Mo.-St. Louis
Also known as: Mo.-St. Louis
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 → | 1.000 (#56) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.996 (#90) | AdjNet +46.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.997 (#89) | AdjNet +45.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.932 (#101) | AdjO 77.4 | AdjD 48.7 |
2024 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jalysa Stokes | - | 1 | 21.0 | 19.0 | 2.0 | 3.0 | 3.0 | 0.0 | 0.0 | 15.0 | 12.0 | - | - | - | 53.3 | 37.5 | 0 | - | 63.3 | 63.3 |
| Mara Rieder | - | 1 | 13.0 | 12.0 | 4.0 | 0.0 | 2.0 | 1.0 | 1.0 | 5.0 | 13.0 | - | - | - | 80.0 | 0 | 100.0 | - | 88.8 | 80.0 |
| Amaya Blake | - | 1 | 21.0 | 10.0 | 2.0 | 2.0 | 3.0 | 0.0 | 3.0 | 9.0 | 5.0 | - | - | - | 44.4 | 0 | 50.0 | - | 46.5 | 44.4 |
| Emerson Weller | - | 1 | 21.0 | 9.0 | 3.0 | 1.0 | 1.0 | 0.0 | 0.0 | 6.0 | 8.0 | - | - | - | 66.7 | 100.0 | 0 | - | 75.0 | 75.0 |
| Tori Standefer | - | 1 | 17.0 | 7.0 | 4.0 | 1.0 | 1.0 | 0.0 | 1.0 | 5.0 | 7.0 | - | - | - | 60.0 | 33.3 | 0 | - | 70.0 | 70.0 |
| Brooke Woodyard | - | 1 | 10.0 | 6.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 10.0 | - | - | - | 100.0 | 0 | 80.0 | - | 93.8 | 100.0 |
| Alex Wolff | - | 1 | 10.0 | 5.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | 5.0 | - | - | - | 50.0 | 0 | 50.0 | - | 51.2 | 50.0 |
| Morgan Ramthun | - | 1 | 23.0 | 5.0 | 4.0 | 2.0 | 4.0 | 1.0 | 1.0 | 1.0 | 14.0 | - | - | - | 100.0 | 0 | 50.0 | - | 68.7 | 100.0 |
| Abby Peterson | - | 1 | 11.0 | 5.0 | 2.0 | 1.0 | 0.0 | 0.0 | 4.0 | 2.0 | 2.0 | 23 | 2.6 | 2.7 | 100.0 | 100.0 | 0 | 0.18 | 125.0 | 125.0 |
| Shae Dillavou | - | 1 | 12.0 | 4.0 | 1.0 | 1.0 | 3.0 | 0.0 | 2.0 | 2.0 | 5.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Audrey Martinez-Stewart | - | 1 | 26.0 | 4.0 | 4.0 | 4.0 | 3.0 | 1.0 | 0.0 | 4.0 | 12.0 | - | - | - | 25.0 | 0.0 | 100.0 | - | 41.0 | 25.0 |
| Aalia Carlson | - | 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