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 |
---|---|---|---|---|---|---|---|
Blake Matthews | So | 5-04 | 27.8 | 6.6 | 4.0 | 2.9 | Texas State |
Crystal Smith | Jr | 5-09 | 11.1 | 4.1 | 1.2 | 0.7 | Texas State |
Emillia Steele | Fr | 5-10 | 5.3 | 0.7 | 0.7 | 1.0 | Texas State |
Jaylin Foster | Jr | 6-00 | 24.6 | 9.4 | 4.6 | 1.7 | Texas State |
Julia Coleman | Fr | 6-00 | 10.5 | 5.9 | 3.1 | 0.3 | Texas State |
Kennedy Claybrooks | So | 5-06 | 13.0 | 3.0 | 1.0 | 1.8 | Texas State |
Mia Galbraith | Fr | 5-09 | 3.6 | 0.3 | 0.4 | 0.1 | Texas State |
Taleiyah Gibbs | Fr | 6-00 | 5.8 | 2.2 | 0.8 | 0.2 | Texas State |
Tiffany Tullis | Jr | 5-11 | 23.2 | 7.5 | 6.6 | 1.4 | Texas State |