Loyola Maryland Greyhounds
2025 Team Stats (1 games)
54.0
PPG
97.0
Opp
-43.0
Margin
35.5%
FG%
30.0%
3P%
50.0%
FT%
29.0
RPG
8.0
APG
17.0
TO
82.5
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
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 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-22 | @ | Notre Dame Fighting Irish | L | 54 - 97 |
2025 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. Salmeron
|
G | 1 | 37.0 | 23.0 | 5.0 | 2.0 | 2.0 | 0.0 | 2.0 | 20.0 | 10.0 | -86 | -2.9 | -2.9 | 50.0 | 28.6 | 100.0 | -0.27 | 56.3 | 55.0 |
A. Amorich
|
G | 1 | 35.0 | 13.0 | 5.0 | 2.0 | 0.0 | 0.0 | 5.0 | 15.0 | 0.0 | -55 | -1.8 | -2.5 | 33.3 | 50.0 | 100.0 | 0.13 | 42.1 | 40.0 |
K. Sims
|
F | 1 | 30.0 | 8.0 | 8.0 | 1.0 | 0.0 | 1.0 | 2.0 | 9.0 | 7.0 | 62 | 2.4 | 3.8 | 44.4 | 0 | 0.0 | 0.71 | 40.5 | 44.4 |
M. Espinal
|
F | 1 | 27.0 | 3.0 | 1.0 | 2.0 | 0.0 | 0.0 | 1.0 | 2.0 | 3.0 | -34 | -1.1 | -2.4 | 50.0 | 50.0 | 0 | 0.11 | 75.0 | 75.0 |
A. Lovisolo
|
F | 1 | 12.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | -2 | -0.1 | -0.8 | 33.3 | 33.3 | 0 | -0.55 | 50.0 | 50.0 |
C. Garcia
|
G | 1 | 17.0 | 2.0 | 2.0 | 0.0 | 1.0 | 1.0 | 4.0 | 4.0 | -2.0 | -17 | -1.4 | -3.3 | 25.0 | 0.0 | 0 | -0.24 | 25.0 | 25.0 |
G. Betton
|
G | 1 | 13.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | -38 | -1.4 | -5.6 | 0.0 | 0.0 | 100.0 | -0.28 | 25.8 | 0.0 |
M. Van-Otoo
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | -42 | -1.5 | -3.3 | 0 | 0 | 0 | -0.25 | 0 | 0 |
A. Hernandez
|
C | 1 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -1 | -0.1 | -2.1 | 0.0 | 0 | 0.0 | 0.3 | 0.0 | 0.0 |
K. Kalet
|
G | 1 | 17.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | -6.0 | -43 | -1.4 | -2.0 | 0.0 | 0.0 | 0 | 0.49 | 0.0 | 0.0 |
A. Simmons
|
G | 1 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | 11 | 0.4 | 0.6 | 0.0 | 0.0 | 0 | 0.6 | 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