🐻⬇️🏀

Lee

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
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1140 (#63) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1148 (#64) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1077 (#94) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +5.0 (#118) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +12.5 (#178) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.849 (#213) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +9.2 More → 0.771 (#199) NetEff +9.2
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -54.4 More → 0.001 (#479) NetEff -54.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -40.7 More → 0.001 (#483) NetEff -40.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +24.4 More → 0.944 (#161) AdjNet +24.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +24.6 More → 0.948 (#162) AdjNet +24.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.6 | AdjD 54.0 More → 0.805 (#165) AdjO 69.6 | AdjD 54.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.6 | AdjD 55.9 More → 0.687 (#92) AdjO 64.6 | AdjD 55.9
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 → 0.762 (#135) 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 → 0.757 (#134) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 23 More → 1096 (#114) RD 97 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Maryville (TN) W 65 - 35
2025-11-14 vs Fla. Southern W 75 - 61
2025-11-15 vs Tampa W 47 - 45
2025-11-22 vs Ashland L 78 - 89
2025-12-01 @ Kentucky St. W 78 - 63
2025-12-04 vs Montevallo W 59 - 52
2025-12-06 vs AUM W 79 - 56
2025-12-11 @ West Ala. L 56 - 62
2025-12-13 @ UAH L 51 - 68
2025-12-20 vs Valdosta St. W 62 - 58
2025-12-31 vs Tenn. Wesleyan W 89 - 50
2026-01-10 @ Delta St. W 50 - 46
2026-01-15 vs Union (TN) W 79 - 66
2026-01-17 vs Christian Brothers W 63 - 45
2026-01-22 @ AUM W 77 - 41
2026-01-24 @ Montevallo W 71 - 56
2026-01-29 vs UAH W 62 - 48
2026-01-31 vs West Ala. W 84 - 80
2026-02-05 @ Valdosta St. L 65 - 68
2026-02-07 @ West Florida L 60 - 64

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 - 20 28.2 16.9 8.8 1.8 1.1 1.2 1.9 13.2 14.8 55 2.4 10.0 52.9 0 64.9 1.11 55.7 52.9
Libby Privett - 20 29.3 13.1 5.0 2.8 0.9 0.0 2.6 10.7 8.5 13 0.6 2.2 38.3 26.8 83.8 2.62 50.9 41.8
Baylee Delbridge - 20 29.0 8.3 5.1 1.4 0.7 0.4 1.6 6.2 8.1 86 3.7 14.1 46.4 13.0 85.5 1.62 55.6 47.6
Abby McFarland - 20 18.6 7.2 2.9 0.8 0.2 0.3 1.2 5.3 4.8 108 4.9 27.1 38.7 37.3 93.0 0.67 57.6 49.1
Hannah Jones - 13 17.4 5.3 3.1 1.2 1.2 0.4 2.1 4.4 4.7 41 2.6 15.5 45.6 0.0 89.5 -0.18 52.8 45.6
Bailey Burgess - 20 22.3 4.8 1.3 0.8 0.9 0.1 0.8 5.4 1.7 24 1.0 8.9 29.6 28.0 100.0 0.69 43.1 41.7
Kara Williams - 20 31.0 4.5 2.9 2.6 1.3 0.2 2.1 4.7 4.8 121 5.3 24.0 31.2 29.9 40.0 3.3 43.8 43.5
Keira Leffew - 17 8.6 2.8 3.2 0.8 0.2 0.6 0.9 2.5 4.2 52 3.1 43.5 39.5 0 87.5 2.48 48.0 39.5
Mia Alexander - 17 7.5 2.8 1.1 0.4 0.6 0.0 0.2 2.9 1.6 38 2.2 35.5 34.0 33.3 0 0.02 47.0 47.0
Milah Williams - 15 12.6 2.7 2.8 0.7 0.3 0.3 0.9 2.8 3.1 33 1.8 35.6 35.7 30.0 36.4 1.44 39.7 39.3
Lilli Carlile - 3 4.4 2.7 1.0 0.0 0.0 0.0 0.0 2.0 1.7 -2 -0.7 -18.8 50.0 66.7 0 -0.92 66.7 66.7
Callie Brewer - 15 8.4 1.7 1.2 0.7 0.5 0.0 0.4 1.9 1.9 29 1.7 23.5 28.6 30.0 100.0 -0.21 43.7 39.3
Curtlyn Lee - 4 3.6 1.5 0.2 0.8 0.2 0.0 0.2 1.5 1.0 -1 -0.3 -9.4 50.0 0 0.0 -0.92 43.6 50.0
Susanna Rogers - 9 3.7 0.9 0.2 0.6 0.1 0.0 0.3 0.8 0.7 9 0.9 16.4 42.9 100.0 0 -0.26 57.1 57.1
Molly Smith - 5 1.7 0.0 0.4 0.0 0.0 0.0 0.0 0.0 0.4 -6 -1.5 -92.3 0 0 0 -0.69 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