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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Benilde-St. Margaret's (W) | USHS-MN-W | 25 | 5 | 6 | 11 | 0.440 | 0.0664 | 0.0664 |
| 2019-20 | Benilde-St. Margaret's (W) | USHS-MN-W | 25 | 3 | 11 | 14 | 0.560 | 0.0846 | 0.0846 |
| 2020-21 | Benilde-St. Margaret's (W) | USHS-MN-W | 18 | 5 | 4 | 9 | 0.500 | 0.0755 | 0.0755 |
| 2021-22 | Benilde-St. Margaret's (W) | USHS-MN-W | 28 | 12 | 11 | 23 | 0.821 | 0.1240 | 0.1240 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Gustavus Adolphus | MIAC | SR | 28 | 11 | 17 | 28 | 1.000 |
| 2024-25 | Gustavus Adolphus | MIAC | JR | 28 | 22 | 24 | 46 | 1.643 |
| 2023-24 | Gustavus Adolphus | MIAC | SO | 22 | 1 | 11 | 12 | 0.545 |
| 2022-23 | Gustavus Adolphus | MIAC | FR | 30 | 13 | 13 | 26 | 0.867 |
| 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 |
| Rebecca Lindblad | USHS-W · 2013-14 · 1.43 PPG | 0.057 | UConn |
| 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 |
| 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 |
| Dani Weiland | 2024-25 · 0.96 PPG | 0.300 | Wisconsin-Stevens Point | WIAC |
| Mollie Koch | 2024-25 · 0.72 PPG | — | Saint Mary's | MIAC |
| Jana Lesch | 2023-24 · 1.44 PPG | 0.222 | Wisconsin-Eau Claire | WIAC |
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.