NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Martynas Andriuskevicius C 6 9 .441 10.6 0.08 0.0 21.3 0.0 0.0 0.0 10.7 5.3
Drew Gooden PF 79 2174 .201 3.2 9.11 18.7 14.7 1.2 2.3 1.1 1.1 4.2
Stephen Graham SG 13 117 -.040 -4.3 -0.10 14.8 7.0 1.2 2.9 0.8 1.2 9.4
Zendon Hamilton C 11 46 .085 -0.4 0.08 26.1 11.5 0.0 6.3 0.0 3.1 4.2
Alan Henderson PF 51 531 .172 2.3 1.91 11.5 12.4 0.9 2.0 1.1 0.8 5.2
Larry Hughes SG 36 1281 .056 -1.3 1.49 20.9 6.0 4.9 3.7 0.8 2.0 4.4
Zydrunas Ilgauskas C 78 2283 .136 1.1 6.45 25.6 12.4 1.9 3.3 2.9 0.8 5.9
Luke Jackson SF 36 315 -.020 -3.7 -0.13 14.6 6.1 3.8 4.7 0.3 1.7 4.6
LeBron James SF 79 3361 .224 3.9 15.67 35.4 7.9 7.4 3.7 0.9 1.8 2.6
Damon Jones PG 82 2089 .066 -1.0 2.86 12.7 3.1 3.9 1.3 0.0 0.9 2.6
Donyell Marshall PF 81 2077 .081 -0.5 3.52 17.3 11.4 1.4 2.1 0.9 1.4 3.7
Ronald Murray SG 28 1027 .057 -1.3 1.22 17.6 3.1 3.6 2.6 0.3 1.8 3.0
Ira Newble SF 36 353 .012 -2.7 0.09 6.5 7.6 1.2 1.6 1.4 0.7 6.4
Sasha Pavlovic SG 53 813 -.003 -3.2 -0.05 14.2 4.7 1.5 2.5 0.4 1.1 6.1
Eric Snow PG 82 2351 .058 -1.3 2.86 8.0 4.0 7.1 2.4 0.4 1.6 4.5
Anderson Varejao C 48 760 .167 2.1 2.64 13.8 14.8 1.2 1.7 1.2 2.0 7.5
Mike Wilks PG 37 243 -.138 -7.4 -0.70 8.3 5.3 3.6 3.0 0.2 1.6 5.3
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Martynas Andriuskevicius 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 5.3 0.0 0.0
Drew Gooden 51.2% 51.3% 33.3% 68.2% 51.3% 55.2% 14.4 0.1 5.7
Stephen Graham 42.4% 43.8% 0.0% 88.9% 42.4% 48.7% 13.5 0.4 3.7
Zendon Hamilton 53.8% 53.8% 0.0% 68.8% 53.8% 62.4% 13.6 0.0 16.7
Alan Henderson 51.6% 51.6% 0.0% 67.3% 51.6% 56.4% 8.2 0.0 4.4
Larry Hughes 40.9% 41.7% 36.8% 75.6% 43.9% 50.4% 17.6 2.8 7.2
Zydrunas Ilgauskas 50.6% 50.9% 0.0% 83.4% 50.6% 57.6% 18.7 0.1 8.0
Luke Jackson 34.1% 34.7% 33.3% 78.8% 41.2% 48.2% 13.0 5.5 5.0
LeBron James 48.0% 51.8% 33.5% 73.8% 51.5% 56.8% 26.0 5.4 11.6
Damon Jones 38.7% 41.7% 37.7% 64.0% 53.0% 53.8% 11.3 8.5 1.1
Donyell Marshall 39.5% 49.6% 32.4% 74.8% 49.0% 51.7% 15.5 9.1 2.8
Ronald Murray 44.8% 48.4% 30.8% 70.2% 47.9% 52.0% 14.8 3.0 4.9
Ira Newble 29.8% 31.8% 23.1% 68.8% 32.5% 37.5% 7.8 1.8 2.2
Sasha Pavlovic 41.0% 44.8% 36.5% 65.3% 49.3% 51.6% 12.5 5.7 2.9
Eric Snow 40.9% 41.6% 10.0% 68.8% 41.0% 44.4% 8.1 0.2 1.9
Anderson Varejao 52.7% 53.0% 0.0% 51.3% 52.7% 54.1% 9.5 0.1 7.5
Mike Wilks 28.8% 33.3% 14.3% 50.0% 30.5% 32.7% 11.7 2.8 2.4
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
CLE 0.113 47.0 97.6 30.6 11.7 42.3 19.0 13.9 4.8 6.9 21.1
AVG 0.500 41.0 97.0 29.8 11.2 41.0 20.6 14.4 4.7 7.2 22.8
OPP 0.887 35.0 95.4 29.5 9.8 39.4 20.3 13.2 4.4 6.6 22.5
AVGOPP 0.500 41.0 97.0 29.8 11.2 41.0 20.6 14.4 4.7 7.2 22.8
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
CLE 45.4% 48.7% 33.9% 72.9% 49.2% 53.8% 78.2 17.9 28.3
AVG 45.4% 47.8% 35.8% 74.5% 49.0% 53.6% 79.0 16.0 26.3

Wins Produced
Expected* Actual Forecast**
47.0-35.0 50-32 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.