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 |
---|---|---|---|---|---|---|---|
Alyssa Latham | Fr | 6-02 | 27.0 | 8.6 | 7.0 | 0.7 | Tennessee |
Avery Strickland | So | 5-10 | 4.2 | 0.9 | 0.8 | 0.3 | Tennessee |
Edie Darby | So | 5-07 | 3.8 | 1.1 | 0.8 | 0.4 | Tennessee |
Jillian Hollingshead | Jr | 6-05 | 17.1 | 4.6 | 4.5 | 1.1 | Tennessee |
Kaiya Wynn | Jr | 6-00 | 13.0 | 4.4 | 2.6 | 1.6 | Tennessee |
Lazaria Spearman | So | 6-04 | 18.1 | 6.3 | 5.9 | 0.5 | Tennessee |
Sara Puckett | Jr | 6-02 | 26.8 | 9.8 | 4.9 | 1.5 | Tennessee |