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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 โ†’ 668 (#399) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 622 (#401) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More โ†’ 767 (#769) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ -30.0 (#396) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ -21.7 (#697) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.297 (#290) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -27.3 More โ†’ 0.041 (#372) AdjNet -27.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -27.8 More โ†’ 0.038 (#372) 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 โ†’ 0.135 (#371) 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 โ†’ 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 โ†’ 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 โ†’ 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 112 | GP 21 More โ†’ 605 (#636) RD 112 | 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) - Incomplete score
2026-01-28 @ SUNY Maritime - Incomplete score
2026-01-31 vs Farmingdale St. - Incomplete score
2026-02-04 @ Old Westbury L 70 - 80
2026-02-07 @ Sarah Lawrence L 57 - 65
2026-02-10 @ Yeshiva L 71 - 107
2026-02-14 vs Mt. St. Mary (NY) W 95 - 84
2026-02-18 @ Purchase L 72 - 94
2026-02-21 @ Manhattanville L 62 - 95

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Eric Woodberry - 25 32.9 18.2 6.1 2.5 1.2 0.5 2.5 15.6 10.3 - - - - 43.0 29.9 70.5 - 51.0 47.1
Joel Gado - 18 21.6 11.2 8.1 1.5 1.4 1.0 3.1 10.7 9.4 - - - - 42.7 13.0 73.9 - 47.4 43.5
Blake Salice-Mitchell - 19 22.1 9.9 5.1 1.3 0.5 0.4 1.5 6.9 8.9 - - - - 55.0 40.0 62.3 - 58.6 55.7
Alex Chi - 19 27.8 9.2 3.8 2.6 0.9 0.2 3.0 10.9 2.7 - - - - 32.7 26.5 59.3 - 39.6 38.0
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 - 24 22.0 6.5 3.7 1.5 0.8 0.3 2.1 6.3 4.2 - - - - 39.5 31.4 52.8 - 46.2 44.7
Gerard Novello - 18 23.2 5.8 1.6 2.1 0.2 0.1 1.9 6.7 1.1 - - - - 28.1 28.4 59.1 - 39.8 37.6
James Bolton - 6 14.4 4.8 4.2 0.8 0.3 0.3 1.0 3.7 5.8 - - - - 50.0 0.0 70.0 - 54.9 50.0
Tyler Conlee - 19 12.3 4.3 2.2 0.5 0.6 0.0 1.0 4.3 2.3 - - - - 32.9 29.6 73.3 - 45.7 42.7
Aidan McCahey - 15 29.9 4.3 2.9 4.1 0.4 0.0 2.1 5.1 4.5 - - - - 26.0 24.2 84.2 - 37.5 31.2
Elijah Benbow - 14 11.6 3.6 1.4 0.6 0.1 0.1 0.7 2.6 2.5 - - - - 41.7 30.4 81.2 - 58.1 51.4
Nick Rivera - 14 10.0 3.4 2.1 0.4 0.1 0.1 1.0 3.3 1.9 - - - - 32.6 27.3 75.0 - 45.2 39.1
Brendan Baldi - 23 15.2 2.0 1.8 1.0 0.3 0.3 0.5 2.3 2.5 - - - - 31.5 27.5 0.0 - 40.7 41.7
Liam Brennan - 13 13.6 2.0 2.7 0.2 0.2 0.2 1.0 2.0 2.2 - - - - 34.6 0 61.5 - 41.0 34.6
Jack Hayward - 20 8.0 1.4 0.8 0.6 0.2 0.1 0.3 0.6 2.2 - - - - 75.0 83.3 66.7 - 90.9 95.8
Casyn Parsons - 4 7.4 1.2 0.5 0.0 0.0 0.2 0.2 1.5 0.2 - - - - 33.3 0.0 50.0 - 36.3 33.3

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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