Loyola Maryland Greyhounds
2026 Team Stats (27 games)
53.9
PPG
61.0
Opp
-7.1
Margin
39.4%
FG%
28.4%
3P%
66.3%
FT%
32.4
RPG
12.0
APG
16.7
TO
74.3
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 → | 963 (#465) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.7 (#292) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.404 (#448) | AdjO 55.3 | AdjD 59.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.471 (#307) | 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 → | 0.448 (#308) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 880 (#443) | RD 144 | GP 27 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Therien
|
F | 27 | 28.7 | 15.9 | 8.4 | 1.9 | 1.6 | 0.3 | 3.0 | 12.0 | 12.9 | -30 | -1.2 | -1.9 | 54.8 | 23.5 | 72.3 | 0.18 | 58.4 | 55.4 |
K. Hicks
|
G | 20 | 25.6 | 8.7 | 3.5 | 1.6 | 1.4 | 0.1 | 1.7 | 9.2 | 4.4 | 30 | 1.4 | 4.6 | 26.8 | 26.5 | 72.1 | 1.28 | 39.2 | 30.3 |
A. Amorich
|
G | 26 | 26.3 | 8.2 | 1.8 | 1.5 | 0.8 | 0.3 | 2.3 | 7.7 | 2.7 | -77 | -3.5 | -5.7 | 35.8 | 34.2 | 70.7 | -2.12 | 46.8 | 42.5 |
K. Sims
|
F | 27 | 25.6 | 7.7 | 7.3 | 1.6 | 0.5 | 0.6 | 1.7 | 7.4 | 8.6 | 114 | 4.6 | 7.4 | 47.0 | 25.0 | 36.6 | 3.62 | 47.5 | 48.0 |
A. Simmons
|
G | 4 | 21.5 | 4.5 | 1.5 | 0.5 | 0.2 | 0.0 | 3.0 | 4.8 | -1.0 | -68 | -3.2 | -5.2 | 42.1 | 28.6 | 0 | 0.03 | 47.4 | 47.4 |
S. Bass
|
G | 25 | 21.5 | 4.3 | 2.0 | 1.0 | 0.8 | 0.3 | 0.6 | 4.6 | 3.2 | 27 | 1.3 | 3.0 | 33.3 | 29.3 | 58.3 | 1.79 | 44.9 | 43.9 |
O. Shaughnessy
|
G | 25 | 19.1 | 3.0 | 1.5 | 1.2 | 0.9 | 0.2 | 1.1 | 3.0 | 2.7 | 36 | 1.7 | 4.9 | 30.3 | 29.5 | 68.0 | 2.17 | 43.7 | 38.8 |
C. Garcia
|
G | 27 | 19.2 | 2.7 | 1.6 | 1.6 | 0.7 | 0.1 | 2.1 | 2.5 | 2.2 | -47 | -2.0 | -3.4 | 38.8 | 40.0 | 62.1 | 0.17 | 46.4 | 41.8 |
W. Watkins
|
F | 26 | 8.9 | 2.0 | 1.6 | 0.4 | 0.4 | 0.2 | 0.5 | 1.7 | 2.4 | -5 | -0.2 | -1.1 | 42.2 | 27.3 | 66.7 | -1.22 | 50.1 | 45.6 |
K. Kalet
|
G | 27 | 20.9 | 1.9 | 1.2 | 1.2 | 0.6 | 0.0 | 1.4 | 2.8 | 0.7 | -60 | -2.6 | -5.9 | 25.0 | 26.3 | 66.7 | -2.64 | 33.1 | 31.6 |
G. Betton
|
G | 26 | 11.9 | 1.9 | 1.0 | 0.7 | 0.2 | 0.1 | 0.9 | 2.7 | 0.3 | -6 | -0.3 | -1.2 | 26.1 | 21.4 | 66.7 | -0.83 | 33.7 | 30.4 |
M. Espinal
|
F | 5 | 2.6 | 0.8 | 0.0 | 0.0 | 0.2 | 0.0 | 0.4 | 0.2 | 0.4 | -1 | -0.3 | -6.3 | 100.0 | 0 | 100.0 | -0.26 | 106.4 | 100.0 |
M. Van-Otoo
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
A. Lovisolo
|
F | 17 | 3.2 | 0.0 | 0.2 | 0.1 | 0.1 | 0.1 | 0.1 | 0.5 | -0.2 | -21 | -1.5 | -21.9 | 0.0 | 0.0 | 0 | -2.6 | 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