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 |
|---|---|---|---|---|---|---|---|
| Amiyah Ferguson | Fr | 5-08 | 22.3 | 8.8 | 2.3 | 2.6 | Fordham |
| Cassidy Mahaney | Fr | 5-08 | 5.3 | 1.5 | 0.5 | 0.1 | Fordham |
| Kaila Berry | So | 5-11 | 5.5 | 2.0 | 1.5 | 0.1 | Fordham |
| Rose Nelson | So | 6-01 | 23.7 | 3.7 | 3.5 | 1.0 | Fordham |
| Taya Davis | Jr | 5-07 | 23.4 | 5.9 | 3.2 | 3.4 | Fordham |