Pittsburgh
2012 Team Stats (18 games)
70.0
PPG
65.2
Opp
+4.8
Margin
46.6%
FG%
33.7%
3P%
68.0%
FT%
38.9
RPG
16.1
APG
14.2
TO
-
Est. poss./game
69.7
Adj PPG
61.7
Adj Opp PPG
#60
Scoring Rank
Model Outputs
2011-2012
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More โ | 1251 (#47) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1124 (#92) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1063 (#87) | HCA +101 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +8.6 (#60) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +10.4 (#41) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.647 (#100) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.819 (#60) | AdjNet +13.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.822 (#60) | AdjNet +13.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.674 (#60) | AdjO 69.7 | AdjD 61.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.649 (#48) | AdjO 69.0 | AdjD 62.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.723 (#62) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.718 (#60) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1139 (#83) | RD 81 | GP 39 |
2012 Schedule & Results
2012 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ashton Gibbs
|
G | 37 | 34.3 | 14.6 | 2.3 | 2.1 | 0.5 | 0.1 | 1.6 | 8.5 | 9.4 | 6 | 32 | 0.2 | 0.2 | 38.4 | 34.0 | 83.6 | 1.84 | 78.5 | 46.7 |
Travon Woodall
|
G | 27 | 30.9 | 11.9 | 3.1 | 6.1 | 0.9 | 0.1 | 3.2 | 4.3 | 14.7 | 47 | 23 | 2.0 | 2.8 | 44.4 | 39.7 | 86.4 | 2.96 | 126.7 | 54.3 |
Nasir Robinson
|
F | 38 | 29.1 | 10.6 | 6.6 | 2.1 | 0.6 | 0.2 | 2.1 | 5.6 | 12.4 | -52 | 34 | -1.5 | -2.2 | 59.6 | 33.3 | 53.2 | -2.55 | 81.6 | 59.9 |
Lamar Patterson
|
G | 36 | 28.4 | 9.6 | 5.3 | 3.6 | 1.1 | 0.3 | 1.7 | 5.0 | 13.1 | 22 | 32 | 0.7 | 1.0 | 40.3 | 39.1 | 72.5 | 2.82 | 84.8 | 47.2 |
J.J. Moore
|
F | 37 | 18.4 | 7.6 | 3.0 | 0.4 | 0.5 | 0.2 | 1.0 | 3.3 | 7.4 | 64 | 34 | 1.9 | 4.3 | 41.0 | 29.0 | 76.1 | 2.94 | 99.5 | 48.4 |
Talib Zanna
|
F | 38 | 19.1 | 6.1 | 5.4 | 0.3 | 0.3 | 0.4 | 0.7 | 2.6 | 9.3 | 21 | 34 | 0.6 | 1.3 | 56.0 | 0 | 59.6 | -1.69 | 94.8 | 56.0 |
Dante Taylor
|
F | 36 | 18.9 | 5.9 | 5.0 | 0.5 | 0.4 | 0.7 | 1.1 | 2.9 | 8.5 | -28 | 32 | -0.9 | -2.1 | 56.3 | 0.0 | 57.1 | -3.29 | 86.8 | 56.3 |
Khem Birch
|
F | 10 | 15.0 | 4.4 | 5.0 | 0.0 | 0.2 | 1.9 | 0.7 | 2.6 | 8.2 | 34 | 9 | 3.8 | 12.0 | 57.7 | 0 | 50.0 | 2.0 | 70.3 | 57.7 |
John Johnson
|
G | 38 | 13.9 | 4.2 | 0.7 | 1.2 | 0.3 | 0.0 | 0.9 | 2.3 | 3.1 | 54 | 34 | 1.6 | 4.7 | 39.3 | 40.0 | 83.3 | 2.86 | 79.3 | 51.7 |
Cameron Wright
|
G | 36 | 11.6 | 2.2 | 1.5 | 0.7 | 0.4 | 0.1 | 0.9 | 1.7 | 2.3 | -50 | 32 | -1.6 | -5.8 | 32.8 | 8.3 | 72.2 | -2.28 | 58.8 | 33.6 |
Nick Rivers
|
G | 8 | 1.6 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | 0.4 | -0.1 | - | - | - | - | 33.3 | 33.3 | 0 | -1.21 | 66.7 | 50.0 |
Malcolm Gilbert
|
C | 19 | 4.9 | 0.5 | 0.8 | 0.0 | 0.1 | 0.3 | 0.2 | 0.1 | 1.4 | 30 | 14 | 2.1 | 17.6 | 100.0 | 0 | 0 | 1.1 | 225.0 | 100.0 |
Isaiah Epps
|
G | 17 | 5.8 | 0.1 | 0.2 | 0.9 | 0.2 | 0.0 | 0.3 | 0.9 | 0.2 | -17 | 16 | -1.1 | -7.2 | 6.7 | 0.0 | 0.0 | -1.17 | 6.1 | 6.7 |
Aron Phillips-Nwankwo
|
F | 5 | 1.6 | 0.0 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.2 | - | - | - | - | 0.0 | 0 | 0 | -1.52 | 0.0 | 0.0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG