NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Carmelo Anthony SF 27 978 .125 0.8 2.54 34.9 8.9 4.0 3.1 0.7 1.2 4.4
Renaldo Balkman SF 3 19 -.204 -9.4 -0.08 7.6 7.6 0.0 2.5 0.0 2.5 10.1
Chauncey Billups PG 21 665 .116 0.5 1.60 26.6 4.7 8.4 3.5 0.1 1.4 3.8
Derrick Brown SF 8 89 .209 3.4 0.39 18.3 8.1 2.2 3.8 1.1 2.2 5.9
Anthony Carter PG 19 309 .091 -0.2 0.59 13.0 6.1 6.8 3.9 0.8 2.8 4.7
Wilson Chandler SF 51 1756 .099 0.0 3.63 22.9 8.3 2.4 1.8 1.9 0.9 4.2
Toney Douglas SG 81 1970 .113 0.4 4.66 20.9 5.9 5.9 2.2 0.1 2.2 4.3
Raymond Felton PG 54 2079 .119 0.6 5.16 21.3 4.5 11.2 4.1 0.3 2.2 2.6
Landry Fields SG 82 2540 .219 3.7 11.59 15.1 9.8 2.9 2.0 0.3 1.5 2.2
Danilo Gallinari PF 48 1673 .105 0.2 3.65 21.9 6.6 2.4 1.7 0.5 1.1 3.4
Jared Jeffries PF 24 463 .078 -0.6 0.75 4.9 8.4 2.6 1.8 1.5 2.5 5.6
Roger Mason SG 26 319 .049 -1.6 0.33 11.3 6.5 3.2 0.9 0.3 0.9 3.8
Timofey Mozgov C 34 457 -.032 -4.1 -0.30 14.2 10.9 1.6 3.4 2.4 1.5 8.0
Anthony Randolph PF 17 130 -.097 -6.1 -0.26 12.9 14.8 2.6 3.7 3.0 1.5 5.5
Andy Rautins SG 5 24 -.331 -13.4 -0.17 16.0 2.0 6.0 14.0 0.0 2.0 0.0
Amare Stoudemire C 78 2871 .070 -0.9 4.17 33.0 10.6 3.4 4.2 2.5 1.2 4.6
Ronny Turiaf C 64 1139 .128 0.9 3.04 11.3 8.7 3.9 1.7 3.1 1.5 6.7
Bill Walker SF 61 784 .100 0.0 1.63 18.2 7.5 2.1 2.3 0.4 1.3 5.0
Shelden Williams C 18 201 .184 2.6 0.77 15.8 11.9 2.9 1.4 1.0 1.2 8.1
Shawne Williams PF 64 1322 .116 0.5 3.21 16.5 8.7 1.7 1.7 1.9 1.4 6.0
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Carmelo Anthony 46.1% 47.2% 42.4% 87.2% 51.0% 57.5% 26.3 6.1 9.2
Renaldo Balkman 25.0% 0.0% 50.0% 0.0% 37.5% 37.5% 10.1 5.1 0.0
Chauncey Billups 40.3% 47.4% 32.8% 90.2% 48.3% 58.2% 18.6 9.0 9.5
Derrick Brown 66.7% 64.3% 75.0% 53.8% 75.0% 71.7% 9.7 2.2 7.0
Anthony Carter 46.1% 56.2% 28.6% 100.0% 51.3% 53.4% 11.8 4.3 0.9
Wilson Chandler 46.1% 51.8% 35.1% 80.7% 52.1% 54.8% 19.5 6.7 3.3
Toney Douglas 41.6% 46.0% 37.3% 79.4% 51.1% 53.4% 18.4 9.3 2.6
Raymond Felton 42.3% 47.1% 32.8% 86.7% 47.8% 52.4% 18.5 6.2 4.2
Landry Fields 49.7% 55.6% 39.3% 76.9% 56.8% 59.8% 11.4 4.1 2.8
Danilo Gallinari 41.5% 47.4% 34.7% 89.3% 49.6% 60.0% 14.6 6.9 8.3
Jared Jeffries 38.0% 38.3% 33.3% 42.1% 39.0% 40.3% 5.2 0.3 2.0
Roger Mason 33.8% 30.3% 36.4% 70.0% 44.2% 46.1% 11.6 6.6 1.5
Timofey Mozgov 46.4% 46.4% 0.0% 70.5% 46.4% 51.4% 11.8 0.0 4.6
Anthony Randolph 31.1% 31.7% 25.0% 50.0% 32.2% 34.8% 16.6 1.5 4.4
Andy Rautins 42.9% 66.7% 25.0% 50.0% 50.0% 50.8% 14.0 8.0 4.0
Amare Stoudemire 50.2% 50.3% 43.5% 79.2% 50.5% 56.5% 24.8 0.4 10.0
Ronny Turiaf 63.2% 63.2% 0.0% 62.2% 63.2% 64.8% 6.9 0.0 4.1
Bill Walker 44.1% 54.2% 38.6% 70.5% 56.6% 58.3% 14.4 9.4 2.7
Shelden Williams 53.8% 53.8% 0.0% 82.8% 53.8% 63.8% 9.3 0.0 6.9
Shawne Williams 42.6% 45.7% 40.1% 83.7% 53.6% 55.8% 14.0 7.7 1.8
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
NYK 0.241 46.9 106.5 30.1 10.3 40.4 21.4 13.3 5.8 7.6 21.3
AVG 0.500 41.0 99.6 30.5 10.9 41.4 21.5 13.6 4.9 7.3 20.7
OPP 0.759 35.1 105.7 32.3 11.8 44.0 20.5 14.3 4.4 7.1 20.8
AVGOPP 0.500 41.0 99.6 30.5 10.9 41.4 21.5 13.6 4.9 7.3 20.7
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
NYK 45.7% 49.6% 36.8% 80.9% 51.3% 56.1% 83.7 25.4 25.5
AVG 45.9% 48.7% 35.9% 76.3% 49.8% 54.1% 81.2 18.0 24.4

Wins Produced
Expected* Actual Forecast**
46.9-35.1 42-40 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?