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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 → 855 (#484) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 873 (#460) -
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 +2.8 More → -13.8 (#268) HCA +2.8
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 → 934 (#323) RD 101 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Stony Brook L 59 - 91
2025-11-15 vs Chestnut Hill W 85 - 72
2025-11-16 vs Jefferson L 55 - 70
2025-11-19 @ Holy Family L 35 - 79
2025-11-22 @ Caldwell L 32 - 63
2025-11-23 vs Southern Conn. St. L 50 - 79
2025-11-25 @ Pace L 62 - 75
2025-11-29 vs Saint Anselm L 51 - 63
2025-11-30 vs Franklin Pierce W 69 - 51
2025-12-05 @ D'Youville L 79 - 89
2025-12-07 @ Daemen L 66 - 78
2025-12-12 vs Roberts Wesleyan W 77 - 58
2025-12-17 vs Adelphi L 61 - 67
2025-12-31 vs Southern N.H. L 47 - 73
2026-01-10 vs Queens (NY) W 65 - 61
2026-01-16 vs D'Youville W 69 - 65
2026-01-18 vs Daemen L 60 - 73
2026-01-21 @ St. Thomas Aquinas W 71 - 64
2026-01-24 vs Mercy L 54 - 71
2026-01-31 vs Staten Island W 72 - 66
2026-02-04 @ Queens (NY) W 78 - 53
2026-02-07 @ Assumption L 45 - 63

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 - 22 37.6 19.9 7.6 1.4 0.8 1.1 2.6 17.7 10.5 -122 -5.8 -24.3 44.7 15.0 71.1 1.18 49.4 45.1
Sophia Yearwood - 22 36.0 13.1 3.3 2.9 0.8 0.1 1.9 11.5 6.9 -135 -6.4 -27.6 43.3 33.6 87.0 0.62 54.9 53.2
Rosa Rizzitelli - 22 30.5 11.0 7.0 5.0 1.4 0.3 4.0 11.0 9.6 -89 -4.0 -19.6 36.0 31.8 81.6 1.15 45.7 41.5
Sharmeela Ugbogbo - 21 23.8 5.4 8.3 0.9 0.7 1.8 2.7 5.2 9.2 -149 -7.5 -46.1 40.0 0 61.9 -4.12 44.4 40.0
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 -1.21 32.2 16.7
Iris Hoffman - 13 29.4 3.9 4.8 5.2 1.8 0.2 5.2 5.0 5.7 -75 -5.8 -34.0 24.6 20.0 100.0 -0.41 36.3 30.0
Grace Trotta - 16 13.2 3.0 1.4 0.2 0.2 0.1 0.6 3.9 0.5 17 1.1 11.0 27.4 28.6 66.7 0.1 37.1 35.5
Jamie Davneiro - 22 17.4 2.4 1.9 2.6 0.7 0.2 1.8 3.2 2.8 -35 -1.6 -14.9 22.5 25.0 68.0 0.07 32.3 25.4
Emma Poland - 18 13.1 1.8 2.8 0.6 0.3 0.8 0.8 2.1 3.3 -29 -1.6 -26.9 34.2 7.7 100.0 1.27 40.6 35.5
Kaitlyn Paulino Rosario - 19 8.2 1.7 1.1 0.3 0.1 0.0 0.9 1.8 0.4 -34 -1.9 -45.4 34.3 30.0 83.3 -1.21 42.5 38.6
Monique Echols - 18 10.4 1.7 0.9 0.6 0.4 0.0 0.6 2.7 0.4 -21 -1.2 -42.2 20.8 25.0 50.0 -0.62 30.7 30.2
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 -0.98 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