The Top 6th Man after 41 games

Last week I posted the WP48 and Wins Produced numbers for each player on each team in the NBA.   From these numbers we could see that the current MPP (Most Productive Player) is LeBron James (13.8 Wins Produced).  And the current MPP for Rookies would be DeJuan Blair and Tyreke Evans (4.2 Wins Produced).   Today I want to briefly discuss the top players off the bench (Most Productive 6th Man).

Of the 423 players who have played in the NBA this season, 255 have not started at least half their team’s respective games.  This sample of 255 was ranked in terms of Wins Produced (after 41 games), and the top 10 are as follows:

  • Manu Ginobili: 5.2 Wins Produced, 0.266 WP48
  • Anderson Varejao: 4.3 Wins Produced, 0.175 WP48
  • Kyle Lowry: 4.2 Wins Produced, 0.200 WP48
  • DeJuan Blair: 4.2 Wins Produced, 0.273 WP48
  • Andrei Kirilenko: 4.0 Wins Produced ,0.193 WP48
  • Chris Andersen: 4.0 Wins Produced, 0.221 WP48
  • Matt Barnes: 4.0 Wins Produced, 0.191 WP48
  • Carl Landry: 3.6 Wins Produced, 0.161 WP48
  • Omri Casspi: 3.3 Wins Produced, 0.145 WP48
  • Luke Ridnour: 3.3 Wins Produced, 0.167 WP48

A number of sports writers gave out mid-season awards, but I am going to pick on Ian Thomsen (primarily because I could easily find his column today).  Thomsen of Sports Illustrated.com argued that the top three sixth men are Jamal Crawford, Carl Landry, and Jason Terry.   As one can see, Landry does make the list of top 10 players.  But Crawford (2.3 Wins Produced) is only the 19th most productive player off the bench.  And Jason Terry (1.0 Wins Produced) is only ranked 57th.  

Not surprisingly, when we turn to points per game we see the following rankings:

  • Al Harrington: 18.2 points per game
  • Jamal Crawford: 17.1 points per game
  • Jason Terry: 16.3 points per game
  • Carl Landry: 16.2 points per game

So what’s wrong with Harrington? Of these four, he is the only one playing for a losing team.  Yes, post-season awards tend to be about scoring and playing for a winner.  Consequently, I expect the eventual winner might come from Thomsen’s list.  But I don’t think any of the players Thomsen identifies will produce more wins than Ginobili.

In my next post I will discuss the Most Improved Player. Thomsen argues for the following three names: Kevin Durant, Josh Smith, and Marc Gasol.  Each of these players has actually improved.  And two of these names would rank among the ten most improved players.  But after 41 games, someone else has actually improved the most.  And as I noted, in my next post I will identify that player (I would do it now, but I have some other work I need to finish).

- DJ

The WoW Journal Comments Policy

Our research on the NBA was summarized HERE.

The Technical Notes at wagesofwins.com provides substantially more information on the published research behind Wins Produced and Win Score

Wins Produced, Win Score, and PAWSmin are also discussed in the following posts:

Simple Models of Player Performance

Wins Produced vs. Win Score

What Wins Produced Says and What It Does Not Say

Introducing PAWSmin — and a Defense of Box Score Statistics

Finally, A Guide to Evaluating Models contains useful hints on how to interpret and evaluate statistical models.

Is Derrick Rose Already a Star?

As noted yesterday, Rose currently has an 0.053 WP48 [Wins Produced per 48 minutes].  Such a mark is well below average (average WP48 is 0.100).  Of all the players selected for the sophomores in the Rookie Challenge, Rose was the least productive.  And now he has been promoted to the actual All-Star game. On the surface, this seems like a bizarre choice.  But if we delve a bit deeper, this choice by the NBA coaches can be defended (at least, I am going to offer a defense). 

The WP48 Case for Rose

In the discussion of the Rookie Challenge it was noted that NBA coaches can’t just pick the best players.  These players are going to play a game, so there needs to be players selected who can play each position.  And at point guard in the Eastern Conference, the pickings are quite slim.

Here is a list of the top 10 points guards – ranked by WP48 [minimum 800 minutes played] – in the Eastern Conference.

  • Rajon Rondo: 0.276 WP48 (started all games)
  • Luke Ridnour: 0.167 WP48 (41 non-starts)
  • Jose Calderon: 0.149 WP48 (7 non-starts)
  • Jason Williams: 0.139 WP48 (24 non-starts)
  • Louis Williams: 0.111 WP48 (2 non-starts)
  • Mike Bibby: 0.098 WP48 (started all games)
  • Mo Williams: 0.091 WP48 (started all games)
  • Chris Duhon: 0.071 WP48 (started all games)
  • Mario Chalmers: 0.070 WP48 (19 non-starts)
  • Gilbert Arenas: 0.066 (started all games)

Rondo was selected by the coaches.  But after Rondo, what other point guard should be going to an All-Star game?  One would suspect that an All-Star should at least start for his team (only Tim Duncan and Allen Iverson have not started every game they played this year).  And after Rondo, every other point guard listed above who started all his team’s games is also below average. 

In addition, Rose has gotten better as the season has progressed.  Here are his month-by-month WP48 marks:

November: -0.028

December: 0.022

January: 0.134

So if we focus strictly on January, then one could argue that in the Eastern Conference, Rose is one of the top point guards. 

