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.

Alabama A&M

Player Class Height Avg Minutes Avg Points Avg Rebounds Avg Assists 2025 Team
Alisha WilsonJr6-0225.99.09.90.8Alabama A&M
Asianae NicholsonSo5-1010.42.43.60.2Alabama A&M
Emajin McCallopSo5-060.00.00.00.0Alabama A&M
Kaila WalkerSo5-0527.98.12.22.2Alabama A&M
Kailyn Nash5-1010.62.82.30.3Alabama A&M
Kalyn ErvinJr5-0617.52.01.50.5Alabama A&M
LaCambria ShakespeareJr6-047.91.41.30.1Alabama A&M
Lauryn PendletonJr5-0934.112.14.12.4Alabama A&M
Mailyn WilkersonJr5-0622.85.21.21.2Alabama A&M
Shelomi SandersFr5-061.60.60.60.0Alabama A&M
Takaya Walters-NormanFr6-013.01.20.90.1Alabama A&M