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Green Bay

Season: 2026 2024 2022 2020 2018 2017 2016
Also known as: Green Bay
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 → 1028 (#265) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1028 (#328) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 994 (#500) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +2.1 (#318) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.983 (#192) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +20.3 More → 0.912 (#172) AdjNet +20.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +19.9 More → 0.912 (#174) AdjNet +19.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.7 | AdjD 66.1 More → 0.775 (#189) AdjO 79.7 | AdjD 66.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.8 | AdjD 74.1 More → 0.540 (#317) AdjO 75.8 | AdjD 74.1
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 → 0.577 (#334) 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 → 0.569 (#340) 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 → 1062 (#265) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-10 vs Ripon W 83 - 63

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%
Marcus Hall - 1 30.1 21.0 10.0 4.0 2.0 0.0 2.0 11.0 24.0 - - - 45.5 0.0 78.6 - 61.2 45.5
Mac Wrecke - 1 20.7 13.0 4.0 1.0 1.0 1.0 0.0 6.0 14.0 - - - 66.7 33.3 80.0 - 79.3 75.0
C.J. O'Hara - 1 24.2 11.0 3.0 0.0 2.0 0.0 2.0 6.0 8.0 - - - 66.7 0 60.0 - 67.1 66.7
Maruan Cicic - 1 19.1 10.0 3.0 1.0 0.0 1.0 0.0 4.0 11.0 - - - 100.0 0 66.7 - 94.0 100.0
Caden Wilkins - 1 24.0 7.0 2.0 2.0 0.0 1.0 0.0 6.0 6.0 - - - 50.0 25.0 0.0 - 50.9 58.3
Josh Hines - 1 15.9 5.0 0.0 2.0 0.0 0.0 0.0 3.0 4.0 - - - 66.7 100.0 0.0 - 72.7 83.3
Preston Ruedinger - 1 25.3 5.0 5.0 7.0 1.0 0.0 0.0 5.0 13.0 - - - 40.0 33.3 0 - 50.0 50.0
Justin Allen - 1 5.3 3.0 0.0 0.0 0.0 0.0 0.0 2.0 1.0 -58 -4.8 -44.6 50.0 50.0 0 0.03 75.0 75.0
Ramel Bethea - 1 10.0 2.0 4.0 1.0 0.0 3.0 2.0 1.0 7.0 - - - 100.0 0 0 - 100.0 100.0
Dontrell Hewlett - 1 14.2 2.0 2.0 2.0 0.0 0.0 1.0 5.0 0.0 - - - 20.0 0.0 0.0 - 17.0 20.0
Brady Fitzgerald - 1 1.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
LeBron Thomas - 1 1.7 0.0 0.0 1.0 0.0 0.0 2.0 0.0 -1.0 - - - 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