WP48 numbers for each star

All that being said, we should be clear that among the players in the All-Star, Rose is one of the least productive players (so Rose is not really a “star player” yet).  Here are the WP48 marks for each player who will play in this game (after 41 games this season).

Western Conference All-Stars

  • Chris Paul: 0.372
  • Pau Gasol: 0.359
  • Tim Duncan: 0.357
  • Steve Nash: 0.296
  • Zach Randolph: 0.255
  • Kevin Durant: 0.240
  • Deron Williams: 0.216
  • Brandon Roy: 0.202
  • Kobe Bryant: 0.184
  • Carmelo Anthony: 0.160
  • Dirk Nowitzki: 0.150
  • Amare Stoudemire: 0.144

Eastern Conference

  • LeBron James: 0.420
  • Gerald Wallace: 0.344
  • Dwight Howard: 0.341
  • Rajon Rondo: 0.276
  • Kevin Garnett: 0.266
  • Chris Bosh: 0.264
  • Dwyane Wade: 0.245
  • Al Horford: 0.242
  • Paul Pierce: 0.209
  • Joe Johnson: 0.157
  • Derrick Rose: 0.053
  • Allen Iverson: 0.036

Looking for Snubs

Of course, once we note who is in we need to mention some players whose productivity was ignored by the coaches and the fans.  Here is the productivity of a few players who Henry Abbott of TrueHoop thinks were snubbed:

Western Conference Snubs?

  • Chauncey Billups: 0.214
  • Chris Kaman: 0.027
  • Marc Gasol: 0.199
  • Carlos Boozer: 0.243
  • Nene: 0.198
  • Carl Landry: 0.161
  • Andrew Bynum: 0.161

Eastern Conference Snubs?

  • Josh Smith: 0.272
  • David Lee: 0.247
  • Antawn Jamison: 0.152
  • Andre Iguodala: 0.234
  • Ray Allen: 0.092
  • Andrew Bogut: 0.192
  • Joakim Noah: 0.279
  • Anderson Varejao: 0.175

If we look at the Western Conference stars,  I don’t think Chauncey Billups is a better choice than Deron Williams.  But Jason Kidd [0.314 WP48] could have been considered.  And it looks likeDirk Nowitzki and Amare Stoudemire could be replaced by Marc Gasol and Carlos Boozer [or Marcus Camby or Kevin Love]. 

In the East, one might think Josh Smith and David Lee should be in. But the productivity of Smith and Lee is not much different from what we see from Garnett and Bosh.  So I am not sure Smith and Lee are truly snubs.  On the other hand, I think Andre Iguodala should have been chosen over Joe Johnson (and certainly over Allen Iverson).

One last note… the average WP48 in the West is 0.245.  In the East the average mark is 0.238.  And if we calculate the East average without Iverson, this team’s average mark rises to 0.256.  So the East with Iverson on the bench might be slightly better (just thought I would mention that point).

- DJ

The WoW Journal Comments Policy

Our research on the NBA was summarized HERE.

The Technical Notes at wagesofwins.com provides substantially more information on the published research behind Wins Produced and Win Score

Wins Produced, Win Score, and PAWSmin are also discussed in the following posts:

Simple Models of Player Performance

Wins Produced vs. Win Score

What Wins Produced Says and What It Does Not Say

Introducing PAWSmin — and a Defense of Box Score Statistics

Finally, A Guide to Evaluating Models contains useful hints on how to interpret and evaluate statistical models.

Jonny Flynn Makes His Choices and Ty Lawson Has to Stay Home

The NBA’s assistant coaches have made their choices for the NBA’s Rookie Challenge.  And missing from the roster – as Henry Abbott at TrueHoop noted yesterday — is Ty Lawson.

The argument that Lawson is a very good player has been made by many people (John Hollinger, David Thorpe, etc…).   But apparently these arguments didn’t impress the assistant coaches.

In an attempt to understand what did impress the assistant coaches, let’s  first examine the selections for the sophomore team.  And that examination begins with the following list [PPG=points per game, WP48 = Wins Produced per 48 minutes, numbers after 41 games played]:

  • Derrick Rose: 19.4 PPG, 0.053 WP48
  • Brook Lopez: 19.0 PPG, 0.141 WP48
  • O.J. Mayo: 18.4 PPG, 0.100 WP48
  • Eric Gordon: 17.0 PPG, 0.085 WP48
  • Michael Beasley: 16.1 PPG, 0.061 WP48
  • Russell Westbrook: 16.1 PPG, 0.109 WP48
  • Kevin Love: 15.2 PPG, 0.431 WP48
  • Marc Gasol: 14.8 PPG, 0.199 WP48
  • Danilo Gallinari: 14.8 PPG, 0.117 WP48

The above is a list of the nine leading scorers from the sophomore class.  And all nine were selected by the assistant coaches to the Rookie Challenge roster.  Yes, it appears that scoring was the dominant factor coaches considered in making these selections. 

