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 |
|---|---|---|---|---|---|---|---|
| Ari Long | Fr | 6-00 | 10.3 | 4.2 | 1.9 | 0.3 | Washington |
| Chloe Briggs | Fr | 5-11 | 19.7 | 3.7 | 2.5 | 1.3 | Washington |
| Dalayah Daniels | Jr | 6-04 | 28.1 | 11.9 | 7.2 | 1.6 | Washington |
| Elle Ladine | So | 5-11 | 28.1 | 11.6 | 5.4 | 1.6 | Washington |
| Hannah Stines | So | 5-11 | 31.1 | 9.2 | 4.7 | 2.5 | Washington |
| Jayda Noble | Jr | 5-11 | 19.7 | 3.3 | 4.1 | 1.4 | Washington |
| Olivia Anderson | Fr | 6-06 | 5.7 | 1.9 | 1.5 | 0.2 | Washington |
| Sayvia Sellers | Fr | 5-07 | 26.3 | 8.5 | 2.3 | 2.2 | Washington |
| Shayla Gillmer | So | 6-01 | 6.3 | 1.4 | 2.4 | 0.5 | Washington |
| Teagan Brown | So | 5-10 | 10.4 | 2.0 | 1.9 | 0.3 | Washington |