NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Bimbo Coles PG 47 693 .010 -2.8 0.15 10.3 3.8 7.4 2.1 0.3 0.9 4.1
Ricky Davis SF 82 1954 .039 -1.9 1.59 23.6 6.0 4.4 3.6 0.6 1.7 3.6
DeSagana Diop C 18 109 -.268 -11.4 -0.61 11.0 7.5 2.2 5.3 4.4 0.4 8.4
Michael Doleac C 42 705 -.073 -5.3 -1.07 13.2 11.4 1.7 2.5 0.7 1.0 6.7
Tyrone Hill PF 26 810 .064 -1.1 1.08 12.4 16.2 1.4 2.8 0.8 1.0 6.0
Zydrunas Ilgauskas C 62 1329 -.038 -4.3 -1.05 24.9 12.1 2.5 3.4 3.0 0.6 6.8
Jumaine Jones PF 81 2142 .075 -0.8 3.34 15.0 11.0 2.6 1.8 1.0 1.7 4.1
Trajan Langdon SG 44 477 .028 -2.2 0.28 21.0 5.5 6.0 4.0 0.5 1.3 4.9
Chris Mihm C 74 1659 -.106 -6.4 -3.66 16.5 11.3 0.7 2.8 2.6 0.5 7.5
Andre Miller PG 81 3023 .222 3.8 13.95 21.2 6.0 14.0 3.9 0.5 2.0 3.6
Lamond Murray SF 71 2312 .065 -1.0 3.15 24.4 7.7 3.3 2.9 0.9 1.5 3.1
Wesley Person SG 78 2793 .179 2.5 10.39 20.2 5.1 3.0 1.3 0.6 1.3 1.6
Brian Skinner PF 65 1107 .154 1.7 3.56 9.7 12.2 0.7 1.8 2.6 1.0 5.6
Bryant Stith SG 50 665 .084 -0.5 1.16 15.0 6.1 3.0 2.2 0.4 2.1 3.0
Jeff Trepagnier PG 12 77 -.063 -5.0 -0.10 11.2 7.5 7.5 6.9 2.5 5.0 5.0
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Bimbo Coles 38.4% 41.3% 20.0% 89.2% 39.7% 45.9% 10.1 1.4 2.6
Ricky Davis 48.1% 48.9% 31.4% 79.0% 48.8% 53.9% 19.2 0.9 6.1
DeSagana Diop 41.4% 41.4% 0.0% 20.0% 41.4% 40.1% 12.8 0.0 2.2
Michael Doleac 41.7% 41.7% 0.0% 82.6% 41.7% 46.8% 12.7 0.0 3.1
Tyrone Hill 39.0% 39.2% 0.0% 65.0% 39.0% 46.0% 10.8 0.1 6.1
Zydrunas Ilgauskas 42.5% 42.9% 0.0% 75.4% 42.5% 50.1% 20.5 0.2 10.0
Jumaine Jones 44.8% 49.8% 31.0% 66.2% 48.9% 50.1% 14.3 3.8 1.5
Trajan Langdon 39.8% 42.2% 36.5% 91.3% 47.4% 53.3% 17.7 7.4 4.6
Chris Mihm 42.0% 42.0% 42.9% 69.3% 42.3% 47.0% 15.2 0.2 5.2
Andre Miller 45.4% 47.2% 25.3% 81.7% 46.4% 53.8% 16.6 1.4 7.1
Lamond Murray 43.6% 44.0% 42.4% 81.7% 48.7% 53.4% 20.5 4.9 5.5
Wesley Person 49.5% 52.1% 44.4% 79.8% 57.0% 58.9% 16.2 5.5 2.1
Brian Skinner 54.3% 54.3% 0.0% 60.8% 54.3% 56.9% 7.0 0.0 3.4
Bryant Stith 37.2% 38.3% 35.3% 84.6% 43.6% 49.3% 13.6 4.9 3.8
Jeff Trepagnier 30.4% 31.8% 0.0% 57.1% 30.4% 34.5% 14.3 0.6 4.4
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
CLE 0.030 32.2 95.3 30.3 11.8 42.1 23.1 14.6 5.7 7.0 21.4
AVG 0.500 41.0 95.5 30.2 12.2 42.4 21.9 14.5 5.2 7.8 21.2
OPP 0.970 49.8 98.6 29.0 11.3 40.4 24.3 13.0 5.6 7.3 20.0
AVGOPP 0.500 41.0 95.5 30.2 12.2 42.4 21.9 14.5 5.2 7.8 21.2
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
CLE 44.8% 46.1% 37.7% 77.2% 47.7% 52.4% 80.3 12.5 24.1
AVG 44.5% 46.5% 35.4% 75.2% 47.7% 52.0% 81.3 14.7 23.8

Wins Produced
Expected* Actual Forecast**
32.2-49.8 29-53 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.