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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Hill-Murray School | USHS-MN-W | 25 | 10 | 11 | 21 | 0.840 | 0.1268 | 0.1268 |
| 2017-18 | Hill-Murray School | USHS-MN-W | 25 | 9 | 6 | 15 | 0.600 | 0.0906 | 0.0906 |
| 2018-19 | Hill-Murray School | USHS-MN-W | 25 | 23 | 21 | 44 | 1.760 | 0.2658 | 0.2658 |
| 2019-20 | Hill-Murray School | USHS-MN-W | 25 | 25 | 16 | 41 | 1.640 | 0.2476 | 0.2476 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Minnesota Duluth | WCHA-W | GR | 2 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Quinnipiac | ECAC-W | SR | 37 | 16 | 16 | 32 | 0.865 |
| 2022-23 | Quinnipiac | ECAC-W | JR | 40 | 8 | 12 | 20 | 0.500 |
| 2021-22 | Quinnipiac | ECAC-W | SO | 39 | 15 | 10 | 25 | 0.641 |
| 2020-21 | Quinnipiac | ECAC-W | FR | 16 | 2 | 4 | 6 | 0.375 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Paige Voight | USHS-MN-W · 2013-14 · 1.76 PPG | 0.559 | Merrimack |
| Amy Petersen | USHS-MN-W · 2012-13 · 1.92 PPG | 0.784 | Penn State |
| 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 |
| Liz Schepers | USHS-MN-W · 2013-14 · 1.84 PPG | 0.410 | Ohio State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Rylan Kissel | 2024-25 · 1.11 PPG | 0.577 | Bethel | MIAC |
| Marta Mazzocchi | 2022-23 · 0.90 PPG | 0.727 | Trinity | NESCAC |
| Katherine Bell | 2021-22 · 1.35 PPG | 0.478 | Wisconsin-River Falls | WIAC |
| Ellie Woodman | 2013-14 · 1.79 PPG | 0.360 | Concordia (WI) | NCHA |
| Miranda Gaudet | 2015-16 · 0.64 PPG | 1.000 | Suffolk | NEHC |
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.