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 |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Warroad High (W) | USHS-MN-W | 29 | 2 | 4 | 6 | 0.207 | 0.0312 | 0.0338 |
| 2022-23 | Warroad High (W) | USHS-MN-W | 29 | 1 | 6 | 7 | 0.241 | 0.0365 | 0.0378 |
| 2023-24 | Warroad High (W) | USHS-MN-W | 30 | 2 | 7 | 9 | 0.300 | 0.0453 | 0.0450 |
| 2024-25 | Warroad High (W) | USHS-MN-W | 30 | 9 | 13 | 22 | 0.733 | 0.1107 | 0.1058 |
| 2025-26 | Warroad High (W) | USHS-MN-W | 30 | 8 | 19 | 27 | 0.900 | 0.1359 | 0.1245 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2026-27 | Post | NE10 | — | 2 | 0 | 0 | 0 | 0.000 |
| 2026-27 | Post Univ. | — | — | 2 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Suvi Ollikainen | SMLIIGA-W · 2012-13 · 0.32 PPG | 0.151 | St. Cloud State |
| Danielle Marmer | NE-Prep-Girls · 2012-13 · 0.39 PPG | 0.000 | Quinnipiac |
| 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 |
| Kylie Hanley | USHS-MN-W · 2012-13 · 0.84 PPG | 0.143 | Minnesota Duluth |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Harper Poehling | 2024-25 · 1.13 PPG | 0.263 | Wisconsin-Eau Claire | WIAC |
| Abby Reule | 2022-23 · 0.69 PPG | 0.450 | Concordia | MIAC |
| Kate Elbrecht | 2025-26 · 0.75 PPG | — | RPI | ECAC |
| Dani Weiland | 2024-25 · 0.96 PPG | 0.300 | Wisconsin-Stevens Point | WIAC |
| Mollie Koch | 2024-25 · 0.72 PPG | — | Saint Mary's | 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.