🐻⬇️🏀

Milwaukee

Season: 2026 2025 2024 2023 2020 2018 2017
Also known as: Milwaukee
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 → 1011 (#361) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1018 (#360) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1000 (#463) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +20.9 (#116) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.996 (#138) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +32.3 More → 0.977 (#93) AdjNet +32.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +31.9 More → 0.978 (#95) AdjNet +31.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 97.2 | AdjD 68.7 More → 0.930 (#54) AdjO 97.2 | AdjD 68.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 88.7 | AdjD 75.9 More → 0.761 (#52) AdjO 88.7 | AdjD 75.9
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 → 0.784 (#118) 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 → 0.749 (#141) 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 → 1029 (#318) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-25 vs Dominican (IL) W 125 - 70

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%
Amar Augillard - 1 18.4 20.0 8.0 0.0 3.0 0.0 0.0 16.0 15.0 - - - 50.0 40.0 66.7 - 57.7 56.2
Seth Hubbard - 1 25.2 17.0 7.0 2.0 3.0 0.0 1.0 11.0 17.0 - - - 54.5 0.0 100.0 - 64.4 54.5
Sekou Konneh - 1 18.7 17.0 9.0 1.0 1.0 0.0 1.0 9.0 18.0 - - - 88.9 0 25.0 - 79.0 88.9
Danilo Jovanovich - 1 22.6 14.0 6.0 3.0 1.0 0.0 0.0 7.0 17.0 - - - 100.0 0 0 - 100.0 100.0
Isaiah Dorceus - 1 27.8 12.0 2.0 8.0 1.0 1.0 4.0 7.0 13.0 - - - 57.1 50.0 100.0 - 76.1 71.4
Faizon Fields - 1 15.1 12.0 6.0 0.0 1.0 1.0 0.0 7.0 13.0 - - - 85.7 0 0.0 - 80.6 85.7
Josh Dixon - 1 16.1 11.0 3.0 3.0 0.0 0.0 1.0 8.0 8.0 - - - 37.5 100.0 100.0 - 56.4 43.8
Simeon Murchison - 1 10.9 10.0 3.0 0.0 0.0 0.0 0.0 5.0 8.0 - - - 60.0 0 100.0 - 74.0 60.0
Aaron Franklin - 1 18.4 6.0 4.0 3.0 2.0 0.0 0.0 4.0 11.0 - - - 75.0 0.0 0 - 75.0 75.0
Esyah Pippa-White - 1 23.6 6.0 4.0 6.0 1.0 0.0 0.0 6.0 11.0 - - - 16.7 16.7 60.0 - 36.6 25.0
Austin Villarreal - 1 3.3 0.0 0.0 0.0 1.0 0.0 0.0 1.0 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