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 |
---|---|---|---|---|---|---|---|
Ally Sentance | So | 5-09 | 18.9 | 3.6 | 2.7 | 1.3 | Central Connecticut |
Alonna Sellers | So | 6-00 | 16.8 | 6.8 | 4.7 | 0.2 | Central Connecticut |
Amaya Williams | Jr | 5-05 | 26.7 | 7.1 | 1.9 | 1.7 | Central Connecticut |
Belle Lanpher | Jr | 5-05 | 34.6 | 12.1 | 2.9 | 2.9 | Central Connecticut |
Ciera Pearson | So | 5-08 | 16.6 | 1.7 | 2.3 | 0.8 | Central Connecticut |
Emma Bruen | Jr | 5-07 | 16.9 | 2.0 | 2.3 | 0.8 | Central Connecticut |
Kayla Henry | Fr | 6-00 | 11.0 | 1.7 | 1.8 | 0.3 | Central Connecticut |
Livvy Pizzitola | Jr | 5-05 | 3.0 | 0.3 | 0.1 | 0.1 | Central Connecticut |
Samora Watson | So | 5-06 | 32.8 | 16.4 | 5.5 | 2.4 | Central Connecticut |