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 | River Lakes High (W) | USHS-MN-W | 21 | 6 | 9 | 15 | 0.714 | 0.1079 | 0.1079 |
| 2021-22 | River Lakes High (W) | USHS-MN-W | 31 | 23 | 26 | 49 | 1.581 | 0.2387 | 0.2532 |
| 2022-23 | River Lakes High (W) | USHS-MN-W | 27 | 23 | 16 | 39 | 1.444 | 0.2181 | 0.2210 |
| 2023-24 | River Lakes High (W) | USHS-MN-W | 24 | 28 | 17 | 45 | 1.875 | 0.2831 | 0.2750 |
| 2024-25 | River Lakes High (W) | USHS-MN-W | 28 | 35 | 17 | 52 | 1.857 | 0.2804 | 0.2616 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-River Falls | WIAC | FR | 31 | 28 | 32 | 60 | 1.935 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Paige Voight | USHS-MN-W · 2013-14 · 1.76 PPG | 0.559 | Merrimack |
| Charly Dalhquist | USHS-MN-W · 2012-13 · 1.68 PPG | 0.241 | North Dakota |
| Jordan McLaughlin | USHS-MN-W · 2012-13 · 1.68 PPG | 0.294 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Hannah Grabianowski | 2024-25 · 1.23 PPG | 0.517 | St. Norbert | NCHA |
| Claire Riestenberg | 2023-24 · 1.63 PPG | — | Wisconsin-Stevens Point | WIAC |
| Abby Hansberger | 2024-25 · 0.40 PPG | 1.643 | Concordia (WI) | NCHA |
| Addie Fee | 2024-25 · 1.27 PPG | 0.480 | Wisconsin-Superior | WIAC |
| Rylan Kissel | 2024-25 · 1.11 PPG | 0.577 | Bethel | MIAC |
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.