🐻⬇️🏀

Kutztown

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Kutztown
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 → 1110 (#83) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1071 (#137) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1063 (#116) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +0.9 (#163) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +1.3 (#344) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.601 (#324) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +10.3 More → 0.813 (#174) NetEff +10.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -99.2 More → 0.000 (#529) NetEff -99.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.9 More → 0.525 (#394) AdjNet +0.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.9 More → 0.584 (#372) AdjNet +2.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.6 | AdjD 60.3 More → 0.529 (#380) AdjO 61.6 | AdjD 60.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.5 | AdjD 57.3 More → 0.527 (#293) AdjO 58.5 | AdjD 57.3
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 → 0.589 (#274) 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 → 0.586 (#275) 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 22 More → 1088 (#152) RD 97 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Glenville St. L 60 - 64
2025-11-15 vs Salem (WV) W 71 - 35
2025-11-19 vs Penn St.-Schuylkill W 105 - 36
2025-11-22 vs Jefferson L 48 - 50
2025-12-01 vs Wilmington (DE) W 80 - 57
2025-12-05 vs Indiana (PA) L 43 - 55
2025-12-16 @ Gannon L 48 - 70
2025-12-20 vs Clarion W 76 - 49
2025-12-21 vs Pitt.-Johnstown W 71 - 63
2026-01-02 @ Seton Hill L 53 - 83
2026-01-03 @ California (PA) W 70 - 66
2026-01-10 vs Lock Haven L 46 - 60
2026-01-13 @ West Chester W 49 - 46
2026-01-15 @ Shippensburg W 64 - 54
2026-01-17 vs Bloomsburg W 44 - 34
2026-01-21 @ Millersville L 58 - 63
2026-01-24 @ Shepherd L 63 - 66
2026-01-27 vs East Stroudsburg W 62 - 59
2026-01-29 vs Mansfield W 90 - 66
2026-02-04 vs West Chester W 64 - 52
2026-02-07 @ Lock Haven L 54 - 65

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%
Leila Hurley - 21 28.0 10.1 2.0 0.5 0.9 0.3 1.3 9.0 3.6 -38 -1.7 -7.0 36.7 36.4 83.9 -2.14 52.6 49.5
Danae Ellzy - 20 19.9 9.6 2.9 1.4 1.2 0.1 3.1 8.4 3.5 -1 -0.0 -0.2 37.9 26.3 66.7 0.97 47.6 42.3
Madison Siggins - 17 19.6 8.6 3.4 0.5 0.8 0.1 1.6 7.8 4.0 24 1.3 13.0 43.2 26.5 67.6 1.28 49.7 46.6
Ariana Smuda - 21 23.3 7.6 6.9 1.1 0.6 2.1 1.4 5.5 11.5 -74 -3.5 -14.5 64.3 0.0 52.2 1.65 63.9 64.3
Olivia Smelas - 21 26.6 7.3 9.3 3.0 2.4 1.2 2.1 7.0 14.0 33 1.5 6.2 42.6 24.4 61.5 1.85 48.0 46.3
Bella Quinn - 21 26.0 5.9 2.3 3.4 1.3 0.0 2.7 5.6 4.7 10 0.5 2.0 33.3 36.0 68.5 2.86 44.0 37.2
Maggie Coleman - 6 14.3 4.8 1.2 1.3 1.3 0.0 0.5 7.2 1.0 -17 -2.4 -22.1 30.2 8.0 50.0 1.49 33.0 32.6
Jadyn Brenneman - 21 13.1 4.3 1.8 1.1 0.8 0.0 1.6 2.5 3.9 -23 -1.1 -9.6 49.1 37.5 81.4 -1.13 62.6 51.9
Taylor Gurysh - 21 14.3 3.3 1.8 0.5 0.5 0.0 0.8 3.9 1.5 -54 -2.5 -26.5 25.9 28.3 75.0 2.14 39.2 35.2
Stella Higgins - 5 5.9 2.8 2.6 1.2 0.2 0.0 0.4 3.2 3.2 -29 -5.8 -130.8 25.0 42.9 75.0 0.07 39.4 34.4
Kitty Randa - 18 9.1 2.6 2.1 0.5 0.3 0.4 0.9 3.1 1.9 -56 -3.1 -65.3 39.3 9.1 66.7 -2.82 41.0 40.2
Alexa Windish - 21 15.8 2.4 1.7 0.8 0.2 0.0 1.2 2.8 1.1 33 1.6 10.4 30.5 34.1 25.0 2.93 42.0 42.4
Josephine Vourliotis - 13 7.0 2.2 0.9 0.4 0.2 0.0 0.2 3.0 0.5 9 0.6 12.0 25.6 24.2 0 1.07 35.9 35.9
Ryanna Hightower-Prentice - 2 3.3 2.0 1.5 0.0 0.0 1.0 0.0 1.0 3.5 - - - 100.0 0 0 - 100.0 100.0
Nadia Yemola - 3 8.8 0.3 1.0 1.0 0.3 0.0 0.7 0.7 1.3 -26 -6.5 -325.0 0.0 0.0 50.0 0.13 17.4 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