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 |
|---|---|---|---|---|---|---|---|
| Kierra Merchant | Fr | 5-07 | 11.4 | 4.1 | 2.0 | 0.9 | Houston |
| Logyn McNeil | So | 6-03 | 11.3 | 2.3 | 2.3 | 0.2 | Houston |
| Peyton McFarland | Jr | 6-04 | 18.4 | 5.9 | 4.4 | 0.1 | Houston |