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King's (PA)

Also known as: King's (PA)
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 → 947 (#425) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 922 (#433) -
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 +2.4 More → -7.3 (#294) HCA +2.4
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) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.6 More → 0.660 (#297) NetEff +4.6
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 97 | GP 22 More → 950 (#379) RD 97 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Penn - Incomplete score
2025-11-12 vs Widener - Incomplete score
2025-11-15 @ Gwynedd Mercy - Incomplete score
2025-11-19 @ Saint Elizabeth - Incomplete score
2025-11-22 vs SUNY Morrisville - Incomplete score
2025-11-25 vs Wilkes - Incomplete score
2025-11-30 @ Keystone - Incomplete score
2025-12-03 vs Penn St.-Schuylkill - Incomplete score
2025-12-16 vs Centenary (NJ) - Incomplete score
2025-12-29 @ Salisbury - Incomplete score
2025-12-30 vs Kenyon - Incomplete score
2026-01-10 @ FDU-Florham - Incomplete score
2026-01-14 vs Stevens - Incomplete score
2026-01-17 @ Delaware Valley - Incomplete score
2026-01-21 @ Misericordia - Incomplete score
2026-01-24 vs Arcadia - Incomplete score
2026-01-28 vs DeSales - Incomplete score
2026-01-31 vs FDU-Florham - Incomplete score
2026-02-04 @ Stevens - Incomplete score
2026-02-07 @ Lebanon Valley - Incomplete score

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 - 19 32.3 14.6 11.5 1.9 1.3 1.0 3.2 10.4 16.7 35 1.8 7.6 51.0 25.0 76.0 -1.49 57.7 51.5
Cadie Lewis - 19 34.8 12.9 5.9 4.8 1.6 0.2 4.1 11.6 9.8 16 0.8 3.3 35.9 37.0 81.6 -0.97 50.7 46.6
Gianna Dickson - 19 33.3 12.8 2.6 1.3 1.2 0.5 2.2 14.2 2.1 46 2.3 10.5 33.3 31.1 63.0 2.25 43.3 42.0
Claire Aufiero - 17 26.5 6.7 7.1 2.0 0.8 0.6 2.3 6.4 8.6 58 3.2 16.3 38.0 10.0 58.5 2.78 43.4 38.4
Irelynd Long - 19 26.6 5.0 2.5 1.5 1.1 0.3 2.1 5.2 3.1 6 0.3 1.6 33.3 25.0 60.9 -0.35 43.5 40.9
Taylor Hough - 19 12.5 2.8 2.3 0.6 1.1 0.1 1.0 3.1 2.7 23 1.1 21.0 28.8 14.3 77.3 -1.68 39.3 31.4
Layla Orth - 19 16.4 2.7 1.7 1.1 1.2 0.2 1.0 3.1 2.7 4 0.2 2.6 28.8 16.7 65.2 -0.59 36.9 30.5
Gabby Marsola - 17 7.2 2.4 0.6 0.2 0.1 0.0 0.4 1.9 1.0 43 2.4 54.0 39.4 46.2 100.0 -0.07 59.0 57.6
Keirra Jones - 5 5.8 1.6 1.4 0.0 0.4 0.4 0.8 2.0 1.0 210 10.5 86.2 30.0 20.0 16.7 -0.08 31.6 35.0
Elise Larson - 11 5.6 1.5 0.8 0.0 0.5 0.0 1.1 1.6 0.0 32 2.9 288.7 38.9 16.7 33.3 -1.02 41.4 41.7
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 - 52.1 50.0
Tiffany Pecorella - 9 6.5 0.9 0.9 0.8 0.4 0.0 0.8 1.7 0.6 - - - 20.0 8.3 50.0 -0.75 25.2 23.3
Ayla Schneck-Haines - 4 5.9 0.5 1.0 0.5 0.5 0.0 0.2 0.8 1.5 - - - 33.3 0 0 - 33.3 33.3
Emily McCullon - 3 4.5 0.3 0.7 0.0 0.3 0.0 1.3 1.3 -1.3 - - - 0.0 0.0 50.0 - 10.2 0.0
Melanie Selner - 10 4.9 0.2 0.6 0.7 0.0 0.1 0.5 0.5 0.6 7 0.7 46.9 20.0 0 0 -0.43 20.0 20.0
Liz Wilson - 3 5.5 0.0 1.3 0.0 0.0 0.0 1.0 0.7 -0.3 26 2.4 30.2 0.0 0 0 -0.35 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