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 | Shattuck St. Mary's 16U | NE-Prep-Girls | 45 | 16 | 6 | 22 | 0.489 | 0.1588 | 0.1588 |
| 2020-21 | Shattuck St. Mary's 16U | NE-Prep-Girls | 31 | 15 | 13 | 28 | 0.903 | 0.2934 | 0.2934 |
| 2021-22 | Shattuck St. Mary's 16U | NE-Prep-Girls | 44 | 31 | 17 | 48 | 1.091 | 0.3543 | 0.3711 |
| 2022-23 | — | 19U-AAA-W | 24 | 20 | 2 | 22 | 0.917 | 0.3763 | 0.3763 |
| 2023-24 | — | 19U-AAA-W | 6 | 1 | 1 | 2 | 0.333 | 0.1368 | 0.1368 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston University | HEA-W | SO | 34 | 2 | 1 | 3 | 0.088 |
| 2024-25 | Boston University | HEA-W | FR | 37 | 8 | 6 | 14 | 0.378 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Vilma Tanskanen | SMLIIGA-W · 2012-13 · 0.35 PPG | 0.182 | North Dakota |
| Lydia Passolt | USHS-MN-W · 2012-13 · 0.89 PPG | 0.095 | Bemidji State |
| Carly Bullock | USHS-MN-W · 2012-13 · 0.92 PPG | 0.812 | Princeton |
| Emily Antony | USHS-MN-W · 2012-13 · 0.92 PPG | 0.444 | Minnesota State |
| Amanda Bäckebo | SDHL · 2012-13 · 0.11 PPG | 0.056 | Syracuse |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Shelby Evans | 2024-25 · 0.89 PPG | — | St. Scholastica | NCHA |
| Andrea Noss | 2013-14 · 0.52 PPG | 0.667 | SUNY Oswego | SUNYAC |
| Amber Meluzio | 2024-25 · 0.79 PPG | 0.464 | Elmira | UCHC |
| Cara Cook | 2022-23 · 1.12 PPG | 0.333 | Aurora | NCHA |
| Adrienne Hansen | 2023-24 · 0.70 PPG | 0.481 | Wisconsin-Eau Claire | 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.