NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Tony Battie C 50 977 .035 -2.0 0.72 13.4 11.8 1.8 1.9 2.3 0.9 5.1
Carlos Boozer PF 75 2592 .235 4.2 12.68 21.5 15.9 2.7 2.5 1.0 1.4 3.7
J.R. Bremer PG 31 403 -.096 -6.1 -0.81 13.1 3.9 4.6 2.3 0.5 2.1 3.2
Kedrick Brown SF 34 561 .144 1.4 1.68 15.3 6.7 3.3 1.5 0.4 1.1 3.6
Mateen Cleaves PG 4 92 -.066 -5.1 -0.13 7.8 3.7 9.9 2.6 1.0 2.1 6.8
Ricky Davis SG 22 796 .058 -1.3 0.96 20.3 7.3 6.7 4.1 0.5 1.5 3.1
DeSagana Diop C 56 730 .076 -0.7 1.16 8.3 13.1 2.2 1.9 3.4 1.7 7.6
Zydrunas Ilgauskas C 81 2539 .108 0.3 5.70 23.4 12.3 2.1 3.1 3.8 0.7 5.2
LeBron James SG 79 3122 .080 -0.6 5.19 25.4 6.6 7.1 4.2 0.9 2.0 2.3
Jason Kapono SF 41 427 .035 -2.0 0.31 16.3 6.2 1.6 2.4 0.2 1.5 4.6
Jelani McCoy PF 2 12 -.083 -5.7 -0.02 0.0 16.0 0.0 4.0 0.0 0.0 16.0
Jeff McInnis PG 31 1096 .112 0.4 2.55 15.9 3.6 10.2 2.6 0.2 1.6 3.0
Chris Mihm C 22 391 .125 0.8 1.02 18.7 17.2 1.2 3.1 2.7 1.1 7.1
Darius Miles SF 37 888 .037 -1.9 0.68 17.8 9.0 4.3 3.0 1.5 1.4 4.5
Lee Nailon PF 22 397 -.078 -5.5 -0.64 20.6 8.0 2.1 2.5 0.1 0.5 4.4
Ira Newble SF 64 1245 .016 -2.6 0.41 9.8 6.0 2.8 2.1 0.7 1.0 4.2
Kevin Ollie PG 82 1401 .127 0.9 3.70 11.7 5.8 8.0 2.8 0.3 1.7 4.1
Michael Stewart PF 8 76 .079 -0.6 0.12 5.1 11.4 0.0 0.6 5.1 0.6 13.3
Bruno Sundov C 4 29 -.322 -13.1 -0.19 14.9 16.6 0.0 5.0 0.0 0.0 11.6
Dajuan Wagner SG 44 708 -.131 -7.1 -1.93 19.5 3.9 3.5 2.8 0.5 1.8 6.0
Eric Williams SF 50 1373 .027 -2.2 0.78 16.4 6.7 3.3 2.0 0.3 1.7 4.5
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Tony Battie 42.7% 43.6% 12.5% 76.8% 42.9% 46.6% 13.1 0.4 2.8
Carlos Boozer 52.3% 52.6% 16.7% 76.8% 52.4% 56.7% 16.7 0.1 5.3
J.R. Bremer 28.5% 28.2% 28.8% 65.0% 35.4% 37.7% 16.3 7.9 2.4
Kedrick Brown 46.5% 52.3% 38.8% 64.3% 54.8% 55.5% 13.3 5.7 1.2
Mateen Cleaves 30.4% 31.8% 0.0% 50.0% 30.4% 31.4% 12.0 0.5 1.0
Ricky Davis 43.1% 44.5% 35.4% 68.0% 45.8% 48.8% 18.8 2.9 4.5
DeSagana Diop 38.8% 38.8% 0.0% 60.0% 38.8% 40.4% 9.7 0.0 1.3
Zydrunas Ilgauskas 48.3% 48.4% 28.6% 74.6% 48.4% 54.1% 18.2 0.1 7.7
LeBron James 41.7% 43.8% 29.0% 75.4% 43.8% 48.8% 22.9 3.3 7.1
Jason Kapono 40.3% 36.5% 47.7% 83.3% 48.4% 51.9% 14.5 4.9 2.7
Jelani McCoy 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0 0.0 0.0
Jeff McInnis 41.7% 42.6% 38.8% 83.6% 46.4% 50.3% 14.5 3.5 2.9
Chris Mihm 46.5% 46.5% 0.0% 70.8% 46.5% 51.3% 15.6 0.0 5.9
Darius Miles 43.2% 45.8% 16.7% 54.2% 44.0% 45.5% 17.9 1.6 3.9
Lee Nailon 45.1% 45.9% 0.0% 80.0% 45.1% 48.5% 19.6 0.4 3.6
Ira Newble 39.1% 41.2% 10.5% 78.3% 39.5% 42.9% 10.6 0.7 1.8
Kevin Ollie 37.0% 36.7% 44.4% 83.5% 37.7% 51.0% 8.8 0.3 6.0
Michael Stewart 42.9% 42.9% 0.0% 100.0% 42.9% 50.8% 4.4 0.0 1.3
Bruno Sundov 33.3% 33.3% 0.0% 50.0% 33.3% 38.7% 14.9 0.0 9.9
Dajuan Wagner 36.6% 36.8% 36.0% 68.1% 41.7% 43.9% 20.7 5.8 3.2
Eric Williams 36.6% 39.9% 25.3% 78.7% 39.4% 47.1% 14.7 3.3 6.1
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
CLE -0.020 33.9 92.9 31.9 13.6 45.6 22.0 14.8 6.5 7.1 21.3
AVG 0.500 41.0 93.4 30.1 12.1 42.2 21.3 15.0 5.1 7.9 21.4
OPP 1.020 48.1 95.5 30.2 11.8 42.0 21.7 13.1 5.3 7.7 20.2
AVGOPP 0.500 41.0 93.4 30.1 12.1 42.2 21.3 15.0 5.1 7.9 21.4
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
CLE 43.3% 44.8% 31.4% 75.3% 45.1% 49.8% 82.4 9.6 24.8
AVG 43.9% 46.0% 34.7% 75.2% 47.1% 51.6% 79.8 14.9 24.2

