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 |
---|---|---|---|---|---|---|---|
Aaliyah Nye | Jr | 6-00 | 30.9 | 14.1 | 3.1 | 1.3 | Alabama |
Diana Collins | Fr | 5-09 | 9.4 | 3.0 | 1.2 | 0.2 | Alabama |
Essence Cody | Fr | 6-04 | 22.3 | 8.2 | 6.5 | 0.3 | Alabama |
Jessica Timmons | So | 5-08 | 26.5 | 11.2 | 4.5 | 2.3 | Alabama |
Karly Weathers | So | 5-11 | 22.4 | 5.1 | 3.9 | 2.0 | Alabama |
Naomi Jones | Fr | 6-04 | 8.8 | 2.3 | 2.6 | 0.1 | Alabama |
Reychel Douglas | Fr | 6-00 | 4.4 | 0.8 | 0.8 | 0.4 | Alabama |
Sarah Ashlee Barker | Jr | 6-00 | 29.4 | 16.8 | 6.3 | 2.9 | Alabama |