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 → | 1054 (#127) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1048 (#249) | - |
| 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 → | +8.0 (#108) | HCA +2.3 |
| 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 (#251) | 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 → | 1039 (#268) | RD 103 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-13 | vs | Corban | L | 72 - 75 |
| 2025-11-19 | vs | Warner Pacific | W | 67 - 55 |
| 2025-11-21 | @ | Chapman | L | 60 - 72 |
| 2025-11-22 | @ | Whittier | W | 66 - 64 |
| 2025-11-24 | @ | Redlands | W | 62 - 61 |
| 2025-12-10 | vs | Seattle Pacific | L | 50 - 69 |
| 2025-12-14 | @ | Mary Hardin-Baylor | W | 48 - 47 |
| 2025-12-15 | @ | East Tex. Baptist | L | 46 - 52 |
| 2025-12-17 | @ | Howard Payne | L | 52 - 59 |
| 2026-01-16 | vs | Whitworth | W | 58 - 44 |
| 2026-01-17 | vs | Whitman | L | 66 - 79 |
| 2026-01-20 | vs | Pacific (OR) | W | 63 - 51 |
| 2026-01-23 | @ | Linfield | L | 69 - 74 |
| 2026-01-27 | @ | Willamette | W | 65 - 41 |
| 2026-01-30 | vs | Puget Sound | L | 56 - 77 |
| 2026-01-31 | vs | Pacific Lutheran | W | 75 - 45 |
| 2026-02-07 | vs | Lewis & Clark | W | 75 - 66 |
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 | - | 15 | 31.4 | 13.1 | 5.6 | 4.1 | 1.2 | 0.1 | 3.5 | 9.7 | 11.0 | 7 | 0.4 | 4.3 | 46.9 | 37.5 | 86.4 | 2.41 | 56.3 | 47.9 |
| Kylie Ritter | - | 17 | 26.9 | 11.1 | 6.3 | 1.2 | 1.1 | 0.7 | 2.0 | 10.6 | 7.8 | -5 | -0.3 | -1.5 | 37.6 | 26.3 | 78.7 | -0.54 | 46.6 | 41.7 |
| Mia Skoro | - | 15 | 27.5 | 9.9 | 2.7 | 0.9 | 0.9 | 0.7 | 1.9 | 8.5 | 4.7 | 6 | 0.4 | 3.5 | 44.5 | 42.9 | 69.0 | -1.08 | 52.9 | 50.4 |
| Sophia Hardy | - | 17 | 27.5 | 7.8 | 4.4 | 1.2 | 1.2 | 0.2 | 1.6 | 7.5 | 5.6 | 22 | 1.2 | 7.8 | 43.0 | 17.9 | 80.0 | -1.2 | 48.6 | 45.7 |
| Tara Ushiro | - | 17 | 25.8 | 6.8 | 2.0 | 0.9 | 1.2 | 0.1 | 1.7 | 6.4 | 2.9 | 32 | 1.8 | 11.2 | 32.4 | 25.0 | 78.0 | 3.47 | 45.6 | 38.4 |
| Paige Macduff | - | 15 | 21.9 | 5.7 | 4.7 | 0.9 | 0.5 | 0.4 | 1.3 | 4.6 | 6.3 | 42 | 2.6 | 18.9 | 50.7 | 14.3 | 40.5 | 1.77 | 50.4 | 51.4 |
| Bella Arrisgado | - | 17 | 18.1 | 4.3 | 2.2 | 0.7 | 0.7 | 0.0 | 1.6 | 3.5 | 2.8 | 18 | 1.0 | 8.4 | 45.0 | 30.8 | 91.7 | -1.35 | 55.9 | 51.7 |
| 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 | 1.91 | 49.4 | 50.0 |
| Emma Boehm | - | 16 | 10.3 | 2.0 | 1.4 | 0.6 | 0.6 | 0.1 | 1.0 | 1.5 | 2.1 | 43 | 2.5 | 27.8 | 50.0 | 50.0 | 55.6 | -0.66 | 57.2 | 56.2 |
| Madeline Schumacher | - | 14 | 9.7 | 2.0 | 1.4 | 0.7 | 0.2 | 0.1 | 0.6 | 1.6 | 2.1 | 37 | 2.3 | 24.7 | 39.1 | 28.6 | 66.7 | 3.43 | 49.5 | 43.5 |
| Sophie Carbajal | - | 8 | 7.5 | 2.0 | 1.2 | 0.2 | 0.1 | 0.1 | 0.8 | 2.5 | 0.5 | 8 | 1.3 | 8.2 | 40.0 | 0.0 | 0.0 | -0.39 | 39.1 | 40.0 |
| 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 | 3.43 | 26.6 | 0.0 |
| Laney Snelling | - | 6 | 8.9 | 0.2 | 1.0 | 0.5 | 0.5 | 0.0 | 1.2 | 1.5 | -0.5 | - | - | - | 0.0 | 0.0 | 50.0 | - | 5.1 | 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