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Navy

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

Model Outputs

2025-2026
Catalog

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

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-14 vs Chris. Newport W 82 - 47

2026 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 22.1 13.0 6.0 2.0 3.0 0.0 1.0 8.0 15.0 - - - 62.5 0.0 75.0 - 66.6 62.5
Mary Gibbons - 1 10.3 12.0 0.0 2.0 1.0 0.0 2.0 7.0 6.0 - - - 57.1 57.1 0 - 85.7 85.7
Kate Samson - 1 11.8 10.0 6.0 1.0 0.0 1.0 2.0 7.0 9.0 - - - 71.4 0 0 - 71.4 71.4
Nia Henley - 1 16.4 10.0 3.0 1.0 4.0 1.0 2.0 7.0 10.0 - - - 57.1 50.0 33.3 - 60.1 64.3
Maren Louridas - 1 14.0 9.0 3.0 0.0 1.0 1.0 1.0 4.0 9.0 - - - 100.0 100.0 0 - 112.5 112.5
Saran Moschella - 1 10.0 8.0 3.0 3.0 1.0 0.0 0.0 4.0 11.0 - - - 75.0 66.7 0 - 100.0 100.0
Quinn Boettinger - 1 12.2 7.0 5.0 0.0 0.0 1.0 0.0 4.0 9.0 - - - 50.0 0 42.9 - 49.4 50.0
Sidney Quinn - 1 13.4 6.0 0.0 1.0 0.0 0.0 2.0 2.0 3.0 - - - 100.0 0 100.0 - 104.2 100.0
Zoe Mesuch - 1 20.8 3.0 1.0 4.0 1.0 0.0 1.0 9.0 -1.0 - - - 11.1 16.7 0 - 16.7 16.7
Julianna Almeida - 1 19.3 2.0 2.0 1.0 0.0 0.0 0.0 3.0 2.0 - - - 33.3 0.0 0 - 33.3 33.3
Christina Liggio - 1 11.0 2.0 3.0 2.0 0.0 0.0 1.0 1.0 5.0 - - - 0.0 0.0 100.0 - 53.2 0.0
Kelli Giuliani - 1 13.2 0.0 0.0 2.0 3.0 0.0 0.0 3.0 2.0 - - - 0.0 0.0 0 - 0.0 0.0
Grace Minihane - 1 12.3 0.0 1.0 0.0 1.0 0.0 2.0 1.0 -1.0 - - - 0.0 0 0 - 0.0 0.0
Morgan Demos - 1 8.3 0.0 3.0 2.0 0.0 1.0 2.0 2.0 2.0 - - - 0.0 0.0 0 - 0.0 0.0
Lizzie Holder - 1 5.0 0.0 1.0 0.0 1.0 0.0 0.0 3.0 -1.0 - - - 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