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 |
---|---|---|---|---|---|---|---|
Abigail Wright | Fr | 6-01 | 17.6 | 6.7 | 3.5 | 0.6 | Harvard |
Elena Rodriguez | Jr | 6-02 | 27.0 | 10.3 | 6.8 | 3.3 | Harvard |
Elle Stauffer | Jr | 5-11 | 6.4 | 0.5 | 1.4 | 0.2 | Harvard |
Gabby Anderson | So | 5-11 | 20.1 | 3.4 | 4.3 | 1.0 | Harvard |
Harmoni Turner | Jr | 5-10 | 32.9 | 19.3 | 6.2 | 4.3 | Harvard |
Karlee White | Fr | 5-09 | 19.1 | 3.9 | 2.6 | 1.4 | Harvard |
Katie Krupa | So | 6-01 | 28.1 | 11.3 | 2.8 | 1.8 | Harvard |
Mary Hollensteiner | Fr | 6-01 | 7.1 | 2.6 | 0.6 | 0.1 | Harvard |
Mona Zaric | Jr | 6-02 | 9.8 | 2.0 | 1.7 | 0.8 | Harvard |
Saniyah Glenn | So | 6-00 | 26.8 | 5.3 | 4.3 | 1.4 | Harvard |