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 |
|---|---|---|---|---|---|---|---|
| Ande'a Cherisier | Fr | 6-01 | 19.0 | 9.1 | 4.7 | 0.4 | Delaware |
| Arantxa Portalez | Fr | 6-02 | 5.3 | 0.9 | 1.6 | 0.5 | Delaware |
| Darrionna Howard | Fr | 6-00 | 14.3 | 4.1 | 4.9 | 0.5 | Delaware |
| Ella Wanzer | So | 5-10 | 25.7 | 10.1 | 1.9 | 1.1 | Delaware |
| Grace Sundback | Fr | 5-09 | 23.3 | 5.7 | 2.5 | 1.9 | Delaware |
| Jiya Perry | So | 5-10 | 13.2 | 3.1 | 2.1 | 0.5 | Delaware |
| Mia Yanogacio | Jr | 5-07 | 11.4 | 1.6 | 0.5 | 0.6 | Delaware |
| Michelle Ojo | Jr | 6-00 | 8.3 | 5.7 | 2.3 | 0.7 | Delaware |
| Nakiyah Mays-Prince | So | 5-05 | 20.8 | 4.6 | 3.1 | 2.6 | Delaware |
| Sydney Boone | Jr | 5-08 | 28.8 | 8.5 | 3.1 | 2.9 | Delaware |