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 |
---|---|---|---|---|---|---|---|
Amy Cotton | Jr | 6-00 | 25.2 | 5.9 | 5.2 | 2.0 | Houston Christian |
Elizabeth Matadi | Jr | 6-05 | 7.8 | 2.0 | 1.7 | 0.2 | Houston Christian |
Enya Maguire | Jr | 5-04 | 24.5 | 7.7 | 2.7 | 1.4 | Houston Christian |
Erin Maguire | Fr | 5-07 | 15.8 | 5.2 | 1.3 | 1.3 | Houston Christian |
Hannah Fields | Fr | 5-10 | 22.0 | 3.2 | 3.0 | 0.4 | Houston Christian |
Jo Oly | So | 6-00 | 26.4 | 3.7 | 4.8 | 1.6 | Houston Christian |
Lyric Barr | Fr | 6-01 | 9.9 | 2.8 | 1.9 | 0.4 | Houston Christian |
Makolla Bagayegou | Fr | 5-09 | 9.2 | 3.1 | 1.8 | 0.2 | Houston Christian |
Tove Caesar | Fr | 6-01 | 15.2 | 4.3 | 1.5 | 0.3 | Houston Christian |
Victoria Dixon | So | 5-05 | 19.2 | 5.8 | 1.7 | 1.4 | Houston Christian |
Yasmin Butler | So | 6-05 | 17.3 | 2.5 | 3.3 | 0.4 | Houston Christian |