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 |
---|---|---|---|---|---|---|---|
Aina Grane Torres | Fr | 6-00 | 4.3 | 0.4 | 0.8 | 0.0 | Boston University |
Alex Giannaros | Jr | 5-05 | 33.0 | 14.2 | 2.9 | 2.8 | Boston University |
Anastasiia Semenova | So | 6-02 | 26.0 | 8.0 | 5.1 | 1.2 | Boston University |
Anete Adler | So | 6-05 | 16.8 | 6.4 | 3.6 | 1.2 | Boston University |
Aoibhe Gormley | Fr | 5-08 | 21.2 | 4.7 | 2.8 | 2.6 | Boston University |
Audrey Ericksen | Fr | 6-00 | 29.0 | 5.6 | 3.1 | 1.4 | Boston University |
Bella McLaughlin | Fr | 5-06 | 3.9 | 0.4 | 0.3 | 0.3 | Boston University |
Emelia O'Gilvie | Fr | 5-08 | 2.2 | 1.0 | 0.2 | 0.0 | Boston University |
Inés Monteagudo | Fr | 5-11 | 12.5 | 2.9 | 0.9 | 0.8 | Boston University |
Natalie Jasper | Jr | 5-05 | 4.0 | 0.7 | 0.0 | 0.3 | Boston University |