Green Bay
Also known as: Green Bay
Program History
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.999 (#67) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 1.000 (#4) | AdjNet +66.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 1.000 (#8) | AdjNet +66.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.981 (#6) | AdjO 84.3 | AdjD 40.8 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-19 | vs | Wis.-Parkside | W | 94 - 55 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cassie Schiltz | - | 1 | 23.0 | 16.0 | 4.0 | 8.0 | 1.0 | 0.0 | 0.0 | 9.0 | 20.0 | - | - | - | 66.7 | 80.0 | 0 | - | 88.9 | 88.9 |
| Maddy Schreiber | - | 1 | 22.0 | 14.0 | 3.0 | 7.0 | 1.0 | 0.0 | 0.0 | 8.0 | 17.0 | - | - | - | 62.5 | 66.7 | 100.0 | - | 78.8 | 75.0 |
| Callie Genke | - | 1 | 15.0 | 12.0 | 3.0 | 1.0 | 0.0 | 0.0 | 3.0 | 6.0 | 7.0 | - | - | - | 83.3 | 66.7 | 0 | - | 100.0 | 100.0 |
| Jenna Guyer | - | 1 | 21.0 | 10.0 | 4.0 | 4.0 | 0.0 | 0.0 | 3.0 | 5.0 | 10.0 | - | - | - | 80.0 | 0.0 | 66.7 | - | 79.1 | 80.0 |
| Jasmine Kondrakiewicz | - | 1 | 14.0 | 10.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 5.0 | 5.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Maren Westin | - | 1 | 18.0 | 8.0 | 3.0 | 0.0 | 0.0 | 0.0 | 3.0 | 5.0 | 3.0 | - | - | - | 40.0 | 0.0 | 100.0 | - | 59.2 | 40.0 |
| Natalie Andersen | - | 1 | 21.0 | 8.0 | 3.0 | 2.0 | 0.0 | 1.0 | 2.0 | 6.0 | 6.0 | - | - | - | 66.7 | 0.0 | 0 | - | 66.7 | 66.7 |
| Natalie McNeal | - | 1 | 19.0 | 6.0 | 9.0 | 2.0 | 1.0 | 0.0 | 2.0 | 4.0 | 12.0 | - | - | - | 75.0 | 0 | 0 | - | 75.0 | 75.0 |
| Bailey Butler | - | 1 | 23.0 | 5.0 | 0.0 | 4.0 | 1.0 | 1.0 | 1.0 | 4.0 | 6.0 | 56 | 6.2 | 8.4 | 50.0 | 50.0 | 0 | 0.47 | 62.5 | 62.5 |
| Kendall Renard | - | 1 | 8.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | - | - | - | 33.3 | 0.0 | 100.0 | - | 43.6 | 33.3 |
| Caelan Givens | - | 1 | 16.0 | 2.0 | 2.0 | 2.0 | 1.0 | 0.0 | 1.0 | 1.0 | 5.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Sophie Lahti | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Meghan Schultz | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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