NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
DeSagana Diop C 39 306 -.063 -5.0 -0.40 6.3 11.0 2.4 1.9 4.2 1.3 8.3
Drew Gooden PF 82 2523 .175 2.4 9.18 22.5 14.3 2.5 2.5 1.4 1.5 4.4
Lucious Harris SG 73 1128 .068 -1.0 1.59 13.3 5.1 2.1 1.2 0.3 1.1 2.9
Zydrunas Ilgauskas C 78 2615 .091 -0.2 4.96 24.2 12.3 1.8 3.5 3.0 1.0 5.7
Luke Jackson SF 10 43 -.104 -6.3 -0.09 32.4 6.7 3.3 2.2 0.0 0.0 4.5
LeBron James SF 80 3388 .238 4.3 16.82 30.8 8.3 8.2 3.7 0.7 2.5 2.1
Jeff McInnis PG 76 2651 .022 -2.4 1.23 17.7 2.8 7.1 2.1 0.0 1.0 3.2
Jerome Moiso PF 4 27 .257 4.9 0.14 10.7 12.4 1.8 0.0 3.6 1.8 7.1
Ira Newble SG 74 1832 .092 -0.2 3.52 11.5 5.8 2.4 1.6 0.5 1.3 3.8
Sasha Pavlovic SG 65 862 -.019 -3.7 -0.35 17.5 4.0 2.7 2.6 0.2 1.6 6.7
Eric Snow PG 81 1844 .075 -0.7 2.89 8.4 4.0 8.3 2.3 0.4 1.7 4.9
Robert Traylor C 74 1327 .006 -2.9 0.16 14.8 12.0 2.2 2.6 1.8 2.0 7.8
Anderson Varejao PF 54 863 .254 4.8 4.57 14.8 14.3 1.5 1.4 2.1 2.3 6.8
Dajuan Wagner PG 11 102 -.372 -14.7 -0.79 20.7 0.9 6.1 4.2 0.0 2.4 7.1
Jiri Welsch SF 16 192 -.116 -6.7 -0.46 11.5 7.0 4.8 3.8 0.0 1.2 4.0
Scott Williams C 19 152 -.125 -7.0 -0.39 10.4 9.5 2.5 1.6 1.9 1.3 9.5
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
DeSagana Diop 29.0% 29.9% 0.0% 0.0% 29.0% 28.1% 10.8 0.3 0.8
Drew Gooden 49.2% 50.2% 17.9% 81.0% 49.5% 54.8% 17.9 0.5 5.9
Lucious Harris 39.5% 41.5% 32.3% 81.2% 43.0% 47.5% 12.7 2.8 2.9
Zydrunas Ilgauskas 46.8% 46.9% 28.6% 79.9% 46.9% 55.0% 18.0 0.1 9.2
Luke Jackson 37.0% 28.6% 66.7% 83.3% 44.4% 48.9% 30.1 6.7 6.7
LeBron James 47.2% 49.9% 35.1% 75.0% 50.4% 55.4% 23.9 4.4 9.0
Jeff McInnis 41.2% 43.9% 34.5% 81.2% 46.2% 49.5% 16.6 4.8 2.9
Jerome Moiso 60.0% 60.0% 0.0% 0.0% 60.0% 60.0% 8.9 0.0 0.0
Ira Newble 42.9% 43.9% 35.8% 79.7% 45.2% 48.2% 11.1 1.4 1.8
Sasha Pavlovic 43.5% 45.5% 38.5% 68.8% 48.9% 51.6% 15.4 4.3 3.6
Eric Snow 38.2% 39.7% 28.9% 73.8% 40.2% 44.5% 8.5 1.2 2.1
Robert Traylor 44.4% 45.3% 0.0% 53.9% 44.4% 46.1% 14.4 0.3 3.7
Anderson Varejao 51.3% 51.8% 0.0% 53.5% 51.3% 53.4% 10.7 0.1 7.1
Dajuan Wagner 32.7% 44.8% 19.2% 75.0% 37.3% 38.8% 25.9 12.2 1.9
Jiri Welsch 23.5% 25.0% 18.2% 71.4% 25.5% 36.3% 12.8 2.8 7.0
Scott Williams 29.3% 30.0% 0.0% 81.8% 29.3% 36.0% 12.9 0.3 3.5
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
CLE 0.207 42.6 96.5 28.7 13.6 42.3 22.6 13.9 5.6 8.0 22.6
AVG 0.500 41.0 97.2 29.8 12.0 41.9 21.3 14.5 4.9 7.5 22.6
OPP 0.793 39.4 95.7 28.3 11.4 39.8 21.2 14.8 5.1 6.7 21.6
AVGOPP 0.500 41.0 97.2 29.8 12.0 41.9 21.3 14.5 4.9 7.5 22.6
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
CLE 44.7% 46.5% 33.2% 75.2% 47.0% 51.8% 81.5 11.0 26.5
AVG 44.7% 47.0% 35.6% 75.6% 48.2% 52.9% 80.3 15.8 26.1

Wins Produced
Expected* Actual Forecast**
42.6-39.4 42-40 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.