🐻⬇️🏀

George Fox

Season: 2026 2024 2016 2015 2013
Also known as: George Fox
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 → 957 (#394) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 913 (#420) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 934 (#576) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -28.7 (#643) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.017 (#613) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -26.3 More → 0.024 (#437) NetEff -26.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -32.5 More → 0.022 (#663) AdjNet -32.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -31.5 More → 0.023 (#661) AdjNet -31.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 46.2 | AdjD 62.9 More → 0.181 (#631) AdjO 46.2 | AdjD 62.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 55.1 | AdjD 65.2 More → 0.285 (#618) AdjO 55.1 | AdjD 65.2
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 → 0.152 (#631) 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 → 0.176 (#622) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-10 vs Seattle Pacific L 50 - 69

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%
Mia Skoro - 1 27.9 14.0 5.0 1.0 0.0 0.0 2.0 14.0 4.0 - - - 28.6 0.0 85.7 - 41.0 28.6
Bella Arrisgado - 1 24.7 10.0 4.0 0.0 3.0 0.0 3.0 7.0 7.0 - - - 57.1 50.0 0 - 71.4 71.4
Paige Macduff - 1 21.0 6.0 2.0 0.0 1.0 0.0 2.0 4.0 3.0 - - - 75.0 0.0 0 - 75.0 75.0
Hanne Hopkins - 1 28.4 6.0 5.0 3.0 0.0 0.0 2.0 9.0 3.0 - - - 22.2 0 100.0 - 30.4 22.2
Sophia Hardy - 1 20.4 6.0 1.0 0.0 0.0 1.0 2.0 4.0 2.0 - - - 50.0 50.0 0 - 75.0 75.0
Kylie Ritter - 1 25.9 6.0 6.0 0.0 0.0 0.0 2.0 6.0 4.0 - - - 33.3 33.3 50.0 - 43.6 41.7
Sophie Carbajal - 1 0.9 2.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 - - - 100.0 0 0 - 100.0 100.0
Laney Snelling - 1 11.2 0.0 2.0 0.0 0.0 0.0 2.0 2.0 -2.0 - - - 0.0 0.0 0 - 0.0 0.0
Emma Boehm - 1 11.0 0.0 1.0 0.0 1.0 0.0 0.0 1.0 1.0 - - - 0.0 0.0 0 - 0.0 0.0
Tara Ushiro - 1 19.8 0.0 1.0 1.0 1.0 0.0 5.0 6.0 -8.0 - - - 0.0 0.0 0 - 0.0 0.0
Madeline Schumacher - 1 9.0 0.0 3.0 2.0 0.0 0.0 1.0 1.0 3.0 - - - 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