Saint Mary's Gaels
2026 Team Stats (30 games)
60.2
PPG
59.1
Opp
+1.1
Margin
41.8%
FG%
28.2%
3P%
71.5%
FT%
34.4
RPG
14.3
APG
16.8
TO
78.6
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 → | 941 (#482) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.6 (#192) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.489 (#229) | AdjO 58.4 | AdjD 58.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.675 (#208) | 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 → | 0.628 (#216) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 938 (#271) | RD 152 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Shoff
|
F | 30 | 23.2 | 9.7 | 4.2 | 0.9 | 0.9 | 0.2 | 1.3 | 9.3 | 5.4 | 10 | 0.4 | 0.7 | 40.5 | 27.8 | 77.2 | 0.65 | 48.0 | 44.4 |
E. Foy
|
G | 16 | 21.3 | 7.8 | 2.6 | 1.2 | 0.4 | 0.1 | 1.5 | 6.9 | 3.8 | 64 | 3.6 | 6.3 | 46.4 | 28.9 | 71.4 | 2.3 | 53.8 | 52.3 |
E. Clarke
|
F | 30 | 24.2 | 7.5 | 4.9 | 1.9 | 2.1 | 0.9 | 2.1 | 6.4 | 8.8 | -10 | -0.4 | -0.7 | 50.3 | 36.0 | 63.9 | -0.41 | 54.1 | 52.6 |
A. Wedin
|
G | 30 | 24.2 | 7.4 | 2.7 | 0.8 | 0.7 | 0.1 | 1.4 | 6.1 | 4.2 | -2 | -0.1 | -0.1 | 41.8 | 38.5 | 88.4 | -1.2 | 54.7 | 50.0 |
M. Latu
|
G | 30 | 23.7 | 7.2 | 3.1 | 2.3 | 1.2 | 0.0 | 2.7 | 7.2 | 4.0 | -1 | -0.0 | -0.1 | 39.5 | 29.4 | 85.4 | 0.31 | 45.7 | 40.7 |
J. Hunter
|
G | 30 | 22.7 | 6.0 | 2.3 | 2.1 | 2.0 | 0.2 | 2.0 | 6.1 | 4.4 | 57 | 2.4 | 3.8 | 39.3 | 26.1 | 63.8 | 2.85 | 44.2 | 41.0 |
M. Hashemian-Orr
|
G | 30 | 19.4 | 4.2 | 2.9 | 2.9 | 1.1 | 0.0 | 2.0 | 3.6 | 5.6 | 51 | 2.1 | 4.3 | 44.9 | 9.1 | 59.6 | 1.44 | 49.0 | 45.3 |
C. Ohiaeri
|
G | 30 | 12.3 | 3.6 | 2.4 | 0.5 | 0.7 | 0.1 | 0.8 | 3.9 | 2.7 | 60 | 2.5 | 8.3 | 37.9 | 16.7 | 65.0 | 2.08 | 42.9 | 40.5 |
M. Afeaki
|
F | 30 | 10.6 | 3.4 | 1.5 | 0.4 | 0.0 | 0.3 | 0.7 | 2.9 | 2.0 | 1 | 0.0 | 0.2 | 44.2 | 0.0 | 68.4 | -2.94 | 49.6 | 44.2 |
A. Kurkowski
|
G | 29 | 14.2 | 2.7 | 2.1 | 1.0 | 0.7 | 0.2 | 0.7 | 2.2 | 3.8 | 36 | 1.6 | 5.0 | 41.5 | 21.6 | 85.0 | 1.24 | 53.5 | 47.7 |
E. Wedin
|
G | 26 | 12.2 | 2.4 | 1.0 | 0.5 | 0.4 | 0.0 | 0.4 | 2.8 | 1.0 | 9 | 0.4 | 1.8 | 28.8 | 28.4 | 100.0 | -2.04 | 42.2 | 41.8 |
G. Grigoropoulou
|
F | 29 | 6.6 | 2.3 | 1.5 | 0.4 | 0.2 | 0.1 | 0.7 | 2.2 | 1.4 | 24 | 1.0 | 6.5 | 44.6 | 0 | 42.1 | 0.91 | 45.0 | 44.6 |
C. Urlacher
|
G | 6 | 5.7 | 0.8 | 1.3 | 0.0 | 0.2 | 0.0 | 0.2 | 1.3 | 0.8 | 18 | 2.6 | 48.6 | 25.0 | 16.7 | 0 | 0.3 | 31.2 | 31.2 |
Colleena Bryant
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | 0.72 | - | - |
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