When we turn to the rookies it’s a similar story, although the coaches faced a significant constraint.  Here are the top six scorers in the rookie class:

  • Tyreke Evans: 20.9 PPG, 0.145 WP48
  • Brandon Jennings: 17.9 PPG, 0.063 WP48
  • Jonny Flynn: 13.9 PPG, -0.051 WP48
  • Stephen Curry: 13.4 PPG, 0.099 WP48
  • Omri Casspi: 12.6 PPG, 0.145 WP48
  • James Harden: 9.8 PPG, 0.136 WP48

Each of these players was selected by the assistant coaches.  The next two players on the scoring list – Ty Lawson [9.4 PPG, 0.173 WP48] and Marcus Thornton [9.3 PPG, 0.022 WP48] — are both guards.  Of the top six scoring rookies, though, five are also guards.  Consequently the assistant coaches ran into a significant problem.  The rookie challenge roster cannot consist of just the nine “best” (however that term is defined) players.  The players selected have to play in an actual game. That means the team needs someone for each position on the court.  And consequently, Lawson and Thornton – if points per game is the deciding factor – had to be skipped over.

Moving further down the scoring list we see the following three names.

  • Tyler Hansbrough: 8.5 PPG, 0.018 WP48
  • Jonas Jerebko: 8.4 PPG, 0.116 WP48
  • Taj Gibson: 8.3 PPG, 0.065 WP48

These three players are quite close in scoring per game.  But Hansbrough missed 12 of the first 41 games and hence the assistant coaches turned to Jerebko and Gibson.

Of the eight players noted so far, none have played significant time at center.  The top scorer at that position only ranks 16th among all rookies in points per game. And that player is DeJuan Blair [7.1 PPG, 0.273 WP48].  One could argue that Blair is really a power forward (although he has played some center this year).  But if you move past Blair, the next center on the list is David Anderson, and he only averages 6.0 points per game (and after Anderson you have Hasheem Thabeet at 2.8 points per game).

A Familiar Story

So it appears that we have a familiar story.  Scoring dominates the evaluation of players in the NBA.  Obviously scoring can increase if a player improves his shooting efficiency.  But scoring also increases with shot attempts, and hence players have an incentive to shoot as much as their coach will allow.

Many examples of this observation have been provided before.  The latest is the case of Jonny Flynn.  Al Jefferson is generally considered the “star” of the Minnesota Timberwolves (if a 9-38 team can have a star).  And Flynn — the team’s point guard – does make sure Jefferson gets his shots.  But after Jefferson, the player with the second most shot attempts is Flynn.  Flynn, though, is well below average with respect to shooting efficiency.  So why does he so often call his own number?  Because he probably knows that the more an NBA player scores, the more accolades an NBA player will receive.

And the assistant coaches choices for the Rookie Challenge are not the only evidence in support of this proposition. You see the same story when you look at free agent salaries, voting for the All-Rookie team (by NBA coaches), where a player is selected in the draft, and the coaches’ allocation of minutes (we discuss all of this in our next book).  

Other Snubs

If we move past scoring to WP48, what other snubs do we observe?  Here are the top five forwards and centers among the  sophomores in WP48 (minimum 15 minute per game, 20 games played):

  • Kevin Love: 0.431 WP48
  • Greg Oden: 0.316 WP48
  • Marc Gasol: 0.199 WP48
  • Ersan Ilyasova: 0.146 WP48
  • Ryan Anderson: 0.146 WP48

And here are the top five sophomore guards:

  • Rudy Fernandez: 0.165 WP48
  • Russell Westbrook: 0.109 WP48
  • Brandon Rush: 0.101 WP48
  • O.J. Mayo: 0.100 WP48
  • Eric Gordon: 0.085 WP48

Greg Oden is hurt, so he can’t play. So it appears the snubs – if WP48 is the measuring stick – are Ilyasova, Anderson (maybe if the coaches wanted five frontcourt players), Fernandez, and Rush.  Despite these omissions, the average WP48 on the sophomore roster is 0.144.  So the sophomore team – as it’s assembled – is pretty good.

Turning to the rookies, here are the top five forwards and centers (same minimums as above):

  • DeJuan Blair: 0.273 WP48
  • Serge Ibaka: 0.145 WP48
  • Omri Casspi: 0.145 WP48
  • Jonas Jerebko: 0.116 WP48
  • Chase Budinger: 0.090 WP48

And the top five rookie guards:

  • Ty Lawson: 0.173 WP48
  • Tyreke Evans: 0.145 WP48
  • James Harden: 0.136 WP48
  • Stephen Curry: 0.099 WP48
  • Brandon Jennings: 0.063 WP48

So the “snubs” for the rookies are Ibaka, Budinger (maybe if the coaches wanted five front court players) and Lawson.  As assembled, the rookies have an average WP48 of 0.110.  Replacing Flynn with Lawson boosts that average to 0.135.  So adding Lawson would have made this game quite competitive.

As it stands, though, the sophomores look to be the better team (once again).  This is not surprising, since second-year players are generally better than rookies.  This year, though, the gap could have been mostly closed with one different choice.  Unfortunately, the choices Flynn has made (he gets to shoot) means Lawson gets to stay home.

- DJ

The WoW Journal Comments Policy

Our research on the NBA was summarized HERE.

