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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 → 903 (#463) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 850 (#496) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 995 (#312) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → -6.1 (#315) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -5.9 (#409) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.226 (#474) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +5.7 More → 0.649 (#241) NetEff +5.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -11.8 More → 0.205 (#549) AdjNet -11.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.8 More → 0.201 (#551) AdjNet -11.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.5 | AdjD 86.1 More → 0.295 (#564) AdjO 76.5 | AdjD 86.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.1 | AdjD 83.8 More → 0.373 (#479) AdjO 78.1 | AdjD 83.8
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 → 0.373 (#417) 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 → 0.380 (#415) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 112 | GP 20 More → 925 (#319) RD 112 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-10 @ Hofstra - Incomplete score
2025-11-14 @ Pace - Incomplete score
2025-11-16 vs Adelphi - Incomplete score
2025-11-19 vs Dominican (NY) - Incomplete score
2025-11-22 @ Saint Anselm - Incomplete score
2025-11-23 @ Southern N.H. - Incomplete score
2025-11-30 @ Holy Family - Incomplete score
2025-12-02 vs East Stroudsburg - Incomplete score
2025-12-05 @ D'Youville - Incomplete score
2025-12-07 @ Daemen - Incomplete score
2025-12-12 vs Roberts Wesleyan - Incomplete score
2025-12-16 @ Goldey-Beacom - Incomplete score
2025-12-20 @ Southern Conn. St. - Incomplete score
2025-12-31 vs Saint Michael's - 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 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%
Tre Powell - 1 26.0 27.0 2.0 4.0 2.0 0.0 3.0 17.0 15.0 103 6.1 30.8 58.8 42.9 66.7 -1.15 68.7 67.6
Bryce Merchant - 14 34.3 18.4 6.8 1.7 0.5 0.4 0.9 12.8 14.1 43 3.1 29.7 53.1 35.2 81.7 -0.43 62.8 58.4
Dylan Kopp - 17 28.6 14.8 2.5 2.2 0.6 0.0 3.3 11.8 4.9 -17 -1.3 -92.3 47.3 35.9 82.6 -1.32 56.7 53.0
Darius Coleman - 2 29.4 14.5 5.5 0.5 0.5 0.0 0.5 10.5 10.0 3 1.5 2.6 47.6 50.0 66.7 -0.53 58.1 54.8
Chris Stokel - 18 28.3 14.1 3.3 3.6 0.8 0.6 2.6 11.7 8.1 24 1.3 5.9 42.7 30.1 71.9 1.7 53.1 49.3
Jalen Robinson - 1 15.0 12.0 5.0 2.0 2.0 0.0 2.0 9.0 10.0 95 7.3 310.6 44.4 44.4 0 -1.0 66.7 66.7
Chase Timberlake - 17 26.4 11.5 4.7 2.4 1.2 0.1 1.3 8.8 9.7 5 0.3 1.6 43.3 25.8 68.1 -0.36 53.9 49.0
Justin Allen - 1 11.0 9.0 3.0 0.0 1.0 0.0 0.0 4.0 9.0 41 3.2 60.2 100.0 100.0 0 5.85 112.5 112.5
Jared Weakly - 18 27.4 8.8 7.7 2.5 1.7 2.7 2.0 7.1 14.3 18 1.0 4.2 50.0 40.0 72.0 1.23 56.8 54.7
Julian Williams - 1 30.0 8.0 4.0 2.0 0.0 2.0 2.0 9.0 5.0 70 4.4 50.9 44.4 0.0 0.0 -0.59 40.5 44.4
Sebastian Bosquez - 18 18.6 7.5 2.7 1.3 0.4 0.2 2.1 6.3 3.7 -59 -3.3 -39.7 44.7 47.1 65.8 0.29 51.6 48.2
Manu Alford - 17 24.9 6.7 3.7 1.6 1.4 0.3 1.8 6.1 5.9 18 1.3 34.5 40.8 43.8 80.0 2.39 51.0 47.6
Anthony Akande - 1 24.0 4.0 9.0 2.0 4.0 0.0 0.0 8.0 11.0 111 7.4 108.0 25.0 0 0 2.96 25.0 25.0
Joshua Malcolm - 7 17.8 3.4 0.6 2.6 0.7 0.0 0.9 4.3 2.1 -1 -0.1 -1.2 30.0 14.3 50.0 1.08 35.8 33.3
Sey Dieng - 18 17.6 3.3 3.4 1.9 1.2 0.1 0.9 3.6 5.5 -35 -2.1 -14.3 35.9 32.4 42.9 -2.7 44.7 44.5
Ebubenna Nwabudu - 14 5.5 1.3 1.1 0.2 0.1 0.2 0.3 1.2 1.5 0 0.0 0.0 41.2 0.0 57.1 -1.67 44.8 41.2

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