🐻⬇️🏀

Binghamton

Also known as: Binghamton
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 → 1094 (#118) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1112 (#121) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 987 (#533) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +9.2 (#238) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.986 (#185) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +23.0 More → 0.934 (#156) AdjNet +23.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.6 More → 0.936 (#156) AdjNet +22.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.7 | AdjD 60.9 More → 0.808 (#170) AdjO 76.7 | AdjD 60.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 79.0 | AdjD 69.8 More → 0.698 (#107) AdjO 79.0 | AdjD 69.8
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 → 0.665 (#242) 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 → 0.677 (#224) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 296 | GP 2 More → 1183 (#74) RD 296 | GP 2

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-05 vs RIT W 66 - 56
2025-11-19 vs Misericordia W 69 - 58
2025-12-29 vs Elmira W 100 - 60

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%
Zyier Beverly - 3 27.3 17.7 9.7 0.7 1.7 2.0 1.7 8.0 22.0 - - - 79.2 0.0 68.2 - 78.7 79.2
Demetrius Lilley - 1 35.8 16.0 11.0 3.0 0.0 1.0 3.0 12.0 16.0 - - - 50.0 0.0 66.7 - 54.6 50.0
Wes Peterson - 2 33.0 15.0 6.0 0.5 2.5 0.0 0.5 10.5 13.0 - - - 47.6 62.5 83.3 - 63.5 59.5
Jeremiah Quigley - 2 32.5 13.0 5.0 7.5 1.5 0.0 2.0 9.0 16.0 - - - 55.6 0.0 85.7 - 61.7 55.6
Bryson Wilson - 2 25.9 13.0 5.0 0.5 1.0 2.0 2.0 9.5 10.0 - - - 47.4 28.6 75.0 - 57.7 52.6
Stephan Snagg - 2 25.9 13.0 5.0 0.5 1.0 2.0 2.0 9.5 10.0 - - - 47.4 28.6 75.0 - 57.7 52.6
Jake Blackburn - 1 23.3 12.0 5.0 3.0 0.0 0.0 1.0 6.0 13.0 - - - 66.7 50.0 100.0 - 87.2 83.3
Ryan Richardson - 3 35.6 8.7 2.3 4.3 1.0 0.3 2.0 7.3 7.3 - - - 36.4 42.1 50.0 - 54.7 54.5
Jackson Benigni - 3 27.9 6.0 3.0 1.7 0.7 0.0 1.7 5.7 4.0 - - - 41.2 27.3 100.0 - 51.6 50.0
Nevin Ibroci - 2 2.8 1.5 0.5 0.0 0.0 0.0 0.0 1.5 0.5 - - - 33.3 33.3 0.0 - 38.7 50.0
Jayden Kelsey - 1 13.9 1.0 2.0 3.0 0.0 0.0 0.0 2.0 4.0 - - - 0.0 0.0 50.0 - 17.4 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