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 |
|---|---|---|---|---|---|---|---|
| Adalia McKenzie | Jr | 5-10 | 28.0 | 11.0 | 5.0 | 2.2 | Illinois |
| Brynn Shoup-Hill | Jr | 6-03 | 12.0 | 3.0 | 2.2 | 0.4 | Illinois |
| Cori Allen | Fr | 5-10 | 4.9 | 2.2 | 1.4 | 0.4 | Illinois |
| Gretchen Dolan | Fr | 5-11 | 17.1 | 4.8 | 1.6 | 1.0 | Illinois |
| Kam'ren Rhodes | So | 5-06 | 7.2 | 1.1 | 0.8 | 0.7 | Illinois |
| Samantha Dewey | So | 6-02 | 2.8 | 1.5 | 0.8 | 0.2 | Illinois |
| Shay Bollin | So | 6-03 | 7.5 | 2.1 | 1.3 | 0.5 | Illinois |
| Tenin Magassa | Jr | 6-05 | 17.3 | 7.0 | 4.6 | 1.1 | Illinois |