Pittsburgh
2012 Team Stats (18 games)
70.0
PPG
65.5
Opp
+3.5
Margin
46.6%
FG%
33.7%
3P%
68.0%
FT%
38.9
RPG
16.1
APG
14.2
TO
77.8
Pace
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 → | 1519 (#68) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1432 (#81) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.6 (#60) | HCA +3.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.479 (#65) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.693 (#43) | NetEff +7.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.637 (#49) | AdjNet +4.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.638 (#49) | AdjNet +4.9 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Gibbs
|
G | 37 | 34.3 | 14.6 | 2.3 | 2.1 | 0.5 | 0.1 | 1.6 | 8.5 | 9.4 | - | - | - | 38.4 | 34.0 | 83.6 | - | 78.5 | 46.7 |
T. Woodall
|
G | 27 | 30.9 | 11.9 | 3.1 | 6.1 | 0.9 | 0.1 | 3.2 | 4.3 | 14.7 | - | - | - | 44.4 | 39.7 | 86.4 | - | 126.7 | 54.3 |
N. Robinson
|
F | 38 | 29.1 | 10.6 | 6.6 | 2.1 | 0.6 | 0.2 | 2.1 | 5.6 | 12.4 | - | - | - | 59.6 | 33.3 | 53.2 | - | 81.6 | 59.9 |
L. Patterson
|
G | 36 | 28.4 | 9.6 | 5.3 | 3.6 | 1.1 | 0.3 | 1.7 | 5.0 | 13.1 | - | - | - | 40.3 | 39.1 | 72.5 | - | 84.8 | 47.2 |
J. Moore
|
F | 37 | 18.4 | 7.6 | 3.0 | 0.4 | 0.5 | 0.2 | 1.0 | 3.3 | 7.4 | 17 | 2.1 | 2.5 | 41.0 | 29.0 | 76.1 | 1.3 | 99.5 | 48.4 |
T. Zanna
|
F | 38 | 19.1 | 6.1 | 5.4 | 0.3 | 0.3 | 0.4 | 0.7 | 2.6 | 9.3 | - | - | - | 56.0 | 0 | 59.6 | - | 94.8 | 56.0 |
D. Taylor
|
F | 36 | 18.9 | 5.9 | 5.0 | 0.5 | 0.4 | 0.7 | 1.1 | 2.9 | 8.5 | - | - | - | 56.3 | 0.0 | 57.1 | - | 86.8 | 56.3 |
K. Birch
|
F | 10 | 15.0 | 4.4 | 5.0 | 0.0 | 0.2 | 1.9 | 0.7 | 2.6 | 8.2 | - | - | - | 57.7 | 0 | 50.0 | - | 70.3 | 57.7 |
J. Johnson
|
G | 38 | 13.9 | 4.2 | 0.7 | 1.2 | 0.3 | 0.0 | 0.9 | 2.3 | 3.1 | 16 | 1.8 | 1.4 | 39.3 | 40.0 | 83.3 | 1.19 | 79.3 | 51.7 |
C. Wright
|
G | 36 | 11.6 | 2.2 | 1.5 | 0.7 | 0.4 | 0.1 | 0.9 | 1.7 | 2.3 | - | - | - | 32.8 | 8.3 | 72.2 | 0.53 | 58.8 | 33.6 |
N. 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 | - | 66.7 | 50.0 |
M. Gilbert
|
C | 19 | 4.9 | 0.5 | 0.8 | 0.0 | 0.1 | 0.3 | 0.2 | 0.1 | 1.4 | - | - | - | 100.0 | 0 | 0 | - | 225.0 | 100.0 |
I. Epps
|
G | 17 | 5.8 | 0.1 | 0.2 | 0.9 | 0.2 | 0.0 | 0.3 | 0.9 | 0.2 | - | - | - | 6.7 | 0.0 | 0.0 | - | 6.1 | 6.7 |
A. 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 | - | 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