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 |
---|---|---|---|---|---|---|---|
Alyssa Costigan | So | 6-00 | 1.0 | 0.0 | 0.0 | 0.0 | Manhattan |
Annie Bair | So | 5-08 | 35.5 | 8.9 | 2.7 | 3.5 | Manhattan |
Hana Mühl | So | 5-08 | 12.5 | 2.9 | 1.3 | 0.9 | Manhattan |
Ines Gimenez Monserrat | So | 5-10 | 26.6 | 10.7 | 2.8 | 2.0 | Manhattan |
Kristina Juric | Fr | 6-02 | 2.0 | 0.0 | 0.3 | 0.0 | Manhattan |
Maddie Feller | Jr | — | 0.5 | 0.0 | 0.5 | 0.0 | Manhattan |
Nitzan Amar | So | 5-10 | 33.7 | 8.8 | 3.5 | 3.8 | Manhattan |
Petra Juric | Jr | 6-02 | 31.0 | 10.3 | 7.6 | 1.3 | Manhattan |
Tegan Young | Fr | 6-01 | 12.3 | 2.7 | 1.4 | 0.4 | Manhattan |