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 |
|---|---|---|---|---|---|---|---|
| Amaya Ford | Jr | 5-11 | 4.7 | 1.0 | 1.6 | 0.4 | UL Monroe |
| Ashja Leake | Jr | 6-03 | 6.5 | 2.0 | 1.8 | 0.2 | UL Monroe |
| Chardai Watkins | So | 5-09 | 4.9 | 2.2 | 1.1 | 0.3 | UL Monroe |
| Cianté Downs | Jr | 5-08 | 25.3 | 3.1 | 4.2 | 1.3 | UL Monroe |
| Jakayla Johnson | Jr | 5-09 | 30.8 | 15.6 | 4.7 | 2.7 | UL Monroe |
| Katlyn Manuel | Jr | 6-01 | 23.2 | 10.0 | 5.7 | 0.4 | UL Monroe |
| Olivia Knight | Jr | 5-03 | 7.7 | 1.8 | 0.8 | 1.0 | UL Monroe |
| Rhi Ockwell | Jr | 6-01 | 5.9 | 1.6 | 0.9 | 0.3 | UL Monroe |
| Sha'Miya Butler | So | 6-02 | 3.7 | 1.0 | 1.4 | 0.0 | UL Monroe |