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 |
---|---|---|---|---|---|---|---|
Henna Sandvik | So | 6-00 | 6.2 | 0.9 | 0.7 | 0.5 | Indiana |
Julianna LaMendola | Fr | 6-01 | 9.1 | 1.8 | 1.9 | 0.7 | Indiana |
Karoline Striplin | Jr | 6-03 | 14.0 | 7.2 | 3.2 | 0.7 | Indiana |
Lenée Beaumont | Fr | 6-01 | 9.1 | 3.0 | 0.7 | 0.5 | Indiana |
Lexus Bargesser | So | 5-09 | 21.1 | 4.2 | 2.7 | 2.8 | Indiana |
Lilly Meister | So | 6-03 | 10.1 | 3.7 | 2.7 | 0.2 | Indiana |
Sharnecce Currie-Jelks | So | 6-02 | 2.3 | 0.7 | 0.3 | 0.0 | Indiana |
Shay Ciezki | So | 5-07 | 24.7 | 11.5 | 2.1 | 2.4 | Indiana |
Yarden Garzon | So | 6-03 | 29.0 | 11.7 | 4.4 | 3.1 | Indiana |