UMBC Retrievers
2025 Team Stats (1 games)
79.0
PPG
49.0
Opp
+6.5
Margin
45.8%
FG%
25.0%
3P%
77.8%
FT%
50.0
RPG
16.0
APG
11.0
TO
87.0
Pace
55.0
AdjO
66.6
AdjD
#294
Rank
Model Outputs
2024-2025
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 → | 969 (#195) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 882 (#259) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -12.5 (#297) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.235 (#268) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.321 (#222) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.104 (#292) | AdjNet -18.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.098 (#296) | AdjNet -19.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.257 (#294) | AdjO 55.0 | AdjD 66.6 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-04 | vs | Maryland Terrapins | L | 32 - 74 |
| 2024-11-06 | vs | Notre Dame Of Maryland University Gators | W | 79 - 24 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Sanchez
|
G | 2 | 28.0 | 10.0 | 3.0 | 2.0 | 2.0 | 0.0 | 3.0 | 9.5 | 4.5 | -74 | -2.6 | -2.9 | 36.8 | 14.3 | 62.5 | -0.92 | 44.4 | 39.5 |
J. Lewis
|
G | 2 | 23.0 | 10.0 | 4.0 | 0.5 | 0.0 | 1.5 | 2.0 | 9.0 | 5.0 | -26 | -0.9 | -1.2 | 44.4 | 37.5 | 33.3 | 0.72 | 51.8 | 52.8 |
Ainaya Williams
|
F | 2 | 16.5 | 7.5 | 5.0 | 1.0 | 0.5 | 0.0 | 1.5 | 7.0 | 5.5 | -56 | -2.2 | -3.4 | 50.0 | 0 | 33.3 | 0.02 | 49.0 | 50.0 |
L. Marshall
|
G | 1 | 10.0 | 7.0 | 1.0 | 0.0 | 2.0 | 0.0 | 1.0 | 3.0 | 6.0 | 0 | 0.0 | 0.0 | 100.0 | 0 | 100.0 | -2.04 | 101.7 | 100.0 |
T. Davis
|
F | 2 | 27.0 | 5.0 | 4.0 | 0.0 | 1.5 | 0.0 | 0.5 | 4.5 | 5.5 | 1 | 0.1 | 3.3 | 33.3 | 50.0 | 100.0 | 0.6 | 50.6 | 44.4 |
Y. Ott
|
G | 2 | 16.5 | 4.5 | 0.0 | 1.0 | 0.5 | 0.0 | 1.0 | 7.0 | -2.0 | -16 | -0.6 | -1.2 | 28.6 | 16.7 | 0 | 0.32 | 32.1 | 32.1 |
T. Bellamy
|
G | 2 | 15.5 | 3.5 | 3.0 | 1.0 | 1.5 | 0.0 | 1.5 | 5.0 | 2.5 | -45 | -1.6 | -3.0 | 30.0 | 0.0 | 50.0 | -0.13 | 32.2 | 30.0 |
C. Yanez
|
G | 2 | 30.5 | 3.0 | 2.5 | 4.5 | 1.5 | 0.0 | 2.5 | 4.5 | 4.5 | -35 | -1.2 | -1.7 | 22.2 | 16.7 | 50.0 | 0.2 | 30.4 | 27.8 |
L. Lacambra
|
C | 2 | 15.5 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 | 1.0 | -2 | -0.1 | -0.5 | 33.3 | 0 | 100.0 | -0.3 | 43.6 | 33.3 |
L. Thompson
|
G | 2 | 7.5 | 3.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | 1.0 | -16 | -0.6 | -2.6 | 50.0 | 50.0 | 0 | 0.2 | 75.0 | 75.0 |
R. Donahue
|
G | 2 | 7.5 | 1.5 | 0.5 | 0.5 | 0.5 | 0.0 | 0.0 | 2.5 | 0.5 | 10 | 0.6 | 6.9 | 20.0 | 25.0 | 0 | -0.79 | 30.0 | 30.0 |
K. Ramsey
|
G | 2 | 7.5 | 1.0 | 3.5 | 0.5 | 0.0 | 0.0 | 0.5 | 2.0 | 2.5 | 26 | 1.9 | 16.1 | 25.0 | 0.0 | 0 | -0.71 | 25.0 | 25.0 |
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