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Puget Sound

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Puget Sound
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 → 1108 (#65) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1182 (#65) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1164 (#47) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +11.6 (#80) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +12.7 (#183) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.723 (#355) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +15.2 More → 0.905 (#153) NetEff +15.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.6 More → 0.843 (#243) AdjNet +14.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +14.4 More → 0.845 (#247) AdjNet +14.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.8 | AdjD 57.0 More → 0.690 (#244) AdjO 65.8 | AdjD 57.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.8 | AdjD 53.5 More → 0.736 (#92) AdjO 64.8 | AdjD 53.5
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 → 0.807 (#127) 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 → 0.809 (#124) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 21 More → 1216 (#62) RD 104 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Pomona-Pitzer W 70 - 58
2025-11-21 vs Colorado Col. L 54 - 59
2025-11-22 @ Dallas W 79 - 30
2025-11-26 @ Whittier W 54 - 51
2025-11-28 @ Chapman W 49 - 41
2025-11-30 @ Occidental L 58 - 60
2025-12-10 @ Evergreen St. W 88 - 49
2025-12-29 vs Middlebury W 42 - 36
2026-01-10 @ Willamette W 62 - 46
2026-01-16 vs Linfield L 56 - 65
2026-01-17 vs Pacific (OR) W 51 - 49
2026-01-23 @ Whitworth W 68 - 52
2026-01-24 vs Whitman L 68 - 77
2026-01-30 @ George Fox W 77 - 56
2026-01-31 @ Lewis & Clark W 73 - 66
2026-02-03 vs Pacific Lutheran W 84 - 42
2026-02-06 vs Willamette W 68 - 57

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%
Carmen Cruz - 15 24.1 11.8 4.3 1.5 0.9 0.3 2.8 12.9 3.1 40 2.1 11.4 34.7 25.3 82.1 -2.2 43.1 39.9
Brooklyn Giles - 1 32.0 10.0 11.0 4.0 3.0 3.0 3.0 14.0 14.0 - - - 35.7 0.0 0.0 - 34.6 35.7
Yaneli Rosales Beltran - 1 33.0 10.0 2.0 3.0 1.0 0.0 1.0 8.0 7.0 - - - 50.0 25.0 100.0 - 59.2 56.2
Kennedy Perkins - 1 30.0 9.0 3.0 1.0 2.0 3.0 2.0 9.0 7.0 -27 -1.4 -21.2 44.4 0.0 50.0 -0.85 45.5 44.4
Shushan Krikorian - 1 28.0 9.0 1.0 2.0 0.0 0.0 2.0 9.0 1.0 - - - 44.4 50.0 0.0 - 45.5 50.0
Mele Sake - 16 16.7 8.8 5.1 0.8 0.6 0.8 1.5 7.3 7.2 89 4.5 43.3 50.4 14.3 65.6 3.57 53.4 50.9
Hailey Quiggle - 15 21.9 8.3 3.9 1.3 0.5 0.3 1.8 8.0 4.5 40 2.2 12.2 39.2 30.9 71.4 -1.05 50.4 49.6
Paige Oh - 13 18.0 7.5 1.0 1.5 1.5 0.1 1.2 6.1 4.2 71 4.4 29.8 39.2 43.2 76.0 2.51 53.9 49.4
Natalia Sefair-Lopez - 16 21.0 7.2 2.4 1.1 1.3 0.0 1.1 6.0 5.0 74 3.7 21.1 34.4 25.0 90.9 2.23 50.3 39.6
Jadyn Patterson - 1 35.0 6.0 2.0 2.0 3.0 0.0 4.0 5.0 4.0 87 4.1 21.0 40.0 50.0 0 1.96 60.0 60.0
Grace Lee - 16 21.5 5.6 5.2 1.5 1.3 0.1 1.9 6.9 4.9 85 4.2 30.1 33.6 20.0 56.5 3.39 37.0 34.5
Savannah Pohl - 15 18.6 5.4 4.1 1.1 1.1 0.3 1.2 3.8 6.9 91 4.8 34.8 49.1 33.3 75.0 3.23 57.0 50.0
Claire Thompson - 16 20.2 4.9 2.6 2.1 0.9 0.6 2.6 4.6 4.0 110 5.5 41.0 45.2 0 41.9 2.25 45.6 45.2
Cayton Smith - 14 13.9 4.4 2.6 0.9 0.8 0.1 0.8 4.6 3.4 0 0.0 0.0 34.4 25.0 71.4 1.09 45.5 43.8
Autumn Hill - 16 18.2 3.4 6.6 0.6 0.5 2.5 1.5 2.2 9.8 74 3.7 25.8 63.9 0 42.1 0.38 60.9 63.9
Bella Blum - 1 9.0 3.0 1.0 0.0 0.0 0.0 0.0 3.0 1.0 - - - 33.3 50.0 0 - 50.0 50.0
KK Guy - 1 16.0 3.0 0.0 1.0 0.0 0.0 1.0 3.0 0.0 - - - 33.3 50.0 0 - 50.0 50.0
Brianna Forbess - 15 10.2 1.2 2.3 0.3 0.5 0.1 0.6 1.9 1.9 27 1.4 37.5 25.0 50.0 100.0 -2.5 31.2 28.6
Katie Anderson - 8 6.6 1.1 0.9 0.1 0.4 0.1 0.4 1.9 0.4 -17 -1.9 -31.9 20.0 8.3 50.0 -1.38 26.8 23.3
Delaney Castagna - 1 14.0 1.0 3.0 0.0 0.0 1.0 0.0 2.0 3.0 - - - 0.0 0 50.0 - 17.4 0.0
Ayana Peterson-Henry - 6 5.8 0.3 1.3 0.3 0.2 0.2 0.3 0.3 1.7 5 0.7 14.9 50.0 0 0 -0.52 50.0 50.0
Helen Rosales Beltran - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Lanakila Nitta - 1 3.0 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