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Vassar

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Vassar
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 → 1166 (#74) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1148 (#85) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1098 (#97) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +2.2 (#96) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +2.7 (#304) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.470 (#204) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.0 More → 0.334 (#172) AdjNet -6.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -6.2 More → 0.325 (#172) AdjNet -6.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.4 | AdjD 76.1 More → 0.394 (#173) AdjO 71.4 | AdjD 76.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.9 | AdjD 65.8 More → 0.656 (#139) AdjO 72.9 | AdjD 65.8
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 → 0.614 (#300) 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 → 0.630 (#284) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 22 More → 1132 (#125) RD 102 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-12 @ Marist - Incomplete score
2025-11-14 vs SUNY Geneseo W 83 - 68
2025-11-15 vs Hartford W 89 - 74
2025-11-21 vs SUNY New Paltz W 77 - 56
2025-11-22 @ Mt. St. Mary (NY) W 105 - 58
2025-12-03 @ Williams L 69 - 79
2025-12-05 vs Ithaca W 88 - 85
2025-12-06 vs Hobart W 85 - 74
2025-12-30 @ Claremont-M-S L 61 - 73
2026-01-02 @ Chapman L 69 - 70
2026-01-09 vs Clarkson W 56 - 54
2026-01-10 vs St. Lawrence W 70 - 44
2026-01-16 @ RIT W 73 - 64
2026-01-17 @ Union (NY) W 76 - 74
2026-01-20 @ Skidmore W 67 - 46
2026-01-23 vs Rensselaer - Incomplete score
2026-01-24 vs Bard - Incomplete score
2026-01-30 @ St. Lawrence - Incomplete score
2026-01-31 @ Clarkson - Incomplete score
2026-02-03 vs Skidmore W 82 - 75
2026-02-06 @ Bard W 81 - 70
2026-02-07 @ Rensselaer L 58 - 61
2026-02-13 vs Union (NY) W 68 - 61
2026-02-14 vs RIT W 67 - 61
2026-02-20 @ Hobart L 68 - 70
2026-02-21 @ Ithaca L 73 - 76
2026-02-24 vs Skidmore W 67 - 64
2026-02-27 @ Union (NY) W 72 - 67
2026-03-01 @ Rensselaer W 57 - 53
2026-03-06 @ Hood L 71 - 84

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%
Shea Fitzgerald - 28 33.4 17.1 5.0 3.0 1.6 0.0 1.8 13.8 11.1 - - - - 38.6 38.5 89.1 - 55.0 49.2
Parker Neuenhaus - 29 26.8 14.0 6.1 1.7 0.2 0.8 1.6 12.4 8.8 - - - - 49.6 33.3 64.4 - 52.9 51.4
Avery Lee - 11 18.8 11.9 2.2 3.0 0.7 0.0 1.4 9.2 7.3 - - - - 45.5 43.6 84.6 - 58.3 54.0
Nathan Denham - 27 23.1 9.2 7.0 0.9 1.6 0.9 1.2 7.5 11.1 - - - - 53.0 17.4 60.8 - 55.5 54.0
Sebastian Medina - 28 25.7 5.5 4.3 2.6 1.0 0.9 1.5 6.5 6.3 - - - - 30.8 22.2 65.0 - 38.6 35.2
Sacha Greenberg - 27 13.0 5.5 3.7 0.5 0.1 0.3 0.4 4.9 4.7 - - - - 42.4 28.9 73.7 - 52.7 50.8
Kreekor Karageuzian - 28 27.7 4.8 4.4 3.3 1.3 0.2 1.7 4.8 7.4 - - - - 36.6 22.2 73.8 - 43.6 38.1
Kas Mirza - 19 8.1 4.8 1.3 0.3 0.1 0.0 0.5 3.4 2.6 - - - - 43.1 46.3 68.0 - 60.5 57.7
Will Gregory - 28 10.3 3.7 1.0 0.5 0.3 0.0 0.5 3.5 1.6 - - - - 38.4 31.9 62.5 - 50.7 50.0
Eric Zhang - 29 9.1 2.5 1.0 0.4 0.4 0.1 0.4 2.7 1.4 - - - - 37.7 27.3 47.1 - 42.6 41.6
Gyasi Zinn - 28 17.6 2.5 4.9 0.6 0.4 1.1 0.7 2.4 6.5 - - - - 46.3 0.0 36.0 - 45.5 46.3
Kale Elmhorst - 13 3.7 1.4 0.6 0.2 0.0 0.0 0.0 1.5 0.6 - - - - 30.0 35.7 50.0 - 43.1 42.5
Noah Mann - 12 2.1 0.6 0.3 0.1 0.1 0.0 0.6 0.3 0.2 - - - - 50.0 100.0 100.0 - 71.7 62.5
Jack Moineau - 12 1.9 0.3 0.3 0.1 0.0 0.0 0.1 0.6 0.1 - - - - 14.3 0.0 100.0 - 25.4 14.3
JP Miranda - 7 1.8 0.0 0.1 0.3 0.1 0.0 0.1 0.4 0.0 - - - - 0.0 0 0 - 0.0 0.0
Preston Neuenhaus - 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0

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