Syracuse Orange
2026 Team Stats (32 games)
73.1
PPG
65.2
Opp
+7.9
Margin
42.1%
FG%
30.5%
3P%
73.0%
FT%
41.3
RPG
14.2
APG
15.7
TO
89.2
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1098 (#67) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +29.3 (#43) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.698 (#69) | AdjO 70.8 | AdjD 61.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.941 (#42) | 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 → | 0.919 (#44) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1239 (#52) | RD 115 | GP 32 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
U. Izoje
|
C | 32 | 28.5 | 15.6 | 9.2 | 1.3 | 1.0 | 2.6 | 2.9 | 12.7 | 14.1 | 222 | 9.2 | 13.1 | 54.8 | 0.0 | 54.2 | 3.05 | 55.4 | 54.8 |
L. Phelia
|
G | 31 | 32.0 | 13.8 | 2.7 | 1.4 | 2.0 | 0.2 | 1.9 | 12.3 | 6.0 | 124 | 5.2 | 6.8 | 39.8 | 35.7 | 84.8 | -0.16 | 50.3 | 45.0 |
D. Darius
|
G | 29 | 25.9 | 12.9 | 3.7 | 3.3 | 1.5 | 0.2 | 3.1 | 10.8 | 7.7 | 113 | 4.7 | 7.5 | 39.9 | 29.3 | 83.9 | 1.22 | 51.5 | 44.6 |
S. Burrows
|
G | 31 | 30.7 | 10.9 | 5.8 | 2.4 | 2.0 | 0.9 | 2.0 | 11.2 | 8.8 | 175 | 7.3 | 10.5 | 35.7 | 29.4 | 84.1 | 2.2 | 46.1 | 43.4 |
S. Hawkins
|
G | 31 | 15.9 | 5.3 | 2.1 | 0.8 | 0.7 | 0.2 | 1.3 | 4.9 | 3.0 | 131 | 5.5 | 11.4 | 40.4 | 100.0 | 71.9 | 4.24 | 46.6 | 40.7 |
J. Thompson
|
F | 28 | 17.6 | 4.0 | 4.4 | 0.6 | 1.0 | 0.3 | 0.6 | 3.3 | 6.4 | 81 | 4.0 | 9.5 | 52.2 | 0 | 63.0 | 2.96 | 54.4 | 52.2 |
M. Potts
|
G | 21 | 9.0 | 3.1 | 1.3 | 0.7 | 0.4 | 0.1 | 0.6 | 3.1 | 1.9 | 44 | 3.4 | 16.8 | 36.4 | 32.1 | 50.0 | 0.92 | 49.3 | 49.2 |
J. Cooper
|
F | 24 | 10.4 | 3.1 | 2.0 | 0.6 | 0.3 | 0.3 | 0.4 | 2.1 | 3.9 | 19 | 1.1 | 4.7 | 52.9 | 31.8 | 73.7 | -0.04 | 63.2 | 59.8 |
K. Scott
|
F | 29 | 8.8 | 2.4 | 1.4 | 0.3 | 0.3 | 0.2 | 0.4 | 2.8 | 1.5 | 98 | 4.5 | 17.7 | 37.0 | 20.0 | 57.1 | 1.21 | 39.6 | 37.7 |
A. Velez
|
G | 24 | 11.4 | 2.2 | 1.0 | 1.8 | 0.5 | 0.0 | 1.1 | 2.8 | 1.7 | 113 | 5.9 | 15.6 | 30.3 | 21.4 | 64.7 | 4.83 | 36.7 | 32.6 |
O. Schmitt
|
G | 27 | 12.0 | 1.9 | 0.5 | 1.7 | 0.7 | 0.0 | 0.5 | 2.2 | 2.0 | 42 | 2.2 | 10.6 | 26.7 | 30.6 | 75.0 | -1.16 | 40.5 | 39.2 |
J. Fitzgerald
|
F | 10 | 7.7 | 1.9 | 1.9 | 0.2 | 0.6 | 0.2 | 0.8 | 1.0 | 3.0 | 31 | 3.4 | 17.2 | 50.0 | 0 | 75.0 | 0.7 | 62.2 | 50.0 |
O. Akinbolawa
|
C | 18 | 5.2 | 1.7 | 1.3 | 0.1 | 0.1 | 0.3 | 0.7 | 1.3 | 1.6 | 25 | 1.8 | 16.6 | 52.2 | 0.0 | 46.7 | 0.83 | 52.4 | 52.2 |
A. Almón
|
F | 28 | 10.9 | 1.3 | 3.6 | 0.3 | 0.2 | 0.3 | 0.6 | 1.2 | 3.9 | 30 | 1.5 | 5.6 | 40.0 | 0.0 | 80.0 | -0.73 | 45.7 | 40.0 |
C. Nelson
|
G | 18 | 9.1 | 1.3 | 1.4 | 0.9 | 0.3 | 0.1 | 0.9 | 1.8 | 1.3 | 16 | 1.1 | 5.3 | 28.1 | 18.2 | 66.7 | -1.13 | 34.6 | 31.2 |
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