NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Alex Acker SG 7 20 .000 -3.1 0.00 21.6 4.8 2.4 0.0 2.4 4.8 0.0
Arron Afflalo SG 74 1234 .067 -1.0 1.73 14.1 5.2 1.7 1.7 0.5 1.1 5.6
Chauncey Billups PG 2 70 .175 2.3 0.25 17.1 6.9 10.3 2.7 0.7 2.1 2.1
Kwame Brown C 58 999 .102 0.1 2.11 11.7 13.9 1.5 2.4 1.2 1.2 6.6
Will Bynum PG 57 803 .023 -2.4 0.39 24.5 4.5 9.4 4.5 0.1 2.0 5.1
Richard Hamilton SG 67 2279 .057 -1.3 2.70 25.8 4.4 6.3 2.8 0.1 0.8 3.7
Walter Herrmann SF 59 630 .049 -1.5 0.65 17.1 8.2 1.7 1.3 0.3 0.5 3.3
Allen Iverson PG 54 1970 .050 -1.5 2.05 22.9 4.0 6.4 3.3 0.1 2.1 2.0
Amir Johnson PF 62 911 .182 2.6 3.45 11.4 12.2 1.1 1.7 3.2 1.1 9.0
Jason Maxiell C 78 1408 .193 2.9 5.65 15.4 11.0 0.8 1.5 2.1 0.9 5.4
Antonio McDyess PF 62 1866 .214 3.6 8.30 15.3 15.6 2.1 1.3 1.3 1.1 4.9
Tayshaun Prince SF 82 3057 .141 1.3 8.97 18.3 7.5 4.0 1.6 0.8 0.7 1.6
Walter Sharpe PF 8 20 -.348 -13.9 -0.15 19.2 7.2 0.0 0.0 4.8 0.0 7.2
Rodney Stuckey SG 79 2517 .052 -1.5 2.74 20.2 5.2 7.4 3.3 0.2 1.5 4.1
Rasheed Wallace C 66 2123 .050 -1.5 2.19 18.0 11.1 2.1 1.3 1.9 1.4 4.5
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Alex Acker 36.4% 57.1% 0.0% 50.0% 36.4% 37.9% 26.4 9.6 4.8
Arron Afflalo 43.7% 45.6% 40.2% 81.7% 50.8% 54.8% 11.7 4.2 2.8
Chauncey Billups 33.3% 35.7% 28.6% 90.0% 38.1% 49.2% 14.4 4.8 6.9
Kwame Brown 53.3% 53.3% 0.0% 51.6% 53.3% 54.6% 8.1 0.0 5.9
Will Bynum 45.6% 47.4% 15.8% 79.8% 46.1% 52.0% 20.4 1.1 7.1
Richard Hamilton 44.7% 46.4% 36.8% 84.8% 48.0% 52.9% 22.0 4.0 5.5
Walter Herrmann 39.6% 47.1% 34.2% 76.0% 49.5% 51.4% 15.8 9.1 1.9
Allen Iverson 41.6% 43.2% 28.6% 78.6% 43.2% 50.2% 19.3 2.2 7.8
Amir Johnson 59.5% 59.5% 0.0% 65.7% 59.5% 60.8% 8.6 0.0 1.8
Jason Maxiell 57.5% 57.7% 0.0% 53.2% 57.5% 58.0% 10.9 0.0 5.4
Antonio McDyess 51.0% 51.0% 0.0% 69.8% 51.0% 52.9% 13.5 0.0 2.2
Tayshaun Prince 45.0% 45.8% 39.7% 77.8% 47.7% 51.6% 16.0 2.2 3.8
Walter Sharpe 36.4% 44.4% 0.0% 0.0% 36.4% 33.7% 26.4 4.8 4.8
Rodney Stuckey 43.9% 45.3% 29.5% 80.3% 45.2% 50.8% 17.4 1.5 5.5
Rasheed Wallace 41.9% 47.1% 35.4% 77.2% 49.8% 52.0% 16.3 7.2 2.3
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
DET 0.107 41.0 94.2 29.9 11.6 41.4 20.6 11.9 4.6 6.0 20.9
AVG 0.500 41.0 100.0 30.3 11.0 41.3 21.0 14.0 4.8 7.3 21.0
OPP 0.893 41.0 94.7 29.9 10.5 40.4 20.1 11.8 4.2 5.6 19.7
AVGOPP 0.500 41.0 100.0 30.3 11.0 41.3 21.0 14.0 4.8 7.3 21.0
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
DET 45.4% 47.5% 34.9% 75.1% 48.3% 52.4% 80.0 13.2 22.5
AVG 45.9% 48.5% 36.7% 77.1% 50.0% 54.4% 80.9 18.1 24.7

Wins Produced
Expected* Actual Forecast**
41.0-41.0 39-43 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.