Texas Woman's
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 → | 1171 (#19) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1215 (#19) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +24.1 (#11) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.931 (#170) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.959 (#33) | NetEff +24.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.984 (#89) | AdjNet +35.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.986 (#87) | AdjNet +36.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.890 (#91) | AdjO 75.4 | AdjD 52.4 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ashley Ingram | - | 35 | 30.6 | 15.7 | 9.1 | 4.0 | 1.5 | 0.7 | 3.0 | 11.7 | 16.4 | 130 | 3.7 | 4.2 | 48.7 | 21.4 | 82.0 | 0.92 | 56.8 | 50.1 |
| Scout Huffman | - | 35 | 24.7 | 11.6 | 4.7 | 1.0 | 0.7 | 0.3 | 1.6 | 8.5 | 8.3 | 135 | 3.9 | 6.2 | 58.2 | 50.0 | 89.8 | 0.55 | 63.3 | 60.5 |
| Leila Patel | - | 35 | 26.9 | 9.5 | 3.4 | 1.9 | 0.4 | 0.4 | 1.5 | 8.7 | 5.4 | 134 | 3.8 | 5.1 | 42.3 | 35.5 | 69.8 | 0.29 | 51.1 | 49.3 |
| Averee Kleinhans | - | 35 | 16.1 | 8.4 | 3.1 | 2.0 | 1.4 | 0.1 | 1.4 | 6.9 | 6.8 | 167 | 3.9 | 5.6 | 39.6 | 21.4 | 79.3 | 0.86 | 50.7 | 42.7 |
| Jada Celsur | - | 35 | 21.4 | 6.1 | 2.2 | 1.7 | 0.9 | 0.4 | 1.1 | 5.8 | 4.3 | 135 | 3.1 | 3.9 | 39.1 | 29.4 | 77.3 | 0.81 | 47.9 | 44.1 |
| Gabby Elliott | - | 35 | 12.3 | 5.1 | 4.1 | 0.4 | 0.4 | 0.4 | 0.8 | 4.0 | 5.6 | 133 | 3.8 | 4.7 | 51.8 | 0 | 71.7 | 0.41 | 55.6 | 51.8 |
| Kayla Glover | - | 35 | 23.8 | 3.4 | 2.9 | 2.2 | 0.8 | 0.0 | 1.1 | 3.2 | 5.1 | 204 | 4.7 | 6.5 | 38.7 | 11.5 | 67.4 | 1.16 | 45.4 | 40.1 |
| Ariyanna Hines | - | 35 | 20.9 | 3.3 | 2.2 | 1.1 | 0.8 | 0.2 | 1.4 | 3.8 | 2.5 | 136 | 3.9 | 6.6 | 31.1 | 33.9 | 71.4 | 0.74 | 41.4 | 38.6 |
| Gionna Carr | - | 35 | 10.1 | 3.0 | 1.5 | 0.6 | 0.3 | 0.1 | 0.3 | 2.7 | 2.5 | 76 | 2.2 | 5.0 | 40.0 | 20.0 | 75.8 | 0.64 | 47.9 | 42.1 |
| Hadyn Collie | - | 34 | 1.1 | 0.6 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.6 | -0.0 | -47 | -2.6 | -15.4 | 47.6 | 0 | 0 | -0.49 | 47.6 | 47.6 |
| Ahrianna Morgan | - | 33 | 1.4 | 0.2 | 0.2 | 0.2 | 0.1 | 0.0 | 0.1 | 0.1 | 0.4 | 13 | 1.3 | 9.9 | 50.0 | 100.0 | 100.0 | 0.11 | 71.7 | 62.5 |
| Caroline Glud rasmussen | - | 1 | 5.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 3.0 | -1.0 | 24 | 1.0 | 2.2 | 0.0 | 0.0 | 0 | -0.11 | 0.0 | 0.0 |
| Avery McConnell | - | 29 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -58 | -8.3 | -13.8 | 0 | 0 | 0 | -0.62 | 0 | 0 |
| Kaylie Morgan | - | 29 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3 | 0.3 | 0.6 | 0 | 0 | 0 | -0.1 | 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