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 |
---|---|---|---|---|---|---|---|
Ava Sciolla | So | 6-00 | 7.4 | 0.8 | 2.0 | 0.6 | Columbia |
Blau Tor | Fr | 6-00 | 2.8 | 1.0 | 0.7 | 0.1 | Columbia |
Cecelia Collins | Jr | 6-00 | 25.8 | 13.7 | 4.5 | 3.9 | Columbia |
Fliss Henderson | Fr | 5-11 | 22.8 | 4.4 | 4.6 | 2.6 | Columbia |
Habti Calvo | Fr | 5-09 | 4.6 | 0.6 | 0.8 | 0.1 | Columbia |
Kitty Henderson | Jr | 5-10 | 31.3 | 12.1 | 6.2 | 4.0 | Columbia |
Marija Avlijas | Fr | 5-11 | 7.8 | 1.8 | 0.6 | 0.6 | Columbia |
Noa ComesaƱa | Jr | 6-01 | 10.0 | 2.5 | 1.3 | 0.5 | Columbia |
Perri Page | So | 5-11 | 16.8 | 5.4 | 3.2 | 0.8 | Columbia |
Riley Weiss | Fr | 5-10 | 15.3 | 7.1 | 1.5 | 0.5 | Columbia |
Susie Rafiu | So | 6-01 | 14.7 | 4.7 | 2.8 | 0.7 | Columbia |