Based on 35 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 | Shattuck St. Mary's 16U | NE-Prep-Girls | 56 | 20 | 32 | 52 | 0.929 | 0.3016 | 0.3338 |
| 2019-20 | Shattuck St. Mary's Prep | NE-Prep-Girls | 50 | 25 | 37 | 62 | 1.240 | 0.4028 | 0.4028 |
| 2020-21 | Shattuck St. Mary's Prep | NE-Prep-Girls | 41 | 31 | 47 | 78 | 1.902 | 0.6179 | 0.6179 |
| 2021-22 | Shattuck St. Mary's Prep | NE-Prep-Girls | 60 | 34 | 48 | 82 | 1.367 | 0.4439 | 0.4159 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota | WCHA-W | SR | 39 | 8 | 30 | 38 | 0.974 |
| 2024-25 | Minnesota | WCHA-W | JR | 42 | 11 | 19 | 30 | 0.714 |
| 2023-24 | Colgate | ECAC-W | FR | 34 | 13 | 26 | 39 | 1.147 |
| 2022-23 | Ohio State | WCHA-W | FR | 33 | 3 | 5 | 8 | 0.242 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Briana Mastel | NE-Prep-Girls · 2012-13 · 1.04 PPG | 0.258 | Harvard |
| Anna Kilponen | SMLIIGA-W · 2012-13 · 0.79 PPG | 0.257 | North Dakota |
| Megan Wolfe | USHS-MN-W · 2012-13 · 2.40 PPG | 0.725 | Minnesota |
| Anna Wright | NE-Prep-Girls · 2012-13 · 0.86 PPG | 0.000 | Maine |
| Paige Haley | USHS-MN-W · 2012-13 · 2.40 PPG | 0.083 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kalle Reed | 2022-23 · 1.79 PPG | 0.500 | Gustavus Adolphus | MIAC |
| Kaiya Sandy | 2023-24 · 1.50 PPG | 0.571 | Hamline | MIAC |
| Rose Aldridge | 2022-23 · 2.08 PPG | — | Gustavus Adolphus | MIAC |
| Ari Smith | 2011-12 · 2.17 PPG | — | Elmira | UCHC |
| Alyson Niebur | 2017-18 · 1.44 PPG | 0.600 | Wisconsin-River Falls | WIAC |
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.