Based on 40 comparable players
Most women's college players come directly from high school hockey. Junior or HS season stats below (when available on Elite Prospects).
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-W PPG | Age-Adjusted |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Simley High (W) | USHS-MN-W | 12 | 0 | 1 | 1 | 0.083 | 0.0126 | 0.0126 |
| 2019-20 | Simley High (W) | USHS-MN-W | 25 | 0 | 4 | 4 | 0.160 | 0.0242 | 0.0242 |
| 2020-21 | Simley High (W) | USHS-MN-W | 20 | 0 | 3 | 3 | 0.150 | 0.0226 | 0.0226 |
| 2021-22 | Simley High (W) | USHS-MN-W | 25 | 1 | 8 | 9 | 0.360 | 0.0544 | 0.0544 |
| 2022-23 | Simley High (W) | USHS-MN-W | 27 | 0 | 17 | 17 | 0.630 | 0.0951 | 0.0843 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Saint Mary's | MIAC | SO | 4 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Saint Mary's (MN) | MIAC | FR | 4 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Mckenzie Revering | USHS-MN-W · 2012-13 · 0.56 PPG | 0.059 | Minnesota Duluth |
| McKenna Wesloh | USHS-MN-W · 2012-13 · 0.56 PPG | 0.273 | Ohio State |
| Paige Small | USHS-W · 2012-13 · 1.00 PPG | 0.000 | Long Island Univ. |
| Kate Rydland | USHS-MN-W · 2012-13 · 0.54 PPG | 0.161 | Penn State |
| Arianna Kosakowski | NE-Prep-Girls · 2012-13 · 0.27 PPG | 0.000 | Union |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Eva Nelson | 2023-24 · 0.52 PPG | 0.393 | Gustavus Adolphus | MIAC |
| Autumn Burt | 2023-24 · 0.50 PPG | — | St. Catherine | MIAC |
| Audrey McClurg | 2024-25 · 0.52 PPG | — | Concordia | MIAC |
| Bea Palmer | 2024-25 · 0.83 PPG | 0.250 | Bowdoin | NESCAC |
| Jenna Horvat | 2022-23 · 0.50 PPG | — | St. Scholastica | NCHA |
Women's college hockey projections draw primarily on high school and junior stats when available. Because most women go directly from HS to college, projections with limited pre-college data use conference-based priors.
NCAAe-W factors are derived from historical pre-college→NCAA-W transitions. For many players, projection confidence is lower than men's due to sparse pre-college tracking.