🐻⬇️🏀

Lee

Season: 2026 2025 2023
Also known as: Lee
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1053 (#236) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1006 (#391) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +23.4 (#103) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#66) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +40.7 More → 0.999 (#64) NetEff +40.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +45.4 More → 0.995 (#92) AdjNet +45.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +44.7 More → 0.996 (#93) AdjNet +44.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.9 | AdjD 48.7 More → 0.915 (#114) AdjO 74.9 | AdjD 48.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.9 | AdjD 58.2 More → 0.584 (#254) AdjO 61.9 | AdjD 58.2
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 → 0.867 (#91) 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 → 0.837 (#114) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Maryville (TN) W 65 - 35

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%
Anna Muhonen - 1 19.7 13.0 5.0 0.0 2.0 1.0 2.0 9.0 10.0 - - - 66.7 0 50.0 - 65.8 66.7
Libby Privett - 1 20.5 11.0 3.0 2.0 2.0 0.0 1.0 8.0 9.0 - - - 37.5 0.0 100.0 - 53.9 37.5
Abby McFarland - 1 17.5 8.0 3.0 0.0 0.0 0.0 1.0 8.0 2.0 - - - 37.5 33.3 0 - 50.0 50.0
Bailey Burgess - 1 26.2 8.0 1.0 2.0 3.0 0.0 1.0 10.0 3.0 - - - 30.0 14.3 100.0 - 38.3 35.0
Milah Williams - 1 24.4 7.0 3.0 0.0 1.0 1.0 2.0 6.0 4.0 180 10.0 98.6 50.0 50.0 0 4.72 58.3 58.3
Keira Leffew - 1 17.4 6.0 16.0 2.0 0.0 3.0 2.0 10.0 15.0 - - - 20.0 0 100.0 - 27.6 20.0
Susanna Rogers - 1 9.6 5.0 2.0 1.0 0.0 0.0 3.0 2.0 3.0 78 4.1 12.1 100.0 100.0 0 -0.76 125.0 125.0
Curtlyn Lee - 1 2.8 4.0 0.0 1.0 1.0 0.0 0.0 2.0 4.0 - - - 100.0 0 0 - 100.0 100.0
Kara Williams - 1 18.5 3.0 1.0 4.0 0.0 0.0 3.0 4.0 1.0 -38 -4.2 -3257.1 25.0 25.0 0 0.04 37.5 37.5
Callie Brewer - 1 6.6 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0.0 0 - 0.0 0.0
Baylee Delbridge - 1 24.3 0.0 10.0 2.0 3.0 1.0 1.0 4.0 11.0 - - - 0.0 0.0 0 - 0.0 0.0
Molly Smith - 1 2.1 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 51 2.8 15.1 0 0 0 2.8 0 0
Mia Alexander - 1 10.3 0.0 2.0 0.0 0.0 0.0 0.0 3.0 -1.0 6 0.4 4.1 0.0 0.0 0 -0.35 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