NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Trevor Ariza SF 36 709 .124 0.8 1.83 11.2 9.3 3.1 3.1 0.6 2.9 5.3
Matt Barnes PF 6 93 .001 -3.1 0.00 13.4 12.4 3.1 3.1 0.0 2.1 4.1
Jackie Butler C 55 740 .049 -1.5 0.76 18.9 11.9 1.6 4.0 2.0 1.1 8.2
Jamal Crawford SG 79 2555 .117 0.6 6.24 21.2 4.7 5.7 3.3 0.3 1.6 2.8
Eddy Curry C 72 1866 .029 -2.2 1.15 25.2 11.1 0.5 4.6 1.4 0.7 6.1
Antonio Davis PF 36 749 .038 -1.9 0.60 11.6 11.0 0.9 2.8 0.6 1.3 6.3
Steve Francis PG 24 659 .047 -1.6 0.64 18.8 5.2 6.0 4.2 0.4 1.7 4.5
Channing Frye C 65 1572 .030 -2.2 0.97 24.5 11.4 1.6 3.0 1.4 0.9 6.1
Anfernee Hardaway SG 4 72 -.068 -5.2 -0.10 6.7 6.7 5.3 4.0 0.0 1.3 4.7
Jerome James C 44 406 -.204 -9.4 -1.72 16.2 10.8 1.4 6.0 2.7 0.4 12.3
David Lee PF 67 1129 .214 3.6 5.02 14.7 12.9 1.8 2.2 0.9 1.3 5.3
Stephon Marbury PG 60 2193 .075 -0.7 3.43 21.4 3.8 8.4 3.4 0.1 1.4 3.1
Quentin Richardson SG 55 1442 .053 -1.4 1.60 15.0 7.7 2.9 1.9 0.2 1.3 4.5
Nate Robinson PG 72 1544 -.012 -3.4 -0.38 20.8 5.2 4.6 3.5 0.0 1.8 6.2
Jalen Rose SG 26 747 .107 0.2 1.66 21.2 5.3 4.4 3.2 0.2 0.6 3.5
Malik Rose SF 72 1118 .083 -0.5 1.93 13.7 11.1 2.9 3.4 0.6 1.8 6.2
Maurice Taylor PF 67 1210 -.103 -6.3 -2.59 16.7 9.1 2.1 4.1 0.6 0.8 7.0
Ime Udoka SF 8 114 .026 -2.3 0.06 9.3 7.2 2.5 0.8 0.0 0.4 3.4
Qyntel Woods SF 49 1013 .145 1.4 3.05 15.6 9.0 2.2 2.9 0.6 1.5 4.5
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Trevor Ariza 41.8% 42.0% 33.3% 54.5% 42.1% 45.9% 9.9 0.2 5.2
Matt Barnes 36.7% 38.5% 25.0% 75.0% 38.3% 40.9% 15.5 2.1 2.1
Jackie Butler 54.4% 54.4% 0.0% 75.3% 54.4% 58.7% 13.9 0.0 5.0
Jamal Crawford 41.6% 45.2% 34.5% 82.6% 47.4% 54.4% 16.5 5.5 6.7
Eddy Curry 56.3% 56.3% 0.0% 63.2% 56.3% 60.4% 15.4 0.0 12.5
Antonio Davis 42.8% 43.0% 0.0% 73.8% 42.8% 48.7% 10.2 0.1 3.9
Steve Francis 44.2% 43.5% 53.8% 76.1% 46.1% 54.2% 13.8 0.9 7.9
Channing Frye 47.7% 47.9% 33.3% 82.5% 47.9% 54.1% 19.5 0.3 7.0
Anfernee Hardaway 28.6% 30.8% 0.0% 100.0% 28.6% 33.6% 9.3 0.7 1.3
Jerome James 46.3% 46.3% 0.0% 62.5% 46.3% 49.4% 14.3 0.0 4.7
David Lee 59.6% 59.6% 0.0% 57.7% 59.6% 60.7% 9.8 0.0 5.2
Stephon Marbury 45.1% 47.2% 31.7% 75.5% 47.2% 53.2% 16.9 2.3 7.1
Quentin Richardson 35.5% 36.5% 34.0% 67.0% 42.5% 45.2% 15.3 6.3 3.0
Nate Robinson 40.7% 41.1% 39.7% 75.2% 45.8% 51.2% 17.6 4.5 6.3
Jalen Rose 46.0% 45.1% 49.1% 81.2% 51.9% 58.2% 15.4 3.7 6.5
Malik Rose 37.4% 37.1% 100.0% 78.1% 37.5% 46.6% 12.1 0.0 5.9
Maurice Taylor 46.8% 46.9% 0.0% 69.9% 46.8% 49.6% 15.4 0.0 3.3
Ime Udoka 37.5% 38.1% 33.3% 50.0% 39.6% 41.3% 10.1 1.3 2.5
Qyntel Woods 50.8% 55.2% 36.7% 64.5% 55.1% 57.2% 12.0 2.8 3.6
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
NYK 0.096 24.1 95.6 28.8 12.6 41.4 17.9 17.7 3.3 6.8 26.3
AVG 0.500 41.0 97.0 29.8 11.2 41.0 20.6 14.4 4.7 7.2 22.8
OPP 0.904 57.9 102.0 27.8 10.8 38.6 21.3 14.1 5.3 8.2 25.4
AVGOPP 0.500 41.0 97.0 29.8 11.2 41.0 20.6 14.4 4.7 7.2 22.8
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
NYK 45.5% 47.0% 36.2% 72.6% 48.1% 53.4% 75.7 10.8 31.5
AVG 45.4% 47.8% 35.8% 74.5% 49.0% 53.6% 79.0 16.0 26.3

Wins Produced
Expected* Actual Forecast**
24.1-57.9 23-59 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 New York Knicks

The 10 Best 2012-13 Contracts

The other day I did the ten worst contracts of the season. It was a fairly big hit, and as usual, not everyone agreed with my picks. I expect more of the same today, as I pick the ten best.

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.

Framing Linsanity

Regulars readers of my blog, and the Wages of Wins, will know that I am a big proponent of data-driven analysis because the human mind is known to fall victim to lots of cognitive biases. Worse, the awareness of cognitive bias does not protect a person from falling victim to them. Two very common bias that I see running rampant the last couple of days are framing and anchoring. Framing is extremely common in political rhetoric precisely because it is extremely effective. And I use them all the time in my rhetoric. I can tell you this with no trepidation because I know that even though I am telling you this, the next time you read something that makes sense to you, the knowledge that I might just be abusing a cognitive bias will not protect you.

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?