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 |
|---|---|---|---|---|---|---|---|
| Chaniya Clark | So | 6-04 | 26.3 | 10.1 | 8.2 | 1.0 | North Carolina A&T |
| Jordyn Dorsey | Jr | 5-09 | 32.4 | 12.9 | 5.3 | 3.4 | North Carolina A&T |
| Keona Curtis | So | 6-01 | 11.4 | 2.6 | 1.7 | 0.2 | North Carolina A&T |
| Maleia Bracone | Jr | 5-10 | 33.2 | 11.2 | 4.5 | 2.9 | North Carolina A&T |
| Mia Hardin | Jr | 6-04 | 5.7 | 0.5 | 1.9 | 0.0 | North Carolina A&T |
| Nahndi Smith | Jr | 5-06 | 6.7 | 0.4 | 0.3 | 0.6 | North Carolina A&T |
| Paris Locke | Fr | 6-00 | 23.3 | 6.0 | 4.7 | 1.5 | North Carolina A&T |
| Raigan Lawrence | So | 5-08 | 1.0 | 0.0 | 0.0 | 0.0 | North Carolina A&T |
| Sean Kelly Darks | Jr | 5-08 | 15.1 | 4.6 | 2.1 | 1.7 | North Carolina A&T |
| Talia Davis | Jr | 6-00 | 15.2 | 3.5 | 2.1 | 0.7 | North Carolina A&T |