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 |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Academy of Holy Angels (W) | USHS-MN-W | 15 | 3 | 5 | 8 | 0.533 | 0.0805 | 0.0805 |
| 2021-22 | Academy of Holy Angels (W) | USHS-MN-W | 28 | 10 | 12 | 22 | 0.786 | 0.1186 | 0.1186 |
| 2022-23 | Academy of Holy Angels (W) | USHS-MN-W | 26 | 7 | 18 | 25 | 0.962 | 0.1452 | 0.1416 |
| 2023-24 | Academy of Holy Angels (W) | USHS-MN-W | 30 | 11 | 19 | 30 | 1.000 | 0.1510 | 0.1410 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Olaf | MIAC | SO | 25 | 6 | 2 | 8 | 0.320 |
| 2024-25 | St. Olaf | MIAC | FR | 17 | 2 | 2 | 4 | 0.235 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Carly Bullock | USHS-MN-W · 2012-13 · 0.92 PPG | 0.812 | Princeton |
| Emily Antony | USHS-MN-W · 2012-13 · 0.92 PPG | 0.444 | Minnesota State |
| Vilma Tanskanen | SMLIIGA-W · 2012-13 · 0.35 PPG | 0.182 | North Dakota |
| Lydia Passolt | USHS-MN-W · 2012-13 · 0.89 PPG | 0.095 | Bemidji State |
| Ivy Dynek | USHS-W · 2013-14 · 1.78 PPG | 0.000 | St. Cloud State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Afton Hulke | 2023-24 · 1.11 PPG | 0.308 | Bethel | MIAC |
| Abby Skelly | 2024-25 · 0.93 PPG | 0.360 | Wisconsin-Stevens Point | WIAC |
| McKenna Sandberg | 2022-23 · 1.23 PPG | 0.280 | Wisconsin-Eau Claire | WIAC |
| Kayleigh Olson | 2024-25 · 2.08 PPG | 0.167 | Gustavus Adolphus | MIAC |
| Addison Seleski | 2024-25 · 1.04 PPG | 0.323 | Wisconsin-River Falls | 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.