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King's (NY)

Also known as: King's (NY)
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 → 985 (#266) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 957 (#385) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 914 (#595) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -7.3 (#266) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -9.1 (#488) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.169 (#604) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -23.6 More → 0.062 (#582) AdjNet -23.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -24.4 More → 0.053 (#589) AdjNet -24.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 52.6 | AdjD 67.2 More → 0.211 (#569) AdjO 52.6 | AdjD 67.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.6 | AdjD 61.9 More → 0.403 (#534) AdjO 57.6 | AdjD 61.9
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 → 0.271 (#549) 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 → 0.292 (#540) 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 21 More → 956 (#369) RD 98 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Penn L 31 - 105
2025-11-12 vs Widener L 52 - 68
2025-11-15 @ Gwynedd Mercy L 50 - 56
2025-11-19 @ Saint Elizabeth W 72 - 64
2025-11-22 vs SUNY Morrisville W 70 - 43
2025-11-25 vs Wilkes W 70 - 59
2025-11-30 @ Keystone W 65 - 41
2025-12-03 vs Penn St.-Schuylkill W 82 - 37
2025-12-16 vs Centenary (NJ) W 71 - 46
2025-12-29 @ Salisbury L 53 - 56
2025-12-30 vs Kenyon L 55 - 66
2026-01-10 @ FDU-Florham W 72 - 52
2026-01-14 vs Stevens L 53 - 58
2026-01-17 @ Delaware Valley L 64 - 71
2026-01-21 @ Misericordia L 52 - 72
2026-01-24 vs Arcadia L 46 - 53
2026-01-28 vs DeSales L 59 - 62
2026-01-31 vs FDU-Florham W 83 - 75
2026-02-04 @ Stevens L 58 - 73
2026-02-07 @ Lebanon Valley L 33 - 53

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%
Lauren Casey - 20 31.8 14.2 11.1 1.9 1.2 0.9 3.2 10.3 15.7 35 1.8 7.6 49.8 22.2 76.5 -0.17 56.6 50.2
Cadie Lewis - 20 34.5 12.6 5.8 4.8 1.6 0.1 4.2 11.4 9.3 16 0.8 3.3 35.4 37.1 80.4 -1.0 50.1 46.1
Gianna Dickson - 20 32.5 12.3 2.6 1.2 1.1 0.5 2.2 13.7 1.9 46 2.3 10.5 33.3 30.7 63.0 0.19 43.2 41.9
Claire Aufiero - 18 26.1 6.4 6.8 1.9 0.7 0.6 2.3 6.3 7.9 58 3.2 16.3 36.3 8.3 60.0 0.68 42.3 36.7
Irelynd Long - 20 26.2 4.8 2.4 1.4 1.0 0.3 1.9 5.0 3.0 6 0.3 1.6 33.3 25.0 60.9 -0.89 43.5 40.9
Taylor Hough - 20 12.6 2.9 2.1 0.6 1.1 0.1 1.1 3.2 2.5 23 1.1 21.0 28.1 16.7 77.3 -1.61 38.7 31.2
Layla Orth - 20 16.3 2.5 1.7 1.1 1.1 0.1 1.1 3.0 2.5 4 0.2 2.6 27.9 14.3 65.2 -0.39 35.9 29.5
Gabby Marsola - 18 7.4 2.4 0.6 0.2 0.1 0.0 0.4 2.1 0.8 43 2.4 54.0 36.8 43.3 100.0 0.52 55.3 53.9
Elise Larson - 12 6.3 1.5 1.1 0.0 0.4 0.0 1.2 1.8 0.0 32 2.9 288.7 36.4 14.3 33.3 0.63 38.6 38.6
Caitlyn Majiros - 2 5.5 1.5 1.5 0.0 0.0 0.5 0.0 1.0 2.5 -2 -1.0 -19.8 50.0 0 50.0 0.75 52.1 50.0
Tiffany Pecorella - 10 6.7 1.4 0.9 0.7 0.4 0.0 0.8 1.9 0.7 - - - 26.3 13.3 50.0 - 33.7 31.6
Keirra Jones - 6 6.1 1.3 1.3 0.0 0.3 0.3 0.7 2.2 0.5 210 10.5 86.2 23.1 14.3 16.7 3.69 25.6 26.9
Ayla Schneck-Haines - 5 6.1 0.4 1.0 0.6 0.4 0.0 0.2 0.8 1.4 - - - 25.0 0 0 - 25.0 25.0
Melanie Selner - 11 5.2 0.2 0.6 0.6 0.0 0.1 0.5 0.5 0.5 7 0.7 46.9 20.0 0 0 1.42 20.0 20.0
Emily McCullon - 4 4.3 0.2 0.5 0.0 0.2 0.0 1.0 1.0 -1.0 - - - 0.0 0.0 50.0 - 10.2 0.0
Liz Wilson - 4 5.6 0.0 1.0 0.0 0.0 0.0 1.0 0.5 -0.5 26 2.4 30.2 0.0 0 0 2.79 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