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 |
|---|---|---|---|---|---|---|---|
| Claire Gallagher | Jr | 5-11 | 2.7 | 0.6 | 0.1 | 0.6 | San Diego |
| Courtney Wristen | Jr | 6-02 | 14.0 | 3.8 | 3.1 | 0.4 | San Diego |
| Harsimran Kaur | Jr | 6-04 | 21.9 | 8.6 | 5.0 | 0.9 | San Diego |
| Jess Finney | Jr | 6-00 | 19.1 | 5.9 | 2.1 | 2.0 | San Diego |
| Kylie Horstmeyer | Jr | 6-00 | 30.6 | 10.3 | 3.0 | 1.4 | San Diego |
| Lauren McCall | Fr | 5-06 | 5.0 | 1.1 | 0.5 | 0.6 | San Diego |
| Malia Tharpe | Fr | 6-00 | 7.2 | 1.7 | 1.7 | 0.4 | San Diego |
| Melesungu Afeaki | So | 6-02 | 6.7 | 1.0 | 1.4 | 0.1 | San Diego |
| Mila Wawszkowicz | Fr | 5-11 | 13.0 | 1.7 | 2.2 | 0.8 | San Diego |