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Bethesda (CA)

Also known as: Bethesda (CA)
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 → 981 (#273) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 933 (#423) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 978 (#517) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -52.2 (#429) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -45.0 (#709) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.004 (#728) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -84.5 More → 0.000 (#601) NetEff -84.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -36.3 More → 0.014 (#653) AdjNet -36.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -36.4 More → 0.012 (#657) AdjNet -36.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.4 | AdjD 84.3 More → 0.080 (#670) AdjO 57.4 | AdjD 84.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 54.3 | AdjD 65.3 More → 0.268 (#625) AdjO 54.3 | AdjD 65.3
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 → 0.055 (#691) 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 → 0.073 (#685) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 315 | GP 1 More → 897 (#416) RD 315 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-12 @ Occidental L 29 - 89

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%
Mary Gonzales - 1 37.7 15.0 3.0 0.0 3.0 0.0 4.0 21.0 -4.0 - - - 28.6 50.0 66.7 - 33.6 31.0
Genevieve Saechow - 1 39.1 8.0 5.0 0.0 2.0 0.0 2.0 16.0 -3.0 - - - 18.8 0.0 100.0 - 23.7 18.8
Sophie Jimenez - 1 35.5 4.0 2.0 2.0 2.0 0.0 1.0 10.0 -1.0 - - - 10.0 0.0 50.0 - 17.0 10.0
UNKNOWN TEAM - 1 36.8 2.0 5.0 0.0 2.0 0.0 2.0 4.0 3.0 - - - 25.0 0 0 - 25.0 25.0
Marjorie Parada - 1 23.5 0.0 4.0 0.0 1.0 1.0 3.0 5.0 -2.0 - - - 0.0 0.0 0 - 0.0 0.0
Malo Faalaulau - 1 27.4 0.0 2.0 1.0 0.0 1.0 0.0 4.0 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