New Mexico
Also known as: New Mexico
Program History
Model Outputs
2024-2025
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 → | 0.992 (#117) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.918 (#192) | AdjNet +20.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.924 (#193) | AdjNet +21.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.784 (#185) | AdjO 73.4 | AdjD 59.2 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-15 | vs | Western N.M. | W | 85 - 56 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Destinee Hooks | - | 1 | 19.0 | 15.0 | 3.0 | 2.0 | 0.0 | 0.0 | 3.0 | 9.0 | 8.0 | - | - | - | 66.7 | 33.3 | 40.0 | - | 67.0 | 72.2 |
| VianÚ Cumber | - | 1 | 21.0 | 13.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 9.0 | 8.0 | - | - | - | 55.6 | 25.0 | 100.0 | - | 65.8 | 61.1 |
| Vianè Cumber | - | 1 | 21.0 | 13.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 9.0 | 8.0 | - | - | - | 55.6 | 25.0 | 100.0 | - | 65.8 | 61.1 |
| Hulda Joaquim | - | 1 | 18.0 | 12.0 | 9.0 | 0.0 | 2.0 | 1.0 | 2.0 | 7.0 | 15.0 | - | - | - | 85.7 | 0 | 0 | - | 85.7 | 85.7 |
| Alyssa Hargrove | - | 1 | 20.0 | 10.0 | 0.0 | 2.0 | 4.0 | 1.0 | 1.0 | 8.0 | 8.0 | - | - | - | 50.0 | 33.3 | 50.0 | - | 56.3 | 56.2 |
| Lydie Mwamba | - | 1 | 11.0 | 7.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 6.0 | 4.0 | - | - | - | 50.0 | 50.0 | 0 | 0.25 | 58.3 | 58.3 |
| Paris Lauro | - | 1 | 14.0 | 7.0 | 4.0 | 1.0 | 0.0 | 1.0 | 0.0 | 7.0 | 6.0 | - | - | - | 42.9 | 25.0 | 0 | 0.15 | 50.0 | 50.0 |
| Reza Po | - | 1 | 17.0 | 5.0 | 2.0 | 5.0 | 0.0 | 0.0 | 0.0 | 6.0 | 6.0 | - | - | - | 33.3 | 25.0 | 0 | 0.42 | 41.7 | 41.7 |
| Amhyia Moreland | - | 1 | 17.0 | 5.0 | 4.0 | 0.0 | 1.0 | 2.0 | 1.0 | 6.0 | 5.0 | - | - | - | 33.3 | 0 | 50.0 | - | 36.3 | 33.3 |
| Drew Jordon | - | 1 | 7.0 | 4.0 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 2.0 | 5.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Nayli Padilla | - | 1 | 9.0 | 4.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 3.0 | 3.0 | - | - | - | 33.3 | 50.0 | 50.0 | - | 51.5 | 50.0 |
| Joana Magalhães | - | 1 | 18.0 | 3.0 | 2.0 | 5.0 | 1.0 | 0.0 | 1.0 | 5.0 | 5.0 | - | - | - | 20.0 | 0.0 | 50.0 | - | 25.5 | 20.0 |
| Joana Magalhães | - | 1 | 18.0 | 3.0 | 2.0 | 5.0 | 1.0 | 0.0 | 1.0 | 5.0 | 5.0 | - | - | - | 20.0 | 0.0 | 50.0 | - | 25.5 | 20.0 |
| Lara Langermann | - | 1 | 19.0 | 0.0 | 2.0 | 1.0 | 0.0 | 1.0 | 1.0 | 3.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Lilli Hakkarainen | - | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | 64 | 6.4 | 12.6 | 0.0 | 0 | 0 | 0.4 | 0.0 | 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