🐻⬇️🏀

Manhattanville

Also known as: Manhattanville
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 → 948 (#466) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 900 (#486) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 962 (#581) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -14.4 (#399) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -8.4 (#500) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.424 (#515) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -21.3 More → 0.079 (#664) AdjNet -21.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -21.7 More → 0.074 (#665) AdjNet -21.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.0 | AdjD 79.1 More → 0.187 (#665) AdjO 63.0 | AdjD 79.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.3 | AdjD 66.1 More → 0.436 (#531) AdjO 63.3 | AdjD 66.1
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 → 0.324 (#561) 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 → 0.342 (#553) 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 22 More → 923 (#454) RD 101 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Mitchell - Incomplete score
2025-11-12 @ WestConn - Incomplete score
2025-11-16 @ Fordham - Incomplete score
2025-11-18 @ Hunter - Incomplete score
2025-11-22 vs NYU - Incomplete score
2025-11-29 @ Union (NY) - Incomplete score
2025-11-30 @ Russell Sage - Incomplete score
2025-12-03 @ York (NY) - Incomplete score
2025-12-07 vs Medgar Evers - Incomplete score
2025-12-09 @ John Jay - Incomplete score
2025-12-13 @ Yeshiva - Incomplete score
2026-01-03 @ Mt. St. Mary (NY) - Incomplete score
2026-01-07 vs Purchase - Incomplete score
2026-01-10 vs Sarah Lawrence - Incomplete score
2026-01-14 @ UMSV - Incomplete score
2026-01-17 vs Farmingdale St. - Incomplete score
2026-01-20 @ SUNY Maritime - Incomplete score
2026-01-24 vs Merchant Marine - Incomplete score
2026-01-29 @ Old Westbury - Incomplete score
2026-01-31 vs St. Joseph's (Brkln) - Incomplete score
2026-02-04 @ St. Joseph's (L.I.) - Incomplete score
2026-02-08 vs Yeshiva - 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%
Andrew Saint-Louis - 19 35.3 14.8 4.1 2.9 1.2 0.2 2.5 13.3 7.3 32 1.7 10.0 38.9 30.6 77.9 -0.37 49.3 44.0
Isiah Middleton - 21 31.3 14.2 7.1 0.7 0.6 0.8 1.4 11.8 10.2 40 2.0 10.4 50.6 11.8 83.6 0.76 54.9 51.0
Chris Robinson - 21 31.2 13.7 5.4 3.8 2.0 0.8 2.4 12.3 11.0 12 0.6 2.9 40.7 27.0 58.8 0.01 47.7 44.6
John Ranaghan - 21 31.8 11.1 3.5 1.6 1.1 0.3 1.0 9.6 7.0 51 2.4 12.3 43.8 30.5 70.3 1.25 53.8 51.7
Carlos Urena - 20 24.3 6.6 2.6 1.9 0.9 0.1 1.6 5.7 4.9 20 1.1 6.5 38.1 30.4 78.4 0.29 51.1 45.6
Daniel Marinaccio - 21 19.0 4.5 2.4 0.9 0.9 0.0 0.6 4.5 3.6 23 1.1 7.0 34.0 33.9 69.2 -1.09 47.1 45.2
Antonio Del Vescovo - 21 9.7 3.0 2.7 0.5 0.3 0.1 0.5 2.0 4.1 -32 -1.6 -16.8 64.3 0 41.7 -1.98 60.9 64.3
Curtis Staie - 2 5.5 3.0 0.5 0.0 0.0 0.0 0.5 2.0 1.0 - - - 50.0 66.7 0 - 75.0 75.0
Jack Maloney - 9 8.7 2.8 1.4 0.6 0.3 0.0 0.3 2.1 2.7 0 0.0 0.0 36.8 22.2 90.0 -0.13 53.4 42.1
Andrew Melillo - 21 15.4 2.3 3.1 1.7 0.8 0.2 0.7 2.5 4.9 -5 -0.3 -2.5 30.8 11.8 83.3 -0.38 40.9 32.7
Nasir Emery - 1 3.5 2.0 0.0 0.0 0.0 2.0 1.0 1.0 2.0 - - - 100.0 0 0 - 100.0 100.0
Tyler Kuhn - 2 6.6 1.5 1.5 1.0 0.5 0.0 0.5 4.0 0.0 - - - 12.5 100.0 0 - 18.8 18.8
Jack Quinn - 4 2.8 1.2 0.5 0.0 0.0 0.0 0.2 1.2 0.2 - - - 40.0 0 50.0 0.85 42.5 40.0
Triston Marrero - 1 5.6 1.0 3.0 0.0 0.0 0.0 0.0 0.0 4.0 - - - 0 0 50.0 - 56.8 0
Neven Noor - 3 4.1 0.7 0.3 0.3 0.7 0.0 0.3 0.3 1.3 2 0.7 39.3 100.0 0 0 - 100.0 100.0
James Apostolico - 12 4.5 0.6 0.7 0.1 0.1 0.0 0.1 1.0 0.3 -2 -0.2 -44.9 16.7 0.0 30.0 -0.41 21.3 16.7

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