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 |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Henry Sibley High | USHS-MN-W | 24 | 10 | 5 | 15 | 0.625 | 0.0944 | 0.0944 |
| 2015-16 | Cretin-Derham Hall (women) | USHS-MN-W | 25 | 10 | 12 | 22 | 0.880 | 0.1329 | 0.1329 |
| 2016-17 | Cretin-Derham Hall (women) | USHS-MN-W | 25 | 9 | 7 | 16 | 0.640 | 0.0966 | 0.0966 |
| 2017-18 | Cretin-Derham Hall (women) | USHS-MN-W | 25 | 12 | 10 | 22 | 0.880 | 0.1329 | 0.1329 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2021-22 | Saint Anselm | NEWHA | SR | 29 | 10 | 20 | 30 | 1.034 |
| 2020-21 | Saint Anselm | NEWHA | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Saint Anselm | NEWHA | SO | 33 | 7 | 9 | 16 | 0.485 |
| 2018-19 | Saint Anselm | NEWHA | FR | 29 | 7 | 19 | 26 | 0.897 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Amanda Bäckebo | SDHL · 2012-13 · 0.11 PPG | 0.056 | Syracuse |
| Carly Bullock | USHS-MN-W · 2012-13 · 0.92 PPG | 0.812 | Princeton |
| Emily Antony | USHS-MN-W · 2012-13 · 0.92 PPG | 0.444 | Minnesota State |
| 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 |
| Alyson Vogelsang | 2023-24 · 0.81 PPG | — | St. Catherine | MIAC |
| 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.