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 |
---|---|---|---|---|---|---|---|
Aly Avrach | 5-08 | 7.2 | 0.8 | 1.4 | 0.8 | Bellarmine | |
Ashlee Harris | 5-06 | 20.6 | 5.2 | 1.5 | 1.7 | Bellarmine | |
Bralee Trice | 5-08 | 5.3 | 0.0 | 1.3 | 0.0 | Bellarmine | |
Claire Knies | 5-10 | 26.8 | 7.3 | 2.4 | 1.0 | Bellarmine | |
Hayley Harrison | Jr | 5-10 | 33.6 | 15.6 | 4.6 | 2.1 | Bellarmine |
Hope Sivori | Jr | 5-05 | 31.5 | 11.0 | 4.3 | 4.3 | Bellarmine |
Jayla Butler | 5-05 | 11.3 | 3.8 | 2.1 | 0.7 | Bellarmine | |
Lucy Robertson | 6-03 | 11.4 | 2.8 | 2.4 | 0.4 | Bellarmine | |
Miyah Brown | 5-10 | 27.4 | 9.9 | 6.1 | 1.7 | Bellarmine | |
Paetynn Gray | So | 6-02 | 20.8 | 6.2 | 5.8 | 1.8 | Bellarmine |