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 |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Ottawa Senators U22 | OWHL-U22 | 30 | 1 | 2 | 3 | 0.100 | 0.0350 | 0.0350 |
| 2022-23 | Ottawa Senators U22 | OWHL-U22 | 25 | 8 | 5 | 13 | 0.520 | 0.1821 | 0.1821 |
| 2023-24 | Ottawa Senators U22 | OWHL-U22 | 6 | 0 | 2 | 2 | 0.333 | 0.1167 | 0.1167 |
| 2024-25 | Whitby Wolves | OWHL-U22 | 14 | 5 | 6 | 11 | 0.786 | 0.2752 | 0.2752 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston University | HEA-W | FR | 26 | 1 | 4 | 5 | 0.192 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Anna Wright | NE-Prep-Girls · 2012-13 · 0.86 PPG | 0.000 | Maine |
| Taylor Marchin | NE-Prep-Girls · 2012-13 · 0.77 PPG | 0.207 | Yale |
| Anna Kilponen | SMLIIGA-W · 2012-13 · 0.79 PPG | 0.257 | North Dakota |
| Erin O'Connor | USHS-W · 2012-13 · 2.85 PPG | 0.758 | Cornell |
| Lauren Kelly | NE-Prep-Girls · 2012-13 · 0.73 PPG | 0.208 | Dartmouth |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Carley Daly | 2018-19 · 1.41 PPG | 0.704 | Amherst | NESCAC |
| Hadley Malcolmson | 2018-19 · 2.75 PPG | 0.364 | Wisconsin-River Falls | WIAC |
| Madison Morton | 2018-19 · 1.00 PPG | 1.000 | Elmira | UCHC |
| Brooke Walters | 2015-16 · 1.40 PPG | 0.714 | Wisconsin-River Falls | WIAC |
| Lindsey Hays | 2018-19 · 2.40 PPG | 0.417 | 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.