🐻⬇️🏀

Cedar Crest

Also known as: Cedar Crest
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 → 1024 (#191) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 984 (#346) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1031 (#245) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -17.5 (#342) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -7.5 (#462) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.481 (#464) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +13.3 More → 0.893 (#165) NetEff +13.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -44.5 More → 0.005 (#682) AdjNet -44.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -46.4 More → 0.004 (#681) AdjNet -46.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 44.5 | AdjD 72.1 More → 0.075 (#677) AdjO 44.5 | AdjD 72.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.5 | AdjD 55.0 More → 0.664 (#167) AdjO 62.5 | AdjD 55.0
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 → 0.560 (#328) 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 → 0.581 (#314) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 141 | GP 6 More → 977 (#347) RD 141 | GP 6

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-01-21 vs Penn St.-Schuylkill W 104 - 14
2026-01-24 @ Penn St.-Abington L 59 - 62
2026-01-28 vs Penn College L 52 - 55
2026-01-31 vs Cairn W 73 - 40
2026-02-02 vs Trinity Washington W 78 - 39
2026-02-07 @ Penn St. Brandywine W 74 - 49

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%
Ella Bincarosky - 6 31.0 21.5 4.7 0.8 2.5 0.2 1.5 16.5 11.7 61 2.9 13.3 45.5 44.6 85.7 -1.84 63.2 62.1
Analyse Rios - 6 24.9 12.3 4.3 3.5 3.0 0.0 4.0 11.8 7.3 12 0.5 3.0 35.2 13.3 81.5 2.56 44.6 36.6
Samora Merchant - 6 27.2 11.2 12.3 1.3 1.2 4.3 2.2 12.3 15.8 41 2.0 10.3 37.8 0 42.3 1.71 39.2 37.8
Weronika Swojak - 6 25.9 7.7 8.3 1.2 0.8 0.2 1.8 7.2 9.2 38 3.8 10.4 48.8 0.0 66.7 3.02 50.4 48.8
Gabrielle Moore - 6 23.8 7.7 3.8 1.2 1.5 0.0 1.2 6.2 6.8 -31 -1.5 -13.4 51.4 36.8 16.7 -0.9 58.0 60.8
Ginger Kerdock - 6 32.1 6.5 4.5 6.7 2.7 0.0 2.7 7.2 10.5 49 2.5 11.0 39.5 8.3 66.7 4.51 42.7 40.7
Megan Perrine - 5 16.6 3.0 2.4 0.8 1.4 1.2 1.4 4.0 3.4 -15 -0.8 -15.4 35.0 0.0 50.0 -1.84 35.9 35.0
Hailey Wolbeck - 4 15.2 3.0 5.0 0.5 0.5 0.0 0.0 2.8 6.2 -8 -0.4 -7.1 45.5 66.7 0 -1.04 54.5 54.5
Brooke Leonardi - 5 13.5 2.4 1.8 1.4 1.2 0.0 0.8 5.6 0.4 -43 -2.3 -64.1 14.3 0.0 66.7 -2.24 19.6 14.3

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