🐻⬇️🏀

Hamilton

Also known as: Hamilton
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 → 1016 (#211) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1083 (#179) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1042 (#206) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +8.0 (#109) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +8.2 (#229) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.702 (#365) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.8 More → 0.657 (#298) NetEff +4.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +13.4 More → 0.825 (#257) AdjNet +13.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +13.1 More → 0.825 (#258) AdjNet +13.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.1 | AdjD 60.0 More → 0.657 (#272) AdjO 67.1 | AdjD 60.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.3 | AdjD 58.3 More → 0.695 (#132) AdjO 67.3 | AdjD 58.3
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 → 0.700 (#217) 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 → 0.701 (#212) 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 → 1081 (#203) RD 102 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Salve Regina W 79 - 75
2025-11-15 vs Oswego St. W 79 - 62
2025-11-18 vs SUNY Brockport W 88 - 64
2025-11-21 @ Hartwick W 75 - 23
2025-11-22 @ SUNY Oneonta L 52 - 59
2025-11-25 @ Curry W 70 - 52
2025-12-03 @ SUNY Geneseo L 49 - 65
2025-12-10 @ St. Lawrence L 73 - 79
2025-12-13 vs Union (NY) W 71 - 68
2025-12-29 vs NYU L 48 - 86
2025-12-30 @ VTSU Castleton W 59 - 52
2026-01-11 @ Bates L 60 - 69
2026-01-16 vs Wesleyan (CT) W 63 - 49
2026-01-17 vs Trinity (CT) L 82 - 87
2026-01-24 vs Amherst L 56 - 61
2026-01-30 @ Bowdoin L 50 - 59
2026-01-31 @ Colby W 52 - 37
2026-02-06 @ Connecticut Col. L 68 - 75
2026-02-07 @ Tufts W 81 - 64

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%
Taylor Lambo - 19 29.1 14.6 9.0 2.6 1.2 0.9 2.5 10.7 15.3 87 4.0 36.8 55.7 12.5 65.4 0.93 58.6 55.9
Kendall Harris - 18 29.7 13.6 6.6 2.5 1.0 0.8 3.5 12.0 8.9 8 0.4 2.9 46.8 33.8 90.9 -1.62 54.1 51.9
Maggie Kernodle - 18 21.8 6.9 1.7 0.8 0.6 0.1 1.6 7.5 0.9 39 1.9 22.3 33.3 29.0 80.0 0.87 43.1 40.0
Annabelle Semeter - 19 14.9 6.1 1.8 0.5 0.9 0.3 1.2 5.5 3.0 44 2.1 37.7 41.9 33.3 95.2 2.14 50.8 45.7
Erica Hills - 19 20.7 5.9 3.0 1.2 0.9 0.3 1.1 5.7 4.5 77 3.5 51.1 37.6 17.5 88.5 -1.21 46.5 40.8
Abbey Schwoebel - 19 14.4 5.2 3.1 0.8 0.4 0.1 0.7 3.7 5.2 70 3.2 42.2 50.0 0 69.0 2.11 55.9 50.0
Hannah Bernstein - 15 19.9 4.9 3.2 1.9 1.1 0.1 1.9 4.8 4.5 75 4.2 119.5 36.1 23.7 60.0 -1.33 45.2 42.4
Althea Hill - 19 20.9 3.7 1.2 1.2 0.3 0.2 0.9 3.4 2.3 2 0.1 1.6 40.6 32.3 75.0 2.96 51.2 48.4
Zoe Myslewicz - 19 10.9 2.9 4.6 0.4 0.3 0.7 0.7 3.3 4.9 30 1.4 19.4 37.1 0 42.9 4.89 38.6 37.1
Reagan Dowd - 17 12.9 2.4 0.9 0.6 0.4 0.3 0.8 2.5 1.2 40 2.0 26.6 32.6 27.3 57.1 1.29 44.5 43.0
Jaylen Manning - 12 6.1 1.2 1.5 0.1 0.0 0.0 0.8 2.8 -0.8 -11 -0.8 -94.6 17.6 7.1 28.6 -2.02 20.2 19.1
Alexis Prybyla - 10 4.6 0.8 1.2 0.3 0.1 0.1 0.7 1.2 0.6 -9 -0.8 -68.1 33.3 0.0 0.0 -1.84 30.0 33.3
Mia Semioli - 13 5.5 0.8 0.8 0.2 0.3 0.0 0.8 1.0 0.2 -10 -0.7 -112.1 30.8 50.0 25.0 -1.31 33.9 34.6
Sophie Blomberg - 12 6.2 0.6 0.7 0.3 0.6 0.1 0.8 1.3 0.1 -5 -0.4 -40.4 18.8 0.0 50.0 0.08 20.7 18.8
Parker Kendall - 4 1.8 0.5 0.0 0.0 0.0 0.0 0.0 0.8 -0.2 0 0.0 0.0 33.3 0.0 0 -1.31 33.3 33.3

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