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Menlo

Season: 2026 2025 2024 2023 2015
Also known as: Menlo
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 → 1076 (#192) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1020 (#292) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +20.4 (#115) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.864 (#264) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +8.5 More → 0.724 (#269) NetEff +8.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +17.1 More → 0.878 (#229) AdjNet +17.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.7 More → 0.877 (#231) AdjNet +16.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.9 | AdjD 65.8 More → 0.733 (#218) AdjO 76.9 | AdjD 65.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.1 | AdjD 62.1 More → 0.674 (#154) AdjO 70.1 | AdjD 62.1
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 → 0.759 (#160) 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 → 0.731 (#180) 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 → 1118 (#131) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-25 @ UC Santa Cruz W 87 - 80

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%
Alberte Frisch - 1 33.1 27.0 5.0 3.0 2.0 1.0 3.0 14.0 21.0 - - - 64.3 75.0 75.0 - 85.7 85.7
Frida Schmidt - 1 26.8 12.0 3.0 0.0 0.0 0.0 0.0 8.0 7.0 - - - 50.0 57.1 0 - 75.0 75.0
Angel Allen - 1 17.8 10.0 2.0 1.0 1.0 0.0 3.0 3.0 8.0 -43 -2.3 -15.1 100.0 0 100.0 -0.42 105.0 100.0
Jayonnah Carter - 1 26.4 10.0 6.0 1.0 1.0 0.0 4.0 7.0 7.0 38 2.5 72.1 28.6 50.0 100.0 0.98 54.3 35.7
Taylor Westbrook - 1 21.3 9.0 4.0 1.0 0.0 0.0 0.0 11.0 3.0 - - - 27.3 0.0 75.0 - 35.3 27.3
Nadia Brown - 1 16.9 7.0 0.0 1.0 4.0 0.0 0.0 5.0 7.0 9 1.5 229.8 60.0 33.3 0 0.71 70.0 70.0
Zoe Carrillo - 1 20.1 6.0 1.0 1.0 0.0 1.0 0.0 5.0 4.0 - - - 60.0 0 0 - 60.0 60.0
Madeline Bader - 1 13.2 4.0 2.0 2.0 2.0 0.0 1.0 3.0 6.0 - - - 33.3 0.0 100.0 - 51.5 33.3
Faye Borchert - 1 7.3 2.0 3.0 0.0 0.0 0.0 1.0 2.0 2.0 - - - 50.0 0 0 - 50.0 50.0
Mehkia Applewhite - 1 14.7 0.0 4.0 2.0 0.0 0.0 1.0 4.0 1.0 -66 -3.5 -47.6 0.0 0 0 0.83 0.0 0.0
Rachel Brans - 1 2.4 0.0 0.0 0.0 0.0 0.0 0.0 2.0 -2.0 - - - 0.0 0.0 0 - 0.0 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