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 |
|---|---|---|---|---|---|---|---|
| Asiah Baxter | Fr | 5-11 | 5.8 | 1.1 | 0.8 | 0.2 | Ohio |
| Bailey Tabeling | Fr | 5-10 | 22.1 | 8.6 | 2.5 | 1.1 | Ohio |
| Cassidy Lafler | So | 5-11 | 14.6 | 3.8 | 2.8 | 0.3 | Ohio |
| Emma Barnett | Fr | 6-01 | 5.8 | 1.8 | 0.2 | 0.0 | Ohio |
| Jaya McClure | So | 5-06 | 29.5 | 12.7 | 2.5 | 3.3 | Ohio |
| Kate Dennis | Jr | 6-01 | 22.6 | 6.0 | 1.9 | 0.2 | Ohio |
| Kennedi Watkins | Jr | 5-10 | 25.3 | 11.0 | 3.8 | 0.8 | Ohio |
| Laylay Fantroy | Fr | 5-11 | 22.6 | 9.0 | 3.9 | 1.2 | Ohio |
| Monica Williams | Fr | 5-09 | 25.9 | 8.2 | 3.4 | 2.3 | Ohio |