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 |
|---|---|---|---|---|---|---|---|
| Aniya Hubbard | So | 5-08 | 23.7 | 17.2 | 5.0 | 2.3 | UAB |
| Ashton Elley | So | 5-10 | 17.9 | 6.1 | 2.8 | 0.8 | UAB |
| Denim DeShields | So | 5-05 | 32.8 | 13.6 | 2.9 | 5.2 | UAB |
| Desiree Ware | So | 5-08 | 13.0 | 2.8 | 1.4 | 1.1 | UAB |
| Genevive Wedemeyer | Fr | 5-08 | 6.1 | 1.2 | 0.4 | 0.3 | UAB |
| Jade Weathersby | Fr | 6-02 | 17.8 | 8.7 | 5.0 | 0.4 | UAB |
| Maddie Walsh | Jr | 6-02 | 32.2 | 10.3 | 3.4 | 0.9 | UAB |
| Mia Moore | So | 5-06 | 32.5 | 15.4 | 8.9 | 2.9 | UAB |
| Molly Moffitt | So | 6-01 | 13.2 | 3.9 | 2.8 | 0.7 | UAB |
| Tracey Bershers | Jr | 6-02 | 24.1 | 9.1 | 4.7 | 1.3 | UAB |
| Valentina Monzo | Jr | 6-02 | 3.3 | 0.3 | 0.4 | 0.1 | UAB |