Navy Midshipmen
2025 Team Stats (1 games)
103.0
PPG
45.0
Opp
+58.0
Margin
53.4%
FG%
36.0%
3P%
80.0%
FT%
46.0
RPG
26.0
APG
17.0
TO
98.8
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 → | 1110 (#57) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.5 (#126) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.643 (#99) | AdjO 68.2 | AdjD 61.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.822 (#126) | 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 → | 0.801 (#113) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1160 (#93) | RD 122 | GP 28 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-06 | vs | Bryn Athyn Lions | W | 103 - 45 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Moschella
|
G | 1 | 22.0 | 25.0 | 7.0 | 1.0 | 1.0 | 2.0 | 1.0 | 13.0 | 22.0 | -9 | -0.5 | -1.7 | 69.2 | 62.5 | 100.0 | -0.2 | 90.1 | 88.5 |
Z. Barnett-Gay
|
G | 1 | 15.0 | 13.0 | 5.0 | 2.0 | 1.0 | 0.0 | 4.0 | 5.0 | 12.0 | 34 | 1.1 | 1.2 | 80.0 | 100.0 | 100.0 | 0.8 | 96.2 | 90.0 |
K. Samson
|
C | 1 | 10.0 | 10.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 7.0 | 8.0 | -1 | -0.1 | -0.1 | 71.4 | 0 | 0 | -0.02 | 71.4 | 71.4 |
J. Almeida
|
G | 1 | 15.0 | 8.0 | 3.0 | 1.0 | 2.0 | 0.0 | 2.0 | 5.0 | 7.0 | 29 | 0.9 | 1.1 | 80.0 | 0 | 0 | 1.03 | 80.0 | 80.0 |
M. Demos
|
F | 1 | 16.0 | 7.0 | 4.0 | 1.0 | 2.0 | 1.0 | 0.0 | 4.0 | 11.0 | 14 | 0.4 | 0.8 | 50.0 | 0 | 75.0 | 0.33 | 60.8 | 50.0 |
M. Louridas
|
G | 1 | 12.0 | 7.0 | 3.0 | 4.0 | 1.0 | 0.0 | 0.0 | 3.0 | 12.0 | -2 | -0.1 | -0.1 | 66.7 | 66.7 | 50.0 | 0.31 | 90.2 | 100.0 |
M. Gibbons
|
G | 1 | 18.0 | 7.0 | 0.0 | 2.0 | 2.0 | 1.0 | 1.0 | 9.0 | 2.0 | 28 | 0.9 | 1.8 | 33.3 | 25.0 | 0 | 0.52 | 38.9 | 38.9 |
T. Papahronis
|
G | 1 | 13.0 | 6.0 | 2.0 | 1.0 | 3.0 | 0.0 | 1.0 | 3.0 | 8.0 | -12 | -0.4 | -0.7 | 66.7 | 0.0 | 100.0 | 0.14 | 77.3 | 66.7 |
K. Smith
|
G | 1 | 14.0 | 6.0 | 1.0 | 5.0 | 3.0 | 0.0 | 2.0 | 6.0 | 7.0 | 97 | 3.5 | 3.9 | 50.0 | 0.0 | 0 | 1.63 | 50.0 | 50.0 |
N. Henley
|
G | 1 | 15.0 | 5.0 | 2.0 | 1.0 | 2.0 | 0.0 | 3.0 | 4.0 | 3.0 | 0 | 0.0 | 0.0 | 50.0 | 0.0 | 100.0 | 0.02 | 56.3 | 50.0 |
L. Holder
|
F | 1 | 21.0 | 4.0 | 6.0 | 2.0 | 0.0 | 2.0 | 1.0 | 6.0 | 7.0 | 35 | 1.8 | 3.3 | 33.3 | 0.0 | 0.0 | 0.51 | 31.1 | 33.3 |
M. Blackford
|
G | 1 | 14.0 | 3.0 | 1.0 | 2.0 | 2.0 | 0.0 | 0.0 | 4.0 | 4.0 | 31 | 0.9 | 2.0 | 25.0 | 0.0 | 50.0 | 0.53 | 30.7 | 25.0 |
K. Giuliani
|
G | 1 | 15.0 | 2.0 | 4.0 | 3.0 | 0.0 | 0.0 | 0.0 | 4.0 | 5.0 | -7 | -0.3 | -3.0 | 0.0 | 0.0 | 100.0 | -0.61 | 20.5 | 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