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 | Ilves | SMLIIGA-W | 1 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2019-20 | Ilves | SMLIIGA-W | 29 | 3 | 4 | 7 | 0.241 | 0.0939 | 0.0939 |
| 2020-21 | Team Kuortane | SMLIIGA-W | 17 | 1 | 1 | 2 | 0.118 | 0.0457 | 0.0457 |
| 2021-22 | Team Kuortane | SMLIIGA-W | 26 | 1 | 2 | 3 | 0.115 | 0.0449 | 0.0449 |
| 2022-23 | Team Kuortane | SMLIIGA-W | 36 | 3 | 4 | 7 | 0.194 | 0.0756 | 0.0756 |
| 2023-24 | Team Kuortane | SMLIIGA-W | 32 | 1 | 2 | 3 | 0.094 | 0.0365 | 0.0365 |
| 2024-25 | Team Kuortane | SMLIIGA-W | 32 | 13 | 12 | 25 | 0.781 | 0.3038 | 0.3038 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Merrimack | HEA-W | FR | 35 | 5 | 4 | 9 | 0.257 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Emily Bergland | USHS-MN-W · 2013-14 · 2.04 PPG | 0.114 | Bemidji State |
| Lindsay Roethke | USHS-MN-W · 2012-13 · 1.96 PPG | 0.027 | UConn |
| Catherine Skaja | USHS-MN-W · 2012-13 · 2.08 PPG | 0.342 | Minnesota |
| Rebekah Kolstad | USHS-MN-W · 2012-13 · 2.09 PPG | 0.057 | North Dakota |
| Sylvia Marolt | USHS-MN-W · 2012-13 · 2.12 PPG | 0.000 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Marta Mazzocchi | 2022-23 · 0.90 PPG | 0.727 | Trinity | NESCAC |
| Annie Buttermore | 2010-11 · 1.21 PPG | 0.560 | St. Catherine | MIAC |
| Erica Schramel | 2014-15 · 1.88 PPG | 0.360 | Wisconsin-River Falls | WIAC |
| Shelby Johnson | 2010-11 · 1.69 PPG | 0.400 | Salve Regina | NEHC |
| Samantha Pool | 2021-22 · 0.85 PPG | 0.800 | 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.