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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Dodge County High (W) | USHS-MN-W | 19 | 1 | 0 | 1 | 0.053 | 0.0079 | 0.0079 |
| 2020-21 | Dodge County High (W) | USHS-MN-W | 19 | 0 | 2 | 2 | 0.105 | 0.0159 | 0.0159 |
| 2021-22 | Dodge County High (W) | USHS-MN-W | 24 | 13 | 24 | 37 | 1.542 | 0.2328 | 0.2328 |
| 2022-23 | Dodge County High (W) | USHS-MN-W | 27 | 28 | 19 | 47 | 1.741 | 0.2628 | 0.2652 |
| 2023-24 | Dodge County High (W) | USHS-MN-W | 28 | 35 | 23 | 58 | 2.071 | 0.3128 | 0.3026 |
| 2024-25 | Dodge County High (W) | USHS-MN-W | 29 | 21 | 36 | 57 | 1.966 | 0.2968 | 0.2757 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Eau Claire | WIAC | FR | 27 | 6 | 10 | 16 | 0.593 |
| 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 |
| Lindsay Roethke | USHS-MN-W · 2012-13 · 1.96 PPG | 0.027 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Abby Hansberger | 2024-25 · 0.40 PPG | 1.643 | Concordia (WI) | NCHA |
| Madison Kadrlik | 2022-23 · 1.08 PPG | 0.643 | Wisconsin-River Falls | WIAC |
| 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 |
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.