I am working on a player-based projection system, similar to how Bart Torvik does it.
For now, the main projections are team-based, with the main inputs being:
1. Reversion to conference mean.
2. Coaching change factor = a fired coach results in a positive benefit, a good coach hired away produces a negative one.
3. Generic increase in performance for remaining players on roster.
It's okay, and generally mirrors some of the early subjective predictions. But we can do better.
| Player | Class | Height | Avg Minutes | Avg Points | Avg Rebounds | Avg Assists | 2025 Team |
|---|---|---|---|---|---|---|---|
| Aniyah Augmon | Jr | 5-08 | 33.1 | 13.0 | 5.9 | 3.6 | New Mexico |
| Clarissa Craig | Jr | 6-03 | 12.2 | 4.5 | 2.2 | 0.2 | New Mexico |
| Lara Langermann | Fr | 5-07 | 19.7 | 3.0 | 1.4 | 0.8 | New Mexico |
| Mackenzie Curtis | So | 5-09 | 4.9 | 2.0 | 0.5 | 0.4 | New Mexico |
| Nahawa Diarra Berthe | Jr | 5-09 | 9.2 | 1.5 | 1.3 | 1.1 | New Mexico |
| Natalia Chavez | Fr | 5-10 | 6.8 | 1.9 | 1.1 | 0.4 | New Mexico |
| Paris Lauro | Fr | 6-01 | 6.3 | 2.3 | 1.3 | 0.1 | New Mexico |
| Vianè Cumber | Jr | 5-10 | 33.1 | 11.4 | 6.0 | 1.3 | New Mexico |