Syracuse
2012 Team Stats (31 games)
73.8
PPG
60.6
Opp
+13.2
Margin
46.7%
FG%
34.4%
3P%
71.3%
FT%
34.1
RPG
15.0
APG
10.2
TO
-
Est. poss./game
75.2
Adj PPG
57.3
Adj Opp PPG
#6
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 | 1494 (#4) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1431 (#2) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1194 (#6) | HCA +101 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +19.0 (#6) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +16.4 (#9) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.904 (#3) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.971 (#6) | AdjNet +30.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.971 (#6) | AdjNet +30.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.836 (#6) | AdjO 75.2 | AdjD 57.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.733 (#13) | AdjO 70.8 | AdjD 59.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.901 (#4) | 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 | 0.890 (#5) | 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 | 1445 (#2) | RD 100 | GP 37 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kris Joseph
|
F | 37 | 32.2 | 13.4 | 4.7 | 1.5 | 1.4 | 0.6 | 1.5 | 8.7 | 11.4 | 296 | 32 | 9.2 | 12.0 | 41.5 | 33.6 | 76.6 | 3.45 | 65.7 | 48.0 |
Dion Waiters
|
G | 37 | 24.1 | 12.6 | 2.3 | 2.5 | 1.8 | 0.3 | 1.3 | 7.8 | 10.4 | 309 | 32 | 9.7 | 17.3 | 46.6 | 33.7 | 75.0 | 3.64 | 69.9 | 51.7 |
Brandon Triche
|
G | 37 | 22.5 | 9.4 | 2.5 | 2.6 | 1.0 | 0.1 | 1.4 | 6.2 | 7.9 | 235 | 32 | 7.3 | 13.9 | 41.9 | 35.1 | 79.2 | 4.88 | 66.4 | 49.3 |
Scoop Jardine
|
G | 37 | 25.2 | 8.9 | 2.4 | 4.9 | 1.4 | 0.1 | 2.3 | 6.4 | 8.9 | 200 | 32 | 6.2 | 10.2 | 48.7 | 37.0 | 57.6 | 0.7 | 62.8 | 55.9 |
C.J. Fair
|
F | 37 | 26.4 | 8.5 | 5.4 | 0.9 | 1.1 | 0.5 | 0.8 | 5.8 | 9.8 | 287 | 32 | 9.0 | 14.2 | 47.7 | 23.8 | 73.4 | 2.31 | 61.5 | 48.8 |
Fab Melo
|
C | 30 | 25.4 | 7.8 | 5.8 | 0.7 | 0.5 | 2.9 | 1.4 | 4.4 | 12.0 | 226 | 26 | 8.7 | 14.3 | 57.3 | 0 | 72.9 | 1.2 | 76.9 | 57.3 |
James Southerland
|
F | 37 | 16.0 | 6.8 | 3.1 | 0.4 | 0.8 | 0.9 | 0.4 | 4.6 | 7.1 | 254 | 32 | 7.9 | 21.8 | 46.5 | 32.2 | 66.7 | 5.75 | 69.3 | 55.0 |
Mookie Jones
|
F | 7 | 5.4 | 2.9 | 0.6 | 0.4 | 0.7 | 0.0 | 0.1 | 2.0 | 2.4 | 6 | 7 | 0.9 | 6.7 | 35.7 | 36.4 | 60.0 | -1.9 | 61.7 | 50.0 |
Michael Carter-Williams
|
G | 25 | 10.8 | 2.8 | 1.5 | 2.2 | 0.8 | 0.3 | 0.6 | 1.8 | 5.2 | 121 | 21 | 5.8 | 22.5 | 47.7 | 50.0 | 57.1 | 1.32 | 65.7 | 55.7 |
Rakeem Christmas
|
F | 37 | 11.5 | 2.8 | 2.9 | 0.2 | 0.3 | 0.8 | 0.6 | 1.8 | 4.5 | 49 | 32 | 1.5 | 5.4 | 55.2 | 0 | 54.2 | -4.48 | 65.8 | 55.2 |
B. Keita
|
C | 35 | 12.3 | 2.3 | 2.5 | 0.1 | 0.2 | 1.0 | 0.3 | 1.1 | 4.7 | 149 | 31 | 4.8 | 17.3 | 64.9 | 0 | 63.6 | 1.07 | 85.7 | 64.9 |
Matt Tomaszewski
|
F | 10 | 1.9 | 1.4 | 0.5 | 0.0 | 0.1 | 0.0 | 0.0 | 0.9 | 1.1 | 1 | 8 | 0.1 | 2.7 | 55.6 | 57.1 | 0 | -0.92 | 77.8 | 77.8 |
Albert Nassar
|
F | 2 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | - | 100.0 | 0 | 0 | -1.17 | 100.0 | 100.0 |
Brandon Reese
|
G | 13 | 1.5 | 0.5 | 0.3 | 0.2 | 0.2 | 0.0 | 0.2 | 0.5 | 0.5 | -3 | 10 | -0.3 | -8.8 | 16.7 | 0.0 | 71.4 | -1.43 | 38.5 | 16.7 |
G. Hoffmann
|
G | 9 | 0.9 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.3 | -0.1 | -3 | 8 | -0.4 | -14.4 | 33.3 | 33.3 | 0 | -1.2 | 50.0 | 50.0 |
Nick Resavy
|
G | 11 | 1.4 | 0.2 | 0.4 | 0.2 | 0.1 | 0.0 | 0.2 | 0.4 | 0.3 | -4 | 9 | -0.4 | -16.8 | 25.0 | 0.0 | 0 | -1.58 | 25.0 | 25.0 |
Matt Lyde-Cajuste
|
F | 9 | 1.1 | 0.2 | 0.4 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.6 | -8 | 8 | -1.0 | -32.8 | 100.0 | 0 | 0 | -1.95 | 100.0 | 100.0 |
Nolan Hart
|
G | 2 | 1.0 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | - | 0.0 | 0.0 | 0 | -1.17 | 0.0 | 0.0 |
Russ DeRemer
|
G | 3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -0.3 | - | - | - | - | 0.0 | 0 | 0 | -1.5 | 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