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 |
|---|---|---|---|---|---|---|---|
| Avery Childers | Fr | 5-10 | 1.0 | 0.7 | 0.3 | 0.0 | Massachusetts |
| Chinenye Odenigbo | Fr | 6-05 | 17.2 | 5.5 | 3.8 | 0.4 | Massachusetts |
| Dallas Pierce | Fr | 5-09 | 11.1 | 2.8 | 0.7 | 0.3 | Massachusetts |
| Lilly Ferguson | So | 5-10 | 19.8 | 2.8 | 2.6 | 1.0 | Massachusetts |
| Lilly Taulelei | Fr | 6-03 | 23.6 | 6.7 | 2.5 | 1.2 | Massachusetts |
| Mikenzie Jones | So | 6-01 | 5.8 | 1.0 | 1.7 | 0.0 | Massachusetts |
| Stefanie Kulesza | Jr | 5-11 | 30.9 | 11.2 | 7.1 | 1.5 | Massachusetts |