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 |
---|---|---|---|---|---|---|---|
Claudia Langarita | Jr | 6-04 | 9.2 | 2.1 | 1.5 | 0.4 | California |
Ioanna Krimili | Jr | 5-10 | 29.2 | 13.0 | 1.9 | 2.3 | California |
Kemery Martin | Jr | 6-00 | 22.9 | 6.7 | 2.5 | 1.5 | California |
Lulu Laditan-Twidale | Fr | 5-09 | 15.9 | 6.3 | 1.4 | 0.7 | California |
Marta Suarez | Jr | 6-03 | 27.7 | 11.9 | 6.9 | 1.6 | California |