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 |
---|---|---|---|---|---|---|---|
Aaliyah Alexander | So | 5-08 | 29.5 | 14.6 | 4.8 | 1.3 | UNLV |
Alyssa Brown | Jr | 6-01 | 23.8 | 6.5 | 8.1 | 2.2 | UNLV |
Amarachi Kimpson | Fr | 5-08 | 20.4 | 8.9 | 1.8 | 1.8 | UNLV |
Erica Collins | So | 6-03 | 4.6 | 1.2 | 1.3 | 0.1 | UNLV |
Jasmyn Lott | So | 5-08 | 14.7 | 6.0 | 1.6 | 0.5 | UNLV |
Kenadee Winfrey | Jr | 5-11 | 6.0 | 2.5 | 2.5 | 0.5 | UNLV |
Kiara Jackson | Jr | 5-07 | 31.2 | 11.5 | 4.4 | 4.8 | UNLV |
Macie James | Jr | 5-11 | 9.2 | 3.0 | 1.4 | 0.6 | UNLV |
Macy Spencer | Fr | 5-09 | 6.2 | 3.0 | 0.9 | 0.3 | UNLV |
McKinna Brackens | Fr | 6-01 | 8.4 | 2.3 | 2.8 | 0.4 | UNLV |