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 |
---|---|---|---|---|---|---|---|
Cadence Dykstra | Fr | 5-08 | 3.8 | 0.8 | 0.6 | 0.3 | Toledo |
Ella Doherty | Jr | 5-11 | 1.7 | 0.2 | 0.4 | 0.1 | Toledo |
Ella Weaver | Fr | 6-00 | 3.7 | 0.7 | 0.4 | 0.2 | Toledo |
Emmi Rinat | Jr | 6-00 | 19.5 | 4.9 | 2.1 | 2.1 | Toledo |
Jessica Cook | Jr | 6-02 | 11.7 | 5.9 | 3.5 | 0.7 | Toledo |
Macey Fegan | Fr | 5-11 | 2.2 | 0.8 | 1.3 | 0.1 | Toledo |