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 | Laval-MTL Amazones M18 AAA | QMAAA-W | 28 | 4 | 0 | 4 | 0.143 | 0.0209 | 0.0211 |
| 2019-20 | Lac St-Louis Warriors M18 AAA(W) | QMAAA-W | 24 | 5 | 10 | 15 | 0.625 | 0.0913 | 0.0913 |
| 2020-21 | Dawson College Blues | QCHL-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Dawson College Blues | QCHL-W | 20 | 4 | 3 | 7 | 0.350 | 0.0950 | 0.0949 |
| 2022-23 | Dawson College Blues | QCHL-W | 16 | 7 | 6 | 13 | 0.812 | 0.2205 | 0.2057 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Harvard | ECAC-W | JR | 34 | 7 | 7 | 14 | 0.412 |
| 2024-25 | Harvard | ECAC-W | SO | 29 | 2 | 1 | 3 | 0.103 |
| 2023-24 | Harvard | ECAC-W | FR | 29 | 1 | 5 | 6 | 0.207 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sena Hanson | USHS-MN-W · 2012-13 · 1.36 PPG | 0.630 | Brown |
| Savannah Quandt | USHS-MN-W · 2012-13 · 1.36 PPG | 0.111 | Minnesota |
| Casey Leveillee | NE-Prep-Girls · 2012-13 · 0.63 PPG | 0.265 | Vermont |
| Sylvia Marolt | USHS-MN-W · 2013-14 · 1.35 PPG | 0.000 | Bemidji State |
| Natalie Snodgrass | USHS-MN-W · 2013-14 · 1.33 PPG | 1.000 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Erin Olson | 2016-17 · 1.08 PPG | 0.640 | Wisconsin-River Falls | WIAC |
| Sierra Alarid | 2012-13 · 3.69 PPG | 0.188 | Post | CHA-W |
| Delaney Carle | 2016-17 · 2.00 PPG | 0.346 | Nazareth | UCHC |
| Ella Olson | 2021-22 · 0.90 PPG | 0.769 | Augsburg | MIAC |
| Madison Davis | 2015-16 · 0.72 PPG | 0.962 | Hamline | 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.