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 |
|---|---|---|---|---|---|---|---|
| Charlece Ohiaeri | Fr | 6-00 | 8.2 | 3.7 | 1.4 | 0.5 | DePaul |
| Grace Carstensen | Fr | 5-11 | 5.1 | 0.9 | 0.4 | 0.1 | DePaul |
| Haley Walker | So | 5-08 | 5.1 | 1.3 | 1.9 | 0.2 | DePaul |
| Kate Clarke | So | 6-01 | 22.3 | 9.8 | 2.6 | 1.0 | DePaul |
| Maeve McErlane | So | 5-10 | 25.0 | 4.6 | 2.2 | 2.9 | DePaul |
| Meg Newman | So | 6-03 | 8.1 | 1.4 | 2.1 | 0.2 | DePaul |
| Shakara McCline | Fr | 5-06 | 9.0 | 4.7 | 1.5 | 0.8 | DePaul |
| Sumer Lee | Fr | 5-08 | 6.9 | 1.4 | 0.9 | 0.8 | DePaul |