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 |
|---|---|---|---|---|---|---|---|
| Abbie Aalsma | So | 5-09 | 24.4 | 7.5 | 2.2 | 1.2 | Drake |
| Anna Miller | Jr | 6-03 | 24.3 | 13.3 | 9.9 | 2.1 | Drake |
| Ashley ams | Jr | 6-01 | 8.8 | 2.9 | 1.1 | 0.5 | Drake |
| Ava Hawthorne | So | 5-09 | 15.5 | 2.8 | 1.6 | 1.9 | Drake |
| Brooklin Dailey | Fr | 6-00 | 6.3 | 1.8 | 1.7 | 0.5 | Drake |
| Emily Christensen | Fr | 5-11 | 0.7 | 0.3 | 0.0 | 0.0 | Drake |
| Hannah Nilges | Jr | 5-07 | 1.3 | 0.3 | 0.2 | 0.0 | Drake |
| Katie Dinnebier | Jr | 5-08 | 30.3 | 18.1 | 3.0 | 6.9 | Drake |
| Shannon Fornshell | Fr | 6-01 | 13.9 | 3.1 | 2.8 | 0.7 | Drake |