NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Carmelo Anthony SF 55 1876 .104 0.1 4.05 31.9 8.8 5.1 3.7 0.6 1.6 4.0
Renaldo Balkman SF 14 115 .207 3.4 0.50 17.5 10.9 2.1 2.5 1.3 1.7 5.8
Mike Bibby PG 39 557 .066 -1.0 0.77 8.9 5.1 6.9 1.7 0.3 1.8 3.9
Tyson Chandler C 62 2061 .311 6.6 13.34 16.3 14.3 1.3 2.4 2.1 1.3 4.3
Baron Davis PG 29 595 .003 -3.0 0.03 14.4 4.5 10.9 6.1 0.2 2.7 4.9
Toney Douglas SG 38 656 -.117 -6.7 -1.60 17.3 5.3 5.6 4.1 0.1 2.1 4.0
Landry Fields SG 66 1894 .170 2.2 6.71 14.7 7.0 4.3 2.6 0.4 2.0 2.5
Dan Gadzuric C 2 13 -.232 -10.3 -0.06 0.0 18.5 0.0 3.7 3.7 3.7 14.8
Josh Harrellson C 37 540 .145 1.4 1.63 14.4 12.8 1.0 1.8 1.8 2.0 4.3
Jared Jeffries PF 39 729 .124 0.8 1.88 11.2 10.0 1.7 1.9 1.6 1.9 5.9
Jerome Jordan C 21 108 .194 3.0 0.44 18.7 12.0 1.8 0.9 2.7 0.4 6.7
Jeremy Lin PG 35 940 .131 1.0 2.56 26.1 5.5 11.0 6.4 0.5 2.8 4.0
Steve Novak PF 54 1020 .143 1.4 3.04 22.4 4.9 0.6 1.0 0.4 0.8 2.8
Iman Shumpert PG 59 1705 .049 -1.6 1.74 15.8 5.2 4.6 3.1 0.2 2.8 4.9
J.R. Smith SG 35 967 .108 0.3 2.19 21.6 6.8 4.2 2.3 0.3 2.7 4.3
Amare Stoudemire C 47 1543 .036 -1.9 1.17 25.6 11.4 1.6 3.5 1.4 1.2 4.3
Bill Walker SF 32 620 .030 -2.1 0.39 14.6 6.2 2.9 2.7 0.5 1.5 6.5
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Carmelo Anthony 43.0% 45.4% 33.5% 80.4% 46.3% 52.5% 26.2 5.2 9.4
Renaldo Balkman 50.0% 60.9% 22.2% 72.7% 53.1% 57.0% 13.4 3.8 4.6
Mike Bibby 28.2% 20.5% 31.8% 75.0% 39.1% 40.4% 10.7 7.3 0.7
Tyson Chandler 67.9% 68.3% 0.0% 68.9% 67.9% 70.8% 8.3 0.0 7.3
Baron Davis 37.0% 42.4% 30.6% 66.7% 44.0% 45.7% 14.8 6.9 1.9
Toney Douglas 32.4% 38.7% 23.1% 84.6% 37.1% 39.3% 21.2 8.6 1.9
Landry Fields 46.0% 52.3% 25.6% 56.2% 49.0% 50.6% 13.0 3.1 3.5
Dan Gadzuric 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 7.4 0.0 7.4
Josh Harrellson 42.3% 47.8% 33.9% 61.5% 49.0% 50.5% 13.2 5.2 2.3
Jared Jeffries 41.0% 43.8% 18.8% 68.1% 42.0% 48.4% 9.5 1.1 4.7
Jerome Jordan 51.5% 51.5% 0.0% 80.0% 51.5% 56.1% 14.7 0.0 4.4
Jeremy Lin 44.6% 47.7% 32.0% 79.8% 47.8% 55.2% 19.6 3.8 9.3
Steve Novak 47.8% 50.9% 47.2% 84.6% 67.5% 68.4% 15.9 13.3 1.2
Iman Shumpert 40.1% 44.0% 30.6% 79.8% 44.6% 48.4% 15.0 4.4 3.1
J.R. Smith 40.7% 46.2% 34.7% 70.9% 49.0% 50.8% 20.1 9.6 2.7
Amare Stoudemire 48.3% 49.1% 23.8% 76.5% 48.7% 54.1% 20.3 0.7 7.6
Bill Walker 39.8% 55.2% 31.9% 85.0% 50.3% 52.6% 13.2 8.7 1.5
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
NYK 0.531 38.8 97.8 30.5 11.3 41.7 20.1 16.0 4.2 9.4 21.1
AVG 0.500 33.0 96.3 30.8 11.4 42.2 21.0 14.6 5.1 7.7 19.6
OPP 0.469 27.2 94.7 31.0 10.9 41.8 18.9 17.0 5.1 8.1 21.8
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
NYK 44.3% 48.7% 33.6% 74.1% 49.2% 53.3% 80.8 23.3 24.8
AVG 44.8% 47.7% 34.9% 75.2% 48.7% 52.7% 81.4 18.4 22.5

Wins Produced
Expected* Actual Forecast**
38.8-27.2 36-30 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?