Based on 6 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 | L-L Étoiles M18 AAA | QMAAA-W | 29 | 14 | 11 | 25 | 0.862 | 0.1260 | 0.1226 |
| 2019-20 | John Abbott College | QCHL-W | 21 | 6 | 7 | 13 | 0.619 | 0.1680 | 0.1680 |
| 2020-21 | John Abbott College | QCHL-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2025-26 | Montréal Victoire | PWHL | 6 | 1 | 0 | 1 | 0.167 | N/A | N/A |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Quinnipiac | ECAC-W | SR | 38 | 15 | 12 | 27 | 0.711 |
| 2023-24 | Quinnipiac | ECAC-W | JR | 32 | 13 | 14 | 27 | 0.844 |
| 2022-23 | Quinnipiac | ECAC-W | SO | 39 | 16 | 15 | 31 | 0.795 |
| 2021-22 | Quinnipiac | ECAC-W | FR | 38 | 7 | 6 | 13 | 0.342 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Rebecca Lindblad | USHS-W · 2013-14 · 1.43 PPG | 0.057 | UConn |
| Suvi Ollikainen | SMLIIGA-W · 2012-13 · 0.32 PPG | 0.151 | St. Cloud State |
| Tianna Gunderson | USHS-MN-W · 2012-13 · 0.79 PPG | 0.069 | Minnesota |
| Renee Saltness | USHS-MN-W · 2012-13 · 0.79 PPG | 0.029 | Quinnipiac |
| Danielle Marmer | NE-Prep-Girls · 2012-13 · 0.39 PPG | 0.000 | Quinnipiac |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Olivia Martin | 2023-24 · 0.88 PPG | 0.500 | Bethel | MIAC |
| Ruby Eskin | 2022-23 · 0.77 PPG | 0.552 | Augsburg | MIAC |
| Ashley Wagenbach | 2022-23 · 0.67 PPG | 0.636 | Wisconsin-Eau Claire | WIAC |
| Lauren VanStone | 2013-14 · 2.73 PPG | 0.160 | Neumann | UCHC |
| Aubrey Hansen | 2023-24 · 1.03 PPG | — | Gustavus Adolphus | 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.