Fort Hays St.
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 → | 1215 (#2) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1236 (#11) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.3 (#4) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.914 (#178) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.970 (#28) | NetEff +28.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.988 (#78) | AdjNet +37.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.989 (#75) | AdjNet +38.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.906 (#70) | AdjO 78.5 | AdjD 53.5 |
2025 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Katie Wagner degarmo | - | 5 | 32.8 | 17.8 | 9.4 | 2.6 | 1.6 | 0.6 | 1.6 | 12.2 | 18.2 | 204 | 6.2 | 6.2 | 57.4 | 100.0 | 85.0 | 1.1 | 63.8 | 59.0 |
| Olivia Hollenbeck | - | 33 | 24.0 | 16.0 | 5.7 | 1.4 | 2.0 | 1.6 | 1.7 | 10.2 | 14.9 | 143 | 4.3 | 6.1 | 59.8 | 0 | 72.6 | 1.01 | 64.0 | 59.8 |
| Talexa Weeter | - | 33 | 19.9 | 14.6 | 6.0 | 0.7 | 0.8 | 1.0 | 1.9 | 9.9 | 11.2 | 139 | 3.2 | 4.3 | 53.0 | 39.2 | 79.4 | 0.24 | 62.6 | 57.8 |
| Kate Dilsaver | - | 27 | 30.0 | 9.1 | 4.6 | 2.5 | 2.0 | 0.5 | 0.8 | 7.8 | 10.0 | 182 | 6.7 | 7.2 | 44.5 | 42.9 | 59.6 | 1.17 | 52.1 | 50.2 |
| Brooke Loewe | - | 33 | 29.9 | 7.3 | 3.3 | 7.0 | 1.6 | 0.2 | 4.0 | 7.2 | 8.2 | 253 | 6.0 | 5.9 | 36.3 | 38.5 | 80.0 | 1.07 | 45.6 | 40.5 |
| Ellie Stearns | - | 33 | 22.3 | 4.7 | 3.4 | 1.5 | 0.6 | 0.1 | 1.0 | 4.9 | 4.4 | 147 | 3.5 | 4.4 | 35.4 | 31.2 | 71.4 | -0.16 | 46.9 | 46.3 |
| Bailey Wilborn | - | 33 | 18.1 | 3.4 | 1.5 | 0.8 | 0.4 | 0.0 | 0.8 | 3.4 | 2.0 | 87 | 2.6 | 4.7 | 35.4 | 35.5 | 83.3 | 0.15 | 48.4 | 47.3 |
| Megan Earney | - | 33 | 10.9 | 1.8 | 1.4 | 0.3 | 0.2 | 0.1 | 0.3 | 1.7 | 1.8 | -11 | -0.4 | -1.0 | 31.6 | 30.9 | 80.0 | -0.45 | 49.7 | 46.5 |
| Avery Lowe | - | 30 | 3.5 | 1.3 | 0.7 | 0.3 | 0.1 | 0.1 | 0.3 | 1.3 | 1.1 | 63 | 2.2 | 7.0 | 42.1 | 0.0 | 66.7 | 0.11 | 46.2 | 42.1 |
| Maddy Powell | - | 32 | 8.9 | 1.2 | 0.6 | 1.2 | 0.1 | 0.0 | 0.9 | 1.6 | 0.7 | 1 | 0.0 | 0.1 | 30.0 | 20.0 | 62.5 | -0.35 | 37.4 | 35.0 |
| Callie Ott | - | 31 | 2.2 | 0.4 | 0.2 | 0.1 | 0.1 | 0.0 | 0.3 | 0.3 | 0.3 | -14 | -0.5 | -3.5 | 37.5 | 50.0 | 83.3 | -0.28 | 56.4 | 43.8 |
| Sarah Lawless | - | 28 | 1.1 | 0.4 | 0.4 | 0.0 | 0.0 | 0.1 | 0.1 | 0.4 | 0.4 | 7 | 0.4 | 4.8 | 50.0 | 0.0 | 12.5 | 0.18 | 40.7 | 50.0 |
| Sasha Koenig | - | 11 | 1.4 | 0.3 | 0.2 | 0.2 | 0.1 | 0.0 | 0.5 | 0.5 | -0.3 | - | - | - | 20.0 | 25.0 | 0 | - | 30.0 | 30.0 |
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