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 |
---|---|---|---|---|---|---|---|
Alberte Rimdal | Jr | 5-09 | 25.2 | 7.2 | 1.5 | 1.5 | Nebraska |
Alexis Markowski | Jr | 6-03 | 28.4 | 15.7 | 10.5 | 1.3 | Nebraska |
Callin Hake | So | 5-08 | 18.3 | 6.1 | 2.8 | 1.9 | Nebraska |
Jessica Petrie | Fr | 6-02 | 9.9 | 3.7 | 2.0 | 0.4 | Nebraska |
Kendall Coley | Jr | 6-02 | 11.6 | 2.3 | 1.7 | 0.8 | Nebraska |
Kendall Moriarty | Jr | 6-01 | 14.2 | 3.1 | 1.3 | 1.1 | Nebraska |
Logan Nissley | Fr | 6-00 | 17.4 | 7.0 | 2.1 | 1.1 | Nebraska |
Maddie Krull | Jr | 5-09 | 15.6 | 2.0 | 1.6 | 1.2 | Nebraska |
Natalie Potts | Fr | 6-02 | 24.1 | 10.2 | 5.5 | 0.8 | Nebraska |