NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Chauncey Billups PG 70 2533 .222 3.8 11.69 22.6 4.5 9.5 2.7 0.3 1.6 3.1
Will Blalock PG 14 166 -.021 -3.7 -0.07 7.2 4.3 4.9 3.5 0.0 1.4 2.6
Dale Davis C 46 464 .188 2.8 1.82 8.6 14.2 1.2 1.6 3.5 1.0 6.1
Carlos Delfino SG 82 1372 .179 2.5 5.12 15.0 9.3 3.1 2.1 0.3 1.6 3.4
Ronald Dupree SF 19 94 -.042 -4.4 -0.08 12.8 8.7 2.6 1.5 0.5 2.6 6.1
Richard Hamilton SG 75 2763 .100 0.0 5.76 25.8 4.9 5.0 2.8 0.3 1.0 4.0
Lindsey Hunter PG 52 745 .046 -1.7 0.71 16.5 3.0 6.0 2.3 0.5 2.2 3.6
Amir Johnson PF 8 124 .280 5.6 0.72 18.2 14.3 1.2 3.5 5.0 1.9 7.4
Jason Maxiell PF 67 943 .086 -0.4 1.69 17.0 9.5 0.7 2.7 3.1 1.5 5.6
Antonio McDyess PF 82 1729 .187 2.7 6.74 18.4 13.8 2.0 2.1 1.8 1.7 6.7
Nazr Mohammed C 51 773 .127 0.9 2.05 17.8 14.2 0.6 2.7 2.5 1.7 8.3
Ronald Murray SG 69 1477 .047 -1.6 1.44 15.1 3.7 6.1 2.9 0.4 1.6 3.1
Tayshaun Prince SF 82 3001 .161 1.9 10.07 18.7 6.9 3.6 1.6 0.9 0.8 1.9
Rasheed Wallace C 75 2419 .050 -1.5 2.52 18.4 10.8 2.5 1.9 2.3 1.5 4.5
Chris Webber C 43 1277 .086 -0.4 2.29 18.3 10.8 4.8 2.8 1.0 1.6 4.0
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Chauncey Billups 42.7% 47.9% 34.5% 88.3% 49.4% 59.1% 15.4 6.0 8.3
Will Blalock 30.0% 32.0% 20.0% 100.0% 31.7% 38.3% 8.7 1.4 1.7
Dale Davis 44.6% 44.6% 0.0% 65.4% 44.6% 48.6% 7.7 0.0 2.7
Carlos Delfino 41.5% 46.2% 33.3% 78.7% 47.6% 51.5% 13.2 4.8 3.1
Ronald Dupree 35.5% 35.5% 0.0% 33.3% 35.5% 35.8% 15.8 0.0 4.6
Richard Hamilton 46.8% 48.3% 34.1% 86.1% 48.6% 55.1% 20.3 2.2 7.0
Lindsey Hunter 38.5% 44.8% 31.9% 90.9% 46.3% 49.5% 15.7 7.7 2.1
Amir Johnson 54.5% 60.0% 0.0% 78.6% 54.5% 60.0% 12.8 1.2 5.4
Jason Maxiell 50.0% 50.0% 0.0% 52.6% 50.0% 51.8% 13.3 0.0 7.0
Antonio McDyess 52.6% 52.6% 0.0% 69.1% 52.6% 55.2% 15.0 0.0 3.9
Nazr Mohammed 53.2% 53.2% 0.0% 61.0% 53.2% 55.4% 13.8 0.0 5.1
Ronald Murray 40.4% 43.1% 28.9% 72.5% 43.2% 47.4% 14.2 2.7 3.9
Tayshaun Prince 46.0% 48.0% 38.6% 76.8% 50.1% 53.4% 15.9 3.4 3.6
Rasheed Wallace 42.3% 46.3% 35.1% 78.8% 48.5% 51.3% 16.7 5.9 2.7
Chris Webber 48.9% 49.1% 33.3% 63.6% 49.1% 52.0% 15.4 0.2 5.0
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
DET 0.060 52.5 96.0 29.0 11.6 40.5 21.6 12.2 5.8 7.1 20.4
AVG 0.500 41.0 98.7 29.9 11.1 41.1 21.3 15.1 4.6 7.2 22.2
OPP 0.940 29.5 91.8 29.3 11.9 41.2 20.1 14.7 3.5 6.4 20.3
AVGOPP 0.500 41.0 98.7 29.9 11.1 41.1 21.3 15.1 4.6 7.2 22.2
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
DET 45.4% 48.1% 34.4% 77.4% 48.8% 53.5% 79.1 15.9 24.2
AVG 45.8% 48.5% 35.8% 75.2% 49.6% 54.1% 79.7 16.9 26.1

Wins Produced
Expected* Actual Forecast**
52.5-29.5 53-29 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.