🐻⬇️🏀

Widener

Also known as: Widener
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 → 1008 (#235) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1157 (#82) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1090 (#105) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +7.9 (#111) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -0.5 (#376) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.826 (#288) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +15.0 More → 0.897 (#162) NetEff +15.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.4 More → 0.700 (#313) AdjNet +7.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +6.4 More → 0.681 (#316) AdjNet +6.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.1 | AdjD 63.1 More → 0.588 (#309) AdjO 67.1 | AdjD 63.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.1 | AdjD 64.0 More → 0.592 (#241) AdjO 68.1 | AdjD 64.0
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 → 0.684 (#231) 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 → 0.667 (#243) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 108 | GP 21 More → 1157 (#101) RD 108 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Ursinus W 82 - 67
2025-11-08 @ St. Mary's (MD) W 90 - 56
2025-11-12 @ King's (PA) W 68 - 52
2025-11-19 vs Gallaudet W 65 - 40
2025-11-22 @ Penn St. Brandywine W 86 - 36
2025-11-25 vs Neumann W 78 - 52
2025-12-03 @ Immaculata L 52 - 75
2025-12-13 @ Dickinson W 65 - 61
2025-12-20 @ Maine Maritime W 83 - 74
2026-01-10 vs Messiah L 69 - 75
2026-01-14 @ Eastern W 67 - 63
2026-01-17 @ Hood W 55 - 39
2026-01-21 vs Albright W 89 - 72
2026-01-24 vs Stevenson W 91 - 76
2026-01-28 @ York (PA) W 69 - 53
2026-01-31 vs Hood W 76 - 52
2026-02-04 vs Eastern W 70 - 54
2026-02-07 @ Messiah L 52 - 62

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 Robbins - 6 23.4 20.0 8.0 1.7 1.7 0.7 2.8 13.2 16.0 41 1.9 18.1 58.2 100.0 75.0 0.67 63.3 58.9
Avalynn Baer - 1 36.0 15.0 9.0 1.0 2.0 0.0 2.0 14.0 11.0 -4 -2.0 -6.2 42.9 0 60.0 0.19 46.3 42.9
Lindsay Kutz - 18 32.3 13.9 7.7 3.3 2.2 0.8 2.4 12.0 13.5 135 7.1 36.1 46.8 34.1 68.0 2.83 52.7 50.2
Riley Stackhouse - 18 30.1 12.1 3.4 1.6 2.5 0.5 1.8 9.9 8.3 87 4.6 21.1 43.6 26.2 69.8 2.63 52.5 48.3
Ava Baer - 15 25.7 9.0 5.5 0.8 1.4 0.5 1.5 8.3 7.4 113 6.6 44.3 42.7 20.0 65.1 2.08 47.2 43.1
Giada Palmieri - 18 16.6 7.7 5.0 0.8 0.7 0.1 1.6 5.5 7.2 36 1.9 15.2 46.5 0.0 68.7 0.28 53.7 46.5
Avalyn Baer - 2 26.5 7.0 4.0 1.0 0.5 1.0 0.5 5.0 8.0 113 6.6 44.3 40.0 0.0 66.7 2.08 50.1 40.0
Jayla Daniels - 18 19.3 6.6 2.8 2.7 2.3 0.1 2.8 6.2 5.4 109 5.7 51.5 41.4 8.7 60.0 1.76 45.9 42.3
Liliana Metrick - 18 19.8 6.4 1.8 1.3 1.0 0.1 2.1 6.1 2.4 70 3.7 25.0 36.7 29.4 74.1 -0.46 47.6 43.6
Kimberly Casiello - 18 22.3 3.6 2.8 2.7 0.8 0.1 1.8 2.9 5.3 42 2.2 17.4 30.8 32.0 77.4 1.05 48.8 38.5
Breelynn Leary - 13 9.2 2.6 1.5 0.4 0.5 0.0 0.5 3.5 1.0 - - - 32.6 18.8 50.0 - 36.3 35.9
Meredith Dufner - 13 7.2 2.2 1.6 0.2 0.4 0.1 0.8 2.0 1.5 15 1.1 24.7 34.6 10.0 52.9 -1.0 41.8 36.5
Mikeala Stair - 10 6.9 2.1 1.5 0.4 0.2 0.2 0.5 1.6 2.3 -7 -0.9 -12.7 43.8 0.0 87.5 -1.18 53.8 43.8
Mia Elisano - 9 7.6 1.7 1.8 0.4 0.3 0.2 0.6 2.6 1.3 4 0.4 9.9 21.7 16.7 100.0 1.77 30.3 23.9
Marie Meyers - 8 7.0 1.6 1.2 0.1 0.1 0.0 0.2 2.0 0.9 -36 -4.5 -139.4 37.5 33.3 0 -0.98 40.6 40.6
Sophia Sanchez - 7 6.3 1.1 1.0 0.0 0.3 0.0 1.1 1.7 -0.4 -18 -2.6 -68.0 33.3 0.0 0 0.11 33.3 33.3
Grace Egli - 1 5.3 1.0 1.0 0.0 0.0 0.0 2.0 2.0 -2.0 - - - 0.0 0 50.0 - 17.4 0.0
Kelly Donnelly - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 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