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 |
|---|---|---|---|---|---|---|---|
| Adyson James | Fr | 5-08 | 5.6 | 1.9 | 1.0 | 0.0 | Nicholls |
| Amelia Sandie | Jr | 5-07 | 3.5 | 1.5 | 0.0 | 0.0 | Nicholls |
| Betzalys Delgado | Fr | 5-07 | 16.2 | 3.0 | 3.1 | 2.0 | Nicholls |
| Britiya Curtis | Fr | 5-07 | 29.1 | 10.6 | 3.0 | 1.6 | Nicholls |
| Daelyn Craig | Jr | 6-00 | 18.9 | 3.3 | 4.0 | 1.3 | Nicholls |
| Deonna Brister | Jr | 5-11 | 24.2 | 8.1 | 4.5 | 1.0 | Nicholls |
| Lexi Alexander | So | 6-00 | 30.5 | 13.8 | 6.7 | 2.1 | Nicholls |
| Malaysia DePrisco | So | 5-09 | 9.0 | 2.0 | 2.5 | 0.0 | Nicholls |
| Violette Skipworth | Jr | 5-11 | 11.4 | 1.5 | 2.5 | 0.4 | Nicholls |