NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Rick Brunson PG 15 66 -.005 -3.2 -0.01 14.5 8.7 5.1 5.8 0.0 0.7 3.6
Marcus Camby C 63 2127 .301 6.3 13.33 17.1 16.3 1.2 1.4 3.1 1.5 4.6
Chris Childs PG 51 1309 .104 0.2 2.84 9.0 5.1 8.7 3.6 0.3 1.4 5.9
Othella Harrington C 30 548 .060 -1.2 0.68 16.2 8.7 1.8 3.6 1.7 1.3 8.8
Allan Houston SG 78 2858 .091 -0.2 5.42 24.5 4.8 2.9 2.7 0.2 0.9 3.2
Mark Jackson PG 29 786 .149 1.6 2.45 10.4 7.3 10.0 3.5 0.0 1.3 3.4
Larry Johnson PF 65 2105 .044 -1.7 1.93 14.7 8.3 2.9 2.2 0.7 0.9 4.8
Travis Knight C 45 256 -.157 -8.0 -0.84 5.4 9.9 0.9 1.9 2.1 0.9 8.8
Luc Longley C 25 301 -.071 -5.3 -0.45 7.8 10.5 1.1 3.5 1.4 0.5 8.1
Lavor Postell SG 26 169 -.026 -3.9 -0.09 16.8 7.1 1.4 4.8 0.6 1.1 3.4
Glen Rice SF 75 2212 .110 0.3 5.07 19.5 6.7 1.9 2.1 0.3 0.9 3.9
Felton Spencer C 18 113 .145 1.4 0.34 16.6 14.9 0.8 4.7 0.8 0.8 10.2
Latrell Sprewell SF 77 3017 .059 -1.2 3.73 21.7 5.5 4.3 3.5 0.4 1.7 2.5
Erick Strickland PG 28 421 .005 -2.9 0.05 13.7 5.9 3.3 2.4 0.1 2.5 5.2
Kurt Thomas C 77 2125 .146 1.5 6.48 18.1 11.6 1.4 2.2 1.6 1.4 6.5
Charlie Ward PG 61 1492 .181 2.6 5.63 13.9 5.1 8.8 3.6 0.3 2.3 4.2
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Rick Brunson 42.1% 50.0% 0.0% 66.7% 42.1% 46.2% 13.8 2.2 4.4
Marcus Camby 52.4% 53.0% 12.5% 66.7% 52.5% 55.9% 13.1 0.2 5.1
Chris Childs 41.9% 46.2% 31.2% 84.8% 46.4% 50.6% 8.1 2.3 1.7
Othella Harrington 55.4% 55.4% 0.0% 72.9% 55.4% 60.9% 10.6 0.0 6.1
Allan Houston 44.9% 46.7% 38.1% 90.9% 48.8% 54.3% 20.3 4.2 5.2
Mark Jackson 41.1% 44.2% 31.0% 52.9% 44.7% 45.3% 11.0 2.6 1.0
Larry Johnson 41.1% 44.8% 31.3% 79.7% 45.4% 49.3% 13.6 3.7 2.9
Travis Knight 18.9% 19.2% 0.0% 50.0% 18.9% 23.8% 9.9 0.2 3.4
Luc Longley 33.3% 33.3% 0.0% 76.5% 33.3% 39.9% 8.6 0.0 2.7
Lavor Postell 31.5% 32.6% 27.3% 81.5% 34.3% 44.8% 15.3 3.1 7.7
Glen Rice 44.0% 46.0% 38.9% 85.2% 49.5% 54.0% 16.3 4.6 3.9
Felton Spencer 60.0% 60.0% 0.0% 60.0% 60.0% 62.9% 8.5 0.0 10.6
Latrell Sprewell 43.0% 44.6% 30.4% 78.3% 44.7% 49.7% 19.4 2.1 5.6
Erick Strickland 30.5% 28.6% 34.0% 85.7% 36.6% 41.9% 14.9 5.4 3.2
Kurt Thomas 51.1% 51.2% 33.3% 81.4% 51.2% 56.6% 13.9 0.1 4.7
Charlie Ward 41.6% 44.4% 38.3% 80.0% 50.5% 53.6% 12.0 5.6 2.3
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
NYK 0.374 46.6 88.7 30.8 9.4 40.2 18.5 14.5 4.2 6.6 22.7
AVG 0.500 41.0 94.9 30.5 12.0 42.5 21.7 15.0 5.3 7.8 22.4
OPP 0.626 35.4 86.1 29.5 10.6 40.1 19.2 14.8 4.1 7.3 21.4
AVGOPP 0.500 41.0 94.7 30.5 12.0 42.4 21.7 15.1 5.2 7.8 22.4
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
NYK 44.4% 46.5% 35.1% 79.6% 47.6% 52.3% 75.6 13.6 21.1
AVG 44.3% 46.1% 35.4% 74.7% 47.3% 51.8% 80.6 13.8 24.9

Wins Produced
Expected* Actual Forecast**
46.6-35.4 48-34 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?