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 |
---|---|---|---|---|---|---|---|
Brooke Berry | Fr | 6-00 | 9.4 | 2.2 | 1.6 | 0.3 | Montana State |
Drea Brumfield | So | 6-02 | 4.8 | 0.5 | 1.2 | 0.2 | Montana State |
Ella Johnson | Fr | 6-02 | 15.2 | 1.5 | 2.9 | 0.4 | Montana State |
Esmeralda Morales | Jr | 5-05 | 35.5 | 16.5 | 2.4 | 2.8 | Montana State |
Hannah Robbins | Fr | 6-00 | 12.0 | 3.0 | 5.0 | 0.5 | Montana State |
Isobel Bunyan | Fr | 6-00 | 20.8 | 5.1 | 2.5 | 1.3 | Montana State |
Lea Boulanger | Fr | 6-02 | 4.0 | 0.7 | 0.1 | 0.2 | Montana State |
Lindsey Hein | So | 6-06 | 11.6 | 3.2 | 2.5 | 0.5 | Montana State |
Malea Egan | Fr | 5-06 | 8.8 | 1.3 | 1.2 | 0.1 | Montana State |
Marah Dykstra | So | 6-02 | 29.9 | 11.0 | 5.6 | 2.6 | Montana State |
Natalie Picton | Fr | 5-05 | 28.3 | 7.3 | 2.2 | 2.1 | Montana State |