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 |
---|---|---|---|---|---|---|---|
Katie Beyer | Jr | 6-01 | 6.4 | 1.4 | 0.9 | 0.3 | Valparaiso |
Kayla Preston | Fr | 6-00 | 3.0 | 0.6 | 0.6 | 0.0 | Valparaiso |
Layla Gold | Fr | 5-11 | 20.8 | 3.3 | 2.3 | 0.6 | Valparaiso |
Nevaeh Jackson | Fr | 6-00 | 27.2 | 7.2 | 3.2 | 1.8 | Valparaiso |
Olivia Sims | Jr | 5-09 | 11.9 | 3.1 | 1.1 | 0.9 | Valparaiso |
Raeven Raye-Redmond | Fr | 5-06 | 9.3 | 1.6 | 1.1 | 0.6 | Valparaiso |
Saniya Jackson | Fr | 6-00 | 25.8 | 9.6 | 3.3 | 1.2 | Valparaiso |