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 |
---|---|---|---|---|---|---|---|
Angelie Ricard | So | 5-10 | 20.9 | 4.5 | 2.2 | 0.6 | Wagner |
BrittneyShania Etuka | Jr | 6-01 | 4.4 | 0.3 | 0.5 | 0.0 | Wagner |
Drew Jordon | Fr | 5-11 | 15.9 | 5.8 | 1.9 | 0.8 | Wagner |
Julia Fabozzi | Jr | 6-01 | 7.7 | 2.3 | 0.8 | 0.5 | Wagner |
Kiera Edmonds | Fr | 6-02 | 20.6 | 8.8 | 7.6 | 0.2 | Wagner |
Kisha Ballinger | Jr | 5-08 | 28.6 | 8.5 | 3.9 | 1.4 | Wagner |
Klea Kaci | So | 5-11 | 4.9 | 1.9 | 0.3 | 0.1 | Wagner |
Lijirin Doyinsola Modesayor | Fr | 6-03 | 5.2 | 1.2 | 1.6 | 0.1 | Wagner |
Paige Lyons | Jr | 5-06 | 23.4 | 7.6 | 2.1 | 1.5 | Wagner |
Semie Brar | Jr | 5-04 | 25.8 | 9.8 | 2.7 | 1.5 | Wagner |
Shamique Cummings | Fr | 6-00 | 11.8 | 2.2 | 2.6 | 0.1 | Wagner |