Milwaukee Panthers
2026 Team Stats (27 games)
61.2
PPG
68.1
Opp
-6.9
Margin
40.0%
FG%
32.9%
3P%
68.7%
FT%
35.6
RPG
12.5
APG
15.5
TO
77.0
Pace
58.0
AdjO
71.6
AdjD
#308
Rank
Model Outputs
2025-2026
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 → | 722 (#332) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 715 (#334) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 844 (#575) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -13.9 (#306) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -2.5 (#334) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.141 (#306) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.141 (#291) | NetEff -14.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.083 (#310) | AdjNet -20.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.081 (#307) | AdjNet -20.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.226 (#308) | AdjO 58.0 | AdjD 71.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.306 (#556) | AdjO 59.1 | AdjD 68.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.355 (#360) | 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. More → | 0.325 (#381) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 775 (#558) | RD 162 | GP 27 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Buwalda
|
F | 26 | 28.3 | 11.8 | 8.6 | 1.8 | 0.7 | 0.8 | 2.3 | 10.3 | 11.1 | -63 | -2.6 | -3.3 | 39.3 | 25.0 | 78.6 | -3.43 | 49.0 | 42.1 |
G. Lomen
|
G | 26 | 23.0 | 11.5 | 3.9 | 1.1 | 1.1 | 0.0 | 1.7 | 10.4 | 5.4 | 67 | 2.8 | 5.5 | 37.8 | 35.5 | 85.0 | 4.38 | 50.4 | 45.9 |
P. Rechlicz
|
G | 27 | 29.1 | 5.7 | 3.0 | 1.4 | 0.4 | 0.3 | 1.0 | 5.2 | 4.5 | 24 | 1.0 | 1.5 | 39.3 | 36.9 | 60.0 | 2.14 | 51.4 | 50.4 |
T. Madigan
|
G | 24 | 13.4 | 5.1 | 2.9 | 0.9 | 0.4 | 0.1 | 1.0 | 3.9 | 4.5 | -8 | -0.3 | -0.9 | 55.9 | 42.9 | 60.0 | 0.2 | 58.7 | 57.5 |
M. Fitzgibbon
|
G | 27 | 22.7 | 5.0 | 1.7 | 2.0 | 0.3 | 0.0 | 1.4 | 4.6 | 3.0 | -82 | -3.3 | -5.3 | 33.6 | 38.5 | 70.0 | -3.7 | 50.4 | 48.4 |
K. Barnes
|
G | 27 | 13.3 | 4.5 | 2.4 | 1.0 | 0.5 | 0.0 | 1.7 | 3.1 | 3.7 | -110 | -4.4 | -13.8 | 57.6 | 25.0 | 74.2 | -5.17 | 61.8 | 58.2 |
I. Pugh
|
F | 17 | 9.8 | 4.3 | 1.8 | 0.2 | 0.3 | 0.6 | 0.7 | 3.4 | 3.1 | 26 | 1.6 | 5.4 | 34.5 | 33.3 | 68.9 | 2.45 | 46.9 | 36.2 |
J. Williams
|
G | 27 | 21.8 | 3.5 | 2.5 | 1.3 | 0.7 | 0.3 | 0.7 | 3.8 | 3.8 | -14 | -0.6 | -1.0 | 31.4 | 30.4 | 59.3 | -0.89 | 41.3 | 38.2 |
S. Rampulla
|
G | 27 | 12.9 | 3.3 | 1.6 | 1.1 | 0.7 | 0.5 | 0.9 | 3.3 | 2.9 | -19 | -0.8 | -2.0 | 34.4 | 27.0 | 72.0 | -1.49 | 44.6 | 40.0 |
M. Silas
|
G | 20 | 10.0 | 3.0 | 0.9 | 0.9 | 0.1 | 0.1 | 0.9 | 3.1 | 0.9 | 7 | 0.4 | 1.2 | 33.3 | 25.9 | 78.6 | -1.26 | 43.4 | 38.9 |
C. McNair
|
C | 24 | 8.9 | 2.9 | 2.5 | 0.4 | 0.4 | 0.7 | 0.7 | 2.4 | 3.7 | -21 | -1.0 | -6.6 | 56.9 | 0 | 14.3 | -0.12 | 49.8 | 56.9 |
R. Gomes
|
G | 27 | 7.7 | 2.8 | 0.9 | 0.1 | 0.3 | 0.1 | 0.5 | 2.6 | 1.0 | -34 | -1.4 | -6.7 | 37.1 | 32.8 | 71.4 | -1.83 | 52.0 | 50.7 |
V. Cassidy-De Falco
|
G | 27 | 12.4 | 2.0 | 1.4 | 0.9 | 0.5 | 0.0 | 1.7 | 1.9 | 1.2 | 52 | 2.1 | 6.1 | 40.0 | 0.0 | 56.5 | 3.72 | 44.1 | 40.0 |
Lizzy Favret
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Olivia Olson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 3 | 0.2 | 0.2 | - | - | - | 0.58 | - | - |
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