NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Victor Alexander C 15 97 -.227 -10.1 -0.46 19.8 14.4 3.0 2.5 0.5 0.0 3.0
Chucky Atkins PG 79 2285 .081 -0.6 3.87 20.1 3.3 5.5 2.7 0.2 1.5 3.7
Dana Barros PG 29 582 -.008 -3.3 -0.10 15.9 4.7 6.4 2.7 0.2 1.2 3.1
Jon Barry SG 82 1985 .282 5.7 11.66 17.9 5.7 6.6 2.7 0.5 2.3 3.2
Brian Cardinal PF 8 43 .134 1.1 0.12 19.0 6.7 2.2 0.0 0.0 1.1 5.6
Michael Curry SF 82 1912 .047 -1.6 1.86 8.3 4.2 3.2 1.5 0.3 1.2 5.2
Damon Jones PG 67 1083 .070 -0.9 1.59 15.1 4.6 6.2 2.7 0.0 1.0 3.7
Mikki Moore C 30 217 .081 -0.6 0.37 17.5 11.7 2.4 3.1 2.0 1.5 7.7
Zeljko Rebraca C 74 1179 .059 -1.3 1.44 20.9 11.8 1.5 3.4 3.0 1.1 7.8
Clifford Robinson PF 80 2855 -.018 -3.6 -1.05 19.6 6.5 3.4 2.5 1.6 1.5 4.1
Jerry Stackhouse SG 76 2685 .053 -1.4 2.95 29.1 5.6 7.2 4.8 0.7 1.4 2.9
Ratko Varda C 1 6 -.277 -11.7 -0.03 40.0 8.0 0.0 8.0 0.0 0.0 24.0
Ben Wallace C 80 2921 .353 7.9 21.45 10.0 17.1 1.9 1.2 4.6 2.3 2.9
Rodney White SF 16 129 -.107 -6.4 -0.29 20.8 6.7 4.5 5.2 0.7 3.3 2.2
Corliss Williamson SF 78 1701 .100 0.0 3.54 30.0 9.0 2.7 3.9 0.7 1.4 6.4
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Victor Alexander 35.3% 36.7% 0.0% 50.0% 35.3% 36.7% 25.2 1.0 4.0
Chucky Atkins 46.6% 50.7% 41.1% 69.2% 55.3% 56.8% 16.6 7.1 2.5
Dana Barros 38.5% 41.3% 33.8% 77.8% 44.8% 47.3% 15.8 5.9 2.2
Jon Barry 48.9% 50.8% 46.9% 93.1% 60.4% 64.5% 12.6 6.2 2.8
Brian Cardinal 46.2% 50.0% 42.9% 100.0% 57.7% 61.2% 14.5 7.8 2.2
Michael Curry 45.3% 47.2% 26.9% 79.1% 46.6% 52.1% 6.9 0.7 2.3
Damon Jones 40.1% 45.9% 37.1% 72.9% 52.3% 54.8% 12.6 8.2 2.6
Mikki Moore 47.5% 47.5% 50.0% 76.9% 48.4% 54.5% 13.5 0.4 5.8
Zeljko Rebraca 50.5% 50.5% 0.0% 77.1% 50.5% 56.9% 15.2 0.0 7.1
Clifford Robinson 42.5% 44.3% 37.8% 69.4% 47.8% 50.3% 18.0 5.1 3.5
Jerry Stackhouse 39.7% 43.0% 28.7% 85.8% 43.0% 51.8% 23.6 5.4 10.3
Ratko Varda 66.7% 66.7% 0.0% 100.0% 66.7% 72.7% 24.0 0.0 8.0
Ben Wallace 53.1% 53.5% 0.0% 42.3% 53.1% 52.2% 7.9 0.0 3.8
Rodney White 35.0% 37.3% 22.2% 85.7% 36.7% 42.3% 22.3 3.3 5.2
Corliss Williamson 51.0% 51.2% 20.0% 80.5% 51.1% 56.7% 22.7 0.1 8.4
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
DET 0.252 46.9 94.3 28.9 9.9 38.7 21.5 14.5 6.9 7.9 20.7
AVG 0.500 41.0 95.5 30.2 12.2 42.4 21.9 14.5 5.2 7.8 21.2
OPP 0.748 35.1 92.2 30.6 12.1 42.7 20.0 15.5 4.1 7.9 22.9
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
DET 45.2% 47.5% 37.6% 75.6% 49.7% 54.0% 76.8 18.4 23.8
AVG 44.5% 46.5% 35.4% 75.2% 47.7% 52.0% 81.3 14.7 23.8

Wins Produced
Expected* Actual Forecast**
46.9-35.1 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 Detroit Pistons

Trade Machine Economics

So, yesterday a trade happened. I'm not going to talk a whole lot about the #BasketballReasons of the trade (other, than, perhaps to take a 5-minute break laughing myself silly at those of you who actually thought Toronto got better here) because I think Ben Gulker and Devin Digham both do a good job of that here and here. I just want to briefly talk about the economics.

Pistons: Win with Youth

From the Truehoop Bullets today:

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.