🐻⬇️🏀

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 → 995 (#391) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 946 (#435) -
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 +2.3 More → -13.8 (#295) HCA +2.3
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 → 920 (#452) RD 101 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Mitchell W 77 - 74
2025-11-12 @ WestConn L 76 - 83
2025-11-16 @ Fordham L 62 - 96
2025-11-18 @ Hunter W 81 - 71
2025-11-22 vs NYU L 57 - 75
2025-11-29 @ Union (NY) L 66 - 88
2025-11-30 @ Russell Sage L 68 - 89
2025-12-03 @ York (NY) W 79 - 72
2025-12-07 vs Medgar Evers W 84 - 48
2025-12-09 @ John Jay W 90 - 86
2025-12-13 @ Yeshiva L 67 - 79
2026-01-03 @ Mt. St. Mary (NY) W 65 - 63
2026-01-07 vs Purchase W 70 - 59
2026-01-10 vs Sarah Lawrence L 67 - 70
2026-01-14 @ UMSV W 82 - 64
2026-01-17 vs Farmingdale St. L 74 - 76
2026-01-20 @ SUNY Maritime L 68 - 78
2026-01-24 vs Merchant Marine W 61 - 51
2026-01-29 @ Old Westbury L 65 - 66
2026-01-31 vs St. Joseph's (Brkln) L 77 - 89
2026-02-04 @ St. Joseph's (L.I.) W 60 - 53
2026-02-08 vs Yeshiva L 17 - 20

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 - 20 34.8 14.5 4.0 2.9 1.1 0.1 2.5 13.2 7.0 32 1.7 10.0 38.0 30.2 79.0 1.37 48.6 43.0
Isiah Middleton - 22 30.9 13.8 6.9 0.7 0.6 0.8 1.4 11.7 9.7 40 2.0 10.4 49.6 10.0 83.6 -0.26 53.9 50.0
Chris Robinson - 22 31.3 13.8 5.4 3.9 2.1 0.7 2.4 12.3 11.2 12 0.6 2.9 40.6 28.7 59.8 -1.25 48.1 44.8
John Ranaghan - 22 31.5 11.0 3.5 1.5 1.0 0.3 1.0 9.5 6.9 51 2.4 12.3 43.3 30.6 71.1 0.17 53.6 51.4
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 1.57 51.1 45.6
Daniel Marinaccio - 22 19.2 4.3 2.4 0.8 0.8 0.0 0.6 4.4 3.4 23 1.1 7.0 33.3 32.8 69.2 -0.52 46.2 44.3
Antonio Del Vescovo - 22 9.5 3.0 2.6 0.5 0.3 0.1 0.6 2.0 4.0 -32 -1.6 -16.8 65.1 0 38.5 0.93 60.6 65.1
Jack Maloney - 10 9.0 3.0 1.6 0.5 0.3 0.0 0.3 2.3 2.8 0 0.0 0.0 39.1 27.3 90.0 0.22 54.7 45.7
Andrew Melillo - 22 15.3 2.4 3.0 1.6 0.7 0.2 0.7 2.5 4.6 -5 -0.3 -2.5 30.4 16.7 83.3 -1.14 40.7 33.0
Tyler Kuhn - 3 6.4 2.0 1.0 0.7 0.7 0.0 0.3 3.3 0.7 - - - 20.0 50.0 33.3 - 26.5 25.0
Triston Marrero - 2 4.5 2.0 2.0 0.0 0.0 0.0 0.5 0.5 3.0 - - - 100.0 100.0 50.0 - 106.4 150.0
Curtis Staie - 3 4.8 2.0 0.3 0.3 0.0 0.0 0.3 1.7 0.7 - - - 40.0 66.7 0 - 60.0 60.0
Neven Noor - 4 5.1 1.8 0.5 0.2 0.8 0.0 0.2 0.8 2.2 2 0.7 39.3 100.0 100.0 0 0.27 116.7 116.7
Nasir Emery - 2 3.5 1.0 0.0 0.0 0.5 1.0 0.5 0.5 1.5 - - - 100.0 0 0 - 100.0 100.0
Jack Quinn - 5 3.3 1.0 0.6 0.0 0.0 0.0 0.2 1.2 0.2 - - - 33.3 0 50.0 - 36.3 33.3
James Apostolico - 13 4.5 0.8 0.6 0.1 0.1 0.0 0.1 1.0 0.5 -2 -0.2 -44.9 23.1 12.5 30.0 -0.05 28.7 26.9

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