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Hofstra

Season: 2026 2025 2024 2023 2022 2019 2014
Also known as: Hofstra
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 → 1018 (#334) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1032 (#312) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1009 (#373) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +43.3 (#11) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#8) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +47.7 More → 0.996 (#15) AdjNet +47.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +48.5 More → 0.998 (#10) AdjNet +48.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 91.2 | AdjD 58.4 More → 0.952 (#28) AdjO 91.2 | AdjD 58.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.5 | AdjD 65.6 More → 0.810 (#22) AdjO 81.5 | AdjD 65.6
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 → 0.967 (#3) 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 → 0.953 (#3) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 330 | GP 1 More → 1036 (#310) RD 330 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-10 vs Old Westbury W 92 - 23

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%
Biggie Patterson - 1 15.3 17.0 12.0 0.0 0.0 0.0 1.0 8.0 20.0 - - - 87.5 66.7 50.0 - 95.7 100.0
Jaeden Roberts - 1 25.3 17.0 7.0 3.0 2.0 1.0 0.0 18.0 12.0 - - - 33.3 45.5 0.0 - 45.0 47.2
Cruz Davis - 1 22.5 15.0 3.0 3.0 0.0 1.0 3.0 9.0 10.0 - - - 55.6 33.3 75.0 - 69.7 66.7
Preston Edmead - 1 20.6 8.0 3.0 6.0 1.0 1.0 1.0 5.0 13.0 - - - 60.0 50.0 0 - 80.0 80.0
Joshua Aaron Reaves - 1 13.5 5.0 0.0 0.0 1.0 1.0 1.0 3.0 3.0 - - - 66.7 50.0 0 - 83.3 83.3
Victory Onuetu - 1 19.0 4.0 9.0 1.0 0.0 2.0 0.0 2.0 14.0 - - - 100.0 0 0.0 - 69.4 100.0
Silas Sunday - 1 10.1 4.0 5.0 0.0 0.0 0.0 2.0 1.0 6.0 - - - 100.0 0 100.0 - 106.4 100.0
Alex Tsynkevich - 1 10.9 4.0 6.0 0.0 0.0 0.0 0.0 2.0 8.0 - - - 100.0 0 0.0 - 69.4 100.0
Amir Williams - 1 10.9 4.0 3.0 0.0 3.0 0.0 0.0 4.0 6.0 24 1.1 8.0 50.0 0.0 0 1.35 50.0 50.0
Joshua DeCady - 1 16.1 3.0 3.0 0.0 0.0 0.0 2.0 2.0 2.0 - - - 50.0 0 50.0 - 52.1 50.0
German Plotnikov - 1 18.4 2.0 4.0 2.0 0.0 1.0 0.0 4.0 5.0 - - - 25.0 0.0 0 - 25.0 25.0

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