The Technical Notes at wagesofwins.com provides substantially more information on the published research behind Wins Produced and Win Score

Wins Produced, Win Score, and PAWSmin are also discussed in the following posts:

Simple Models of Player Performance

Wins Produced vs. Win Score

What Wins Produced Says and What It Does Not Say

Introducing PAWSmin — and a Defense of Box Score Statistics

Finally, A Guide to Evaluating Models contains useful hints on how to interpret and evaluate statistical models.

Every Team and Player at the Midpoint of the 2009-10 Season

After Friday night, every single team finally played its 41st game in the 2009-10 season.  And that means that I am able to evaluate every player on ever team at the season’s midpoint.  As I noted last year, many stories could be told with this data.  But it’s probably best to hold off on the stories and get right to the data.  So without further introduction, here is the Wins Produced and WP48 [Wins Produced per 48 minutes] of every player at the midpoint of the 2009-10 campaign.

Table One: All Teams and Players at the Midpoint of the 2009-10 Season

Again, I am sure anyone looking at this data could tell a few stories.  Here are some stories that come to mind when I look at this data.

  • Clearly this is NOT the year of the Super Teams.  Here is what I said last OctoberIt does seem quite possible that at least one of the four best teams in the West will win at least 62 games.  And so it’s possible at least four teams (Cleveland, Orlando, Boston, and at least one Western team) will win more than 75% of their games; making the 2009-10 the year of the Super Teams.  At this point, not a single NBA team is on pace to win 62 games.  Part of this is due to injury.  Part of this is due to declines in player productivity. And so far, all of this says I was apparently wrong last October.
  • Although the final record forecast was flawed, many of the teams people thought would be lead the league are indeed leading the way.  The top teams in the NBA – in terms of Wins Produced and efficiency differential – are the LA Lakers, Cleveland Cavaliers, Boston Celtics, Atlanta Hawks, and San Antonio Spurs.  Each of these teams has posted a Wins Produced mark in excess of 27.5, which means at the midpoint of the season each team is half way to 55 wins.  The list of teams that is half way to 50 wins includes Denver, Orlando, Portland, and Utah. 
  • Shifting our focus to the players… the Most Productive Player in the league at the midpoint is LeBron James.  King James has already produced 13.8 wins this season, and he is on pace to finish with 27.7.  This means that LeBron has already produced more wins – and is on pace to finish with more Wins Produced – than the Indiana Pacers, Minnesota Timberwolves, and New Jersey Nets.
  • LeBron is obviously the most productive small forward.  Here are the most productive players at each of the other four positions: PG: Chris Paul (9.8 Wins Produced), SG: Andre Iguodala (8.0 Wins Produced), PF: Marcus Camby (11.8 Wins Produced), C: Dwight Howard (10.0 Wins Produced).
  • The top rookie thus far is DeJuan Blair, who has produced 4.17 Wins Produced. Tyreke Evans, though, has produced 4.16 Wins Produced.  Obviously Blair is more productive on a per-minute basis. 
  • Turning our focus to the least productive players in the game we see that Ryan Hollins (-1.9 Wins Produced) is leading the way.  He is followed by Darius Songaila (-1.5 Wins Produced).  The least productive rookies include Earl Clark (-1.4 Wins Produced in only 249 minutes) and Jonny Flynn (-1.3 Wins Produced).

Those are just a few of the stories that I noticed when looking at this data.  As the complete rosters for the All-Star game and Rookie Challenge are announced, I will again return to this data.

Let me close on a completely different and far more important topic.  The recent earthquake in Haiti has left more than 100,000 people dead.  A donation to the Red Cross — or other worthwhile charity – would certainly help out those who survived.  So please give if you are able.  

- DJ

The WoW Journal Comments Policy

Our research on the NBA was summarized HERE.

The Technical Notes at wagesofwins.com provides substantially more information on the published research behind Wins Produced and Win Score

Wins Produced, Win Score, and PAWSmin are also discussed in the following posts:

Simple Models of Player Performance

Wins Produced vs. Win Score

What Wins Produced Says and What It Does Not Say

Introducing PAWSmin — and a Defense of Box Score Statistics

Finally, A Guide to Evaluating Models contains useful hints on how to interpret and evaluate statistical models.

Disagreeing with Doug Moe

Doug Moe is synonymous with the Denver Nuggets.   No one had a longer tenure as coach of this team. And no coach led this franchise to more victories.  So one suspects Moe knows the Nuggets.

Recently the “Big Stiff” (as Moe is known) was asked who is the greatest player in the history in the Nuggets.  And here is Moe’s answer (HT: Phil Maymin):

“I’d have to say Melo,” Moe said. “His talent is going to win more games than anybody else. With him, I think the Nuggets are going to have more 50-win seasons than with any other player. And that’s not a knock against any of those players.”

Carmelo Anthony is currently leading the NBA in scoring.  But when I look past scoring, I find myself disagreeing with Moe.  According to Table One, Melo entered the current season ranked 12th on the Nuggets’ all-time Wins Produced rankings.

