🐻⬇️🏀

Vassar

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 → 1139 (#97) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1122 (#113) -
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 → +2.9 (#161) 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 (#491) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.0 More → 0.334 (#437) AdjNet -6.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -6.2 More → 0.325 (#437) 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 (#439) 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 - Incomplete score
2025-11-15 vs Hartford - Incomplete score
2025-11-21 vs SUNY New Paltz - Incomplete score
2025-11-22 @ Mt. St. Mary (NY) - Incomplete score
2025-12-03 @ Williams - Incomplete score
2025-12-05 vs Ithaca - Incomplete score
2025-12-06 vs Hobart - Incomplete score
2025-12-30 @ Claremont-M-S - Incomplete score
2026-01-02 @ Chapman - Incomplete score
2026-01-09 vs Clarkson - Incomplete score
2026-01-10 vs St. Lawrence - Incomplete score
2026-01-16 @ RIT - Incomplete score
2026-01-17 @ Union (NY) - Incomplete score
2026-01-20 @ Skidmore - Incomplete score
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 - Incomplete score
2026-02-06 @ Bard - Incomplete score
2026-02-07 @ Rensselaer - 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%
Will Householter - 1 38.0 24.0 6.0 5.0 2.0 1.0 2.0 18.0 18.0 56 3.7 33.5 50.0 60.0 75.0 2.33 60.7 58.3
Avery Lee - 8 25.9 16.4 3.0 4.1 1.0 0.0 1.9 12.6 10.0 -2 -0.3 -2.5 45.5 43.6 84.6 -1.41 58.3 54.0
Shea Fitzgerald - 20 31.5 16.3 4.3 3.1 1.6 0.0 1.8 13.2 10.3 175 9.2 29.6 39.6 39.3 88.1 6.27 55.4 50.4
Parker Neuenhaus - 20 24.7 13.1 5.9 1.6 0.2 0.7 1.6 10.4 9.4 139 7.3 27.2 55.0 42.9 62.9 2.17 58.2 57.2
Joey Kennedy - 1 30.0 10.0 12.0 7.0 0.0 5.0 1.0 13.0 20.0 37 2.3 24.2 23.1 0 80.0 -0.15 32.9 23.1
Nathan Denham - 18 22.4 9.7 7.5 0.9 1.8 0.9 0.9 7.5 12.3 63 3.7 14.0 55.6 16.7 62.9 1.25 57.8 56.3
Sebastian Medina - 20 25.2 6.5 4.7 2.5 0.8 0.9 1.7 6.8 6.8 102 5.4 20.0 33.3 27.1 65.7 0.19 42.9 39.3
Sacha Greenberg - 20 14.3 6.0 4.2 0.6 0.1 0.3 0.5 5.4 5.5 19 1.0 7.3 40.7 29.2 77.8 -2.16 52.2 49.5
Brady Karich - 1 30.0 6.0 2.0 4.0 2.0 1.0 2.0 3.0 10.0 26 2.2 107.6 100.0 0 0 1.15 100.0 100.0
Will Gregory - 19 13.1 4.9 1.3 0.7 0.5 0.0 0.6 4.5 2.3 59 3.3 19.6 39.5 32.8 62.5 1.94 51.9 51.2
Kreekor Karageuzian - 20 24.9 4.5 4.5 3.1 1.4 0.2 1.6 4.0 8.1 85 4.5 16.8 41.2 25.0 70.4 -0.63 48.4 43.8
Kas Mirza - 13 5.3 3.2 1.1 0.3 0.2 0.0 0.2 2.7 1.8 -1 -0.1 -1.3 31.4 30.0 61.9 -1.48 46.3 40.0
Eric Zhang - 20 11.1 2.9 1.4 0.6 0.7 0.1 0.6 3.4 1.7 -9 -0.5 -3.9 35.8 23.5 46.2 -4.19 39.9 38.8
Gyasi Zinn - 20 16.8 2.5 4.5 0.7 0.3 1.1 0.7 2.5 5.9 15 0.8 5.1 48.0 0.0 27.3 -2.38 46.5 48.0
Kale Elmhorst - 9 5.4 2.0 0.9 0.2 0.0 0.0 0.0 2.2 0.9 1 0.1 2.0 30.0 35.7 50.0 0.32 43.1 42.5
James Frye - 1 10.0 2.0 6.0 0.0 0.0 0.0 1.0 3.0 4.0 14 1.4 156.3 33.3 0 0 - 33.3 33.3
Noah Mann - 8 3.2 0.9 0.5 0.1 0.1 0.0 0.9 0.5 0.2 0 0.0 0.0 50.0 100.0 100.0 2.3 71.7 62.5
Jack Moineau - 8 2.9 0.5 0.5 0.1 0.0 0.0 0.1 0.9 0.1 2 0.3 6.6 14.3 0.0 100.0 - 25.4 14.3
JP Miranda - 1 2.9 0.0 0.0 1.0 0.0 0.0 0.0 2.0 -1.0 -6 -6.0 -83.7 0.0 0 0 - 0.0 0.0
Luke Jacobson - 1 9.0 0.0 2.0 0.0 1.0 2.0 1.0 1.0 3.0 -15 -1.4 -103.4 0.0 0 0 - 0.0 0.0
Samuel Gibbs - 1 14.0 0.0 0.0 0.0 0.0 0.0 1.0 2.0 -3.0 -141 -9.4 -31.0 0.0 0 0 1.2 0.0 0.0

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