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Santa Clara

Season: 2026 2025 2024 2022 2019 2018 2015 2014
Also known as: Santa Clara
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
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1019 (#218) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1017 (#268) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1011 (#310) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +25.8 (#44) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#43) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +63.4 More → 1.000 (#29) NetEff +63.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +49.0 More → 0.997 (#39) AdjNet +49.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +48.3 More → 0.997 (#40) AdjNet +48.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.1 | AdjD 49.1 More → 0.949 (#40) AdjO 81.1 | AdjD 49.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.4 | AdjD 62.9 More → 0.644 (#126) AdjO 69.4 | AdjD 62.9
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 → 0.851 (#59) 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 → 0.811 (#80) Blend of Elo, BT, Margin, PythLog, PtsOD

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-12-10 vs Menlo W 80 - 39

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%
Olivia Pollerd - 1 22.0 18.0 5.0 0.0 2.0 1.0 1.0 15.0 10.0 - - - 53.3 28.6 0 - 60.0 60.0
Tess Heal - 1 26.0 10.0 6.0 8.0 0.0 1.0 4.0 11.0 10.0 - - - 18.2 0.0 100.0 - 36.7 18.2
Jayde Cadee - 1 16.0 9.0 3.0 1.0 0.0 0.0 0.0 9.0 4.0 - - - 33.3 37.5 0 - 50.0 50.0
Marya Hudgins - 1 18.0 9.0 13.0 0.0 1.0 0.0 2.0 8.0 13.0 - - - 37.5 50.0 100.0 - 50.7 43.8
Lara Edmanson - 1 19.0 8.0 5.0 1.0 1.0 0.0 0.0 4.0 11.0 - - - 75.0 100.0 0 - 100.0 100.0
Emma Shaffer - 1 11.0 8.0 3.0 0.0 1.0 0.0 0.0 3.0 9.0 - - - 66.7 0 100.0 - 84.0 66.7
Keeley Frawley - 1 23.0 5.0 9.0 2.0 1.0 0.0 2.0 3.0 12.0 - - - 66.7 50.0 0 - 83.3 83.3
Georgia Grigoropoulou - 1 7.0 4.0 3.0 1.0 0.0 0.0 2.0 2.0 4.0 - - - 100.0 0 0 0.04 100.0 100.0
Malia Latu - 1 11.0 4.0 1.0 1.0 1.0 0.0 2.0 4.0 1.0 - - - 50.0 0 0.0 0.35 45.0 50.0
Danja Stafford - 1 5.0 3.0 1.0 0.0 0.0 0.0 0.0 2.0 2.0 - - - 50.0 0 50.0 - 52.1 50.0
Rafailia Stergaki - 1 4.0 2.0 0.0 0.0 2.0 0.0 0.0 1.0 3.0 - - - 100.0 0 0 - 100.0 100.0
Madison Naro - 1 17.0 0.0 1.0 3.0 0.0 0.0 0.0 2.0 2.0 - - - 0.0 0.0 0 0.27 0.0 0.0
Ashley Hiraki - 1 19.0 0.0 4.0 4.0 2.0 1.0 1.0 6.0 4.0 - - - 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