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Molloy

Also known as: Molloy
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 → 898 (#444) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 900 (#430) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 974 (#515) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -11.6 (#311) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -8.7 (#494) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.308 (#439) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -14.5 More → 0.119 (#390) NetEff -14.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -11.2 More → 0.216 (#512) AdjNet -11.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.8 More → 0.218 (#514) AdjNet -10.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.7 | AdjD 69.1 More → 0.359 (#499) AdjO 62.7 | AdjD 69.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.4 | AdjD 67.7 More → 0.360 (#571) AdjO 61.4 | AdjD 67.7
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 → 0.278 (#540) 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 → 0.296 (#533) 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 23 More → 927 (#325) RD 101 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Stony Brook - Incomplete score
2025-11-15 vs Chestnut Hill - Incomplete score
2025-11-16 vs Jefferson - Incomplete score
2025-11-19 @ Holy Family - Incomplete score
2025-11-22 @ Caldwell - Incomplete score
2025-11-23 vs Southern Conn. St. - Incomplete score
2025-11-25 @ Pace - Incomplete score
2025-11-29 vs Saint Anselm - Incomplete score
2025-11-30 vs Franklin Pierce - Incomplete score
2025-12-05 @ D'Youville - Incomplete score
2025-12-07 @ Daemen - Incomplete score
2025-12-12 vs Roberts Wesleyan - Incomplete score
2025-12-17 vs Adelphi - Incomplete score
2025-12-31 vs Southern N.H. - Incomplete score
2026-01-10 vs Queens (NY) - Incomplete score
2026-01-16 vs D'Youville - Incomplete score
2026-01-18 vs Daemen - Incomplete score
2026-01-21 @ St. Thomas Aquinas - Incomplete score
2026-01-24 vs Mercy - Incomplete score
2026-01-31 vs Staten Island - Incomplete score
2026-02-04 @ Queens (NY) - Incomplete score
2026-02-07 @ Assumption - 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%
Colleen McCullagh - 21 37.7 20.0 7.7 1.3 0.8 1.0 2.6 18.0 10.2 -122 -5.8 -24.3 44.2 15.8 70.9 0.39 48.9 44.6
Sophia Yearwood - 21 36.3 13.4 3.4 3.0 0.9 0.1 2.0 11.6 7.2 -135 -6.4 -27.6 43.4 34.2 87.0 -3.82 55.5 53.7
Rosa Rizzitelli - 21 30.6 10.9 7.0 5.0 1.4 0.3 3.8 11.0 9.9 -89 -4.0 -19.6 35.7 30.5 83.0 3.42 45.5 41.1
Sharmeela Ugbogbo - 20 23.7 5.5 8.6 0.9 0.7 1.9 2.6 5.3 9.7 -149 -7.5 -46.1 40.2 0 62.5 -4.78 44.5 40.2
K. Paulino Rosario - 1 16.0 5.0 1.0 1.0 0.0 0.0 2.0 6.0 -1.0 -34 -1.9 -45.4 16.7 0.0 75.0 -1.6 32.2 16.7
Iris Hoffman - 12 29.1 3.2 4.8 4.8 1.8 0.2 4.9 4.8 5.2 -75 -5.8 -34.0 19.3 16.1 100.0 0.02 31.3 23.7
Grace Trotta - 15 13.8 3.1 1.5 0.3 0.1 0.1 0.6 4.1 0.4 17 1.1 11.0 26.2 28.6 66.7 1.73 36.1 34.4
Jamie Davneiro - 21 17.9 2.4 2.0 2.7 0.8 0.2 1.8 3.3 3.0 -35 -1.6 -14.9 21.4 25.0 73.9 1.98 31.8 24.3
Emma Poland - 17 13.6 1.9 2.9 0.6 0.3 0.9 0.9 2.2 3.5 -29 -1.6 -26.9 34.2 7.7 100.0 -0.89 40.6 35.5
Monique Echols - 17 10.0 1.8 0.9 0.6 0.4 0.0 0.6 2.6 0.6 -21 -1.2 -42.2 22.7 27.3 50.0 -0.04 33.4 33.0
Kaitlyn Paulino Rosario - 18 7.8 1.6 1.1 0.3 0.1 0.0 0.9 1.8 0.3 -34 -1.9 -45.4 31.2 33.3 83.3 -1.6 40.4 35.9
Jianna Davneiro - 9 4.7 1.1 1.1 0.1 0.2 0.1 1.0 2.2 -0.6 -25 -2.3 -172.4 15.0 10.0 50.0 -0.86 22.1 17.5

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