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Adelphi

Also known as: Adelphi
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 → 1000 (#265) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1017 (#265) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 972 (#520) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -0.7 (#233) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -1.7 (#391) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.430 (#388) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +12.6 More → 0.866 (#154) NetEff +12.6
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +3.7 More → 0.639 (#235) NetEff +3.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.6 More → 0.427 (#436) AdjNet -2.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.1 More → 0.438 (#433) AdjNet -2.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.2 | AdjD 58.2 More → 0.478 (#427) AdjO 57.2 | AdjD 58.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 54.0 | AdjD 55.2 More → 0.473 (#425) AdjO 54.0 | AdjD 55.2
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 → 0.495 (#364) 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 → 0.488 (#366) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 21 More → 988 (#266) RD 101 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Fordham - Incomplete score
2025-11-14 vs Caldwell - Incomplete score
2025-11-15 vs Dominican (NY) - Incomplete score
2025-11-19 @ Mercy - Incomplete score
2025-11-25 vs Queens (NY) - Incomplete score
2025-12-03 vs American Int'l - Incomplete score
2025-12-06 @ Franklin Pierce - Incomplete score
2025-12-10 vs Staten Island - Incomplete score
2025-12-13 @ Pace - Incomplete score
2025-12-17 @ Molloy - Incomplete score
2026-01-04 vs Saint Anselm - Incomplete score
2026-01-07 @ Assumption - Incomplete score
2026-01-10 @ Saint Michael's - Incomplete score
2026-01-13 vs Pace - Incomplete score
2026-01-17 vs Southern N.H. - Incomplete score
2026-01-21 @ Southern Conn. St. - Incomplete score
2026-01-24 @ Bentley - Incomplete score
2026-01-28 vs Franklin Pierce - Incomplete score
2026-01-31 @ Saint Anselm - Incomplete score
2026-02-04 vs Assumption - Incomplete score
2026-02-07 vs Saint Michael's - 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%
Isabella Asencio - 2 32.3 24.5 1.5 4.5 3.0 0.0 3.0 20.0 10.5 16 3.2 9.7 47.5 40.0 90.0 2.22 55.2 50.0
Victoria Morales - 20 30.2 12.9 4.8 2.6 2.4 0.5 3.0 12.3 7.8 -24 -1.2 -6.2 37.4 34.8 77.8 0.08 47.8 43.9
Madison Williams - 20 16.5 7.2 2.8 0.2 0.6 0.2 1.9 7.2 1.8 34 1.8 15.6 36.6 34.2 75.0 2.37 47.0 45.2
Christina Sanchez - 20 29.9 6.9 2.0 1.8 2.4 0.4 1.4 8.1 4.0 -67 -2.9 -13.5 33.3 23.1 40.5 -4.28 38.7 38.0
Gianna Chuffo - 20 14.1 6.1 0.8 0.5 0.4 0.0 1.2 7.2 -0.8 45 2.2 50.3 29.7 27.7 61.5 2.26 40.5 39.3
Me'Challe Cancer - 20 28.5 5.5 5.8 1.1 1.5 0.6 1.6 6.2 6.9 -30 -1.4 -7.4 25.2 24.4 69.6 -0.93 37.6 29.3
Gamila Betton - 20 25.8 5.4 6.4 1.3 1.4 0.6 1.5 5.7 7.8 5 0.2 1.5 38.6 0.0 69.0 1.96 42.6 38.6
Lauren Beberman - 18 28.7 4.0 6.2 2.1 3.2 2.1 1.9 5.4 10.2 -5 -0.2 -1.0 24.7 9.5 59.5 0.46 31.8 25.8
Kirina Azemar - 17 9.9 3.8 0.8 0.2 0.5 0.1 1.4 4.9 -1.0 -3 -0.2 -3.1 25.0 15.0 69.0 -0.04 33.6 26.8
Adout Ring - 16 6.1 1.9 1.6 0.3 0.2 0.0 0.5 1.1 2.4 -6 -0.4 -4.9 55.6 66.7 60.0 -1.22 63.0 61.1
Beth Healy - 18 8.5 1.1 2.7 0.1 0.3 0.3 0.7 1.6 2.3 -4 -0.2 -2.4 28.6 50.0 75.0 0.85 33.6 30.4
Sofia Kammas - 15 6.0 0.4 0.8 0.5 0.1 0.1 0.9 1.1 -0.1 1 0.1 3.9 12.5 14.3 50.0 -0.25 17.8 15.6
Alyssa Bell - 3 3.0 0.0 0.3 0.0 0.0 0.0 0.3 0.0 0.0 61 2.9 12.3 0 0 0 4.34 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