Puget Sound
Model Outputs
2025-2026
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 → | 1130 (#101) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1206 (#61) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1164 (#47) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.7 (#91) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More → | 0.905 (#153) | NetEff +15.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.843 (#243) | AdjNet +14.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.845 (#247) | AdjNet +14.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. More → | 1219 (#60) | RD 104 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | vs | Pomona-Pitzer | - | Incomplete score |
| 2025-11-21 | vs | Colorado Col. | - | Incomplete score |
| 2025-11-22 | @ | Dallas | - | Incomplete score |
| 2025-11-26 | @ | Whittier | - | Incomplete score |
| 2025-11-28 | @ | Chapman | - | Incomplete score |
| 2025-11-30 | @ | Occidental | - | Incomplete score |
| 2025-12-10 | @ | Evergreen St. | - | Incomplete score |
| 2025-12-29 | vs | Middlebury | - | Incomplete score |
| 2026-01-10 | @ | Willamette | - | Incomplete score |
| 2026-01-16 | vs | Linfield | - | Incomplete score |
| 2026-01-17 | vs | Pacific (OR) | - | Incomplete score |
| 2026-01-23 | @ | Whitworth | - | Incomplete score |
| 2026-01-24 | vs | Whitman | - | Incomplete score |
| 2026-01-30 | @ | George Fox | - | Incomplete score |
| 2026-01-31 | @ | Lewis & Clark | - | Incomplete score |
| 2026-02-03 | vs | Pacific Lutheran | - | Incomplete score |
| 2026-02-06 | vs | Willamette | - | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | -1.25 | 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 | 0.25 | 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 | 1.52 | 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 | -0.34 | 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 | 1.32 | 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 | 3.56 | 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 | -1.37 | 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 | 2.74 | 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 | -0.14 | 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 | -1.19 | 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 | 1.25 | 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 | 2.75 | 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 | 3.02 | 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 | -0.73 | 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 | 0.88 | 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 | -2.61 | 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 | -1.15 | 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 | -3.09 | 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 | -2.25 | 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 | -1.71 | 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 | 0.4 | 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 | -2.67 | 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