Tex. A&M-Kingsville
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 → | 891 (#325) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 913 (#280) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.5 (#93) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.459 (#375) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.744 (#149) | NetEff +8.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.816 (#266) | AdjNet +13.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.832 (#261) | AdjNet +13.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.692 (#260) | AdjO 64.5 | AdjD 55.6 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Shelby Ray | - | 29 | 22.7 | 10.1 | 5.2 | 1.1 | 0.9 | 0.6 | 1.9 | 8.1 | 7.9 | - | - | - | 48.9 | 33.8 | 72.0 | 0.13 | 56.8 | 54.5 |
| Abby Bala | - | 30 | 31.4 | 9.4 | 3.1 | 3.4 | 1.2 | 0.2 | 2.1 | 7.0 | 8.1 | - | - | - | 48.3 | 32.4 | 70.5 | 0.32 | 56.0 | 51.2 |
| Kaycee Groves | - | 28 | 22.9 | 8.6 | 4.8 | 1.4 | 1.6 | 0.4 | 2.1 | 8.6 | 6.1 | 41 | 1.1 | 1.4 | 35.1 | 35.5 | 73.3 | 0.71 | 46.0 | 43.0 |
| Janessa Payne | - | 30 | 30.6 | 7.8 | 3.0 | 1.5 | 0.6 | 0.2 | 0.8 | 6.2 | 6.1 | - | - | - | 47.3 | 42.2 | 40.0 | 0.33 | 62.4 | 62.6 |
| Veyda Lake | - | 30 | 19.3 | 6.9 | 2.1 | 0.8 | 0.4 | 0.3 | 0.6 | 4.3 | 5.4 | - | - | - | 67.4 | 0 | 66.7 | 0.43 | 68.6 | 67.4 |
| Aina Maynou | - | 30 | 25.6 | 6.6 | 3.0 | 3.1 | 1.0 | 0.1 | 2.2 | 6.5 | 5.0 | -1 | -0.0 | -0.0 | 35.2 | 29.9 | 79.5 | -0.02 | 46.2 | 41.8 |
| Logan Borchardt | - | 16 | 8.9 | 4.2 | 1.3 | 1.0 | 0.5 | 0.1 | 1.2 | 3.7 | 2.2 | - | - | - | 40.7 | 20.0 | 73.9 | - | 49.2 | 43.2 |
| Jordyn Hernandez | - | 30 | 11.5 | 3.6 | 3.0 | 0.7 | 0.7 | 0.3 | 1.3 | 3.5 | 3.4 | 6 | 0.2 | 0.5 | 38.7 | 19.4 | 58.8 | -0.2 | 44.6 | 41.5 |
| Addisyn Parker | - | 30 | 9.8 | 2.1 | 0.7 | 0.4 | 0.5 | 0.0 | 0.7 | 1.7 | 1.4 | 64 | 1.6 | 2.9 | 41.2 | 38.7 | 69.2 | 0.21 | 55.5 | 52.9 |
| Alyssa O'malley | - | 3 | 8.3 | 1.7 | 2.0 | 0.0 | 1.0 | 0.0 | 0.7 | 2.7 | 1.3 | -11 | -0.4 | -0.8 | 25.0 | 50.0 | 0.0 | -0.15 | 28.2 | 31.2 |
| Isabella Paradowski | - | 30 | 5.0 | 1.6 | 1.4 | 0.1 | 0.1 | 0.2 | 0.6 | 1.4 | 1.5 | - | - | - | 39.5 | 0 | 68.4 | - | 45.8 | 39.5 |
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