🐻⬇️🏀

Milwaukee

Also known as: Milwaukee Panthers
Program History

2026 Team Stats (31 games)

76.3
PPG
79.9
Opp
-3.6
Margin
44.6%
FG%
32.4%
3P%
68.9%
FT%
36.0
RPG
13.2
APG
10.5
TO
81.1
Pace
72.1
AdjO
78.8
AdjD
#263
Rank

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 → 828 (#314) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 901 (#255) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 998 (#225) HCA +109 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 929 (#626) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → -6.2 (#257) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +8.5 (#253) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -10.5 (#486) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.314 (#277) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -17.1 More → 0.156 (#293) NetEff -17.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.3 More → 0.278 (#256) AdjNet -8.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.3 More → 0.277 (#256) AdjNet -8.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.1 | AdjD 78.8 More → 0.353 (#263) AdjO 72.1 | AdjD 78.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.1 | AdjD 74.1 More → 0.479 (#343) AdjO 73.1 | AdjD 74.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.1 | AdjD 73.2 More → 0.475 (#364) AdjO 72.1 | AdjD 73.2
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 → 0.610 (#283) Blend of Elo, BT, Margin, PythLog, PtsOD
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 → 0.204 (#567) 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 → 0.570 (#282) 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 → 0.247 (#568) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 157 | GP 31 More → 923 (#396) RD 157 | GP 31
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 921 (#406) RD 350 | GP 1

2026 Schedule & Results

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%
S. Hubbard S. Hubbard - 8 30.9 16.0 3.1 2.1 1.1 0.4 1.1 13.8 7.9 43 2.0 6.7 45.5 35.3 69.6 0.81 53.3 50.9
A. Augillard A. Augillard G 30 21.2 12.9 2.7 1.1 0.9 0.2 1.9 10.9 5.0 -60 -2.5 -5.6 39.3 32.6 83.3 -0.82 52.9 47.9
D. Jovanovich D. Jovanovich - 16 30.2 12.8 6.0 2.2 0.9 0.4 1.0 9.1 12.2 -20 -1.2 -2.0 60.7 53.8 71.0 0.0 64.6 63.1
Stevie Elam Stevie Elam - 24 26.0 10.6 4.8 0.8 1.0 0.3 0.5 8.8 8.2 -44 -2.6 -4.9 38.4 36.0 81.1 -0.2 54.4 50.2
Chandler Jackson Chandler Jackson - 24 23.0 9.7 2.8 0.9 1.0 0.3 1.1 6.6 7.0 10 0.7 1.4 50.3 32.9 79.4 -0.03 62.4 57.5
Josh Dixon Josh Dixon - 31 18.9 9.3 1.1 1.5 0.5 0.1 1.3 8.4 2.8 -5 -0.2 -0.5 39.5 32.2 86.7 -0.27 49.9 45.0
F. Fields F. Fields F 20 21.3 6.8 5.7 0.4 0.9 0.5 0.9 3.9 9.4 -23 -1.4 -7.0 61.0 50.0 59.4 -0.26 63.3 61.7
A. Franklin A. Franklin G 31 25.4 6.6 6.4 1.2 0.9 0.2 0.7 4.8 9.7 10 0.4 0.9 55.7 34.5 43.1 0.38 57.4 59.1
S. Konneh S. Konneh - 30 13.7 6.6 4.9 0.3 0.6 0.9 0.7 5.1 7.3 -16 -0.7 -2.7 55.8 11.1 57.1 -0.37 57.1 56.2
Isaiah Dorceus Isaiah Dorceus - 30 21.9 5.4 1.4 3.7 0.6 0.1 1.7 5.3 4.1 -9 -0.4 -0.8 36.9 32.4 67.7 -0.39 46.4 43.8
E. Pippa-White E. Pippa-White G 31 18.7 4.4 1.9 2.3 0.4 0.0 1.0 4.5 3.4 -51 -2.1 -6.3 27.7 24.4 56.2 -0.77 39.9 35.1
S. Murchison S. Murchison - 17 5.1 1.2 0.9 0.1 0.1 0.2 0.2 0.8 1.4 -2 -0.1 -1.3 50.0 0 85.7 -0.12 58.5 50.0
Tate Mackenzie Tate Mackenzie - 18 6.7 0.9 1.1 0.1 0.0 0.6 0.3 0.6 1.7 -58 -3.6 -20.8 45.5 0 50.0 -0.68 49.1 45.5
A. Villarreal A. Villarreal G 4 1.8 0.5 1.0 0.0 0.2 0.0 0.0 1.0 0.8 12 3.0 97.0 25.0 0.0 0 0.05 25.0 25.0
J. Lovelace Jr. J. Lovelace Jr. G 0 - 0.0 0.0 0.0 - - - - - 278 11.6 17.6 - - - 2.33 - -
Ned Renfree Ned Renfree G 0 - 0.0 0.0 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