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 | Hill-Murray School | USHS-MN-W | 6 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2020-21 | Hill-Murray School | USHS-MN-W | 17 | 19 | 5 | 24 | 1.412 | 0.2132 | 0.2132 |
| 2021-22 | Hill-Murray School | USHS-MN-W | 28 | 30 | 22 | 52 | 1.857 | 0.2804 | 0.2804 |
| 2022-23 | — | 16U-AAA-W | 9 | 6 | 4 | 10 | 1.111 | 0.3969 | 0.3969 |
| 2023-24 | Hill-Murray School | USHS-MN-W | 31 | 32 | 28 | 60 | 1.935 | 0.2923 | 0.2680 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Thomas | CHA-W | SO | 36 | 10 | 12 | 22 | 0.611 |
| 2024-25 | St. Thomas | CHA-W | FR | 33 | 9 | 9 | 18 | 0.545 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Liz Schepers | USHS-MN-W · 2013-14 · 1.84 PPG | 0.410 | Ohio 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 |
|---|---|---|---|---|
| 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 |
| Rylan Kissel | 2024-25 · 1.11 PPG | 0.577 | Bethel | MIAC |
| 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.