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 |
|---|---|---|---|---|---|---|---|
| Edessa Noyan | Fr | 6-03 | 13.3 | 2.9 | 3.1 | 0.4 | Virginia |
| Hawa Doumbouya | Fr | 6-07 | 3.0 | 2.1 | 1.5 | 0.5 | Virginia |
| Jillian Brown | Jr | 5-10 | 17.9 | 5.7 | 4.4 | 1.5 | Virginia |
| Kymora Johnson | Fr | 5-07 | 30.6 | 15.3 | 4.7 | 5.4 | Virginia |
| Latasha Lattimore | Jr | 6-04 | 14.4 | 5.6 | 3.1 | 0.5 | Virginia |
| Olivia McGhee | Fr | 6-02 | 14.4 | 5.5 | 2.0 | 0.3 | Virginia |
| Paris Clark | So | 5-08 | 23.9 | 9.9 | 4.5 | 2.1 | Virginia |
| Yonta Vaughn | So | 5-08 | 18.5 | 5.0 | 2.4 | 3.5 | Virginia |