attempts have virtually the same impact (in absolute terms) on wins. Personal fouls, free throw attempts, blocked shots, and assists are worth somewhat less than the other factors.
3. When we look at the impact of these statistics we learn two lessons:
a. In terms of scoring
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revprodeji wrote:english?
Basically, it figures out how important various statistics (points, reboungs, fg%, etc) are in determining the outcome of the game and weights them along those lines. Then you can determine how
many wins each player would produce based on their stats.
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Rocky5000 wrote:Wow, Al must be tops for wins produced as a percentage of team wins. Al has accounted for ~74% of the games won for the Wolves.
Most of the time, when Al has a big game, the Wolves have won; the exception would be the first win against Sacramento where Rashad had his first career game, the Miami game where Shaddy had his new career high of 34 + a career high in assists, the Golden State game where Gomes had 35/11 I think, and the Hornets game where Marko Jaric and Sebastian Telfair had tremendous games to seal the win.
The rest of the wins were from Al having HUGE nights:
PHX: 32/20/2/4steals
IND: 29/13/3steals/2blocks
GSW: Gomes career game, but Al had 21/12
PHX: 39/15/2steals
NJN: 40/19/2blocks/2steals
CHI: 26/20/2blocks
LAC: 25/11
7 huge games out of 10 wins. I can see where that percent comes from.
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