Syracuse
2014 Team Stats (28 games)
67.5
PPG
58.9
Opp
+8.4
Margin
44.7%
FG%
33.3%
3P%
70.6%
FT%
34.4
RPG
12.2
APG
9.1
TO
72.2
Pace
Model Outputs
2013-2014
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 → | 1495 (#73) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1542 (#34) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.1 (#49) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.718 (#14) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.741 (#13) | NetEff +9.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.891 (#11) | AdjNet +18.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.892 (#11) | AdjNet +18.4 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C.J. Fair
|
F | 29 | 37.7 | 16.8 | 6.2 | 1.3 | 1.2 | 0.8 | 2.4 | 14.4 | 9.5 | - | - | - | 43.9 | 27.8 | 71.7 | - | 52.1 | 46.3 |
T. Ennis
|
G | 29 | 36.3 | 12.7 | 3.4 | 5.9 | 2.1 | 0.2 | 1.7 | 10.4 | 12.1 | - | - | - | 42.1 | 33.3 | 75.0 | - | 51.9 | 45.9 |
J. Grant
|
F | 27 | 31.9 | 12.1 | 6.6 | 1.3 | 0.9 | 0.6 | 1.3 | 8.3 | 11.9 | - | - | - | 50.4 | 0.0 | 69.4 | - | 56.7 | 50.4 |
T. Cooney
|
G | 29 | 32.3 | 11.8 | 2.0 | 1.0 | 1.9 | 0.1 | 0.7 | 9.3 | 6.9 | - | - | - | 38.7 | 35.4 | 82.6 | - | 59.3 | 51.7 |
R. Christmas
|
F | 29 | 24.3 | 6.2 | 5.1 | 0.8 | 0.5 | 2.0 | 0.8 | 3.6 | 10.2 | - | - | - | 61.5 | 0 | 70.9 | - | 69.8 | 61.5 |
D. Coleman
|
C | 9 | 12.0 | 3.7 | 4.0 | 0.1 | 0.3 | 0.3 | 1.2 | 2.7 | 4.6 | - | - | - | 50.0 | 0 | 53.8 | 0.03 | 55.5 | 50.0 |
M. Gbinije
|
F | 29 | 14.5 | 3.2 | 1.6 | 1.2 | 0.8 | 0.2 | 0.4 | 2.4 | 4.3 | - | - | - | 37.7 | 34.2 | 72.4 | - | 56.3 | 47.1 |
R. Patterson
|
G | 9 | 5.1 | 2.9 | 0.4 | 0.4 | 0.3 | 0.0 | 0.1 | 2.4 | 1.6 | - | - | - | 40.9 | 42.9 | 0.0 | - | 55.7 | 54.5 |
T. Roberson
|
F | 18 | 8.2 | 2.3 | 1.8 | 0.2 | 0.2 | 0.2 | 0.4 | 1.8 | 2.4 | - | - | - | 34.4 | 0.0 | 68.2 | - | 49.2 | 34.4 |
B. Johnson
|
G | 9 | 5.7 | 1.6 | 1.0 | 0.2 | 0.1 | 0.3 | 0.3 | 2.1 | 0.8 | -26 | -2.4 | -3.2 | 15.8 | 7.7 | 0 | 0.53 | 36.8 | 18.4 |
B. Keita
|
C | 27 | 15.3 | 1.5 | 3.9 | 0.3 | 0.3 | 0.8 | 0.8 | 1.4 | 4.6 | -22 | -2.0 | -7.9 | 45.9 | 0 | 45.5 | -0.02 | 49.0 | 45.9 |
N. Hart
|
G | 4 | 1.0 | 0.2 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | 0.0 | 0.0 | 50.0 | - | 17.4 | 0.0 |
R. DeRemer
|
G | 4 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
A. Nassar
|
F | 4 | 1.5 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | 0.0 | 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