George Fox
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 → | 1083 (#147) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1060 (#223) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1019 (#295) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +8.5 (#125) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.5 (#223) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.508 (#445) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.976 (#108) | NetEff +26.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.571 (#338) | NetEff +2.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.675 (#318) | AdjNet +6.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.673 (#318) | AdjNet +6.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.586 (#312) | AdjO 61.8 | AdjD 57.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.635 (#191) | AdjO 62.9 | AdjD 56.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.660 (#252) | 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 → | 0.662 (#249) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1044 (#260) | RD 102 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-13 | vs | Corban | - | Incomplete score |
| 2025-11-19 | vs | Warner Pacific | - | Incomplete score |
| 2025-11-21 | @ | Chapman | - | Incomplete score |
| 2025-11-22 | @ | Whittier | - | Incomplete score |
| 2025-11-24 | @ | Redlands | - | Incomplete score |
| 2025-12-10 | vs | Seattle Pacific | - | Incomplete score |
| 2025-12-14 | @ | Mary Hardin-Baylor | - | Incomplete score |
| 2025-12-15 | @ | East Tex. Baptist | - | Incomplete score |
| 2025-12-17 | @ | Howard Payne | - | Incomplete score |
| 2026-01-16 | vs | Whitworth | - | Incomplete score |
| 2026-01-17 | vs | Whitman | - | Incomplete score |
| 2026-01-20 | vs | Pacific (OR) | - | Incomplete score |
| 2026-01-23 | @ | Linfield | - | Incomplete score |
| 2026-01-27 | @ | Willamette | - | Incomplete score |
| 2026-01-30 | vs | Puget Sound | - | Incomplete score |
| 2026-01-31 | vs | Pacific Lutheran | - | Incomplete score |
| 2026-02-07 | vs | Lewis & Clark | - | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hanne Hopkins | - | 14 | 31.7 | 13.6 | 5.6 | 4.2 | 1.3 | 0.1 | 3.6 | 9.7 | 11.6 | 7 | 0.4 | 4.3 | 48.5 | 37.5 | 85.9 | 0.4 | 57.9 | 49.6 |
| Kylie Ritter | - | 16 | 26.9 | 11.4 | 6.3 | 1.3 | 1.2 | 0.8 | 2.0 | 10.9 | 8.0 | -5 | -0.3 | -1.5 | 37.7 | 25.9 | 80.0 | -0.71 | 46.7 | 41.7 |
| Mia Skoro | - | 14 | 27.4 | 9.6 | 2.6 | 0.9 | 0.9 | 0.8 | 1.9 | 8.1 | 4.8 | 6 | 0.4 | 3.5 | 46.5 | 45.5 | 63.6 | -1.7 | 54.6 | 53.1 |
| Sophia Hardy | - | 16 | 27.9 | 7.9 | 4.6 | 1.3 | 1.2 | 0.1 | 1.6 | 7.8 | 5.9 | 22 | 1.2 | 7.8 | 42.7 | 14.3 | 80.0 | 0.61 | 47.8 | 44.8 |
| Tara Ushiro | - | 16 | 26.2 | 7.2 | 2.1 | 0.9 | 1.2 | 0.1 | 1.5 | 6.4 | 3.6 | 32 | 1.8 | 11.2 | 34.3 | 27.7 | 78.0 | 1.66 | 47.9 | 40.7 |
| Paige Macduff | - | 14 | 21.9 | 5.7 | 4.9 | 0.9 | 0.4 | 0.4 | 1.2 | 4.6 | 6.6 | 42 | 2.6 | 18.9 | 49.2 | 16.7 | 40.5 | 2.05 | 49.2 | 50.0 |
| Addison Dippel | - | 8 | 13.9 | 4.0 | 1.1 | 0.4 | 0.6 | 0.0 | 0.9 | 3.5 | 1.8 | 23 | 2.3 | 10.6 | 46.4 | 33.3 | 40.0 | 1.02 | 49.4 | 50.0 |
| Bella Arrisgado | - | 16 | 17.7 | 3.9 | 2.1 | 0.8 | 0.6 | 0.0 | 1.5 | 3.3 | 2.5 | 18 | 1.0 | 8.4 | 43.4 | 27.3 | 91.7 | -1.11 | 54.0 | 49.1 |
| Madeline Schumacher | - | 13 | 9.7 | 2.2 | 1.2 | 0.6 | 0.2 | 0.1 | 0.5 | 1.7 | 2.1 | 37 | 2.3 | 24.7 | 40.9 | 33.3 | 66.7 | 0.95 | 51.3 | 45.5 |
| Emma Boehm | - | 15 | 10.3 | 2.1 | 1.5 | 0.6 | 0.5 | 0.1 | 1.1 | 1.5 | 2.2 | 43 | 2.5 | 27.8 | 52.2 | 60.0 | 55.6 | 1.24 | 59.3 | 58.7 |
| Sophie Carbajal | - | 7 | 8.5 | 2.0 | 1.4 | 0.3 | 0.1 | 0.1 | 0.9 | 2.7 | 0.4 | 8 | 1.3 | 8.2 | 36.8 | 0.0 | 0.0 | -0.95 | 36.0 | 36.8 |
| Maddie Schumacher | - | 2 | 9.5 | 0.5 | 1.0 | 1.5 | 0.5 | 0.0 | 1.0 | 0.5 | 2.0 | 37 | 2.3 | 24.7 | 0.0 | 0 | 50.0 | 0.95 | 26.6 | 0.0 |
| Laney Snelling | - | 5 | 8.5 | 0.2 | 0.8 | 0.6 | 0.6 | 0.0 | 1.0 | 1.4 | -0.2 | - | - | - | 0.0 | 0.0 | 50.0 | -0.44 | 6.3 | 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