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 |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Newbridge Academy U14 | JWHL-U19 | 5 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2018-19 | Newbridge Academy U14 | JWHL-U19 | 10 | 1 | 2 | 3 | 0.300 | 0.1164 | 0.1164 |
| 2019-20 | OHA Mavericks Prep U18 | CAHS-W | 52 | 7 | 9 | 16 | 0.308 | 0.1104 | 0.1104 |
| 2021-22 | Ontario Hockey Acad Juniors | OWHL-U22 | 47 | 1 | 11 | 12 | 0.255 | 0.0894 | 0.0894 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Potsdam | SUNYAC | SR | 25 | 2 | 1 | 3 | 0.120 |
| 2024-25 | SUNY Potsdam | SUNYAC | JR | 21 | 0 | 2 | 2 | 0.095 |
| 2023-24 | SUNY Potsdam | SUNYAC | SO | 24 | 0 | 1 | 1 | 0.042 |
| 2022-23 | SUNY Potsdam | SUNYAC | FR | 25 | 0 | 2 | 2 | 0.080 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Liz Trautz | USHS-MN-W · 2012-13 · 0.60 PPG | 0.094 | Colgate |
| Rebecca Lindblad | USHS-W · 2012-13 · 1.08 PPG | 0.057 | UConn |
| Madison Oelkers | USHS-MN-W · 2012-13 · 0.61 PPG | 0.257 | Minnesota State |
| Sierra Semmel | NE-Prep-Girls · 2012-13 · 0.26 PPG | 0.000 | Maine |
| Erin Meyers | USHS-MN-W · 2012-13 · 0.62 PPG | 0.897 | Saint Anselm |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jana Lesch | 2023-24 · 1.44 PPG | 0.222 | Wisconsin-Eau Claire | WIAC |
| Alyson Vogelsang | 2023-24 · 0.81 PPG | — | St. Catherine | MIAC |
| Sam Mugge | 2015-16 · 0.80 PPG | — | Wisconsin-Superior | WIAC |
| Brooke Klemz | 2023-24 · 1.15 PPG | 0.280 | Hamline | MIAC |
| Abby Reule | 2022-23 · 0.69 PPG | 0.450 | Concordia | 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.