Rank Name Seasons Games Minutes  Wins Wins/Season WP48

1

Fat Lever

6

474

16,867

114.2

19.0

0.325

2

Dikembe Mutombo

5

391

14,411

83.7

16.7

0.279

3

Marcus Camby

6

372

11,776

78.8

13.1

0.321

4

T.R. Dunn

10

734

18,322

75.3

7.5

0.197

5

Alex English

11

837

29,893

60.6

5.5

0.097

6

Dan Issel

8

639

19,835

54.3

6.8

0.131

7

Andre Miller

4

269

9,451

36.1

9.0

0.183

8

David Thompson

5

333

10,800

35.4

7.1

0.157

9

Michael Adams

4

304

10,601

27.8

6.9

0.126

10

Danny Schayes

8

536

11,096

27.7

3.5

0.120

11

Antonio McDyess

6

361

12,271

26.4

4.4

0.103

12

Carmelo Anthony

6

445

16,107

26.3

4.4

0.078

13

Bryant Stith

8

458

13,248

25.3

3.2

0.092

14

Reggie Williams

6

419

12,556

25.2

4.2

0.096

15

Nene Hilario

7

370

10,575

24.1

3.4

0.110

16

Wayne Cooper

5

351

8,433

22.1

4.4

0.126

17

LaPhonso Ellis

6

343

11,352

21.7

3.6

0.092

18

Glen Gondrezick

4

288

4,926

21.2

5.3

0.207

19

Calvin Natt

5

189

5,385

20.4

4.1

0.181

20

James Posey

4

261

7,417

18.4

4.6

0.119

21

Raef LaFrentz

4

222

6,947

17.3

4.3

0.119

22

Kiki Vandeweghe

4

293

9,794

17.0

4.2

0.083

23

George McGinnis

2

121

3,976

16.6

8.3

0.200

24

Bobby Jones

2

100

2,662

14.8

7.4

0.266

25

Nick Van Exel

4

245

9,179

14.7

3.7

0.077

26

Ervin Johnson

1

82

2,599

14.6

14.6

0.269

27

Chris Andersen

4

225

3,658

14.3

3.6

0.188

28

J.R. Smith

3

218

5,139

12.9

4.3

0.120

29

Allen Iverson

3

135

5,671

12.7

4.2

0.107

30

Kenyon Martin

5

265

8,152

12.2

2.4

0.072

31

Jerome Lane

4

192

3,030

11.7

2.9

0.185

32

Chauncey Billups

3

135

4,512

11.2

3.7

0.120

33

Greg Buckner

2

143

3,277

11.0

5.5

0.160

34

Mark Jackson

1

52

2,001

10.1

10.1

0.243

35

Elston Turner

3

232

4,561

9.5

3.2

0.100

36

Ryan Bowen

5

298

4,359

9.5

1.9

0.105

37

Blair Rasmussen

6

429

9,158

9.2

1.5

0.048

38

Anthony Carter

3

150

3,783

9.1

3.0

0.115

39

Reggie Evans

2

92

1,733

8.7

4.4

0.241

40

Danny Fortson

2

130

3,228

8.3

4.1

0.123

41

Greg Anderson

2

123

3,452

8.3

4.1

0.115

42

Jalen Rose

2

161

3,932

8.2

4.1

0.100

43

Robert Pack

4

259

5,365

7.4

1.8

0.066

44

Earl Boykins

4

255

6,433

7.3

1.8

0.054

45

Donnell Harvey

2

106

2,292

7.1

3.6

0.149

46

Bison Dele

2

143

2,768

6.9

3.4

0.119

47

George Johnson

1

75

1,938

6.8

6.8

0.168

48

Tom Boswell

2

97

2,723

6.7

3.4

0.119

49

Eduardo Najera

4

243

5,348

6.6

1.6

0.059

50

Billy McKinney

3

198

4,656

5.7

1.9

0.059

51

Kim Hughes

3

159

2,453

5.6

1.9

0.109

52

George McCloud

3

223

5,955

4.9

1.6

0.040

53

Renaldo Balkman

1

53

780

4.9

4.9

0.299

54

Keon Clark

3

144

3,011

4.8

1.6

0.076

55

Bill Hanzlik

8

593

12,301

4.8

0.6

0.019

56

Darrell Walker

1

81

2,020

4.7

4.7

0.111

57

Juwan Howard

3

108

3,728

4.5

1.5

0.058

58

Jon Barry

1

57

1,101

4.0

4.0

0.174

59

Dean Garrett

1

82

2,632

3.8

3.8

0.070

60

Jim Price

1

49

1,090

3.4

3.4

0.148

61

John Roche

3

147

3,398

3.3

1.1

0.047

62

Bobby Jackson

1

68

2,042

3.2

3.2

0.074

63

Cory Alexander

3

88

1,904

3.1

1.0

0.078

64

Robert Smith

2

127

1,857

2.9

1.4

0.074

65

Avery Johnson

2

72

1,417

2.8

1.4

0.096

66

Linas Kleiza

4

301

5,724

2.7

0.7

0.023

67

Anthony Roberts

4

187

3,517

2.7

0.7

0.037

68

Steve Blake

1

49

1,643

2.7

2.7

0.078

69

Anthony Goldwire

3

129

3,025

2.7

0.9

0.042

70

Winston Garland

1

78

2,209

2.6

2.6

0.056

71

Dale Ellis

3

244

7,562

2.5

0.8

0.016

72

Bryon Russell

2

71

1,029

2.5

1.2

0.116

73

Marcus Liberty

4

232

4,294

2.5

0.6

0.028

74

Anthony Cook

2

80

1,236

2.3

1.1

0.089

