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 |
---|---|---|---|---|---|---|---|
Alex Covill | Fr | 6-06 | 9.8 | 2.9 | 2.4 | 0.3 | Washington State |
Astera Tuhina | So | 5-09 | 30.1 | 9.4 | 3.0 | 3.4 | Washington State |
Cia Eklöf | So | 5-10 | 6.7 | 1.6 | 1.1 | 0.7 | Washington State |
Eleonora Villa | Fr | 5-08 | 32.9 | 12.9 | 1.9 | 2.2 | Washington State |
Jenna Villa | Fr | 6-01 | 19.9 | 5.6 | 1.8 | 0.6 | Washington State |
Kyra Gardner | So | 5-11 | 9.0 | 3.3 | 1.6 | 0.4 | Washington State |
Tara Wallack | Jr | 6-02 | 30.2 | 10.5 | 4.4 | 2.4 | Washington State |