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Molloy

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
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 → 857 (#399) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 799 (#519) -
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 +2.8 More → -6.7 (#270) HCA +2.8
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 (#416) 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 → 0.381 (#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 21 More → 925 (#310) RD 112 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-10 @ Hofstra L 61 - 95
2025-11-14 @ Pace L 57 - 83
2025-11-16 vs Adelphi L 74 - 87
2025-11-19 vs Dominican (NY) L 85 - 89
2025-11-22 @ Saint Anselm L 92 - 97
2025-11-23 @ Southern N.H. L 82 - 111
2025-11-30 @ Holy Family L 90 - 98
2025-12-02 vs East Stroudsburg L 91 - 106
2025-12-05 @ D'Youville L 79 - 82
2025-12-07 @ Daemen L 62 - 94
2025-12-12 vs Roberts Wesleyan W 90 - 75
2025-12-16 @ Goldey-Beacom L 86 - 94
2025-12-20 @ Southern Conn. St. L 60 - 78
2025-12-31 vs Saint Michael's L 78 - 85
2026-01-10 vs Queens (NY) W 87 - 78
2026-01-16 vs D'Youville W 84 - 76
2026-01-18 vs Daemen L 74 - 116
2026-01-21 @ St. Thomas Aquinas L 74 - 104
2026-01-24 vs Mercy W 81 - 56
2026-01-31 vs Staten Island W 100 - 97
2026-02-04 @ Queens (NY) W 83 - 74

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 0.89 68.7 67.6
Bryce Merchant - 15 34.4 18.1 6.3 1.7 0.5 0.4 0.8 12.9 13.3 43 3.1 29.7 52.3 34.5 81.7 -0.97 61.8 57.5
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 -0.22 56.7 53.0
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 0.57 53.1 49.3
Darius Coleman - 3 27.7 13.7 5.7 1.0 0.7 0.0 1.0 10.3 9.7 3 1.5 2.6 45.2 50.0 69.2 0.19 55.8 51.6
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 0.21 66.7 66.7
Chase Timberlake - 18 26.4 11.1 4.7 2.2 1.2 0.1 1.4 8.6 9.2 5 0.3 1.6 42.9 25.0 66.7 0.33 53.2 48.4
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 2.15 112.5 112.5
Jared Weakly - 19 27.8 9.0 7.6 2.6 1.7 2.6 2.0 7.6 14.0 18 1.0 4.2 48.6 35.1 72.0 1.3 55.2 53.1
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 0.18 40.5 44.4
Raymond Kinnard - 1 24.8 8.0 3.0 2.0 0.0 0.0 1.0 11.0 1.0 - - - 36.4 0.0 0.0 - 33.7 36.4
Sebastian Bosquez - 19 18.4 7.4 2.8 1.2 0.4 0.2 2.2 6.4 3.5 -59 -3.3 -39.7 44.3 47.1 65.8 -1.07 50.8 47.5
Manu Alford - 18 24.5 6.4 3.6 1.6 1.3 0.3 1.7 5.9 5.6 18 1.3 34.5 40.6 42.4 80.0 1.28 50.5 47.2
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 1.29 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 0.27 35.8 33.3
Sey Dieng - 19 17.4 3.2 3.4 1.9 1.2 0.1 0.9 3.4 5.4 -35 -2.1 -14.3 35.4 32.4 42.9 -1.31 44.1 43.8
Harry Adam - 1 2.3 2.0 0.0 0.0 1.0 0.0 0.0 1.0 2.0 - - - 100.0 0 0 - 100.0 100.0
Saba Beroshvili - 1 2.3 2.0 0.0 0.0 0.0 0.0 0.0 2.0 0.0 - - - 50.0 0.0 0 - 50.0 50.0
Ebubenna Nwabudu - 15 5.3 1.2 1.1 0.2 0.1 0.2 0.3 1.1 1.4 0 0.0 0.0 41.2 0.0 57.1 -1.38 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