75

Richard Anderson

1

78

1,380

2.2

2.2

0.075

76

Todd Lichti

4

224

4,114

2.1

0.5

0.024

77

Francisco Elson

3

201

3,392

2.0

0.7

0.029

78

Voshon Lenard

5

239

6,521

1.9

0.4

0.014

79

Pete Williams

2

58

583

1.9

0.9

0.156

80

Wesley Person

1

25

461

1.9

1.9

0.194

81

Calbert Cheaney

2

77

1,784

1.7

0.9

0.046

82

Dahntay Jones

1

79

1,426

1.7

1.7

0.057

83

Dave Greenwood

1

29

491

1.6

1.6

0.159

84

DerMarr Johnson

3

168

2,575

1.6

0.5

0.030

85

Earl Watson

1

46

980

1.5

1.5

0.076

86

Kenny Higgs

2

148

3,385

1.5

0.8

0.022

87

Orlando Woolridge

1

53

1,823

1.4

1.4

0.036

88

Mack Calvin

1

77

988

1.3

1.3

0.064

89

Darnell Hillman

1

33

746

1.3

1.3

0.085

90

Kenny Battle

1

40

682

1.3

1.3

0.092

91

Rodney White

3

186

3,079

1.1

0.4

0.018

92

Vincent Yarbrough

1

59

1,381

1.1

1.1

0.039

93

Tom Hammonds

5

331

5,207

1.1

0.2

0.010

94

Joe Kopicki

1

42

308

1.0

1.0

0.163

95

Shawnelle Scott

1

21

252

1.0

1.0

0.190

96

Zendon Hamilton

1

54

848

1.0

1.0

0.056

97

Shammond Williams

1

27

712

1.0

1.0

0.066

98

Chris Gatling

1

40

770

1.0

1.0

0.060

99

Brooks Thompson

1

65

1,047

1.0

1.0

0.044

100

Rodney Rogers

2

159

3,548

0.9

0.5

0.012

101

Brian Taylor

1

39

1,222

0.8

0.8

0.033

102

Harold Ellis

1

27

344

0.8

0.8

0.109

103

Ruben Patterson

1

26

736

0.6

0.6

0.041

104

Popeye Jones

1

40

330

0.6

0.6

0.089

105

Jamal Sampson

1

22

124

0.6

0.6

0.228

106

Terry Mills

1

17

279

0.6

0.6

0.099

107

Kevin Willis

1

43

1,059

0.6

0.6

0.026

108

Bo Ellis

3

168

1,984

0.5

0.2

0.013

109

Eric Murdock

1

12

114

0.5

0.5

0.190

110

Carlos Arroyo

1

20

275

0.4

0.4

0.074

111

Isaiah Rider

1

10

173

0.4

0.4

0.114

112

Corey Gaines

1

10

226

0.4

0.4

0.085

113

Tim Hardaway

1

14

325

0.4

0.4

0.054

114

Cedrick Hordges

2

145

2,971

0.4

0.2

0.006

115

Rob Williams

2

153

3,367

0.3

0.2

0.005

116

Gary Garland

1

78

1,106

0.3

0.3

0.014

117

Scott Williams

1

41

737

0.2

0.2

0.016

118

Joe Barry Carroll

1

30

719

0.2

0.2

0.012

119

Jacky Dorsey

1

7

37

0.2

0.2

0.225

120

Darwin Cook

1

30

386

0.1

0.1

0.018

121

Tim Kempton

1

71

1,061

0.1

0.1

0.006

122

George Zidek

2

22

130

0.1

0.1

0.051

123

Michael Brooks

1

16

133

0.1

0.1

0.048

124

Adam Harrington

1

6

74

0.1

0.1

0.080

125

Steve Scheffler

1

7

46

0.1

0.1

0.098

126

Matt Fish

1

16

117

0.1

0.1

0.037

127

Tyson Wheeler

1

1

3

0.1

0.1

1.359

128

Junior Harrington

1

82

2,003

0.1

0.1

0.002

129

Aaron Williams

1

1

10

0.1

0.1

0.260

130

Luis Flores

1

1

4

0.1

0.1

0.603

131

Kelly McCarty

1

2

4

0.0

0.0

0.593

132

Julius Hodge

2

18

71

0.0

0.0

0.032

133

Roy Rogers

1

40

355

0.0

0.0

0.006

134

Taurean Green

1

9

30

0.0

0.0

0.057

135

Anthony Mason

1

3

21

0.0

0.0

0.050

136

Eldridge Recasner

1

3

13

0.0

0.0

0.076

137

John Crotty

1

12

180

0.0

0.0

0.005

138

Rich Kelley

1

38

565

0.0

0.0

0.001

139

Jimmy King

1

2

22

0.0

0.0

0.018

140

Joe Smith

1

11

148

0.0

0.0

0.001

141

Andre Moore

1

7

34

0.0

0.0

0.000

142

Jeff Trepagnier

2

19

193

0.0

0.0

-0.001

143

Jason Hart

1

11

36

0.0

0.0

-0.027

144

Mike Higgins

1

5

32

0.0

0.0

-0.039

145

Jerome Allen

1

25

251

0.0

0.0

-0.006

146

Norm Cook

1

2

10

0.0

0.0

-0.151

147

Chris Herren

1

45

597

0.0

0.0

-0.003

148

Charles Smith

1

1

2

-0.1

-0.1

-1.282

149

Mark Strickland

1

46

517

-0.1

-0.1

-0.006

150

Kenny Smith

1

33

654

-0.1

-0.1

-0.005

151

Wayne Englestad

1

11

50

-0.1

-0.1

-0.078

152

Monty Williams

1

1

6

-0.1

-0.1

-0.680

