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 |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Dexter Southfield | NE-Prep-Girls | 22 | 1 | 1 | 2 | 0.090 | 0.0292 | 0.0292 |
| 2018-19 | Dexter Southfield | NE-Prep-Girls | 24 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2020-21 | Shattuck St. Mary's Prep | NE-Prep-Girls | 39 | 15 | 15 | 30 | 0.769 | 0.2498 | 0.2498 |
| 2021-22 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 22 | 18 | 10 | 28 | 1.273 | 0.2916 | 0.2789 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Brown | ECAC-W | SR | 32 | 17 | 16 | 33 | 1.031 |
| 2024-25 | Brown | ECAC-W | JR | 30 | 6 | 10 | 16 | 0.533 |
| 2023-24 | Brown | ECAC-W | SO | 32 | 16 | 11 | 27 | 0.844 |
| 2022-23 | Brown | ECAC-W | FR | 29 | 17 | 6 | 23 | 0.793 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Liz Schepers | USHS-MN-W · 2013-14 · 1.84 PPG | 0.410 | Ohio State |
| Paige Voight | USHS-MN-W · 2013-14 · 1.76 PPG | 0.559 | Merrimack |
| Mariah Gardner | USHS-MN-W · 2013-14 · 1.74 PPG | 0.071 | Minnesota State |
| Lindsay Roethke | USHS-MN-W · 2012-13 · 1.96 PPG | 0.027 | UConn |
| Emily Gunderson | USHS-MN-W · 2012-13 · 1.71 PPG | 0.171 | Lindenwood |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kalle Reed | 2022-23 · 1.79 PPG | 0.500 | Gustavus Adolphus | MIAC |
| Kaiya Sandy | 2023-24 · 1.50 PPG | 0.571 | Hamline | MIAC |
| Ella Hansen | 2022-23 · 1.69 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Mikayla Goodin | 2013-14 · 1.42 PPG | 0.667 | Wisconsin-Superior | WIAC |
| Eleanor Donaher | 2013-14 · 1.69 PPG | 0.524 | Lebanon Valley | UCHC |
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.