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 |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Roseville High | USHS-MN-W | 25 | 3 | 3 | 6 | 0.240 | 0.0362 | 0.0362 |
| 2018-19 | Roseville High | USHS-MN-W | 25 | 4 | 6 | 10 | 0.400 | 0.0604 | 0.0604 |
| 2019-20 | Roseville High | USHS-MN-W | 25 | 8 | 14 | 22 | 0.880 | 0.1329 | 0.1329 |
| 2020-21 | Roseville High | USHS-MN-W | 17 | 12 | 12 | 24 | 1.412 | 0.2132 | 0.2132 |
| 2021-22 | Roseville High | USHS-MN-W | 27 | 25 | 18 | 43 | 1.593 | 0.2405 | 0.2405 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Augsburg | MIAC | SR | 26 | 11 | 9 | 20 | 0.769 |
| 2024-25 | Augsburg | MIAC | JR | 29 | 2 | 11 | 13 | 0.448 |
| 2023-24 | St. Thomas | CHA-W | SO | 13 | 0 | 1 | 1 | 0.077 |
| 2022-23 | St. Thomas | CHA-W | FR | 19 | 1 | 4 | 5 | 0.263 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Brooke Madsen | USHS-MN-W · 2012-13 · 1.60 PPG | 0.600 | Penn State |
| Lydia Passolt | USHS-MN-W · 2013-14 · 1.60 PPG | 0.095 | Bemidji State |
| Kiki Radke | USHS-MN-W · 2012-13 · 1.58 PPG | 0.273 | Bemidji State |
| Sophia Kunin | USHS-MN-W · 2013-14 · 1.62 PPG | 0.425 | Wisconsin |
| Sara Hjalmarsson | SDHL · 2012-13 · 0.20 PPG | 0.657 | Providence |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Abigail Chamernick | 2022-23 · 1.17 PPG | 0.500 | Hamline | MIAC |
| Grace Karakas | 2023-24 · 1.38 PPG | 0.417 | SUNY Cortland | SUNYAC |
| Emily Heid | 2013-14 · 1.00 PPG | 0.593 | Wisconsin-Superior | WIAC |
| Ellie Patrick | 2022-23 · 0.92 PPG | 0.636 | Keene State | NEHC |
| Jillian Bilsborough | 2021-22 · 1.21 PPG | 0.481 | Aurora | 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.