Green Bay Phoenix
2025 Team Stats (2 games)
71.5
PPG
78.7
Opp
-16.0
Margin
44.4%
FG%
33.3%
3P%
92.3%
FT%
31.5
RPG
17.0
APG
12.0
TO
76.2
Pace
66.4
AdjO
57.1
AdjD
#86
Rank
Model Outputs
2024-2025
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 → | 1227 (#53) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1261 (#49) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.3 (#87) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.875 (#44) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.875 (#43) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.856 (#83) | AdjNet +15.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.859 (#83) | AdjNet +15.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.699 (#86) | AdjO 66.4 | AdjD 57.1 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-04 | @ | Kansas State Wildcats | L | 45 - 92 |
| 2025-03-11 | vs | Purdue Fort Wayne Mastodons | W | 76 - 63 |
| 2025-03-22 | @ | Alabama Crimson Tide | L | 67 - 81 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. McNeal
|
G | 3 | 30.7 | 17.3 | 6.3 | 1.0 | 1.3 | 0.3 | 1.3 | 16.0 | 9.0 | -43 | -1.3 | -1.6 | 45.8 | 0.0 | 100.0 | 0.17 | 50.5 | 45.8 |
M. Schreiber
|
G | 3 | 23.3 | 10.0 | 3.7 | 1.0 | 0.3 | 0.0 | 1.0 | 8.0 | 6.0 | -10 | -0.4 | -0.5 | 45.8 | 37.5 | 62.5 | 0.55 | 54.5 | 52.1 |
C. Genke
|
G | 3 | 25.0 | 9.3 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 7.3 | 4.0 | -17 | -0.5 | -0.7 | 45.5 | 50.0 | 100.0 | 0.21 | 61.2 | 59.1 |
C. Schiltz
|
G | 3 | 31.0 | 6.7 | 5.3 | 2.0 | 0.3 | 0.0 | 1.3 | 8.3 | 4.7 | -26 | -0.7 | -1.1 | 32.0 | 23.1 | 100.0 | 0.4 | 39.3 | 38.0 |
J. Guyer
|
C | 3 | 12.7 | 6.7 | 2.0 | 1.7 | 0.0 | 0.0 | 0.7 | 5.3 | 4.3 | 2 | 0.1 | 0.1 | 43.8 | 44.4 | 100.0 | 0.61 | 59.2 | 56.2 |
B. Butler
|
G | 3 | 32.3 | 6.3 | 2.7 | 5.0 | 1.0 | 0.0 | 2.0 | 5.3 | 7.7 | 0 | 0.0 | 0.0 | 43.8 | 30.0 | 100.0 | 0.33 | 56.3 | 53.1 |
J. Kondrakiewicz
|
F | 3 | 17.7 | 5.7 | 3.3 | 1.3 | 1.0 | 0.7 | 0.7 | 4.0 | 7.3 | -46 | -1.3 | -2.2 | 41.7 | 0.0 | 70.0 | 0.16 | 51.8 | 41.7 |
M. Meyer
|
G | 3 | 15.0 | 0.7 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 2.3 | 0.3 | -6 | -0.2 | -0.3 | 14.3 | 0.0 | 0 | 0.69 | 14.3 | 14.3 |
E. Buzzelle
|
G | 2 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | -2.0 | -21 | -1.0 | -6.6 | 0.0 | 0.0 | 0 | -0.5 | 0.0 | 0.0 |
M. Westin
|
G | 1 | 16.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | -4.0 | 0 | 0.0 | 0.0 | 0.0 | 0 | 0 | -0.35 | 0.0 | 0.0 |
S. Lahti
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -6 | -0.3 | -5.6 | 0 | 0 | 0 | -1.03 | 0 | 0 |
M. Schultz
|
F | 2 | 8.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.5 | 0.5 | 2.5 | -1.5 | -4 | -0.2 | -1.6 | 0.0 | 0 | 0 | -0.57 | 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