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 |
---|---|---|---|---|---|---|---|
Abbey Ferguson | So | 5-11 | 5.1 | 0.7 | 1.0 | 0.5 | Colgate |
Amarah Streiff | Fr | 5-10 | 7.4 | 2.6 | 1.4 | 0.5 | Colgate |
Chidinma Okafor | So | 6-04 | 6.6 | 2.5 | 1.4 | 0.3 | Colgate |
Christina Midgette | So | 6-00 | 11.2 | 1.9 | 2.6 | 0.9 | Colgate |
Ella Meabon | Fr | 5-08 | 13.2 | 4.1 | 2.2 | 0.8 | Colgate |
Madison Schiller | So | 5-08 | 32.3 | 7.7 | 5.4 | 2.6 | Colgate |
Morgan McMahon | Jr | 5-10 | 21.1 | 9.2 | 2.6 | 1.7 | Colgate |
Sophia Diehl | Jr | 6-01 | 29.1 | 7.6 | 6.5 | 1.8 | Colgate |
Taylor Golembiewski | Jr | 5-08 | 27.5 | 12.2 | 3.6 | 1.8 | Colgate |