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 |
---|---|---|---|---|---|---|---|
Annemarie Batista | So | 6-01 | 8.7 | 3.4 | 0.6 | 0.1 | Little Rock |
Camryn James | Jr | 6-03 | 10.0 | 1.2 | 2.0 | 0.3 | Little Rock |
Courtney Davis | Jr | 5-05 | 4.0 | 0.0 | 0.8 | 0.0 | Little Rock |
Faith Lee | So | 5-11 | 31.1 | 14.5 | 3.1 | 1.1 | Little Rock |
Jaiyah HarrisSmith | Jr | 5-06 | 32.5 | 5.8 | 4.4 | 5.1 | Little Rock |
Jordan Holman | Jr | 5-10 | 16.5 | 7.2 | 3.6 | 0.5 | Little Rock |
Leilani WimbishGay | Jr | 5-10 | 25.1 | 8.4 | 3.8 | 1.0 | Little Rock |
Mesi Triplett | Jr | 6-03 | 26.9 | 3.9 | 3.6 | 0.3 | Little Rock |
Mira Hanna | So | 6-00 | 4.0 | 0.6 | 1.1 | 0.1 | Little Rock |