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 |
|---|---|---|---|---|---|---|---|
| Audrey Deptula | Fr | 6-00 | 4.5 | 1.0 | 0.6 | 0.2 | Loyola Chicago |
| Destiny Jackson | Jr | 5-10 | 1.3 | 0.7 | 0.2 | 0.0 | Loyola Chicago |
| Emma Theodorsson | So | 6-01 | 30.1 | 13.4 | 5.7 | 1.9 | Loyola Chicago |
| Kira Chivers | So | 5-03 | 18.5 | 3.5 | 1.4 | 1.9 | Loyola Chicago |
| Maddie Petroelje | Fr | 6-01 | 1.0 | 1.5 | 0.0 | 0.0 | Loyola Chicago |
| Mallory Ramage | So | 5-10 | 6.2 | 1.5 | 0.8 | 0.4 | Loyola Chicago |