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 |
|---|---|---|---|---|---|---|---|
| Alyssa Andrews | Jr | 6-00 | 19.9 | 3.4 | 4.2 | 0.7 | Wake Forest |
| Elise Williams | Jr | 5-09 | 31.7 | 13.4 | 5.0 | 3.7 | Wake Forest |
| Kate Deeble | Fr | 5-08 | 24.0 | 6.0 | 1.5 | 2.1 | Wake Forest |
| Madisyn Jordan | Fr | 6-01 | 10.9 | 3.9 | 1.4 | 0.2 | Wake Forest |
| Makela Quimby | Fr | 5-09 | 2.7 | 0.3 | 0.3 | 0.2 | Wake Forest |
| Malaya Cowles | So | 6-03 | 24.0 | 8.2 | 4.2 | 1.0 | Wake Forest |
| Raegyn Conley | Jr | 6-00 | 18.1 | 5.2 | 2.1 | 0.8 | Wake Forest |
| Rylie Theuerkauf | Fr | 5-09 | 9.5 | 3.8 | 0.7 | 0.3 | Wake Forest |