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UMSV

Also known as: UMSV
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 → 727 (#642) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 681 (#642) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 767 (#769) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -27.9 (#406) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -21.7 (#697) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.297 (#599) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -27.3 More → 0.041 (#714) AdjNet -27.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -27.8 More → 0.038 (#715) AdjNet -27.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.6 | AdjD 85.0 More → 0.135 (#711) AdjO 64.6 | AdjD 85.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.0 | AdjD 82.2 More → 0.216 (#728) AdjO 68.0 | AdjD 82.2
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 → 0.094 (#754) 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 → 0.106 (#752) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 21 More → 609 (#645) RD 111 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Oswego St. L 66 - 106
2025-11-08 vs SUNY Poly L 64 - 90
2025-11-15 vs Delaware Valley L 62 - 87
2025-11-19 vs Lehman L 58 - 78
2025-11-22 vs Brooklyn L 63 - 69
2025-12-02 @ Hunter L 60 - 62
2025-12-04 @ Five Towns W 82 - 72
2025-12-13 vs Sarah Lawrence L 46 - 56
2025-12-16 vs Wm. Paterson L 78 - 87
2025-12-19 vs Washington Col. L 65 - 67
2026-01-04 vs Yeshiva L 74 - 80
2026-01-07 @ Mt. St. Mary (NY) W 68 - 57
2026-01-10 vs Purchase L 71 - 74
2026-01-14 vs Manhattanville L 64 - 82
2026-01-17 vs Merchant Marine L 72 - 79
2026-01-21 @ St. Joseph's (L.I.) L 70 - 85
2026-01-24 vs St. Joseph's (Brkln) L 73 - 99
2026-01-28 @ SUNY Maritime L 82 - 106
2026-01-31 vs Farmingdale St. L 70 - 99
2026-02-04 @ Old Westbury L 70 - 80
2026-02-07 @ Sarah Lawrence L 57 - 65

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%
Eric Woodberry - 21 32.9 18.7 6.2 2.1 1.1 0.6 2.4 16.0 10.3 -128 -6.4 -29.5 43.5 32.0 71.1 -2.15 51.8 48.1
Joel Gado - 18 21.6 11.2 8.1 1.5 1.4 1.0 3.1 10.7 9.4 -86 -4.8 -42.3 42.7 13.0 73.9 -2.59 47.4 43.5
Alex Chi - 15 28.9 10.0 4.1 2.9 1.1 0.1 3.3 11.4 3.7 -71 -4.4 -23.0 34.5 27.5 65.0 -2.56 41.7 40.1
Blake Salice-Mitchell - 15 21.7 9.3 5.0 1.1 0.5 0.4 1.5 6.4 8.3 -71 -5.1 -24.8 53.1 40.0 61.4 -1.87 57.4 54.2
Matt Gerrity - 1 19.2 9.0 4.0 0.0 1.0 0.0 1.0 6.0 7.0 - - - 66.7 50.0 0 - 75.0 75.0
Louis Vidal - 20 22.1 6.7 3.7 1.5 0.7 0.2 2.1 6.0 4.6 -57 -3.0 -19.8 42.5 34.9 51.6 0.12 49.8 48.8
Gerard Novello - 14 21.7 5.0 1.2 1.9 0.2 0.0 1.9 5.6 0.8 -87 -6.7 -35.0 27.8 26.9 63.2 -0.76 40.1 36.7
James Bolton - 6 14.4 4.8 4.2 0.8 0.3 0.3 1.0 3.7 5.8 -10 -1.7 -25.8 50.0 0.0 70.0 -0.25 54.9 50.0
Aidan McCahey - 15 29.9 4.3 2.9 4.1 0.4 0.0 2.1 5.1 4.5 -57 -4.1 -101.8 26.0 24.2 84.2 -0.83 37.5 31.2
Tyler Conlee - 15 11.6 3.3 1.8 0.5 0.6 0.0 1.0 3.7 1.5 -50 -3.3 -19.2 27.3 28.6 72.7 -0.5 41.8 38.2
Elijah Benbow - 10 11.1 2.7 1.4 0.7 0.1 0.1 0.9 2.1 2.0 -71 -8.9 -61.3 33.3 25.0 81.8 -2.36 52.2 42.9
Brendan Baldi - 19 15.7 2.1 1.7 1.1 0.3 0.4 0.5 2.5 2.5 -50 -2.8 -28.5 31.9 28.6 0.0 -0.11 41.4 42.6
Nick Rivera - 11 10.4 2.1 1.8 0.5 0.2 0.0 1.2 2.5 0.9 -34 -3.4 -48.8 21.4 16.7 81.8 -1.4 35.0 25.0
Jack Hayward - 17 8.5 1.5 0.8 0.6 0.3 0.0 0.4 0.6 2.1 -38 -2.1 -66.9 72.7 83.3 57.1 0.27 88.8 95.5
Casyn Parsons - 4 7.4 1.2 0.5 0.0 0.0 0.2 0.2 1.5 0.2 -28 -9.3 -65.4 33.3 0.0 50.0 -1.19 36.3 33.3
Liam Brennan - 9 10.9 0.7 1.4 0.1 0.2 0.1 0.9 1.2 0.4 -70 -8.8 -83.2 18.2 0 50.0 -2.95 23.5 18.2

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