NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Andre Drummond C 60 1243 .313 6.7 8.11 18.4 17.6 1.2 2.2 3.7 2.3 5.6
Viacheslav Kravtsov C 25 224 .094 -0.2 0.44 16.5 9.6 1.9 3.0 1.9 1.1 6.9
Corey Maggette F 18 257 -.148 -7.7 -0.79 17.7 4.7 3.5 3.2 0.4 1.1 7.8
Khris Middleton F 27 475 .008 -2.8 0.08 16.7 5.1 2.8 1.1 0.4 1.5 5.4
Kim English G 41 407 -.021 -3.7 -0.18 14.0 4.4 3.1 2.2 0.4 1.9 5.4
Greg Monroe PF 81 2688 .140 1.3 7.85 23.2 13.9 5.0 4.2 1.0 1.9 3.4
Charlie Villanueva PF 69 1092 .010 -2.8 0.24 20.5 10.6 2.4 1.7 1.7 1.4 4.2
Jason Maxiell PF 72 1788 .052 -1.5 1.93 13.4 11.0 1.4 2.2 2.6 0.9 4.6
Jose Calderon PG 28 887 .234 4.2 4.32 17.6 3.8 10.0 2.8 0.1 1.6 2.2
Will Bynum PG 65 1219 -.002 -3.1 -0.05 25.0 3.8 9.1 4.9 0.2 1.8 5.0
Brandon Knight PG 75 2365 -.014 -3.5 -0.67 20.3 5.0 6.1 4.2 0.2 1.2 3.2
Kyle Singler SF 82 2293 .050 -1.5 2.39 15.1 6.9 1.6 2.1 0.8 1.2 4.5
Jonas Jerebko SF 49 892 .148 1.5 2.75 20.3 10.0 2.3 2.3 0.4 2.0 4.8
Tayshaun Prince SF 45 1457 .072 -0.8 2.20 17.4 6.9 3.7 1.8 0.4 0.7 1.5
Austin Daye SF 24 348 .124 0.8 0.90 16.8 8.7 2.9 1.8 1.1 0.7 5.9
Rodney Stuckey SG 76 2171 .053 -1.4 2.39 19.4 4.7 6.0 3.0 0.4 1.1 2.8
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Andre Drummond 60.8% 60.9% 50.0% 37.1% 61.0% 57.8% 13.2 0.1 6.1
Viacheslav Kravtsov 71.7% 71.7% 0.0% 29.7% 71.7% 61.8% 9.9 0.0 7.9
Corey Maggette 35.5% 40.0% 23.8% 75.0% 38.8% 48.9% 14.2 3.9 9.0
Khris Middleton 44.0% 50.0% 31.1% 84.4% 48.9% 53.2% 14.2 4.5 3.2
Kim English 37.5% 45.2% 28.0% 72.4% 43.8% 47.7% 13.2 5.9 3.4
Greg Monroe 48.6% 48.8% 0.0% 68.9% 48.6% 52.7% 18.9 0.1 7.0
Charlie Villanueva 37.7% 41.5% 34.7% 55.1% 47.4% 48.1% 20.4 11.4 2.2
Jason Maxiell 44.6% 44.6% 0.0% 62.1% 44.6% 47.8% 12.3 0.0 3.9
Jose Calderon 52.7% 53.2% 52.0% 89.3% 63.5% 65.4% 12.8 5.3 1.5
Will Bynum 46.9% 49.4% 31.6% 80.9% 49.1% 53.2% 21.3 3.0 5.2
Brandon Knight 40.7% 43.0% 36.7% 73.3% 47.5% 51.1% 17.8 6.6 4.6
Kyle Singler 42.8% 46.4% 35.0% 80.6% 48.3% 51.7% 13.4 4.2 2.6
Jonas Jerebko 44.9% 50.2% 30.1% 77.3% 48.9% 53.1% 17.0 4.5 4.7
Tayshaun Prince 44.4% 44.5% 43.4% 79.6% 46.8% 50.2% 15.9 1.7 3.1
Austin Daye 44.3% 38.6% 52.5% 83.3% 55.2% 58.1% 13.4 5.5 2.5
Rodney Stuckey 40.6% 44.0% 30.2% 78.3% 44.3% 50.5% 16.5 4.0 6.0
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
DET 0.495 31.9 94.9 30.0 12.1 42.1 21.2 15.1 4.9 7.0 19.8
AVG 0.500 41.0 98.1 31.0 11.2 42.1 22.1 14.6 5.1 7.8 19.8
OPP 0.505 50.1 98.8 30.7 11.1 41.8 22.4 13.7 5.8 8.4 19.9
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
DET 44.9% 47.4% 35.6% 69.9% 48.7% 52.1% 81.0 17.6 22.8
AVG 45.3% 48.3% 35.9% 75.3% 49.6% 53.5% 82.0 20.0 22.2

Wins Produced
Expected* Actual Forecast**
31.9-50.1 29-53 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.