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 |
---|---|---|---|---|---|---|---|
Antonia Bates | So | 6-03 | 29.4 | 3.6 | 3.5 | 3.2 | Rutgers |
Destiny Adams | Jr | 6-03 | 29.5 | 15.6 | 7.9 | 1.8 | Rutgers |
Kennedy Brandt | Fr | 5-10 | 4.8 | 1.2 | 0.6 | 0.1 | Rutgers |
Lisa Thompson | Fr | 5-09 | 21.1 | 6.7 | 1.9 | 1.3 | Rutgers |
Mya Petticord | So | 5-09 | 30.6 | 10.2 | 3.4 | 2.2 | Rutgers |