🐻⬇️🏀

San Diego St.

Season: 2024 2022 2013
Also known as: San Diego St.
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 → 1018 (#234) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1052 (#191) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1013 (#295) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +15.3 (#148) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#60) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +83.0 More → 1.000 (#7) NetEff +83.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +61.9 More → 0.999 (#10) AdjNet +61.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +61.7 More → 0.999 (#11) AdjNet +61.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 86.6 | AdjD 46.6 More → 0.974 (#10) AdjO 86.6 | AdjD 46.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.4 | AdjD 64.2 More → 0.483 (#407) AdjO 63.4 | AdjD 64.2
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 → 0.673 (#208) 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 → 0.679 (#196) 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 → 1071 (#179) RD 350 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-12-04 vs Cal State LA W 76 - 71

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%
Adryana Quezada - 1 33.0 19.0 10.0 1.0 0.0 0.0 2.0 13.0 15.0 - - - 53.8 0.0 83.3 - 60.7 53.8
Abby Prohaska - 1 31.0 15.0 9.0 2.0 0.0 0.0 2.0 11.0 13.0 - - - 54.5 100.0 100.0 - 63.1 59.1
Kim Villalobos - 1 34.0 13.0 8.0 1.0 1.0 1.0 2.0 14.0 8.0 - - - 35.7 0 75.0 - 41.2 35.7
Sarah Barcello - 1 38.0 8.0 5.0 0.0 0.0 0.0 0.0 7.0 6.0 - - - 42.9 40.0 0 - 57.1 57.1
Khylee Pepe - 1 18.0 8.0 3.0 1.0 3.0 0.0 2.0 6.0 7.0 - - - 50.0 0.0 50.0 - 51.5 50.0
Jada Lewis - 1 41.0 7.0 4.0 2.0 2.0 0.0 1.0 9.0 5.0 7 0.8 1.9 11.1 0.0 83.3 0.07 30.1 11.1
Alyssa Jackson - 1 15.0 6.0 3.0 1.0 1.0 1.0 0.0 7.0 5.0 57 4.1 5.8 14.3 100.0 75.0 0.44 34.2 21.4
Emaya Trahan - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Natalija Grizelj - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Ellie Chen - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Meghan Fiso - 1 14.0 0.0 3.0 0.0 1.0 0.0 2.0 3.0 -1.0 - - - 0.0 0.0 0 0.26 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