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 | Chaska/Chanhassen | USHS-MN-W | 25 | 4 | 12 | 16 | 0.640 | 0.0966 | 0.0966 |
| 2019-20 | Chaska/Chanhassen | USHS-MN-W | 24 | 10 | 9 | 19 | 0.792 | 0.1195 | 0.1195 |
| 2020-21 | Chaska/Chanhassen | USHS-MN-W | 16 | 5 | 1 | 6 | 0.375 | 0.0566 | 0.0566 |
| 2021-22 | Chaska/Chanhassen | USHS-MN-W | 23 | 10 | 10 | 20 | 0.870 | 0.1313 | 0.1313 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Michael's College | NEWHA | SR | 34 | 0 | 6 | 6 | 0.176 |
| 2024-25 | St. Michael's College | NEWHA | JR | 36 | 2 | 2 | 4 | 0.111 |
| 2023-24 | St. Michael's College | NEWHA | SO | 36 | 3 | 4 | 7 | 0.194 |
| 2022-23 | St. Michael's College | NEWHA | FR | 29 | 3 | 4 | 7 | 0.241 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Amanda Bäckebo | SDHL · 2012-13 · 0.11 PPG | 0.056 | Syracuse |
| Lydia Passolt | USHS-MN-W · 2012-13 · 0.89 PPG | 0.095 | Bemidji State |
| Vilma Tanskanen | SMLIIGA-W · 2012-13 · 0.35 PPG | 0.182 | North Dakota |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jana Lesch | 2023-24 · 1.44 PPG | 0.222 | Wisconsin-Eau Claire | WIAC |
| Sam Mugge | 2015-16 · 0.80 PPG | — | Wisconsin-Superior | WIAC |
| Abby Reule | 2022-23 · 0.69 PPG | 0.450 | Concordia | MIAC |
| Alyson Vogelsang | 2023-24 · 0.81 PPG | — | St. Catherine | MIAC |
| Brooke Klemz | 2023-24 · 1.15 PPG | 0.280 | 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.