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Berkeley (NY)

Also known as: Berkeley (NY)
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1021 (#299) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1006 (#397) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -15.1 (#557) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.968 (#181) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +14.0 More → 0.959 (#124) NetEff +14.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -29.6 More → 0.031 (#629) AdjNet -29.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -31.5 More → 0.024 (#634) AdjNet -31.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 48.1 | AdjD 68.2 More → 0.140 (#636) AdjO 48.1 | AdjD 68.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.5 | AdjD 59.9 More → 0.469 (#435) AdjO 58.5 | AdjD 59.9
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 → 0.306 (#523) 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 → 0.334 (#508) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1082 (#206) RD 350 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2024-01-30 @ Yeshiva L 56 - 57
2024-02-11 @ Pratt W 66 - 36

2024 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%
Keisy Villanueva - 2 17.0 17.5 11.5 0.5 3.0 3.5 0.5 13.0 22.5 - - - 57.7 30.0 100.0 - 65.1 63.5
Jordan Washington - 2 28.0 11.0 8.0 2.5 2.0 1.0 2.5 10.0 12.0 35 3.9 13.9 50.0 0.0 100.0 0.18 52.7 50.0
Kanijah Jacobs - 2 16.5 10.5 4.0 1.5 0.5 0.0 3.5 13.5 -0.5 - - - 33.3 12.5 100.0 - 37.7 35.2
Za'Nya Henderson - 2 37.0 9.0 7.5 1.0 1.5 0.0 4.0 11.0 4.0 -27 -2.2 -2.4 31.8 0.0 66.7 0.02 36.5 31.8
Ally Cuffy - 2 33.5 5.0 9.5 4.0 1.0 0.5 2.5 8.0 9.5 - - - 25.0 25.0 33.3 - 28.9 28.1
Trinity Sierra - 2 33.0 4.0 6.0 0.5 1.0 0.0 3.0 9.5 -1.0 - - - 10.5 100.0 75.0 - 19.3 13.2
Cherokee Wheeler - 2 15.5 3.0 2.0 0.5 1.0 0.0 1.0 4.5 1.0 - - - 22.2 0.0 66.7 - 29.1 22.2
Denise Maldonado-Jones - 2 18.0 1.0 1.0 0.5 0.5 0.0 1.0 2.0 0.0 - - - 25.0 0 0.0 - 20.5 25.0
Beulah Dixon Blake - 1 0.0 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