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Cal Poly Humboldt

Also known as: Cal Poly Humboldt
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 → 1148 (#66) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1093 (#113) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1054 (#128) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +11.7 (#103) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +1.0 (#351) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.404 (#398) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +10.7 More → 0.810 (#177) NetEff +10.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.9 More → 0.555 (#381) AdjNet +1.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.1 More → 0.562 (#381) AdjNet +2.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.2 | AdjD 62.0 More → 0.526 (#383) AdjO 63.2 | AdjD 62.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.9 | AdjD 60.3 More → 0.558 (#231) AdjO 62.9 | AdjD 60.3
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 → 0.589 (#275) 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 → 0.587 (#272) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 22 More → 1077 (#165) RD 95 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Northwest Nazarene - Incomplete score
2025-11-15 vs Central Wash. - Incomplete score
2025-11-22 @ Biola - Incomplete score
2025-11-29 vs Jessup - Incomplete score
2025-12-04 vs Stanislaus St. - Incomplete score
2025-12-06 vs UC Merced - Incomplete score
2025-12-13 vs Western Ore. - Incomplete score
2025-12-15 vs Saint Martin's - Incomplete score
2025-12-19 @ Cal St. San Marcos - Incomplete score
2025-12-21 @ Cal St. Monterey Bay - Incomplete score
2026-01-02 vs Cal St. Dom. Hills - Incomplete score
2026-01-10 @ Cal St. East Bay - Incomplete score
2026-01-15 vs Chico St. - Incomplete score
2026-01-17 @ Chico St. - Incomplete score
2026-01-22 vs Cal Poly Pomona - Incomplete score
2026-01-24 vs CSUSB - Incomplete score
2026-01-29 @ Cal State LA - Incomplete score
2026-01-31 @ Cal St. Dom. Hills - Incomplete score
2026-02-05 @ UC Merced - Incomplete score
2026-02-07 @ Stanislaus St. - Incomplete score

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%
Jordyn Smith - 20 31.6 13.3 10.4 1.4 1.0 3.0 2.5 11.6 15.2 74 3.4 12.9 50.9 0.0 53.4 2.15 51.8 50.9
Shade Satica - 20 31.6 10.8 6.7 2.9 4.0 0.1 3.6 10.5 10.3 125 5.7 22.9 40.0 31.5 66.7 2.63 47.6 45.5
Kyori Lloyd - 17 21.8 10.4 4.2 0.4 0.4 0.1 1.6 8.4 5.4 29 1.5 7.5 42.3 33.3 75.0 -1.13 53.4 48.2
Sienna Cherwinski - 20 33.3 9.8 2.6 1.7 1.6 0.1 1.9 8.8 5.2 95 4.3 14.9 38.6 35.7 74.3 -2.09 51.5 48.6
Jada Barnes - 20 19.8 7.9 1.9 1.9 1.9 0.1 2.5 6.3 5.0 50 2.3 17.6 43.7 29.5 62.5 -1.58 52.4 48.8
Riley Sanz - 20 24.8 7.2 5.5 2.1 1.4 0.3 2.6 6.2 7.8 101 4.6 23.1 40.3 36.0 77.1 0.79 52.0 47.6
Kya Kanoho - 20 22.2 5.7 1.9 1.6 1.1 0.1 1.6 6.8 1.9 96 4.4 20.0 29.2 23.1 85.7 1.41 38.6 34.7
Leamsi Acuna - 18 9.8 3.7 1.1 0.5 0.5 0.0 0.4 3.8 1.7 48 2.4 35.7 32.4 32.8 100.0 -0.17 48.0 46.3
Keana Gosney - 18 9.9 2.2 1.2 0.6 0.6 0.1 0.6 2.5 1.4 60 3.0 24.2 26.7 15.4 65.0 1.1 36.2 28.9
Kyra Stewart - 7 2.5 0.6 0.1 0.1 0.0 0.0 0.0 0.7 0.1 6 0.9 30.3 40.0 0.0 0 - 40.0 40.0
Shayla Kantarevic - 5 2.0 0.6 0.4 0.4 0.0 0.0 0.2 0.6 0.6 -13 -3.2 -190.2 33.3 33.3 0 - 50.0 50.0
Jaden Hill-Massarotti - 2 2.2 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