Wins Produced
Expected* Actual Forecast**
33.9-48.1 35-47 n/a

* The win-loss record that wins produced would have predicted based on players' WP48 so far (ignores previous seasons).

** future games only -- takes current record as given


Articles featuring the Cleveland Cavaliers

I Was Surprised: Anderson Varejao

The mainstream media baffles me. Like, for example, the obsession with triple doubles. Anderson Varajao didn't get one last night, so I guess his performance was only worth a quick mention. I mean, 23 rebounds, 9 assists, 9 points, 2 blocks in 37 minutes...that's not noteworthy or antyhing, right?

The NBA Geek's Amnesty Guesses, Part 1

I'm calling them guesses, not predictions, because this way if I'm completely wrong, I won't look as stupid.

Did David Kahn redeem himself?

The one time of the year when everyone seems to enjoy giving out grades is after the NBA Draft.  More than any other sport, fans seem to place faith (or, in the case of some GMs, at least hope) that the draft can change their team's fortunes.  I suppose this is because is because basketball is played with 5 players, so any player influences (approximately) 20% of your team's production at any given time on the court, while baseball fields 9 (10 if you count the DH) and football 11.  And of course, football and baseball rosters are much bigger, and they draft more players, so a far smaller percentage of drafted players actually make the roster.  In the NBA, in contrast, the 1st round picks have guaranteed contracts, and as the book Stumbling on Wins points out, playing time is highly correlated to draft position and salary.  In other words, once owners and managers shell out a lot of money for a prospect, they are reluctant to give up on that prospect.