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 |
---|---|---|---|---|---|---|---|
Alisha Wilson | Jr | 6-02 | 25.9 | 9.0 | 9.9 | 0.8 | Alabama A&M |
Asianae Nicholson | So | 5-10 | 10.4 | 2.4 | 3.6 | 0.2 | Alabama A&M |
Emajin McCallop | So | 5-06 | 0.0 | 0.0 | 0.0 | 0.0 | Alabama A&M |
Kaila Walker | So | 5-05 | 27.9 | 8.1 | 2.2 | 2.2 | Alabama A&M |
Kailyn Nash | 5-10 | 10.6 | 2.8 | 2.3 | 0.3 | Alabama A&M | |
Kalyn Ervin | Jr | 5-06 | 17.5 | 2.0 | 1.5 | 0.5 | Alabama A&M |
LaCambria Shakespeare | Jr | 6-04 | 7.9 | 1.4 | 1.3 | 0.1 | Alabama A&M |
Lauryn Pendleton | Jr | 5-09 | 34.1 | 12.1 | 4.1 | 2.4 | Alabama A&M |
Mailyn Wilkerson | Jr | 5-06 | 22.8 | 5.2 | 1.2 | 1.2 | Alabama A&M |
Shelomi Sanders | Fr | 5-06 | 1.6 | 0.6 | 0.6 | 0.0 | Alabama A&M |
Takaya Walters-Norman | Fr | 6-01 | 3.0 | 1.2 | 0.9 | 0.1 | Alabama A&M |