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 |
---|---|---|---|---|---|---|---|
Arshae Jackson | Fr | 5-10 | 2.1 | 0.4 | 0.1 | 0.0 | Radford |
Bria Beverly | Jr | 5-11 | 9.2 | 1.4 | 1.5 | 0.2 | Radford |
Emma Fox | So | 6-04 | 1.2 | 0.0 | 1.0 | 0.0 | Radford |
Joi Williams | Fr | 5-05 | 17.8 | 6.2 | 1.6 | 1.4 | Radford |
Kirby Brown | Jr | 6-00 | 3.5 | 0.8 | 0.9 | 0.0 | Radford |
Laila Acox | Jr | 6-00 | 12.9 | 5.1 | 3.1 | 0.2 | Radford |
Maci Rhoades | So | 5-11 | 13.1 | 3.4 | 2.2 | 0.3 | Radford |
Pa'Shence Traylor-Walker | So | 5-08 | 19.1 | 5.5 | 1.7 | 0.7 | Radford |
Reniya Jones | Jr | 5-07 | 5.8 | 0.4 | 0.5 | 0.4 | Radford |
Terissa BRICE | — | 31.0 | 12.0 | 7.0 | 0.0 | Radford | |
Terissa Lavoile-Brice | Fr | 6-00 | 29.8 | 4.6 | 6.3 | 1.2 | Radford |