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Binghamton

Also known as: Binghamton
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.

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

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-12 vs Keystone W 104 - 50
2023-12-30 vs Marywood W 108 - 52

2024 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%
Evan Ashe - 2 26.5 15.5 5.0 1.5 0.5 0.0 0.5 10.0 12.0 - - - 60.0 44.4 75.0 - 71.2 70.0
Gavin Walsh - 2 24.5 14.0 10.5 1.0 1.0 1.0 1.0 9.5 17.0 - - - 63.2 40.0 66.7 - 68.9 68.4
Tymu Chenery - 2 15.5 12.5 2.5 0.5 0.5 1.0 1.5 7.0 8.5 - - - 78.6 50.0 50.0 - 84.0 85.7
Chris Walker - 2 20.5 11.5 10.0 1.5 1.5 0.5 1.5 9.0 14.5 - - - 38.9 40.0 62.5 - 53.4 50.0
Nehemiah Benson - 2 8.5 10.0 3.5 0.5 0.5 0.5 0.0 5.0 10.0 - - - 90.0 0 50.0 - 85.0 90.0
Armon Harried - 2 16.5 8.5 3.0 3.5 1.0 1.0 0.5 4.5 12.0 - - - 66.7 50.0 80.0 - 75.9 72.2
Max Sims - 2 16.5 6.5 3.5 1.0 0.0 0.0 0.5 5.0 5.5 - - - 40.0 33.3 42.9 - 49.7 50.0
Masud Stewart - 2 12.5 6.5 2.0 1.5 1.0 0.0 0.0 5.5 5.5 - - - 54.5 0.0 50.0 - 54.7 54.5
Symir Torrence - 2 17.0 6.0 6.0 9.5 0.5 0.0 1.0 3.0 18.0 - - - 83.3 0.0 50.0 - 77.3 83.3
Taveion White - 2 9.5 5.5 4.0 0.0 0.5 0.5 0.0 2.5 8.0 - - - 80.0 0 50.0 - 72.0 80.0
Dan Petcash - 2 14.0 5.0 2.0 0.5 1.5 0.5 0.0 4.0 5.5 - - - 50.0 40.0 0 - 62.5 62.5
Tariq Balogun - 2 8.0 2.5 1.0 0.0 1.0 0.5 0.5 2.0 2.5 - - - 50.0 0.0 100.0 - 56.3 50.0
Robby Phillips - 2 7.0 2.0 2.0 0.5 0.0 0.0 1.0 1.5 2.0 - - - 66.7 0 0 - 66.7 66.7
Stephan Snagg - 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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