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Seattle Pacific

Season: 2026 2025 2024 2022 2021
Also known as: Seattle Pacific
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 → 1078 (#186) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1024 (#269) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +27.6 (#82) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.988 (#152) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +34.3 More → 0.982 (#134) AdjNet +34.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +33.5 More → 0.982 (#138) AdjNet +33.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.7 | AdjD 51.7 More → 0.860 (#143) AdjO 71.7 | AdjD 51.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.7 | AdjD 57.7 More → 0.674 (#153) AdjO 65.7 | AdjD 57.7
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 → 0.839 (#113) 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 → 0.812 (#123) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 322 | GP 1 More → 1148 (#110) RD 322 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-10 @ George Fox W 69 - 50

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 Rubino - 1 22.9 19.0 6.0 0.0 1.0 1.0 0.0 12.0 15.0 - - - 66.7 0 60.0 - 66.9 66.7
Grace Mertes - 1 16.2 12.0 3.0 2.0 1.0 0.0 0.0 6.0 12.0 - - - 66.7 66.7 0 - 100.0 100.0
Layne Kearns - 1 32.0 10.0 7.0 5.0 1.0 2.0 3.0 15.0 7.0 - - - 33.3 0.0 0 - 33.3 33.3
Grace Turley - 1 35.5 9.0 3.0 3.0 5.0 0.0 3.0 10.0 7.0 - - - 30.0 33.3 100.0 - 41.4 35.0
Grace Leasure - 1 17.6 9.0 2.0 0.0 1.0 2.0 0.0 4.0 10.0 - - - 75.0 0 75.0 - 78.1 75.0
Naomi Hotchkiss - 1 7.6 5.0 1.0 1.0 0.0 0.0 1.0 3.0 3.0 - - - 66.7 0 50.0 - 64.4 66.7
Ava Mai - 1 3.7 2.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 - - - 100.0 0 0 - 100.0 100.0
Cascadia Yates - 1 5.9 1.0 2.0 0.0 0.0 0.0 0.0 1.0 2.0 - - - 0.0 0 50.0 - 26.6 0.0
Julia Lavigne - 1 6.0 1.0 3.0 0.0 0.0 0.0 0.0 0.0 4.0 - - - 0 0 50.0 - 56.8 0
Jasmine Pho - 1 3.4 1.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 50.0 - 56.8 0
Pippa Krieger - 1 2.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Haylie-Anne Ohta - 1 28.5 0.0 3.0 3.0 3.0 0.0 4.0 3.0 2.0 - - - 0.0 0.0 0 - 0.0 0.0
Jadlyn Senderson - 1 8.7 0.0 2.0 0.0 2.0 0.0 2.0 0.0 2.0 - - - 0 0 0 - 0 0
Layla Senderson - 1 9.7 0.0 0.0 1.0 0.0 0.0 1.0 1.0 -1.0 - - - 0.0 0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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