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 |
|---|---|---|---|---|---|---|---|
| Cayla Cowart | So | 5-09 | 14.0 | 1.8 | 1.7 | 1.9 | Tennessee Tech |
| Hayley Paynter | Jr | 5-08 | 11.0 | 3.1 | 1.1 | 1.4 | Tennessee Tech |
| Jennifer Sullivan | So | 5-08 | 14.2 | 4.0 | 1.0 | 1.1 | Tennessee Tech |
| Maddy Saracco | Fr | 5-10 | 6.5 | 2.1 | 0.7 | 0.4 | Tennessee Tech |
| Reagan Hurst | Jr | 5-10 | 24.7 | 8.8 | 2.8 | 2.1 | Tennessee Tech |
| Reghan Grimes | So | 5-10 | 27.6 | 10.3 | 5.5 | 2.2 | Tennessee Tech |
| Taris Thornton | Jr | 6-00 | 21.2 | 8.7 | 5.1 | 0.8 | Tennessee Tech |