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 | Rochester Lourdes High (W) | USHS-MN-W | 25 | 9 | 14 | 23 | 0.920 | 0.1389 | 0.1389 |
| 2020-21 | Shattuck St. Mary's 16U | NE-Prep-Girls | 31 | 9 | 9 | 18 | 0.581 | 0.1886 | 0.1886 |
| 2021-22 | Shattuck St. Mary's 16U | NE-Prep-Girls | 48 | 12 | 26 | 38 | 0.792 | 0.2571 | 0.2746 |
| 2022-23 | — | 16U-AAA-W | 6 | 0 | 2 | 2 | 0.333 | 0.1184 | 0.1184 |
| 2023-24 | — | 19U-AAA-W | 6 | 1 | 3 | 4 | 0.667 | 0.2737 | 0.2737 |
| 2024-25 | — | 19U-AAA-W | 20 | 5 | 8 | 13 | 0.650 | 0.2668 | 0.2668 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2026-27 | Princeton | ECAC-W | FR | 0 | 0 | 0 | 0 | 0.000 |
| 2025-26 | Princeton | ECAC-W | FR | 32 | 3 | 0 | 3 | 0.094 |
| 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 |
|---|---|---|---|---|
| Ivy Boric | 2015-16 · 0.54 PPG | 1.296 | SUNY Plattsburgh | SUNYAC |
| Emma Flynn | 2016-17 · 1.14 PPG | 0.615 | Amherst | NESCAC |
| Alexis Peterson | 2014-15 · 1.48 PPG | 0.476 | Marian | NCHA |
| Kassie Lien | 2012-13 · 1.68 PPG | 0.417 | Saint Mary's (MN) | MIAC |
| Anna Carman | 2011-12 · 1.76 PPG | — | St. Catherine | 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.