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 |
|---|---|---|---|---|---|---|---|
| Alejandra Ferreiros | So | 6-01 | 5.4 | 1.3 | 1.3 | 0.4 | Bryant |
| Breya Busby | Fr | 5-04 | 8.3 | 3.0 | 1.3 | 0.8 | Bryant |
| Jada Leonard | So | 5-08 | 33.1 | 12.1 | 4.0 | 2.2 | Bryant |
| Jessica Berens | So | 6-04 | 3.6 | 0.3 | 0.9 | 0.3 | Bryant |
| Kemari Reynolds | Jr | 5-07 | 32.2 | 6.8 | 5.7 | 3.0 | Bryant |
| Martina Boba | Fr | 6-01 | 29.0 | 6.8 | 3.0 | 1.7 | Bryant |
| Mia Mancini | Fr | 5-06 | 31.2 | 13.3 | 3.3 | 2.7 | Bryant |
| Nia Scott | Fr | 6-01 | 24.9 | 7.0 | 6.4 | 1.0 | Bryant |
| Silvia Gonzalez | Fr | 6-02 | 17.6 | 5.7 | 3.5 | 0.8 | Bryant |