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 |
---|---|---|---|---|---|---|---|
Abbigail Stephens | Jr | 5-11 | 14.7 | 3.6 | 3.3 | 0.5 | Southeast Missouri State |
Amiyah Buchanan | Fr | 6-00 | 21.3 | 4.9 | 5.0 | 0.3 | Southeast Missouri State |
Indiya Bowen | Fr | 5-09 | 20.9 | 9.1 | 1.4 | 0.8 | Southeast Missouri State |
Jaliyah Green | Jr | 5-10 | 31.1 | 12.9 | 4.5 | 1.7 | Southeast Missouri State |