🐻⬇️🏀

Cal Poly Pomona

Season: 2026
Also known as: Cal Poly Pomona
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 → 1093 (#161) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1013 (#345) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +30.9 (#68) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.992 (#149) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +35.3 More → 0.992 (#85) NetEff +35.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +31.4 More → 0.974 (#147) AdjNet +31.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +30.6 More → 0.975 (#148) AdjNet +30.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.2 | AdjD 58.5 More → 0.878 (#136) AdjO 80.2 | AdjD 58.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.0 | AdjD 60.0 More → 0.674 (#155) AdjO 68.0 | AdjD 60.0
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 → 0.878 (#80) 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 → 0.840 (#106) 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 → 1098 (#167) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Pomona-Pitzer W 88 - 58

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%
Madison Eade - 1 23.7 18.0 1.0 1.0 4.0 0.0 0.0 10.0 14.0 - - - 70.0 0 66.7 - 71.2 70.0
Sydney Nelson - 1 19.5 18.0 3.0 0.0 3.0 0.0 1.0 13.0 10.0 -73 -4.9 -55.6 61.5 0 66.7 1.63 62.8 61.5
Jeanette Fine - 1 14.7 11.0 5.0 1.0 1.0 0.0 3.0 5.0 10.0 - - - 100.0 100.0 0.0 - 101.1 110.0
Andrea Stajic - 1 23.4 11.0 3.0 1.0 3.0 0.0 0.0 11.0 7.0 - - - 45.5 0.0 100.0 - 48.1 45.5
Kadence Lloyd - 1 17.3 7.0 1.0 1.0 2.0 0.0 2.0 4.0 5.0 - - - 50.0 0.0 75.0 - 60.8 50.0
Alexis Woodson - 1 19.9 6.0 7.0 2.0 2.0 0.0 4.0 4.0 9.0 - - - 25.0 0 100.0 - 52.1 25.0
Mydrea Moore - 1 24.0 6.0 6.0 2.0 1.0 0.0 1.0 12.0 2.0 - - - 25.0 0 0.0 - 23.3 25.0
Hunter Hudson - 1 11.3 4.0 2.0 1.0 2.0 0.0 0.0 2.0 7.0 - - - 50.0 0 100.0 - 69.4 50.0
Jolleen Olia - 1 10.5 4.0 0.0 0.0 0.0 0.0 1.0 2.0 1.0 - - - 100.0 0 0 - 100.0 100.0
Keke Scott - 1 9.0 2.0 1.0 1.0 0.0 0.0 1.0 1.0 2.0 21 2.6 37.3 100.0 0 0 -2.1 100.0 100.0
Brielle Minor - 1 20.8 1.0 5.0 3.0 0.0 0.0 2.0 2.0 5.0 - - - 0.0 0 25.0 - 13.3 0.0
Khamiyah Anderson - 1 5.8 0.0 3.0 0.0 0.0 0.0 3.0 0.0 0.0 76 4.5 36.7 0 0 0 1.0 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