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 |
|---|---|---|---|---|---|---|---|
| Carmen Williams | Jr | 5-10 | 6.8 | 1.1 | 1.6 | 0.2 | George Mason |
| Jada Brown | So | 5-06 | 6.4 | 1.4 | 1.0 | 0.5 | George Mason |
| Kennedy Harris | Fr | 5-06 | 22.2 | 9.4 | 3.3 | 1.3 | George Mason |
| Louis Volker | Fr | 6-01 | 8.8 | 2.9 | 2.0 | 0.6 | George Mason |
| Nekhu Mitchell | So | 6-00 | 20.2 | 4.0 | 5.0 | 0.9 | George Mason |
| Page Greenburg | So | 5-09 | 9.0 | 4.2 | 1.0 | 0.5 | George Mason |
| Paula Suarez | Jr | 6-00 | 25.9 | 7.0 | 2.5 | 3.2 | George Mason |
| Ta'Viyanna Habib | Jr | 5-11 | 26.8 | 10.0 | 4.9 | 0.7 | George Mason |
| Zahirah Walton | So | 5-11 | 21.8 | 11.3 | 5.6 | 0.5 | George Mason |