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Cal St. Dom. Hills

Also known as: Cal St. Dom. Hills
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 β†’ 898 (#452) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 833 (#488) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More β†’ 1026 (#212) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More β†’ -3.9 (#214) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More β†’ -7.0 (#470) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β†’ 0.823 (#229) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -15.9 More β†’ 0.108 (#395) NetEff -15.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.2 More β†’ 0.901 (#204) AdjNet +19.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +19.2 More β†’ 0.907 (#206) AdjNet +19.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.1 | AdjD 61.6 More β†’ 0.757 (#206) AdjO 74.1 | AdjD 61.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.7 | AdjD 68.5 More β†’ 0.392 (#532) AdjO 63.7 | AdjD 68.5
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 β†’ 0.354 (#480) 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 β†’ 0.368 (#476) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 21 More β†’ 966 (#287) RD 102 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Western Wash. L 46 - 68
2025-11-15 @ Seattle Pacific L 61 - 64
2025-11-19 @ Point Loma L 48 - 73
2025-11-26 vs Westmont L 55 - 90
2025-11-29 @ Azusa Pacific L 77 - 79
2025-12-04 @ CSUSB W 75 - 64
2025-12-06 @ Cal Poly Pomona L 37 - 59
2025-12-19 vs Cal St. East Bay L 65 - 75
2025-12-21 vs San Fran. St. W 78 - 66
2026-01-02 @ Cal Poly Humboldt L 55 - 91
2026-01-10 vs Stanislaus St. W 79 - 74
2026-01-15 @ Cal St. Monterey Bay L 49 - 69
2026-01-17 @ Cal St. San Marcos W 82 - 76
2026-01-22 @ Cal State LA L 83 - 87
2026-01-24 vs Cal State LA L 65 - 78
2026-01-29 vs Chico St. W 64 - 57
2026-01-31 vs Cal Poly Humboldt W 51 - 49
2026-02-05 @ San Fran. St. W 62 - 60
2026-02-07 @ Cal St. East Bay W 93 - 76

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%
Bryanne Lopez-Wood - 19 28.5 10.3 5.2 4.2 1.7 1.2 2.9 10.0 9.6 -124 -5.9 -21.9 38.9 14.3 62.2 -0.05 44.0 39.5
Tiara Jones - 17 19.1 9.9 4.5 0.9 0.6 1.1 1.6 7.8 7.6 -46 -2.6 -15.0 48.5 0.0 75.9 0.12 54.3 48.5
Anela Thomas - 18 30.1 9.2 5.2 2.1 1.4 0.3 3.1 8.4 6.7 -102 -5.1 -20.7 42.1 23.8 68.8 0.91 47.9 43.8
Zanna Hurst - 19 27.1 7.8 1.8 0.9 1.1 0.2 1.4 8.0 2.4 -147 -7.0 -32.3 34.2 31.6 77.8 -1.36 46.6 44.4
Kylee Edgar - 18 23.1 7.8 4.4 1.3 1.0 0.1 1.8 9.1 3.7 -67 -3.4 -12.6 36.2 12.5 62.5 -0.08 39.8 37.1
Fatima Sani - 1 7.2 6.0 2.0 0.0 0.0 0.0 0.0 3.0 5.0 -3 -1.5 -21.3 100.0 0 0 1.08 100.0 100.0
A’moree Ferrel - 16 9.7 5.3 1.4 0.6 0.6 0.2 1.1 4.0 3.0 -40 -2.2 -27.0 43.8 39.5 53.8 1.95 56.3 55.5
Amaya Washington - 19 16.1 4.7 2.0 0.6 0.5 0.3 1.3 5.1 1.7 -85 -4.0 -20.7 32.0 28.3 76.9 -2.33 43.3 40.7
Leilani Abraham - 17 20.8 4.5 2.5 1.9 0.9 0.1 1.6 4.1 4.3 -49 -2.6 -16.1 31.9 20.8 73.7 3.98 44.9 35.5
Camryn Washington - 18 11.7 2.9 1.7 0.9 0.8 0.1 1.4 2.8 2.3 -58 -3.1 -34.9 38.0 33.3 65.0 -0.56 45.1 40.0
Jada Sanders - 9 10.1 2.6 1.8 0.1 0.8 0.1 1.0 2.9 1.4 -29 -2.9 -14.0 38.5 60.0 0.0 0.32 42.8 44.2
Jayla Love - 17 7.5 2.2 1.5 0.2 0.4 0.2 0.4 2.1 2.1 -56 -2.9 -53.3 45.7 0 31.6 -1.2 43.8 45.7
luvlee sadler - 16 8.3 1.6 2.9 0.2 0.2 0.0 0.9 1.9 2.1 6 0.5 6.1 22.6 0.0 64.7 2.1 32.5 22.6
N'Dya Parks - 10 5.4 0.6 1.0 0.2 0.2 0.0 0.5 0.8 0.7 14 1.4 43.5 12.5 0.0 66.7 1.64 28.2 12.5
Fatimah Sani - 4 1.5 0.5 1.0 0.0 0.0 0.0 0.0 0.8 0.8 12 3.0 134.0 33.3 0 0 1.31 33.3 33.3
Gabrielle White - 3 4.3 0.0 1.3 0.0 0.3 0.3 0.7 1.3 0.0 -8 -2.7 -1371.4 0.0 0 0 0.46 0.0 0.0
Cristina Oliva - 1 4.6 0.0 0.0 0.0 0.0 0.0 0.0 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