Green Bay Phoenix
2022 Team Stats (2 games)
49.5
PPG
55.5
Opp
-6.0
Margin
34.8%
FG%
22.0%
3P%
66.7%
FT%
30.5
RPG
14.5
APG
12.5
TO
72.6
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 → | 1189 (#66) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1182 (#89) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +26.7 (#97) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.652 (#128) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-03-03 | vs | Milwaukee Panthers | W | 57 - 42 |
| 2022-03-07 | vs | Cleveland State Vikings | L | 42 - 69 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Hartwig
|
F | 1 | 22.0 | 11.0 | 3.0 | 3.0 | 1.0 | 0.0 | 0.0 | 7.0 | 11.0 | - | - | - | 71.4 | 0 | 100.0 | 0.64 | 73.9 | 71.4 |
C. Schiltz
|
G | 2 | 27.5 | 10.5 | 6.0 | 0.5 | 0.5 | 0.5 | 1.0 | 10.0 | 7.0 | 50 | 3.1 | 43.1 | 45.0 | 33.3 | 0 | 0.29 | 52.5 | 52.5 |
S. Levy
|
G | 2 | 25.0 | 7.0 | 4.0 | 2.5 | 1.0 | 0.0 | 2.0 | 9.5 | 3.0 | - | - | - | 26.3 | 28.6 | 0 | 0.61 | 36.8 | 36.8 |
M. Schreiber
|
G | 2 | 24.5 | 6.5 | 3.5 | 1.0 | 0.5 | 1.5 | 0.0 | 6.0 | 7.0 | -22 | -1.2 | -6.9 | 41.7 | 37.5 | 0 | 0.27 | 54.2 | 54.2 |
H. Oskey
|
G | 2 | 30.0 | 5.5 | 2.0 | 2.5 | 0.5 | 0.5 | 0.0 | 9.0 | 2.0 | - | - | - | 16.7 | 0.0 | 83.3 | 0.86 | 26.6 | 16.7 |
B. Butler
|
G | 2 | 21.0 | 4.5 | 2.0 | 1.0 | 0.5 | 0.5 | 1.5 | 4.5 | 2.5 | 55 | 2.2 | 9.0 | 33.3 | 16.7 | 66.7 | 1.56 | 43.6 | 38.9 |
C. Genke
|
G | 2 | 18.0 | 3.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.5 | 3.0 | 3.5 | 75 | 3.8 | 21.5 | 50.0 | 0.0 | 0 | 1.45 | 50.0 | 50.0 |
J. Kondrakiewicz
|
F | 2 | 11.5 | 3.0 | 1.0 | 1.5 | 0.5 | 0.0 | 2.0 | 4.0 | 0.0 | -20 | -1.1 | -8.7 | 37.5 | 0 | 0 | 0.32 | 37.5 | 37.5 |
M. Pingel
|
G | 2 | 21.5 | 2.0 | 2.5 | 2.5 | 0.5 | 0.5 | 3.5 | 4.5 | 0.0 | - | - | - | 22.2 | 0.0 | 0.0 | 0.45 | 21.2 | 22.2 |
C. Givens
|
G | 1 | 3.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 2.0 | -117 | -6.5 | -38.9 | 100.0 | 0 | 0.0 | -1.51 | 69.4 | 100.0 |
K. Renard
|
F | 1 | 17.0 | 2.0 | 3.0 | 1.0 | 0.0 | 1.0 | 1.0 | 6.0 | 0.0 | -20 | -20.0 | -74.3 | 16.7 | 0.0 | 0 | -0.52 | 16.7 | 16.7 |
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