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 |
---|---|---|---|---|---|---|---|
Catie Cunningham | Jr | 5-11 | 29.6 | 6.2 | 7.5 | 1.4 | Marist |
Ciara Croker | So | 6-00 | 20.5 | 4.4 | 3.2 | 1.0 | Marist |
Jackie Piddock | So | 5-08 | 29.7 | 6.2 | 2.5 | 2.3 | Marist |
Jayne Whitman | So | 5-06 | 0.0 | 0.0 | 0.0 | 0.0 | Marist |
Julia Corsentino | Fr | 5-09 | 19.1 | 5.7 | 2.1 | 0.6 | Marist |
Kate Robbins | Fr | 6-02 | 3.5 | 0.8 | 0.5 | 0.3 | Marist |
Lexie Tarul | So | 5-11 | 23.4 | 7.3 | 2.5 | 1.3 | Marist |
McKenna Rife | Jr | 6-03 | 0.5 | 0.5 | 0.8 | 0.0 | Marist |
Morgan Lee | So | 6-05 | 19.4 | 6.5 | 4.3 | 0.8 | Marist |
Morgan Tompkins | So | 5-11 | 7.0 | 0.8 | 1.0 | 0.1 | Marist |
Samantha Chadwick | Jr | 5-09 | 0.6 | 0.4 | 0.0 | 0.0 | Marist |