Maine-Augusta Moose
Also known as: Maine-Augusta Moose
Program History
2025 Team Stats (1 games)
51.0
PPG
103.0
Opp
-52.0
Margin
35.8%
FG%
29.4%
3P%
80.0%
FT%
26.0
RPG
10.0
APG
24.0
TO
81.4
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 → | 997 (#327) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -16.6 (#567) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.462 (#445) | AdjO 72.7 | AdjD 74.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.235 (#544) | 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 → | 0.284 (#534) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 864 (#594) | RD 350 | GP 1 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-03 | @ | Maine Black Bears | L | 51 - 103 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Y. Medfu
|
- | 1 | 22.0 | 12.0 | 3.0 | 0.0 | 1.0 | 1.0 | 2.0 | 10.0 | 5.0 | - | - | - | 40.0 | 50.0 | 0 | - | 60.0 | 60.0 |
I. Searles
|
- | 1 | 29.0 | 12.0 | 2.0 | 0.0 | 2.0 | 3.0 | 3.0 | 7.0 | 9.0 | - | - | - | 71.4 | 0.0 | 100.0 | - | 76.1 | 71.4 |
D. Sharp
|
- | 1 | 26.0 | 10.0 | 2.0 | 1.0 | 2.0 | 0.0 | 5.0 | 12.0 | -2.0 | - | - | - | 25.0 | 33.3 | 100.0 | - | 37.5 | 29.2 |
T. Beals
|
- | 1 | 29.0 | 4.0 | 4.0 | 1.0 | 0.0 | 0.0 | 2.0 | 7.0 | 0.0 | - | - | - | 28.6 | 0.0 | 0 | - | 28.6 | 28.6 |
P. Washburn
|
- | 1 | 10.0 | 4.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 3.0 | 4.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
T. Wilson
|
- | 1 | 27.0 | 4.0 | 4.0 | 4.0 | 0.0 | 0.0 | 4.0 | 3.0 | 5.0 | 39 | 2.6 | 10.4 | 66.7 | 0 | 0.0 | 0.25 | 58.1 | 66.7 |
K. Sharp
|
- | 1 | 18.0 | 2.0 | 2.0 | 2.0 | 0.0 | 1.0 | 3.0 | 5.0 | -1.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 17.0 | 0.0 |
B. Macdonald
|
- | 1 | 6.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
J. Plamondon
|
- | 1 | 14.0 | 1.0 | 5.0 | 2.0 | 0.0 | 0.0 | 3.0 | 2.0 | 3.0 | - | - | - | 0.0 | 0 | 50.0 | - | 17.4 | 0.0 |
D. Orr
|
- | 1 | 13.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Nawfel
|
- | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
N. Corey
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
D. Jinks
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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