🐻⬇️🏀

Milwaukee

Season: 2026 2025 2024
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
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1178 (#67) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1054 (#173) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +36.5 (#55) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.991 (#150) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +37.0 More → 0.994 (#82) NetEff +37.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +52.9 More → 0.998 (#71) AdjNet +52.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +52.5 More → 0.998 (#74) AdjNet +52.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.7 | AdjD 44.9 More → 0.948 (#87) AdjO 76.7 | AdjD 44.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.3 | AdjD 53.2 More → 0.837 (#39) AdjO 71.3 | AdjD 53.2
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 → 0.946 (#30) 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 → 0.934 (#32) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 275 | GP 2 More → 1238 (#52) RD 275 | GP 2

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-14 vs Ripon W 72 - 43
2025-12-20 vs Wis. Lutheran W 76 - 52

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%
Grace Lomen - 2 21.4 15.5 6.5 1.5 1.0 0.0 1.0 12.5 11.0 - - - 40.0 27.3 100.0 - 54.3 46.0
Payton Rechlicz - 2 30.0 10.0 3.0 2.0 0.0 1.5 1.0 7.0 8.5 - - - 57.1 57.1 0 - 71.4 71.4
Jorey Buwalda - 1 24.6 10.0 17.0 3.0 0.0 3.0 4.0 10.0 19.0 - - - 40.0 33.3 50.0 - 46.0 45.0
Izzy Pugh - 1 7.2 10.0 1.0 2.0 0.0 3.0 0.0 3.0 13.0 - - - 100.0 0 100.0 - 105.0 100.0
Micayla Silas - 2 11.9 7.5 0.0 0.5 0.0 0.5 1.0 5.5 2.0 - - - 45.5 50.0 100.0 - 63.1 59.1
Tierney Madigan - 2 14.7 6.0 4.5 2.0 0.5 0.5 1.0 3.5 9.0 - - - 85.7 0 0 - 85.7 85.7
Valerie Cassidy-De Falco - 2 16.4 5.0 3.0 1.0 1.5 0.0 0.0 3.0 7.5 - - - 66.7 0 50.0 - 64.4 66.7
Kendall Barnes - 2 15.1 5.0 5.5 1.5 1.5 0.0 2.5 3.0 8.0 3 0.3 13.3 66.7 0 100.0 -0.66 72.7 66.7
Madison Fitzgibbon - 2 21.2 4.5 0.5 1.5 0.5 0.0 1.0 4.0 2.0 - - - 37.5 60.0 0 - 56.2 56.2
Rita Gomes - 2 12.7 3.5 1.0 0.0 0.5 0.0 1.0 4.5 -0.5 - - - 22.2 25.0 33.3 - 33.9 33.3
Sophia Rampulla - 2 11.9 3.0 1.5 1.5 1.5 0.5 0.5 3.5 4.0 - - - 28.6 0.0 100.0 - 38.1 28.6
Cece McNair - 2 10.9 2.0 5.0 1.0 0.5 1.0 1.0 2.5 6.0 - - - 40.0 0 0.0 - 31.6 40.0
Jada Williams - 2 17.9 2.0 2.5 1.0 0.5 0.0 0.0 3.5 2.5 4 1.0 32.3 0.0 0.0 50.0 2.53 19.0 0.0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

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