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Harvard

Season: 2026 2025 2024 2023 2022 2020 2019 2018 2016 2015
Also known as: Harvard
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 → 1032 (#229) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1057 (#237) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 994 (#499) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +10.3 (#227) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.976 (#200) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.5 More → 0.905 (#179) AdjNet +19.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +19.3 More → 0.906 (#179) AdjNet +19.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.1 | AdjD 61.5 More → 0.743 (#202) AdjO 73.1 | AdjD 61.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.8 | AdjD 72.6 More → 0.549 (#297) AdjO 74.8 | AdjD 72.6
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 → 0.727 (#173) 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 → 0.695 (#204) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1080 (#239) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs MIT W 79 - 50

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%
Thomas Batties II - 1 25.9 17.0 4.0 2.0 2.0 0.0 1.0 8.0 16.0 - - - 62.5 50.0 100.0 - 79.9 68.8
Chandler Pigge - 1 33.2 13.0 5.0 5.0 3.0 0.0 1.0 13.0 12.0 - - - 46.2 0.0 100.0 - 48.4 46.2
Tey Barbour - 1 21.7 12.0 6.0 0.0 0.0 0.0 2.0 7.0 9.0 - - - 57.1 57.1 0.0 - 80.6 85.7
Robert Hinton - 1 32.0 9.0 4.0 1.0 1.0 0.0 0.0 8.0 7.0 - - - 25.0 0.0 83.3 - 42.3 25.0
Kenan Parrish - 1 11.5 9.0 5.0 1.0 0.0 0.0 0.0 5.0 10.0 - - - 60.0 0 75.0 - 66.6 60.0
Austin Hunt - 1 20.5 8.0 4.0 0.0 2.0 0.0 1.0 3.0 10.0 - - - 100.0 100.0 33.3 - 92.6 116.7
Ryan Sullivan - 1 16.8 5.0 4.0 0.0 0.0 1.0 1.0 5.0 4.0 - - - 40.0 0 25.0 - 37.0 40.0
Greg Cooper - 1 2.6 3.0 0.0 0.0 0.0 0.0 0.0 1.0 2.0 - - - 100.0 100.0 0 - 150.0 150.0
Frankie Mannino - 1 13.3 2.0 4.0 0.0 0.0 0.0 0.0 2.0 4.0 - - - 50.0 0 0 - 50.0 50.0
Xavier Nesbitt - 1 7.6 1.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 - - - 0.0 0.0 50.0 - 26.6 0.0
Luca Ace-Nasteski - 1 2.9 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Dutch Dowdell - 1 3.9 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0.0 0 - 0.0 0.0
Avner Dror - 1 2.6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Payton Pitts - 1 2.6 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Joseph Quartey - 1 2.9 0.0 1.0 1.0 0.0 0.0 1.0 2.0 -1.0 - - - 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