Milwaukee Panthers
2022 Team Stats (5 games)
52.8
PPG
60.8
Opp
-8.0
Margin
35.1%
FG%
26.0%
3P%
79.0%
FT%
32.4
RPG
12.4
APG
16.0
TO
75.1
Pace
Model Outputs
2021-2022
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 → | 925 (#309) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 868 (#360) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +4.4 (#321) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.271 (#256) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-14 | @ | Florida State Seminoles | L | 42 - 79 |
| 2021-11-24 | vs | Wisconsin Badgers | W | 79 - 67 |
| 2021-12-14 | @ | Northwestern Wildcats | L | 46 - 55 |
| 2022-03-01 | vs | UIC Flames | W | 55 - 46 |
| 2022-03-03 | @ | Green Bay Phoenix | L | 42 - 57 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Walstad
|
F | 5 | 33.0 | 14.0 | 8.8 | 2.0 | 0.4 | 1.0 | 2.0 | 10.0 | 14.2 | - | - | - | 48.0 | 23.1 | 90.5 | 0.67 | 59.1 | 51.0 |
M. Santoro
|
G | 5 | 27.4 | 8.8 | 1.8 | 2.2 | 0.8 | 0.6 | 2.0 | 7.6 | 4.6 | - | - | - | 42.1 | 30.8 | 66.7 | 0.7 | 50.8 | 47.4 |
S. Staver
|
G | 5 | 26.8 | 8.4 | 1.6 | 0.8 | 1.8 | 0.0 | 2.4 | 9.8 | 0.4 | - | - | - | 30.6 | 29.2 | 62.5 | 0.02 | 40.0 | 37.8 |
M. Schmelzer
|
G | 5 | 33.0 | 6.4 | 3.6 | 3.8 | 1.2 | 0.0 | 2.8 | 7.2 | 5.0 | - | - | - | 27.8 | 33.3 | 66.7 | 0.63 | 41.4 | 38.9 |
E. Wittmershaus
|
F | 5 | 25.0 | 6.2 | 5.2 | 1.2 | 0.6 | 1.0 | 2.2 | 5.4 | 6.6 | - | - | - | 40.7 | 33.3 | 100.0 | 0.7 | 51.5 | 44.4 |
K. Eubanks
|
G | 1 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
K. Nead
|
G | 4 | 17.2 | 3.0 | 1.2 | 0.5 | 0.5 | 0.2 | 1.8 | 6.8 | -3.0 | 67 | 3.7 | 15.9 | 18.5 | 0.0 | 100.0 | 1.25 | 21.5 | 18.5 |
M. McGlone
|
F | 5 | 8.2 | 2.0 | 2.4 | 0.0 | 0.0 | 0.2 | 0.8 | 2.0 | 1.8 | - | - | - | 40.0 | 0 | 100.0 | 0.52 | 46.0 | 40.0 |
J. Donaldson
|
G | 5 | 9.6 | 1.4 | 1.2 | 0.0 | 0.2 | 0.0 | 0.2 | 1.8 | 0.8 | -6 | -0.3 | -1.4 | 33.3 | 100.0 | 0 | 0.77 | 38.9 | 38.9 |
AL. Moore
|
G | 3 | 6.0 | 1.3 | 0.3 | 1.0 | 0.3 | 0.0 | 1.3 | 0.7 | 1.0 | 113 | 2.5 | 12.1 | 100.0 | 0 | 0 | 1.09 | 100.0 | 100.0 |
L. Halevi
|
F | 4 | 5.2 | 1.2 | 0.8 | 0.2 | 0.2 | 0.0 | 0.5 | 1.5 | 0.5 | 35 | 2.1 | 9.9 | 33.3 | 25.0 | 0 | 1.06 | 41.7 | 41.7 |
G. Crowley
|
F | 3 | 12.3 | 0.7 | 2.7 | 1.0 | 0.3 | 0.7 | 0.3 | 1.0 | 4.0 | -25 | -3.1 | -15.7 | 33.3 | 0 | 0 | 0.28 | 33.3 | 33.3 |
A. Cera
|
G | 3 | 12.7 | 0.7 | 0.3 | 1.0 | 0.0 | 0.0 | 0.7 | 2.7 | -1.3 | -5 | -0.3 | -1.2 | 0.0 | 0.0 | 50.0 | 0.72 | 10.2 | 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