Green Bay Phoenix
2026 Team Stats (31 games)
68.4
PPG
60.7
Opp
+7.7
Margin
44.2%
FG%
32.9%
3P%
76.5%
FT%
35.5
RPG
17.1
APG
12.9
TO
77.0
Pace
67.2
AdjO
60.1
AdjD
#96
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 → | 1108 (#112) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1185 (#75) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1105 (#59) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.4 (#96) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +19.7 (#93) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.811 (#71) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.824 (#72) | NetEff +12.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.802 (#92) | AdjNet +12.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.806 (#93) | AdjNet +12.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.656 (#96) | AdjO 67.2 | AdjD 60.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.675 (#80) | AdjO 66.6 | AdjD 58.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.874 (#88) | 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 → | 0.853 (#84) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1166 (#88) | RD 116 | GP 31 |
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. Guyer
|
C | 27 | 30.4 | 15.4 | 6.4 | 1.7 | 1.1 | 0.7 | 1.6 | 12.1 | 11.8 | 79 | 4.2 | 5.5 | 46.9 | 41.2 | 80.3 | 2.6 | 58.4 | 55.2 |
M. Schultz
|
F | 31 | 20.5 | 12.2 | 3.9 | 0.6 | 0.8 | 0.6 | 1.6 | 9.1 | 7.5 | 117 | 4.9 | 7.8 | 55.3 | 0 | 69.1 | 2.08 | 58.4 | 55.3 |
M. Skorupski
|
G | 31 | 32.6 | 11.4 | 6.0 | 4.4 | 2.3 | 0.3 | 1.9 | 9.2 | 13.3 | 126 | 5.2 | 6.2 | 45.5 | 36.7 | 80.0 | 1.59 | 54.0 | 48.6 |
C. Duffney
|
F | 31 | 25.0 | 8.1 | 3.5 | 2.1 | 0.7 | 0.1 | 1.4 | 6.8 | 6.3 | 79 | 3.3 | 5.0 | 45.0 | 28.9 | 80.6 | -1.11 | 52.7 | 47.6 |
G. Grzesk
|
F | 31 | 20.5 | 6.4 | 1.7 | 1.1 | 0.4 | 0.3 | 1.0 | 6.4 | 2.5 | 118 | 4.9 | 9.5 | 36.9 | 25.0 | 76.2 | 2.36 | 46.0 | 42.2 |
Kamy Peppler
|
G | 31 | 30.8 | 6.3 | 3.9 | 4.5 | 1.1 | 0.0 | 2.5 | 6.5 | 6.9 | 130 | 5.4 | 6.9 | 36.3 | 23.3 | 78.8 | 1.06 | 45.5 | 42.3 |
K. Ouimette
|
G | 31 | 16.6 | 5.7 | 1.6 | 0.4 | 0.1 | 0.3 | 0.7 | 5.1 | 2.3 | 88 | 3.7 | 9.3 | 39.6 | 37.4 | 72.2 | -1.19 | 52.7 | 51.3 |
E. Buzzelle
|
G | 29 | 18.3 | 2.7 | 3.1 | 1.9 | 0.7 | 0.2 | 0.8 | 1.8 | 5.9 | 125 | 5.7 | 12.1 | 38.5 | 40.0 | 80.0 | 1.27 | 59.8 | 51.9 |
Kal. Peppler
|
G | 11 | 7.2 | 1.5 | 0.5 | 0.3 | 0.2 | 0.0 | 0.3 | 0.9 | 1.4 | 130 | 5.4 | 6.9 | 60.0 | 50.0 | 66.7 | 1.06 | 75.1 | 75.0 |
M. Westin
|
G | 13 | 9.4 | 1.4 | 1.2 | 0.6 | 0.3 | 0.0 | 1.3 | 1.8 | 0.4 | -17 | -4.2 | -12.9 | 29.2 | 12.5 | 75.0 | -4.01 | 34.9 | 31.2 |
M. Hoffmann
|
G | 4 | 1.8 | 1.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.2 | -1 | -0.2 | -5.6 | 50.0 | 0 | 0 | -0.36 | 50.0 | 50.0 |
J. Ouimette
|
G | 16 | 3.0 | 0.9 | 0.8 | 0.1 | 0.2 | 0.0 | 0.3 | 0.8 | 0.9 | 30 | 2.5 | 47.0 | 41.7 | 33.3 | 75.0 | -1.11 | 50.9 | 45.8 |
L. Hansford
|
G | 20 | 4.7 | 0.8 | 0.5 | 0.2 | 0.1 | 0.1 | 0.3 | 0.9 | 0.5 | 32 | 2.1 | 14.1 | 26.3 | 25.0 | 40.0 | -1.48 | 37.7 | 36.8 |
S. Lahti
|
F | 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