🐻⬇️🏀

Wilson

Also known as: Wilson
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 → 955 (#325) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 908 (#459) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1038 (#223) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -21.6 (#364) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -20.5 (#611) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.311 (#534) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +0.3 More → 0.511 (#357) NetEff +0.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -41.4 More → 0.008 (#671) AdjNet -41.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -43.3 More → 0.006 (#671) AdjNet -43.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 55.2 | AdjD 82.2 More → 0.079 (#674) AdjO 55.2 | AdjD 82.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.6 | AdjD 69.4 More → 0.309 (#595) AdjO 60.6 | AdjD 69.4
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 → 0.261 (#558) 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 → 0.272 (#553) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 23 More → 983 (#336) RD 98 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Mary Baldwin W 86 - 61
2025-11-11 @ Bryn Mawr L 68 - 70
2025-11-13 vs Trinity Washington W 72 - 27
2025-11-15 vs Shenandoah L 57 - 75
2025-11-18 vs Valley Forge W 81 - 46
2025-11-22 vs East. Mennonite W 87 - 78
2025-11-25 @ Haverford L 45 - 62
2025-12-01 @ Mount Aloysius L 58 - 79
2025-12-03 @ Penn St. Harrisburg W 64 - 47
2026-01-10 @ Penn College L 49 - 74
2026-01-13 vs St. Mary's (MD) L 50 - 109
2026-01-15 @ Cairn W 73 - 63
2026-01-21 @ Notre Dame (MD) L 58 - 75
2026-01-24 @ Gallaudet W 62 - 53
2026-01-28 vs Penn St. Brandywine W 75 - 58
2026-01-31 @ Penn St.-Berks W 67 - 46
2026-02-02 vs Penn St.-Schuylkill W 83 - 36
2026-02-04 vs Lancaster Bible W 76 - 67
2026-02-07 vs Keystone W 75 - 43

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%
Leah Laubach - 18 30.4 15.3 6.8 2.0 1.8 0.4 4.0 12.8 9.6 116 6.1 28.6 43.0 32.0 66.3 2.15 50.8 46.5
Sunita Schmidjorg - 1 35.0 14.0 5.0 5.0 3.0 0.0 2.0 8.0 17.0 -58 -8.3 -49.9 62.5 40.0 100.0 -0.13 78.8 75.0
Jewels Torres - 18 34.1 13.0 2.0 3.8 2.7 0.1 4.2 9.5 7.9 179 9.4 40.3 39.2 27.3 74.6 1.38 51.7 40.9
Natalie Greene - 1 22.0 13.0 7.0 1.0 1.0 2.0 2.0 12.0 10.0 -90 -9.0 -88.5 41.7 0 42.9 0.68 43.1 41.7
Seanna Baird - 1 38.0 11.0 2.0 4.0 4.0 0.0 7.0 12.0 2.0 -197 -14.1 -148.1 41.7 25.0 0 -0.45 45.8 45.8
Chelcie Forrester - 18 26.8 9.8 9.9 1.1 1.1 0.1 2.8 7.4 11.7 129 6.8 37.7 51.5 0 66.1 -0.08 55.3 51.5
Lae Black - 16 23.3 8.9 5.4 1.3 1.6 0.1 2.9 9.6 4.9 42 2.8 25.0 27.9 24.5 62.9 0.57 38.7 32.1
Kailee Soto - 8 29.9 7.9 2.2 2.8 2.1 0.0 3.5 9.8 1.8 35 3.5 22.2 28.2 26.8 66.7 1.92 39.1 37.8
M. Caldwell-Degnon - 1 27.0 7.0 6.0 2.0 1.0 0.0 2.0 5.0 9.0 137 7.6 37.9 40.0 33.3 50.0 2.14 51.8 50.0
Mackenzie Caldwell-Degnon - 16 23.1 6.8 5.1 0.8 1.0 0.4 0.8 6.8 6.6 137 7.6 37.9 38.0 31.4 64.7 2.14 47.2 45.4
Chloe Irving - 18 22.1 6.3 6.9 0.9 2.3 0.3 2.8 6.5 7.6 141 7.4 44.7 33.3 22.6 58.0 1.46 41.0 36.3
Mackenzie Caldwell-D - 1 22.0 5.0 5.0 1.0 1.0 0.0 2.0 2.0 8.0 - - - 50.0 0.0 75.0 - 66.5 50.0
Mackenzie Schirg - 1 31.0 4.0 6.0 2.0 1.0 1.0 1.0 10.0 3.0 -137 -9.1 -125.9 10.0 0.0 66.7 -2.95 17.7 10.0
Kayla DeBrow - 1 15.0 4.0 6.0 1.0 1.0 4.0 4.0 5.0 7.0 12 0.7 10.5 40.0 0 0 -2.6 40.0 40.0
Evangeline Diaz - 1 10.0 4.0 2.0 1.0 0.0 1.0 2.0 2.0 4.0 -70 -3.9 -98.1 50.0 50.0 50.0 -2.94 69.4 75.0
Sophia Wascher - 1 31.0 3.0 9.0 2.0 2.0 0.0 0.0 4.0 12.0 -79 -6.1 -68.2 0.0 0 50.0 1.2 22.6 0.0
Kayla Shepard - 15 9.0 1.9 2.7 0.1 0.3 0.3 1.1 2.3 1.8 14 0.8 13.5 32.4 0 50.0 -0.81 35.6 32.4
Isabelle Campbell - 16 7.2 1.9 2.8 0.2 0.6 0.2 1.0 2.0 2.6 29 1.6 27.6 40.6 0 33.3 0.69 40.2 40.6
Becca Cordell - 16 13.2 1.7 1.4 0.9 0.8 0.0 1.5 2.2 0.9 37 2.5 21.5 27.8 8.3 50.0 -2.11 32.7 29.2
Aniya Gonzalez - 13 7.0 0.9 1.3 0.3 0.2 0.2 0.5 1.4 1.0 55 3.9 99.3 33.3 0 0 -0.32 33.3 33.3
Kate Aquino Uribe - 1 18.0 0.0 3.0 0.0 1.0 0.0 0.0 3.0 1.0 -107 -9.7 -125.1 0.0 0 0 -3.48 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