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 | Okanagan HA U18 Prep | CSSHL-U18W | 28 | 7 | 10 | 17 | 0.607 | 0.1391 | 0.1391 |
| 2019-20 | Okanagan HA U18 Prep | CSSHL-U18W | 24 | 8 | 8 | 16 | 0.667 | 0.1527 | 0.1527 |
| 2020-21 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 7 | 0 | 3 | 3 | 0.429 | 0.0982 | 0.0982 |
| 2021-22 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 23 | 12 | 21 | 33 | 1.435 | 0.3287 | 0.3287 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ohio State | WCHA-W | SR | 41 | 2 | 13 | 15 | 0.366 |
| 2024-25 | Ohio State | WCHA-W | JR | 40 | 3 | 8 | 11 | 0.275 |
| 2023-24 | Boston University | HEA-W | SO | 35 | 3 | 8 | 11 | 0.314 |
| 2022-23 | Boston University | HEA-W | FR | 34 | 7 | 10 | 17 | 0.500 |
| 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 |
| 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 |
| Erin O'Connor | USHS-W · 2012-13 · 2.85 PPG | 0.758 | Cornell |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Katie Aney | 2012-13 · 2.75 PPG | 0.385 | Gustavus Adolphus | MIAC |
| Bailey Coons | 2011-12 · 2.31 PPG | 0.458 | Becker | — |
| Claire Cripps | 2010-11 · 2.20 PPG | 0.480 | Augsburg | MIAC |
| Emily Cronkhite | 2018-19 · 1.76 PPG | 0.600 | Augsburg | MIAC |
| Emma Crocker | 2016-17 · 1.38 PPG | 0.769 | Elmira | UCHC |
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.