Syracuse
2013 Team Stats (31 games)
72.0
PPG
57.5
Opp
+14.5
Margin
44.1%
FG%
30.9%
3P%
69.5%
FT%
38.7
RPG
14.4
APG
11.8
TO
-
Est. poss./game
72.4
Adj PPG
54.0
Adj Opp PPG
#6
Scoring Rank
Model Outputs
2012-2013
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 | 1464 (#5) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1341 (#8) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1173 (#8) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +19.4 (#7) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +19.0 (#4) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.890 (#9) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.970 (#9) | AdjNet +30.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.971 (#9) | AdjNet +30.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.842 (#6) | AdjO 72.4 | AdjD 54.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.776 (#5) | AdjO 66.8 | AdjD 53.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.899 (#6) | 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 | 0.891 (#4) | 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 | 1334 (#10) | RD 83 | GP 40 |
2013 Schedule & Results
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C.J. Fair
|
F | 40 | 34.9 | 14.5 | 7.0 | 0.7 | 1.1 | 1.1 | 1.6 | 10.4 | 12.4 | 362 | 37 | 9.8 | 12.6 | 46.5 | 44.4 | 75.7 | 2.9 | 60.5 | 49.4 |
Brandon Triche
|
G | 40 | 33.8 | 13.6 | 3.4 | 3.6 | 1.2 | 0.1 | 2.7 | 10.3 | 8.9 | 400 | 37 | 10.8 | 14.3 | 41.6 | 29.4 | 75.3 | 4.99 | 56.6 | 47.5 |
James Southerland
|
F | 34 | 29.5 | 13.3 | 5.2 | 1.1 | 1.5 | 0.9 | 1.2 | 9.8 | 10.8 | 286 | 32 | 8.9 | 13.6 | 46.1 | 40.6 | 81.1 | 2.19 | 63.1 | 58.1 |
Michael Carter-Williams
|
G | 40 | 35.2 | 11.8 | 4.9 | 7.3 | 2.8 | 0.5 | 3.4 | 9.1 | 14.8 | 389 | 37 | 10.5 | 13.2 | 39.3 | 29.8 | 71.3 | 3.27 | 53.8 | 44.0 |
Rakeem Christmas
|
F | 40 | 20.8 | 5.1 | 4.6 | 0.2 | 0.5 | 1.8 | 0.9 | 3.9 | 7.5 | 250 | 37 | 6.8 | 14.3 | 53.5 | 0 | 59.2 | 0.36 | 58.1 | 53.5 |
DaJuan Coleman
|
C | 24 | 12.7 | 4.8 | 4.0 | 0.2 | 0.5 | 0.4 | 1.0 | 3.9 | 5.0 | 151 | 22 | 6.9 | 21.4 | 44.1 | 0 | 46.2 | 0.54 | 46.9 | 44.1 |
Jerami Grant
|
F | 40 | 14.3 | 3.9 | 3.0 | 0.5 | 0.4 | 0.4 | 0.7 | 2.8 | 4.7 | 138 | 37 | 3.7 | 11.7 | 46.0 | 40.0 | 56.2 | 1.27 | 53.4 | 48.7 |
B. Keita
|
C | 40 | 16.8 | 3.7 | 3.7 | 0.1 | 0.6 | 1.1 | 0.6 | 2.0 | 6.7 | 152 | 36 | 4.2 | 11.0 | 61.7 | 0 | 61.4 | 0.17 | 70.2 | 61.7 |
Trevor Cooney
|
G | 39 | 11.2 | 3.4 | 0.8 | 0.6 | 0.7 | 0.1 | 0.5 | 3.6 | 1.5 | 99 | 35 | 2.8 | 10.7 | 32.6 | 26.5 | 84.6 | -2.55 | 45.3 | 42.2 |
Albert Nassar
|
F | 5 | 0.6 | 0.6 | 0.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.8 | - | - | - | - | 100.0 | 100.0 | 0 | -0.84 | 150.0 | 150.0 |
Noel Jones
|
F | 6 | 1.3 | 0.3 | 1.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.3 | 1.2 | -7 | 6 | -1.2 | -39.3 | 50.0 | 0 | 0 | -1.92 | 50.0 | 50.0 |
Matt Lyde-Cajuste
|
F | 13 | 1.7 | 0.2 | 0.3 | 0.1 | 0.1 | 0.2 | 0.1 | 0.5 | 0.2 | 0 | 12 | 0.0 | 0.0 | 16.7 | 0.0 | 0 | -0.71 | 16.7 | 16.7 |
Nolan Hart
|
G | 11 | 1.4 | 0.2 | 0.3 | 0.1 | 0.1 | 0.0 | 0.5 | 0.5 | -0.5 | -7 | 10 | -0.7 | -22.4 | 16.7 | 0.0 | 0.0 | -2.03 | 15.5 | 16.7 |
G. Hoffmann
|
G | 13 | 1.2 | 0.1 | 0.1 | 0.0 | 0.2 | 0.0 | 0.3 | 0.4 | -0.3 | -6 | 11 | -0.5 | -18.2 | 0.0 | 0.0 | 25.0 | -1.71 | 7.4 | 0.0 |
Russ DeRemer
|
G | 11 | 1.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.1 | 0.2 | -0.1 | -7 | 10 | -0.7 | -22.4 | 0.0 | 0.0 | 0 | -2.03 | 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