153

Vincent Askew

1

1

9

-0.1

-0.1

-0.566

154

Dan McClintock

1

6

58

-0.1

-0.1

-0.089

155

Randy Woods

1

8

72

-0.1

-0.1

-0.073

156

Mark Bryant

1

3

14

-0.1

-0.1

-0.382

157

Tracy Murray

1

13

135

-0.1

-0.1

-0.041

158

Cliff Levingston

1

57

469

-0.1

-0.1

-0.012

159

Reggie Slater

2

29

262

-0.1

-0.1

-0.022

160

Cheik Samb

1

6

24

-0.1

-0.1

-0.244

161

Darvin Ham

1

35

313

-0.1

-0.1

-0.019

162

Jeff McInnis

1

13

117

-0.1

-0.1

-0.052

163

Jelani McCoy

1

6

33

-0.1

-0.1

-0.189

164

Jawann Oldham

1

4

21

-0.1

-0.1

-0.306

165

Mike Wilks

1

8

122

-0.1

-0.1

-0.058

166

Devin Brown

1

3

71

-0.2

-0.2

-0.102

167

Johnny Taylor

2

37

729

-0.2

-0.1

-0.010

168

Walter Davis

4

235

5,277

-0.2

0.0

-0.002

169

Dwight Anderson

1

5

33

-0.2

-0.2

-0.254

170

Roy Marble

1

5

32

-0.2

-0.2

-0.262

171

Craig Neal

1

10

125

-0.2

-0.2

-0.068

172

Ricky Pierce

1

33

600

-0.2

-0.2

-0.014

173

Adonis Jordan

1

6

79

-0.2

-0.2

-0.111

174

Mark Pope

2

13

47

-0.2

-0.1

-0.192

175

Melvin Booker

1

5

21

-0.2

-0.2

-0.435

176

Garth Joseph

1

2

8

-0.2

-0.2

-1.188

177

Keith Edmonson

1

15

101

-0.2

-0.2

-0.096

178

Howard Eisley

1

19

281

-0.2

-0.2

-0.038

179

Brad Wright

1

2

7

-0.2

-0.2

-1.523

180

Willie White

2

82

577

-0.2

-0.1

-0.019

181

Elmore Spencer

1

6

21

-0.2

-0.2

-0.549

182

John Kuester

1

33

212

-0.2

-0.2

-0.054

183

Phil Hicks

1

20

128

-0.2

-0.2

-0.092

184

Scott Hastings

2

116

1,091

-0.2

-0.1

-0.011

185

Don MacLean

1

56

1,107

-0.3

-0.3

-0.011

186

David Burns

1

6

53

-0.3

-0.3

-0.250

187

Terry Davis

1

19

228

-0.3

-0.3

-0.060

188

Arvid Kramer

1

8

45

-0.3

-0.3

-0.308

189

Rastko Cvetkovic

1

14

48

-0.3

-0.3

-0.297

190

Ron Mercer

1

37

1,408

-0.3

-0.3

-0.012

191

Steven Hunter

1

19

120

-0.3

-0.3

-0.139

192

Kiwane Garris

1

28

225

-0.4

-0.4

-0.077

193

Carl Herrera

1

24

265

-0.4

-0.4

-0.072

194

Chucky Atkins

2

38

467

-0.4

-0.2

-0.041

195

Doug Overton

1

55

607

-0.4

-0.4

-0.032

196

Tony Battie

1

65

1,506

-0.4

-0.4

-0.013

197

Chris Whitney

1

29

762

-0.4

-0.4

-0.027

198

Darnell Mee

2

40

293

-0.4

-0.2

-0.071

199

Elmer Bennett

1

5

59

-0.4

-0.4

-0.359

200

Robert Werdann

1

28

149

-0.5

-0.5

-0.147

201

Kenny Dennard

1

43

413

-0.5

-0.5

-0.054

202

Michael Doleac

1

26

344

-0.5

-0.5

-0.064

203

Mark Randall

2

36

194

-0.5

-0.2

-0.118

204

Ralph Simpson

1

32

584

-0.5

-0.5

-0.040

205

LaSalle Thompson

1

17

105

-0.5

-0.5

-0.241

206

Greg Grant

2

24

260

-0.6

-0.3

-0.102

207

Sonny Weems

1

12

55

-0.6

-0.6

-0.513

208

Carl Nicks

1

27

493

-0.6

-0.6

-0.058

209

Geoff Crompton

1

20

88

-0.6

-0.6

-0.342

210

Johan Petro

1

27

218

-0.6

-0.6

-0.141

211

Loren Meyer

1

14

70

-0.7

-0.7

-0.494

212

Von Wafer

1

21

90

-0.7

-0.7

-0.397

213

Tim Legler

1

10

148

-0.7

-0.7

-0.242

214

Predrag Savovic

1

27

256

-0.7

-0.7

-0.140

215

Eddie Hughes

2

86

1,116

-0.8

-0.4

-0.034

216

Tariq Abdul-Wahad

3

64

1,210

-0.9

-0.3

-0.034

217

Jim Farmer

2

29

472

-0.9

-0.4

-0.089

218

Priest Lauderdale

1

39

345

-0.9

-0.9

-0.125

219

Sarunas Marciulionis

1

17

255

-0.9

-0.9

-0.171

220

Ronnie Valentine

1

24

123

-0.9

-0.9

-0.360

221

Otis Smith

2

43

359

-0.9

-0.5

-0.125

222

Howard Carter

1

55

688

-1.0

-1.0

-0.069

223

Eric Washington

2

104

2,300

-1.0

-0.5

-0.021

224

Dave Robisch

4

165

2,853

-1.1

-0.3

-0.018

225

Mark Blount

1

54

885

-1.1

-1.1

-0.061

226

Bob Wilkerson

3

236

7,586

-1.1

-0.4

-0.007

227

Mengke Bateer

1

27

408

-1.1

