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 |
---|---|---|---|---|---|---|---|
Angie Cera | Jr | 5-11 | 28.2 | 9.6 | 2.9 | 1.7 | Milwaukee |
Anna Lutz | So | 6-01 | 22.6 | 9.8 | 5.9 | 1.4 | Milwaukee |
Jada Donaldson | Jr | 5-06 | 32.3 | 5.9 | 2.8 | 3.0 | Milwaukee |
Jada Williams | Fr | 5-09 | 11.8 | 2.5 | 2.1 | 0.6 | Milwaukee |
Jorey Buwalda | Fr | 6-00 | 18.2 | 7.7 | 5.5 | 1.1 | Milwaukee |
Justina Hernandez | So | 5-08 | 4.1 | 1.5 | 0.6 | 0.2 | Milwaukee |
Kacee Baumhower | Jr | 5-09 | 32.2 | 12.5 | 3.3 | 2.7 | Milwaukee |
Kalvina Eubanks | Jr | 5-08 | 1.9 | 0.9 | 0.5 | 0.1 | Milwaukee |
Kamy Peppler | So | 5-06 | 32.0 | 11.6 | 3.5 | 4.8 | Milwaukee |
Lior Halevi | Jr | 5-11 | 2.5 | 0.4 | 0.5 | 0.5 | Milwaukee |
Vanessa Jurewicz | Jr | 5-07 | 6.6 | 0.9 | 0.6 | 0.5 | Milwaukee |