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 |
---|---|---|---|---|---|---|---|
Adreanna Waddle | Jr | 6-02 | 15.3 | 6.2 | 4.4 | 0.0 | Prairie View A&M |
Amauri Williams | So | 6-04 | 17.6 | 7.2 | 4.1 | 0.3 | Prairie View A&M |
Jaliyah Harper | Jr | 5-11 | 6.0 | 1.0 | 2.0 | 0.0 | Prairie View A&M |
Jayda Bowen | So | 5-07 | 12.8 | 1.2 | 1.4 | 1.4 | Prairie View A&M |
Kayla Smith | So | 5-11 | 9.0 | 3.1 | 0.3 | 0.3 | Prairie View A&M |
LaFaedria Green | Jr | 6-02 | 7.8 | 2.0 | 1.4 | 0.4 | Prairie View A&M |
Maya Williams | So | 5-05 | 12.4 | 1.6 | 1.2 | 1.4 | Prairie View A&M |
Mia Monroe | Jr | 5-06 | 4.1 | 2.4 | 0.3 | 0.1 | Prairie View A&M |
Nyam Thornton | Jr | 5-07 | 19.0 | 3.7 | 1.9 | 1.7 | Prairie View A&M |