NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Brandon Armstrong SG 17 69 -.190 -9.0 -0.27 16.7 2.8 1.4 3.5 0.7 2.1 5.6
Chris Childs PG 12 106 .014 -2.6 0.03 6.8 2.3 7.2 2.7 0.5 3.6 7.7
Jason Collins C 81 1900 .058 -1.3 2.32 11.6 9.3 2.2 2.1 1.1 1.2 6.4
Lucious Harris SG 77 1973 .118 0.6 4.84 19.3 5.6 3.8 1.7 0.2 1.3 2.3
Richard Jefferson SF 80 2879 .201 3.2 12.07 20.7 8.6 3.4 2.6 0.7 1.3 3.6
Anthony Johnson PG 66 842 .078 -0.6 1.37 15.4 4.4 4.9 2.3 0.3 2.1 5.3
Jason Kidd PG 80 2989 .258 4.9 16.05 24.0 8.1 11.4 4.8 0.4 2.9 2.0
Kerry Kittles SG 65 1951 .257 4.9 10.43 20.9 6.2 4.2 1.4 0.7 2.5 2.7
Donny Marshall SF 3 6 -.723 -25.6 -0.09 0.0 24.0 0.0 8.0 0.0 0.0 0.0
Kenyon Martin PF 77 2628 .072 -0.9 3.92 23.4 11.7 3.4 3.5 1.3 1.8 5.4
Dikembe Mutombo C 24 514 .079 -0.6 0.84 12.9 14.3 1.8 3.2 3.5 0.4 5.0
Rodney Rogers SF 68 1303 .075 -0.7 2.03 17.6 9.7 3.9 3.4 1.1 1.8 7.1
Brian Scalabrine PF 59 724 .048 -1.6 0.72 11.9 9.3 3.0 3.0 1.2 1.1 5.1
Tamar Slay SG 36 274 -.050 -4.6 -0.29 16.1 5.4 2.5 3.5 0.5 2.5 5.4
Aaron Williams C 81 1597 .041 -1.8 1.36 15.0 9.9 2.6 2.6 1.7 0.8 6.2
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Brandon Armstrong 33.3% 38.1% 16.7% 83.3% 35.2% 40.5% 18.8 4.2 4.2
Chris Childs 30.0% 35.7% 16.7% 66.7% 32.5% 35.2% 9.1 2.7 1.4
Jason Collins 41.4% 41.9% 0.0% 76.3% 41.4% 52.1% 8.5 0.1 6.0
Lucious Harris 41.3% 42.9% 34.6% 80.4% 44.6% 49.4% 17.5 3.3 4.6
Richard Jefferson 50.1% 50.7% 25.0% 74.3% 50.4% 56.3% 15.2 0.4 7.3
Anthony Johnson 44.6% 45.9% 37.1% 68.9% 47.4% 51.2% 13.2 2.0 4.2
Jason Kidd 41.4% 44.5% 34.1% 84.1% 46.5% 52.6% 20.0 5.9 6.5
Kerry Kittles 46.7% 51.6% 35.6% 78.5% 52.2% 55.0% 17.5 5.4 3.3
Donny Marshall 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 24.0 8.0 0.0
Kenyon Martin 47.0% 48.1% 20.9% 65.3% 47.5% 51.1% 19.8 0.8 7.2
Dikembe Mutombo 37.4% 37.4% 0.0% 72.7% 37.4% 44.5% 12.2 0.0 5.1
Rodney Rogers 40.2% 43.0% 33.3% 75.6% 45.1% 48.3% 16.8 4.9 3.3
Brian Scalabrine 40.2% 41.5% 35.9% 83.3% 44.4% 48.7% 11.2 2.6 2.4
Tamar Slay 37.9% 41.0% 28.0% 70.0% 41.3% 42.8% 18.0 4.4 1.8
Aaron Williams 45.3% 45.4% 0.0% 78.5% 45.3% 50.4% 13.2 0.0 3.9
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
BRK -0.044 55.3 95.4 30.8 12.1 42.9 23.0 14.8 4.6 8.7 21.6
AVG 0.500 41.0 95.1 30.3 12.0 42.3 21.5 14.9 5.0 7.9 21.8
OPP 1.044 26.7 90.1 30.0 11.4 41.4 19.6 16.6 5.2 8.5 22.9
AVGOPP 0.500 41.0 95.1 30.3 12.0 42.3 21.5 14.9 5.0 7.9 21.8
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
BRK 44.1% 46.2% 33.2% 75.7% 46.8% 51.8% 80.3 12.7 26.8
AVG 44.2% 46.3% 34.9% 75.8% 47.4% 51.9% 80.8 14.7 24.4

Wins Produced
Expected* Actual Forecast**
55.3-26.7 49-33 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 Brooklyn Nets

You're Gonna Be Surprised: The Nets

Instead of doing a season preview for every team in the league*, I plan to do a few articles this year on a few teams that I think are going to surprise a lot of folks. Unfortunately, the surprise isn't always going to be a good one. This is going to be the case for the Brooklyn Nets, who have used the words 'contender' and 'championship' a lot. I think those fans/analysts are going to be disappointed surprised.

The 10 Worst 2012-13 Contracts

The dust has (almost) settled on the 2012 offseason. I think it's time for us to look at the best and worst contracts of this season. It seems like every year, several teams are looking to unload "bad" contracts. We often forget that teams weren't just magically saddled with those bad contracts; somebody volunteered to pay them.

The NBA Geek's Amnesty Guesses, Part 2

As with part 1 (which you can read here), I'm calling them guesses, not predictions, because this way if I'm completely wrong, I won't look as stupid.  Will I do something as crazy as amnestying Kobe freaking Bryant again today?