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Navy

Season: 2026 2025 2024 2020 2017 2016 2015
Also known as: Navy
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 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 Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1116 (#115) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1023 (#276) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +43.9 (#40) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#90) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +59.7 More → 0.999 (#42) AdjNet +59.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +58.5 More → 0.999 (#49) AdjNet +58.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 85.9 | AdjD 45.0 More → 0.976 (#36) AdjO 85.9 | AdjD 45.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.4 | AdjD 55.6 More → 0.794 (#65) AdjO 70.4 | AdjD 55.6
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.943 (#33) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.924 (#38) Blend of Elo, BT, Margin, PythLog, PtsOD

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-08 vs Susquehanna W 78 - 37
2023-12-19 vs Goucher W 105 - 50

2024 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%
Zanai Barnett-Gay - 1 32.0 18.0 11.0 3.0 5.0 0.0 5.0 17.0 15.0 - - - 41.2 50.0 28.6 - 44.8 47.1
Kyah Smith - 2 26.5 17.0 6.0 4.0 2.5 0.5 1.0 16.0 13.0 29 4.1 32.5 43.8 33.3 50.0 0.84 50.4 50.0
Sydne Watts - 2 19.5 14.0 6.5 1.0 0.0 0.5 0.5 11.5 10.0 - - - 47.8 28.6 57.1 - 53.7 52.2
Toni Papahronis - 1 19.0 11.0 4.0 5.0 2.0 1.0 0.0 9.0 14.0 - - - 55.6 25.0 0 - 61.1 61.1
Kate Samson - 2 15.0 8.5 7.5 0.0 0.5 1.0 4.5 4.5 8.5 - - - 66.7 0 71.4 - 70.4 66.7
Maren Louridas - 2 22.0 6.5 7.0 4.5 1.0 0.5 0.5 7.5 11.5 - - - 26.7 22.2 50.0 - 36.8 33.3
Violet McNece - 2 19.5 6.5 3.5 3.0 1.0 0.0 1.0 6.0 7.0 - - - 41.7 42.9 0 - 54.2 54.2
Saran Moschella - 2 12.0 5.0 3.5 1.0 2.0 0.5 0.5 5.5 6.0 - - - 36.4 16.7 100.0 - 43.7 40.9
Morganne Andrews - 2 10.5 5.0 2.0 0.5 1.5 0.5 0.5 3.0 6.0 - - - 83.3 0 0 - 83.3 83.3
Kelli Giuliani - 2 8.5 4.0 0.0 0.5 0.0 0.0 0.0 2.0 2.5 - - - 75.0 66.7 0 - 100.0 100.0
Lizzie Holder - 2 19.0 3.5 4.5 2.0 1.0 0.5 1.0 3.5 7.0 - - - 28.6 0.0 100.0 - 42.1 28.6
Morgan Demos - 2 7.5 3.0 3.5 1.5 0.0 0.0 0.0 2.5 5.5 - - - 60.0 0 0.0 - 55.1 60.0
Sam Schofield - 2 11.0 3.0 1.0 1.5 0.5 0.0 0.5 3.5 2.0 - - - 28.6 33.3 0 - 42.9 42.9
Gia Pissott - 1 7.0 2.0 2.0 0.0 1.0 0.0 2.0 1.0 2.0 - - - 100.0 0 0 - 100.0 100.0

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