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 Blanck | So | 6-02 | 1.9 | 0.6 | 0.4 | 0.0 | Utah |
| Chyra Evans | So | 6-02 | 21.7 | 6.2 | 4.3 | 1.7 | Utah |
| Gianna Kneepkens | Jr | 6-00 | 21.2 | 15.0 | 5.0 | 3.6 | Utah |
| Ines Vieira | Jr | 5-06 | 32.7 | 8.0 | 3.6 | 5.6 | Utah |
| Jenna Johnson | Jr | 6-02 | 28.9 | 8.9 | 5.6 | 2.1 | Utah |
| Kennady McQueen | Jr | 5-10 | 30.1 | 10.8 | 4.2 | 3.1 | Utah |
| Lani White | So | 5-11 | 9.9 | 2.5 | 1.7 | 0.5 | Utah |
| Maty Wilke | So | 5-10 | 21.6 | 7.7 | 2.2 | 1.7 | Utah |
| Nene Sow | Jr | 6-08 | 2.9 | 0.8 | 0.5 | 0.1 | Utah |
| Reese Ross | Fr | 6-01 | 10.6 | 3.5 | 3.5 | 0.7 | Utah |
| Sam Crispe | So | 6-02 | 7.2 | 1.7 | 1.2 | 0.3 | Utah |