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 |
|---|---|---|---|---|---|---|---|
| Anaya James | Jr | 5-09 | 33.9 | 12.1 | 4.6 | 5.9 | Pacific |
| Elizabeth Elliott | Jr | 6-01 | 19.5 | 13.1 | 5.6 | 1.3 | Pacific |
| Jamie Kent | Fr | 6-00 | 1.8 | 1.0 | 0.8 | 0.0 | Pacific |
| Kenlee Durrill | Fr | 5-10 | 8.5 | 0.8 | 0.7 | 0.5 | Pacific |
| Lauren Glazier | So | 6-04 | 9.9 | 4.1 | 1.8 | 0.5 | Pacific |
| Nyah Lowery | Fr | 5-11 | 13.7 | 2.8 | 1.5 | 0.6 | Pacific |
| Sydney Ward | So | 6-00 | 16.7 | 2.2 | 2.9 | 1.3 | Pacific |