NAME POS GP MIN WP48 PoP48 WINS PTS REB AST TO BLK STL PF
Shandon Anderson SG 1 20 -.202 -9.3 -0.08 0.0 2.4 0.0 2.4 0.0 0.0 4.8
Trevor Ariza SF 80 1382 .119 0.6 3.44 16.3 8.4 3.0 2.5 0.6 2.4 5.2
Vin Baker C 24 191 -.180 -8.7 -0.71 8.3 9.3 2.3 3.8 1.0 0.5 7.8
Jamison Brewer PG 18 185 -.045 -4.5 -0.17 8.0 5.7 3.1 3.4 0.3 2.1 2.9
Jackie Butler C 3 5 1.308 37.6 0.14 96.0 0.0 0.0 9.6 0.0 9.6 0.0
Jamal Crawford SG 70 2688 .079 -0.6 4.41 22.2 3.6 5.4 2.6 0.3 1.6 2.4
Anfernee Hardaway SG 37 894 .017 -2.5 0.32 14.4 4.8 4.0 2.7 0.2 1.5 4.2
Allan Houston SG 20 532 .004 -3.0 0.04 21.4 2.1 3.8 1.9 0.2 0.7 3.6
Jermaine Jackson SG 21 230 .104 0.1 0.50 8.8 4.8 5.0 2.1 0.2 1.5 5.4
Stephon Marbury PG 82 3281 .184 2.6 12.55 26.1 3.6 9.8 3.4 0.1 1.8 2.7
Nazr Mohammed C 54 1519 .138 1.2 4.38 18.6 13.9 0.8 2.6 1.7 1.7 5.4
Moochie Norris PG 32 321 -.080 -5.6 -0.54 12.3 6.3 5.1 3.7 0.3 2.5 6.3
Malik Rose PF 26 613 -.066 -5.1 -0.84 17.0 8.9 1.4 3.6 0.5 1.2 6.6
Bruno Sundov C 21 73 -.478 -18.0 -0.73 16.4 8.5 1.3 3.9 1.3 1.3 10.5
Mike Sweetney PF 77 1509 .131 1.0 4.11 20.7 13.3 1.4 3.4 0.9 0.9 7.1
Maurice Taylor PF 27 431 -.035 -4.2 -0.32 19.6 10.4 1.6 3.5 0.9 1.2 6.3
Kurt Thomas C 80 2855 .058 -1.3 3.44 15.4 14.0 2.7 1.7 1.3 1.2 5.2
Tim Thomas SF 71 1940 -.001 -3.1 -0.04 21.1 5.9 2.7 2.8 0.4 1.0 5.5
Jerome Williams PF 79 1211 .138 1.2 3.49 14.2 11.2 1.6 2.6 0.4 2.2 6.1
Name FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
Shandon Anderson 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 4.8 2.4 0.0
Trevor Ariza 44.2% 44.9% 23.1% 69.5% 44.6% 50.3% 13.5 0.5 6.0
Vin Baker 34.2% 35.1% 0.0% 46.7% 34.2% 37.0% 9.5 0.3 3.8
Jamison Brewer 29.7% 36.4% 20.0% 46.2% 33.8% 36.3% 9.6 3.9 3.4
Jackie Butler 100.0% 100.0% 0.0% 100.0% 100.0% 102.5% 38.4 0.0 19.2
Jamal Crawford 39.8% 43.1% 36.1% 84.3% 48.3% 52.1% 19.6 9.1 3.9
Anfernee Hardaway 42.3% 45.2% 30.0% 73.9% 45.2% 48.0% 14.0 2.7 2.5
Allan Houston 41.5% 43.2% 38.8% 83.7% 49.0% 52.9% 18.5 7.2 3.9
Jermaine Jackson 51.5% 54.8% 0.0% 61.5% 51.5% 54.2% 6.9 0.4 2.7
Stephon Marbury 46.2% 49.7% 35.4% 83.4% 50.6% 57.5% 19.1 4.8 8.0
Nazr Mohammed 50.9% 51.0% 0.0% 70.8% 50.9% 55.0% 14.5 0.0 5.4
Moochie Norris 34.4% 39.5% 0.0% 81.8% 34.4% 39.9% 13.9 1.8 3.3
Malik Rose 42.5% 43.5% 16.7% 78.2% 42.8% 51.1% 13.6 0.5 6.8
Bruno Sundov 29.7% 29.4% 33.3% 100.0% 31.1% 33.0% 24.3 2.0 1.3
Mike Sweetney 53.1% 53.3% 0.0% 74.9% 53.1% 59.2% 14.2 0.0 7.5
Maurice Taylor 49.4% 49.7% 0.0% 55.8% 49.4% 50.9% 17.2 0.1 4.8
Kurt Thomas 47.1% 47.0% 50.0% 78.6% 47.2% 48.8% 15.1 0.1 1.4
Tim Thomas 43.9% 45.1% 40.9% 78.6% 49.8% 53.6% 17.8 5.1 4.3
Jerome Williams 50.2% 51.3% 0.0% 66.9% 50.2% 56.3% 9.6 0.2 6.8
  WP48 WINS PTS DRB ORB TRB AST TO BLK STL PF
NYK 0.013 33.4 97.3 29.2 11.8 41.0 20.3 14.7 3.2 7.7 23.7
AVG 0.500 41.0 97.2 29.8 12.0 41.9 21.3 14.5 4.9 7.5 22.6
OPP 0.987 48.6 99.7 29.9 11.8 41.7 20.7 14.6 4.7 7.3 21.2
AVGOPP 0.500 41.0 97.2 29.8 12.0 41.9 21.3 14.5 4.9 7.5 22.6
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA FTA
NYK 45.1% 47.3% 35.6% 76.7% 48.5% 53.1% 80.5 15.1 25.1
AVG 44.7% 47.0% 35.6% 75.6% 48.2% 52.9% 80.3 15.8 26.1

Wins Produced
Expected* Actual Forecast**
33.4-48.6 33-49 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?