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 | NAHA Red 16U | JWHL-U16 | 23 | 10 | 8 | 18 | 0.783 | 0.1762 | 0.1762 |
| 2019-20 | NAHA White 19U AAA | JWHL-U19 | 18 | 12 | 3 | 15 | 0.833 | 0.3234 | 0.3234 |
| 2025-26 | RoKi | SMLIIGA-W | 23 | 5 | 3 | 8 | 0.348 | 0.1353 | 0.1253 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | SUNY Plattsburgh | SUNYAC | GR | 28 | 7 | 8 | 15 | 0.536 |
| 2023-24 | SUNY Plattsburgh | SUNYAC | SR | 21 | 4 | 4 | 8 | 0.381 |
| 2022-23 | SUNY Plattsburgh | SUNYAC | JR | 28 | 15 | 13 | 28 | 1.000 |
| 2021-22 | SUNY Plattsburgh | SUNYAC | SO | 29 | 14 | 12 | 26 | 0.897 |
| 2020-21 | SUNY Plattsburgh | SUNYAC | FR | 0 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Suvi Ollikainen | SMLIIGA-W · 2012-13 · 0.32 PPG | 0.151 | St. Cloud State |
| Danielle Marmer | NE-Prep-Girls · 2012-13 · 0.39 PPG | 0.000 | Quinnipiac |
| Holly Dietzler | USHS-MN-W · 2012-13 · 0.84 PPG | 0.108 | Lindenwood |
| Jessica Bonfe | USHS-MN-W · 2012-13 · 0.84 PPG | 0.206 | Merrimack |
| Kylie Hanley | USHS-MN-W · 2012-13 · 0.84 PPG | 0.143 | Minnesota Duluth |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Ann-Frédérique Guay | 2024-25 · 0.31 PPG | 1.103 | Norwich | NEHC |
| Meg Aiken | 2025-26 · 0.64 PPG | 0.476 | Castleton | NEHC |
| Megan Delay | 2021-22 · 0.50 PPG | 0.458 | SUNY Plattsburgh | SUNYAC |
| Olivia Stewart | 2025-26 · 0.34 PPG | 0.519 | Southern Maine | NEHC |
| Sydnee Chaisson | 2025-26 · 0.55 PPG | 0.250 | Southern Maine | NEHC |
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.