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 Crockett | So | 6-02 | 6.9 | 1.6 | 1.3 | 0.7 | Michigan |
Greta Kampschroeder | Jr | 6-01 | 8.7 | 2.4 | 1.2 | 0.5 | Michigan |
Jordan Hobbs | Jr | 6-03 | 28.5 | 9.8 | 4.2 | 3.0 | Michigan |
Macy Brown | Fr | 6-00 | 5.7 | 1.1 | 0.9 | 0.6 | Michigan |