NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Omri Casspi SF 43 503 .138 1.2 1.44 16.5 10.9 2.7 2.1 1.1 2.4 4.3
Wayne Ellington SG 38 985 .141 1.3 2.88 19.3 5.6 3.0 1.6 0.1 1.4 2.1
Alonzo Gee SF 82 2541 .045 -1.7 2.38 15.9 6.0 2.5 2.5 0.5 2.0 3.8
Daniel Gibson G 46 919 -.005 -3.2 -0.10 13.1 3.1 4.3 1.6 0.2 1.6 4.6
Luke Harangody PF 0 0 .000 0.0 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Kyrie Irving PG 59 2048 .096 -0.1 4.10 31.1 5.1 8.2 4.5 0.5 2.1 3.4
Kevin Jones PF 32 334 .041 -1.8 0.28 13.7 11.2 1.4 1.1 0.7 1.3 3.6
Jon Leuer C 9 91 -.263 -11.2 -0.50 11.6 6.9 2.6 2.6 0.0 1.1 5.8
Shaun Livingston PG 49 1135 .155 1.7 3.66 15.0 5.1 7.5 2.5 1.2 1.6 4.4
C.J. Miles GF 65 1364 .042 -1.8 1.19 25.7 6.1 2.2 2.4 0.6 1.7 4.9
Jeremy Pargo PG 25 447 -.083 -5.7 -0.77 21.0 3.4 6.9 4.0 0.2 1.3 3.4
Chris Quinn G 7 78 -.144 -7.6 -0.23 6.2 1.2 5.5 3.7 0.0 1.8 2.5
Samardo Samuels PF 18 196 -.170 -8.4 -0.69 14.2 6.9 2.0 1.5 0.7 0.7 7.3
Josh Selby PG 0 0 .000 0.0 0.00 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Donald Sloan G 20 257 .009 -2.8 0.05 15.1 5.2 6.9 2.4 0.0 0.9 3.2
Marreese Speights C 39 721 .008 -2.8 0.13 26.4 13.1 1.9 3.0 1.7 0.9 5.9
Tristan Thompson PF 82 2564 .159 1.9 8.48 17.9 14.5 2.0 2.3 1.3 1.1 4.4
Anderson Varejao FC 25 901 .312 6.6 5.86 18.8 19.2 4.5 2.3 0.7 2.0 3.6
Dion Waiters SG 61 1756 -.021 -3.7 -0.76 24.4 4.1 5.0 3.3 0.4 1.6 3.1
Luke Walton SF 50 857 .151 1.6 2.70 9.6 8.1 9.3 3.4 0.7 2.4 5.5
Tyler Zeller C 77 2033 -.017 -3.6 -0.74 14.4 10.3 2.3 2.2 1.7 0.8 5.9
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Omri Casspi 39.4% 45.2% 32.9% 53.7% 47.2% 48.6% 15.3 7.3 3.9
Wayne Ellington 43.9% 49.2% 37.1% 89.8% 52.0% 55.6% 16.1 7.0 2.9
Alonzo Gee 41.0% 45.0% 31.5% 79.5% 45.6% 50.5% 14.1 4.1 3.9
Daniel Gibson 34.0% 33.3% 34.4% 70.3% 45.3% 47.5% 12.9 8.5 1.9
Luke Harangody 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0 0.0 0.0
Kyrie Irving 45.2% 47.4% 39.1% 85.5% 50.3% 55.3% 25.1 6.5 6.8
Kevin Jones 40.2% 40.2% 0.0% 60.0% 40.2% 41.8% 15.4 0.0 2.2
Jon Leuer 35.7% 40.0% 0.0% 33.3% 35.7% 35.9% 14.8 1.6 3.2
Shaun Livingston 50.7% 50.9% 0.0% 84.3% 50.7% 55.9% 11.8 0.0 3.5
C.J. Miles 41.5% 45.1% 38.4% 86.9% 51.8% 55.1% 21.6 11.5 3.8
Jeremy Pargo 40.1% 43.8% 31.6% 68.3% 44.9% 47.8% 20.1 6.1 4.4
Chris Quinn 25.0% 36.4% 0.0% 100.0% 25.0% 29.6% 9.8 3.1 1.2
Samardo Samuels 36.7% 37.3% 0.0% 58.3% 36.7% 41.1% 14.7 0.2 5.9
Josh Selby 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0 0.0 0.0
Donald Sloan 34.6% 33.9% 36.8% 80.0% 39.1% 45.5% 14.6 3.5 4.7
Marreese Speights 45.7% 46.1% 20.0% 80.6% 45.8% 51.5% 22.4 0.3 7.2
Tristan Thompson 48.8% 49.0% 0.0% 60.8% 48.8% 51.6% 15.0 0.1 5.4
Anderson Varejao 47.8% 48.6% 0.0% 75.5% 47.8% 52.9% 15.4 0.3 5.4
Dion Waiters 41.2% 44.6% 31.0% 74.6% 45.1% 49.2% 22.3 5.5 5.8
Luke Walton 39.2% 44.7% 29.9% 50.0% 44.8% 45.3% 10.1 3.8 1.1
Tyler Zeller 43.8% 44.1% 0.0% 76.4% 43.8% 48.6% 13.2 0.1 3.7
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
CLE 0.609 29.4 96.5 28.8 12.2 41.0 20.7 14.0 4.1 7.9 21.2
AVG 0.500 41.0 98.1 31.0 11.2 42.1 22.1 14.6 5.1 7.8 19.8
OPP 0.391 52.6 101.2 31.3 10.8 42.1 23.9 15.2 6.8 7.6 19.7
AVGOPP 0.500 41.0 98.1 31.0 11.2 42.1 22.1 14.6 5.1 7.8 19.8
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
CLE 43.4% 46.0% 34.6% 75.6% 47.3% 51.4% 84.2 19.3 22.3
AVG 45.3% 48.3% 35.9% 75.3% 49.6% 53.5% 82.0 20.0 22.2

Wins Produced
Expected* Actual Forecast**
29.4-52.6 24-58 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.