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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Fox Cities Stars | USHS-W | 24 | 18 | 16 | 34 | 1.417 | 0.1203 | 0.1203 |
| 2016-17 | — | USHS-W | 26 | 12 | 12 | 24 | 0.923 | 0.0784 | 0.0784 |
| 2018-19 | Fox Cities Stars | USHS-W | 23 | 16 | 26 | 42 | 1.826 | 0.1550 | 0.1550 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | St. Scholastica | NCHA | GR | 23 | 3 | 6 | 9 | 0.391 |
| 2022-23 | St. Scholastica | NCHA | SR | 25 | 4 | 5 | 9 | 0.360 |
| 2021-22 | St. Scholastica | NCHA | JR | 24 | 4 | 9 | 13 | 0.542 |
| 2020-21 | St. Scholastica | NCHA | SO | 16 | 2 | 10 | 12 | 0.750 |
| 2019-20 | St. Scholastica | NCHA | FR | 28 | 5 | 12 | 17 | 0.607 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Molly Strabley | NE-Prep-Girls · 2012-13 · 0.48 PPG | 0.103 | Princeton |
| Katie Detert | USHS-W · 2012-13 · 1.80 PPG | 0.000 | St. Cloud State |
| Ivy Dynek | USHS-W · 2013-14 · 1.78 PPG | 0.000 | St. Cloud State |
| Annie Roche | USHS-W · 2012-13 · 1.88 PPG | 0.000 | Colgate |
| Grace Zumwinkle | USHS-MN-W · 2012-13 · 1.08 PPG | 1.000 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Greer Hardacre | 2023-24 · 1.48 PPG | 0.286 | Saint Benedict | MIAC |
| Ellin Rees | 2023-24 · 0.80 PPG | 0.536 | Norwich | LittleEast |
| Daelyn Williams | 2024-25 · 0.80 PPG | 0.545 | Salem State | MASCAC |
| Drew Kopek | 2022-23 · 1.04 PPG | 0.417 | SUNY Cortland | SUNYAC |
| Ella Tuccitto | 2018-19 · 0.68 PPG | 0.630 | Concordia (WI) | 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.