NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Baron Davis PG 15 381 .083 -0.5 0.66 26.2 4.5 11.6 4.9 0.8 2.0 3.7
Semih Erden C 4 65 -.128 -7.1 -0.17 9.6 8.1 0.7 1.5 2.2 1.5 8.9
Christian Eyenga SF 44 944 -.002 -3.2 -0.05 15.4 6.3 1.8 2.4 1.4 1.7 4.0
Alonzo Gee SG 40 976 .137 1.2 2.79 14.6 7.7 1.6 2.2 0.8 1.6 4.0
Daniel Gibson PG 67 1865 .035 -2.0 1.37 20.1 4.6 5.2 2.1 0.5 1.2 4.0
Joey Graham SF 39 587 -.028 -4.0 -0.35 16.5 6.9 1.5 2.3 0.6 0.5 6.0
Luke Harangody PF 21 397 .027 -2.2 0.22 15.7 10.6 2.4 1.3 1.2 1.3 5.3
Manny Harris SG 54 931 .035 -2.0 0.67 16.5 7.2 4.4 3.2 0.4 1.6 3.4
J.J. Hickson C 80 2258 .025 -2.3 1.19 23.5 14.8 1.9 3.7 1.1 1.0 4.6
Ryan Hollins C 70 1184 -.018 -3.6 -0.44 15.1 7.5 1.1 2.7 1.7 0.9 8.1
Antawn Jamison PF 56 1841 -.001 -3.1 -0.03 26.3 9.8 2.4 2.0 0.8 1.3 3.6
Jamario Moon SF 40 764 .118 0.6 1.88 11.9 7.4 2.8 1.1 1.7 1.6 2.5
Anthony Parker SF 72 2090 .096 -0.1 4.18 13.8 5.0 5.0 1.8 0.2 1.5 2.5
Leon Powe PF 14 187 .031 -2.1 0.12 18.0 9.8 0.5 1.3 0.8 1.8 5.1
Samardo Samuels PF 37 703 -.043 -4.4 -0.62 19.7 10.7 1.2 3.6 1.2 1.0 6.0
Ramon Sessions SG 81 2132 .132 1.0 5.88 24.2 5.7 9.4 4.0 0.2 1.4 2.1
Anderson Varejao C 31 993 .219 3.7 4.53 13.6 14.5 2.2 1.9 1.8 1.3 4.2
Jawad Williams PF 26 390 -.126 -7.0 -1.02 12.8 5.9 2.7 2.0 0.4 1.1 4.2
Mo Williams PG 36 1063 -.050 -4.6 -1.10 21.5 4.4 11.6 4.7 0.5 1.5 4.1
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Baron Davis 42.1% 42.9% 41.4% 81.5% 52.2% 54.8% 22.4 11.0 3.4
Semih Erden 28.6% 28.6% 0.0% 83.3% 28.6% 39.1% 10.3 0.0 4.4
Christian Eyenga 42.5% 48.8% 27.5% 64.3% 46.6% 47.6% 15.6 4.6 1.4
Alonzo Gee 46.4% 49.5% 34.7% 80.0% 50.0% 55.4% 11.5 2.4 3.9
Daniel Gibson 40.0% 39.8% 40.3% 82.2% 48.9% 53.3% 17.0 7.5 4.2
Joey Graham 45.8% 49.0% 30.0% 80.6% 48.3% 51.8% 14.6 2.5 2.9
Luke Harangody 37.8% 46.8% 25.0% 77.8% 43.0% 45.5% 16.3 6.8 2.2
Manny Harris 37.5% 37.8% 37.0% 76.3% 43.4% 48.8% 14.8 4.7 4.8
J.J. Hickson 45.9% 46.1% 0.0% 67.3% 45.9% 50.4% 19.9 0.1 7.8
Ryan Hollins 59.8% 59.8% 0.0% 68.1% 59.8% 64.2% 8.9 0.0 6.6
Antawn Jamison 42.7% 46.2% 34.6% 73.1% 47.9% 51.6% 22.8 6.9 6.1
Jamario Moon 40.2% 52.1% 28.4% 90.9% 47.4% 48.8% 11.9 6.0 0.7
Anthony Parker 39.9% 41.2% 37.9% 77.9% 47.6% 50.5% 12.7 5.2 2.2
Leon Powe 49.2% 49.2% 0.0% 46.2% 49.2% 49.7% 15.1 0.0 6.7
Samardo Samuels 45.6% 46.2% 0.0% 61.8% 45.6% 49.8% 16.5 0.2 7.5
Ramon Sessions 46.6% 47.2% 20.0% 82.3% 46.8% 55.9% 17.5 0.3 9.5
Anderson Varejao 52.8% 53.3% 0.0% 66.7% 52.8% 56.0% 10.4 0.1 3.9
Jawad Williams 32.5% 34.6% 28.9% 75.0% 37.7% 39.6% 15.5 5.5 1.5
Mo Williams 38.5% 43.6% 26.5% 83.3% 42.4% 47.1% 20.9 6.1 4.6
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
CLE 0.208 19.7 95.5 29.8 10.4 40.3 21.0 13.7 4.2 6.6 20.1
AVG 0.500 41.0 99.6 30.5 10.9 41.4 21.5 13.6 4.9 7.3 20.7
OPP 0.792 62.3 104.5 32.6 10.9 43.5 24.2 13.0 6.0 7.5 21.3
AVGOPP 0.500 41.0 99.6 30.5 10.9 41.4 21.5 13.6 4.9 7.3 20.7
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
CLE 43.4% 46.1% 34.2% 74.5% 47.3% 51.8% 81.0 18.2 25.3
AVG 45.9% 48.7% 35.9% 76.3% 49.8% 54.1% 81.2 18.0 24.4

Wins Produced
Expected* Actual Forecast**
19.7-62.3 19-63 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.