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 | Crookston High | USHS-MN-W | 25 | 4 | 10 | 14 | 0.560 | 0.0846 | 0.0846 |
| 2018-19 | Crookston High | USHS-MN-W | 23 | 4 | 4 | 8 | 0.348 | 0.0525 | 0.0525 |
| 2019-20 | Crookston High | USHS-MN-W | 23 | 4 | 2 | 6 | 0.261 | 0.0394 | 0.0394 |
| 2020-21 | Crookston High | USHS-MN-W | 19 | 2 | 5 | 7 | 0.368 | 0.0556 | 0.0556 |
| 2021-22 | Crookston High | USHS-MN-W | 26 | 11 | 15 | 26 | 1.000 | 0.1510 | 0.1510 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Trine | NCHA | SR | 27 | 4 | 2 | 6 | 0.222 |
| 2024-25 | Trine | NCHA | JR | 24 | 1 | 1 | 2 | 0.083 |
| 2022-23 | Trine | NCHA | SO | 7 | 1 | 4 | 5 | 0.714 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Ivy Dynek | USHS-W · 2013-14 · 1.78 PPG | 0.000 | St. Cloud State |
| Katie Detert | USHS-W · 2012-13 · 1.80 PPG | 0.000 | St. Cloud State |
| Molly Strabley | NE-Prep-Girls · 2012-13 · 0.48 PPG | 0.103 | Princeton |
| 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 |
|---|---|---|---|---|
| Amber Meluzio | 2024-25 · 0.79 PPG | 0.464 | Elmira | UCHC |
| Shelby Evans | 2024-25 · 0.89 PPG | — | St. Scholastica | NCHA |
| Cara Cook | 2022-23 · 1.12 PPG | 0.333 | Aurora | NCHA |
| Andrea Noss | 2013-14 · 0.52 PPG | 0.667 | SUNY Oswego | SUNYAC |
| Diana Draayer | 2013-14 · 0.68 PPG | 0.538 | Gustavus Adolphus | 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.