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 |
---|---|---|---|---|---|---|---|
Fanta Gassama | Jr | 6-01 | 22.5 | 6.8 | 7.9 | 1.3 | New Mexico State |
Femme Masudi | Jr | 6-05 | 11.6 | 4.4 | 2.7 | 0.1 | New Mexico State |
Imani Warren | Fr | 5-10 | 5.3 | 2.3 | 1.3 | 0.1 | New Mexico State |
Jaila Harding | Jr | 5-08 | 28.3 | 9.3 | 2.5 | 0.9 | New Mexico State |
Loes Rozing | Jr | 5-10 | 18.5 | 3.0 | 2.5 | 0.7 | New Mexico State |
Lucia Yenes | So | 6-00 | 9.8 | 3.5 | 2.1 | 0.4 | New Mexico State |
Sabou Gueye | Jr | 5-09 | 19.3 | 5.8 | 3.7 | 1.0 | New Mexico State |
Sianny Sanchez-Oliver | Jr | 5-05 | 20.8 | 1.5 | 1.9 | 2.5 | New Mexico State |
Sylena Peterson | Jr | 5-07 | 20.0 | 5.7 | 2.5 | 2.4 | New Mexico State |
Tylie Jones | Jr | 6-00 | 19.2 | 7.3 | 3.2 | 0.6 | New Mexico State |