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 | South St. Paul High (W) | USHS-MN-W | 21 | 0 | 2 | 2 | 0.095 | 0.0144 | 0.0144 |
| 2016-17 | South St. Paul High (W) | USHS-MN-W | 25 | 3 | 7 | 10 | 0.400 | 0.0604 | 0.0604 |
| 2017-18 | South St. Paul High (W) | USHS-MN-W | 26 | 3 | 12 | 15 | 0.577 | 0.0871 | 0.0871 |
| 2018-19 | South St. Paul High (W) | USHS-MN-W | 25 | 7 | 12 | 19 | 0.760 | 0.1148 | 0.1148 |
| 2019-20 | South St. Paul High (W) | USHS-MN-W | 25 | 16 | 11 | 27 | 1.080 | 0.1631 | 0.1631 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2021-22 | Saint Benedict | MIAC | SO | 23 | 5 | 4 | 9 | 0.391 |
| 2020-21 | Saint Benedict | MIAC | FR | 9 | 4 | 1 | 5 | 0.556 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Janna Haeg | USHS-MN-W · 2012-13 · 0.76 PPG | 0.303 | St. Cloud State |
| Kendall Williamson | USHS-MN-W · 2012-13 · 0.76 PPG | 0.000 | Colgate |
| Nicole Rash | USHS-MN-W · 2012-13 · 0.76 PPG | 0.000 | Lindenwood |
| Sofia Poinar | USHS-MN-W · 2012-13 · 0.76 PPG | 0.028 | Minnesota State |
| Rebecca Lindblad | USHS-W · 2013-14 · 1.43 PPG | 0.057 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Charlotte Bellmont | 2024-25 · 0.69 PPG | — | Saint Benedict | MIAC |
| Macy Peterson | 2022-23 · 0.93 PPG | 0.296 | Hamline | MIAC |
| Tallulah Bryant | 2022-23 · 1.00 PPG | 0.273 | Lake Forest | NCHA |
| 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.