Based on 1 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 | Boston Shamrocks U16 | JWHL-U16 | 24 | 10 | 3 | 13 | 0.542 | 0.1220 | 0.1220 |
| 2018-19 | Boston Shamrocks U16 | JWHL-U16 | 17 | 9 | 7 | 16 | 0.941 | 0.2120 | 0.2120 |
| 2019-20 | Boston Shamrocks U16 | JWHL-U16 | 24 | 10 | 14 | 24 | 1.000 | 0.2252 | 0.2252 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Assumption | NEWHA | SR | 30 | 2 | 2 | 4 | 0.133 |
| 2023-24 | Assumption | NEWHA | JR | 36 | 10 | 6 | 16 | 0.444 |
| 2022-23 | Post | CHA-W | SO | 34 | 9 | 11 | 20 | 0.588 |
| 2022-23 | Post | CHA-W | SO | 15 | 3 | 2 | 5 | 0.333 |
| 2021-22 | Post | CHA-W | FR | 30 | 2 | 5 | 7 | 0.233 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Katie Detert | USHS-W · 2013-14 · 2.50 PPG | 0.000 | St. Cloud State |
| Mariah Gardner | USHS-MN-W · 2012-13 · 1.40 PPG | 0.071 | Minnesota State |
| Abby Halluska | USHS-MN-W · 2013-14 · 1.40 PPG | 0.314 | Bemidji State |
| Gabby Billing | USHS-MN-W · 2013-14 · 1.40 PPG | 0.310 | Dartmouth |
| Charly Dalhquist | USHS-MN-W · 2013-14 · 1.40 PPG | 0.241 | North Dakota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jenna Allen | 2023-24 · 0.93 PPG | 0.586 | Augsburg | MIAC |
| Grace Karakas | 2023-24 · 1.38 PPG | 0.417 | SUNY Cortland | SUNYAC |
| Madison Gaffney | 2015-16 · 0.88 PPG | 0.633 | Hamline | MIAC |
| Victoria Nelson | 2023-24 · 1.15 PPG | 0.480 | St. Scholastica | NCHA |
| Maggie Wohlleber | 2015-16 · 1.40 PPG | — | St. Norbert | NCHA |
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.