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 |
---|---|---|---|---|---|---|---|
Aga Makurat | Fr | 6-02 | 13.5 | 3.8 | 1.5 | 0.6 | Vanderbilt |
Aiyana Mitchell | Fr | 6-04 | 3.1 | 1.0 | 0.6 | 0.0 | Vanderbilt |
Iyana Moore | Jr | 5-08 | 33.0 | 14.2 | 3.5 | 2.8 | Vanderbilt |
Jada Brown | So | 5-08 | 5.6 | 0.7 | 0.4 | 0.3 | Vanderbilt |
Justine Pissott | So | 6-04 | 20.7 | 6.8 | 2.2 | 0.8 | Vanderbilt |
Khamil Pierre | Fr | 6-02 | 18.7 | 8.8 | 5.2 | 0.7 | Vanderbilt |
Madison Greene | Fr | 5-06 | 19.3 | 6.9 | 1.5 | 1.2 | Vanderbilt |
Ryanne Allen | So | 6-01 | 5.7 | 2.0 | 0.7 | 0.4 | Vanderbilt |
Sacha Washington | Jr | 6-02 | 28.9 | 12.0 | 8.0 | 1.4 | Vanderbilt |