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Army West Point

Season: 2026 2017 2015 2014
Also known as: Army West Point
Program History

Model Outputs

2025-2026
Catalog

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 → 1032 (#173) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1035 (#220) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1011 (#308) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +19.9 (#89) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.998 (#76) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +53.5 More → 0.998 (#59) NetEff +53.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +33.2 More → 0.979 (#100) AdjNet +33.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +32.6 More → 0.981 (#103) AdjNet +32.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.5 | AdjD 59.4 More → 0.891 (#88) AdjO 82.5 | AdjD 59.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.7 | AdjD 62.5 More → 0.595 (#176) AdjO 66.7 | AdjD 62.5
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 → 0.827 (#76) 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 → 0.796 (#93) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1088 (#137) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Pace W 86 - 50

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%
Taylor Wilson - 1 25.1 20.0 2.0 3.0 1.0 1.0 2.0 14.0 11.0 - - - 57.1 57.1 0 - 71.4 71.4
Reese Ericson - 1 28.7 18.0 2.0 4.0 1.0 0.0 1.0 9.0 15.0 - - - 66.7 66.7 0 - 100.0 100.0
Kya Smith - 1 34.5 14.0 8.0 2.0 1.0 2.0 2.0 8.0 17.0 -13 -1.9 -15.4 75.0 0.0 66.7 -0.3 75.1 75.0
Reganne Reardon - 1 20.6 11.0 8.0 2.0 0.0 0.0 1.0 9.0 11.0 - - - 55.6 50.0 0 - 61.1 61.1
Stella Chartrand - 1 10.5 7.0 2.0 0.0 1.0 0.0 0.0 8.0 2.0 - - - 37.5 16.7 0 - 43.8 43.8
Soleil Montrose - 1 15.8 7.0 3.0 1.0 0.0 0.0 0.0 5.0 6.0 - - - 60.0 33.3 0 - 70.0 70.0
Brooke Wilson - 1 24.6 4.0 10.0 9.0 2.0 0.0 2.0 6.0 17.0 - - - 33.3 0.0 0 - 33.3 33.3
Audrey Annee - 1 4.7 3.0 0.0 0.0 0.0 0.0 0.0 2.0 1.0 - - - 50.0 50.0 0 - 75.0 75.0
Camryn Tade - 1 27.9 2.0 4.0 6.0 0.0 0.0 1.0 8.0 3.0 - - - 12.5 0.0 0 - 12.5 12.5
Landry Sherrer - 1 1.9 0.0 1.0 1.0 0.0 0.0 0.0 1.0 1.0 - - - 0.0 0 0 - 0.0 0.0
Kelly Cramer - 1 1.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Jane Preston - 1 3.6 0.0 2.0 0.0 0.0 0.0 1.0 1.0 0.0 - - - 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