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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Mauricie Stars 55 M18 AAA | QMAAA-W | 29 | 1 | 3 | 4 | 0.138 | 0.0201 | 0.0201 |
| 2019-20 | Mauricie Stars 55 M18 AAA | QMAAA-W | 28 | 3 | 12 | 15 | 0.536 | 0.0783 | 0.0783 |
| 2020-21 | Mauricie Stars 55 M18 AAA | QMAAA-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Cégep Limoilou Titans | QCHL-W | 28 | 1 | 7 | 8 | 0.286 | 0.0775 | 0.0775 |
| 2022-23 | Cégep Limoilou Titans | QCHL-W | 30 | 3 | 7 | 10 | 0.333 | 0.0905 | 0.0905 |
| 2023-24 | Cégep Limoilou Titans | QCHL-W | 30 | 10 | 23 | 33 | 1.100 | 0.2985 | 0.2985 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Lawrence | ECAC-W | SO | 35 | 5 | 7 | 12 | 0.343 |
| 2024-25 | St. Lawrence | ECAC-W | FR | 39 | 2 | 6 | 8 | 0.205 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Anna Kilponen | SMLIIGA-W · 2012-13 · 0.79 PPG | 0.257 | North Dakota |
| Anna Wright | NE-Prep-Girls · 2012-13 · 0.86 PPG | 0.000 | Maine |
| Briana Mastel | NE-Prep-Girls · 2012-13 · 1.04 PPG | 0.258 | Harvard |
| Taylor Marchin | NE-Prep-Girls · 2012-13 · 0.77 PPG | 0.207 | Yale |
| Erin O'Connor | USHS-W · 2012-13 · 2.85 PPG | 0.758 | Cornell |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lindsey Hays | 2018-19 · 2.40 PPG | 0.417 | St. Catherine | MIAC |
| Brooke Walters | 2015-16 · 1.40 PPG | 0.714 | Wisconsin-River Falls | WIAC |
| Madison Morton | 2018-19 · 1.00 PPG | 1.000 | Elmira | UCHC |
| Hadley Malcolmson | 2018-19 · 2.75 PPG | 0.364 | Wisconsin-River Falls | WIAC |
| Katie Flynn | 2018-19 · 1.36 PPG | 0.741 | Augsburg | 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.