NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Will Bynum PG 36 514 -.103 -6.3 -1.10 19.1 5.2 6.2 5.0 0.2 2.1 5.7
Austin Daye PF 41 603 -.176 -8.5 -2.21 15.4 7.2 2.6 3.2 1.7 1.8 4.9
Ben Gordon SG 52 1398 .035 -2.0 1.03 22.2 4.2 4.4 3.9 0.4 1.2 3.9
Jonas Jerebko SF 64 1468 .149 1.5 4.55 18.2 10.1 1.4 2.2 0.7 1.3 5.3
Brandon Knight G 66 2128 .016 -2.6 0.71 19.1 4.8 5.7 3.9 0.2 1.1 3.5
Vernon Macklin PF 23 135 .256 4.9 0.72 16.4 12.1 1.8 1.1 1.4 1.4 3.2
Jason Maxiell PF 65 1466 .072 -0.9 2.19 13.9 10.9 1.3 2.3 1.6 1.0 4.9
Greg Monroe C 66 2082 .194 2.9 8.41 23.4 14.7 3.5 3.7 1.1 1.9 4.1
Tayshaun Prince SF 63 2087 .047 -1.6 2.05 18.4 6.5 3.5 1.7 0.8 0.6 1.8
Walker Russell G 28 357 -.047 -4.5 -0.35 11.3 3.5 7.8 4.4 0.1 2.4 3.9
Rodney Stuckey PG 55 1643 .086 -0.4 2.96 23.7 4.1 6.1 3.1 0.3 1.3 3.6
Charlie Villanueva PF 13 180 .017 -2.6 0.06 24.3 12.8 1.6 1.9 1.3 1.9 6.7
Ben Wallace C 62 980 .202 3.2 4.13 4.2 13.2 2.1 1.7 2.5 2.3 2.9
Damien Wilkins SF 60 922 .024 -2.3 0.47 10.0 5.2 2.3 1.6 0.7 1.5 4.4
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Will Bynum 38.1% 40.6% 24.1% 76.6% 39.9% 45.9% 18.1 2.7 6.0
Austin Daye 32.2% 36.4% 21.0% 81.4% 35.0% 39.4% 18.1 4.9 3.4
Ben Gordon 44.2% 44.6% 42.9% 86.0% 50.1% 54.9% 18.2 5.0 4.7
Jonas Jerebko 46.8% 51.9% 30.2% 80.6% 50.3% 54.8% 14.8 3.5 4.1
Brandon Knight 41.5% 43.4% 38.0% 75.9% 48.3% 51.1% 17.3 6.2 3.1
Vernon Macklin 54.3% 54.3% 0.0% 57.1% 54.3% 55.9% 12.4 0.0 5.0
Jason Maxiell 47.8% 48.0% 0.0% 54.7% 47.8% 49.3% 12.5 0.1 3.5
Greg Monroe 52.1% 52.2% 0.0% 73.9% 52.1% 56.3% 18.0 0.0 6.3
Tayshaun Prince 42.2% 43.1% 35.6% 77.4% 44.5% 47.1% 18.3 2.4 2.6
Walker Russell 34.4% 34.9% 30.8% 63.6% 36.5% 39.7% 12.9 1.7 3.0
Rodney Stuckey 42.9% 45.2% 31.7% 83.4% 45.6% 55.0% 17.4 3.0 9.3
Charlie Villanueva 38.5% 43.5% 33.3% 85.7% 46.7% 48.4% 24.3 12.0 1.9
Ben Wallace 39.5% 40.2% 25.0% 34.0% 40.1% 39.8% 4.2 0.2 2.3
Damien Wilkins 39.4% 40.6% 30.4% 63.0% 41.2% 44.5% 10.0 1.2 2.8
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
DET 0.356 23.6 90.9 28.5 11.7 40.3 18.7 15.7 4.2 7.0 19.6
AVG 0.500 33.0 96.3 30.8 11.4 42.2 21.0 14.6 5.1 7.7 19.6
OPP 0.644 42.4 95.7 30.1 10.7 40.7 22.5 14.5 5.3 8.5 19.4
AVGOPP 0.500 33.0 96.3 30.8 11.4 42.2 21.0 14.6 5.1 7.7 19.6
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
DET 43.8% 45.7% 34.6% 75.2% 46.8% 51.0% 79.3 13.9 22.1
AVG 44.8% 47.7% 34.9% 75.2% 48.7% 52.7% 81.4 18.4 22.5

Wins Produced
Expected* Actual Forecast**
23.6-42.4 25-41 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.