-1.1

-0.135

228

James Ray

3

103

843

-1.2

-0.4

-0.069

229

Mark Alarie

1

64

1,110

-1.2

-1.2

-0.053

230

Maurice Martin

2

69

422

-1.7

-0.8

-0.192

231

Gary Plummer

1

60

737

-1.7

-1.7

-0.111

232

Kenny Satterfield

2

58

980

-1.8

-0.9

-0.087

233

Eric Williams

2

42

925

-2.0

-1.0

-0.102

234

Jay Vincent

2

78

1,850

-2.3

-1.2

-0.061

235

Kevin Brooks

3

126

1,031

-2.5

-0.8

-0.117

236

Johnny Newman

1

74

2,176

-2.6

-2.6

-0.057

237

Yakhouba Diawara

2

118

1,721

-3.0

-1.5

-0.084

238

Mike Evans

6

419

7,431

-3.2

-0.5

-0.021

239

Tom LaGarde

1

77

868

-3.8

-3.8

-0.208

240

Mahmoud Abdul-Rauf

6

439

12,481

-4.5

-0.8

-0.017

241

Joe Wolf

3

198

3,374

-4.7

-1.6

-0.067

242

Charlie Scott

2

148

4,477

-5.2

-2.6

-0.055

243

Nikoloz Tskitishvili

3

143

1,785

-6.1

-2.0

-0.164

244

Mark Macon

3

131

3,571

-6.2

-2.1

-0.083

As noted yesterday, Anthony is on pace to produce about nine wins this season.  So when the 2009-10 season ends, Melo might catch David Thompson. But Anthony is going to have produce at his curren rate until 2018-19 (when he will be 35 years of age) to catch the number one ranked player in history.  Yes, it’s possible that can happen.  But given what happens to players once they pass the age of 30, it seems unlikely.

If Anthony does maintain his current pace for another decade — again, this is unlikely — he will eventually pass Fat Lever on the list.  Lever– who played for Denver and Doug Moe – produced 114.2 wins in just six seasons in the Mile High City.  In addition to leading Denver in Wins Produced, Lever’s 0.325 WP48 [Wins Produced per 48 minutes] also ranks number one in Denver history (Anthony has never posted a WP48 close to this mark) .  Lever, though, never scored 20 points per game.  So it’s understandable that people might think Carmelo Anthony is doing more today.

I should add… Lever is also not the only Moe player to surpass Anthony.  T.R. Dunn, Alex English and Dan Issel produced more wins than Anthony in a Denver uniform.  And Moe coached all these players.  But apparently he thinks all fall short of Melo.

Again, Anthony scores.  And as Moe notes, he plays for some of the most successful teams in Denver history. But I think Denver’s success is more about Carmelo’s teammates (i.e. Marcus Camby, Andre Miller, Chauncey Billups, Nene Hilario, and Chris Andersen) than it’s about Denver’s lone current All-Star.   At least, these players — despite not being great scorers — appear to produce more wins than Anthony.

Now I am not saying Anthony isn’t a good player.  But I do not think he is as productive as other top players today (i.e. LeBron James, Chris Paul, etc…).  And he is not the most productive player in the history of the Nuggets.

Let me close by noting that this is the fourth time I have reported every player in the history of a team.  Here are the previous three teams I have examined.

Ranking Every Player in the History of the Utah Jazz

Ranking Every Player for the Boston Celtics since 1977

Ranking Every Player for the LA Lakers since 1977

Perhaps this next summer – after the 2009-10 season ends – I will look at a few more teams.

- DJ

The WoW Journal Comments Policy

Our research on the NBA was summarized HERE.

The Technical Notes at wagesofwins.com provides substantially more information on the published research behind Wins Produced and Win Score

Wins Produced, Win Score, and PAWSmin are also discussed in the following posts:

Simple Models of Player Performance

Wins Produced vs. Win Score

What Wins Produced Says and What It Does Not Say

Introducing PAWSmin — and a Defense of Box Score Statistics

Finally, A Guide to Evaluating Models contains useful hints on how to interpret and evaluate statistical models.