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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Mahtomedi High | USHS-MN-W | 25 | 0 | 1 | 1 | 0.040 | 0.0060 | 0.0060 |
| 2017-18 | Mahtomedi High | USHS-MN-W | 26 | 8 | 11 | 19 | 0.731 | 0.1104 | 0.1104 |
| 2018-19 | Mahtomedi High | USHS-MN-W | 25 | 7 | 3 | 10 | 0.400 | 0.0604 | 0.0604 |
| 2019-20 | Mahtomedi High | USHS-MN-W | 25 | 16 | 18 | 34 | 1.360 | 0.2054 | 0.2054 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Hamline | MIAC | GR | 26 | 6 | 7 | 13 | 0.500 |
| 2023-24 | Hamline | MIAC | SR | 23 | 9 | 10 | 19 | 0.826 |
| 2022-23 | Hamline | MIAC | JR | 24 | 5 | 7 | 12 | 0.500 |
| 2021-22 | Hamline | MIAC | SO | 17 | 1 | 1 | 2 | 0.118 |
| 2020-21 | Hamline | MIAC | FR | 6 | 4 | 0 | 4 | 0.667 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sierra Smith | USHS-MN-W · 2012-13 · 0.40 PPG | 0.000 | Minnesota |
| Rose Rather | NE-Prep-Girls · 2012-13 · 0.20 PPG | 0.824 | Holy Cross |
| Taylor Heise | USHS-MN-W · 2012-13 · 0.36 PPG | 0.897 | Minnesota |
| Laura Anderson | USHS-MN-W · 2012-13 · 0.34 PPG | 0.290 | Yale |
| Presley Norby | USHS-MN-W · 2012-13 · 0.33 PPG | 0.525 | Wisconsin |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Emma Halweg | 2022-23 · 0.36 PPG | — | Saint Benedict | MIAC |
| Nora McConnell | 2023-24 · 0.39 PPG | 0.385 | St. Olaf | MIAC |
| Merrill Delich | 2023-24 · 0.28 PPG | 0.500 | Saint Benedict | MIAC |
| Kelsi Ries | 2023-24 · 0.89 PPG | 0.158 | Augsburg | MIAC |
| Anika Fortin | 2024-25 · 0.53 PPG | 0.278 | St. Norbert | 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.