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 |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Rosemount High (women) | USHS-MN-W | 17 | 8 | 10 | 18 | 1.059 | 0.1599 | 0.1599 |
| 2021-22 | Rosemount High (women) | USHS-MN-W | 28 | 17 | 38 | 55 | 1.964 | 0.2966 | 0.2966 |
| 2022-23 | Rosemount High (women) | USHS-MN-W | 31 | 15 | 20 | 35 | 1.129 | 0.1705 | 0.1705 |
| 2023-24 | — | 16U-AAA-W | 5 | 1 | 3 | 4 | 0.800 | 0.2858 | 0.2858 |
| 2024-25 | Rosemount High (women) | USHS-MN-W | 30 | 29 | 29 | 58 | 1.933 | 0.2919 | 0.2718 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota State | CHA-W | FR | 38 | 4 | 8 | 12 | 0.316 |
| 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 |
| Emily Gunderson | USHS-MN-W · 2012-13 · 1.71 PPG | 0.171 | Lindenwood |
| Charly Dalhquist | USHS-MN-W · 2012-13 · 1.68 PPG | 0.241 | North Dakota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Abby Hansberger | 2024-25 · 0.40 PPG | 1.643 | Concordia (WI) | NCHA |
| Claire Riestenberg | 2023-24 · 1.63 PPG | — | Wisconsin-Stevens Point | WIAC |
| Hannah Grabianowski | 2024-25 · 1.23 PPG | 0.517 | St. Norbert | NCHA |
| Marta Mazzocchi | 2022-23 · 0.90 PPG | 0.727 | Trinity | NESCAC |
| Madison Kadrlik | 2022-23 · 1.08 PPG | 0.643 | Wisconsin-River Falls | WIAC |
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.