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 |
|---|---|---|---|---|---|---|---|
| Evangelia Paulk | Fr | 6-00 | 29.3 | 8.4 | 6.9 | 1.1 | Wofford |
| Indiya Clarke | So | 5-11 | 25.3 | 7.5 | 5.9 | 0.7 | Wofford |
| Maddie Heiss | Fr | 5-10 | 30.8 | 10.7 | 2.8 | 1.1 | Wofford |
| Rachel Rose | Jr | 5-07 | 35.6 | 22.3 | 8.3 | 5.4 | Wofford |
| Sara Deidda | Fr | 5-11 | 9.2 | 2.7 | 1.3 | 0.6 | Wofford |
| Vitolia Tuilave | Fr | 6-02 | 19.2 | 3.6 | 3.8 | 0.7 | Wofford |
| Yinka Kruyswijk | Fr | 6-02 | 5.9 | 0.6 | 1.1 | 0.3 | Wofford |