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 | River Cities Blades (women) | USHS-MN-W | 24 | 1 | 6 | 7 | 0.292 | 0.0440 | 0.0440 |
| 2019-20 | River Cities Blades (women) | USHS-MN-W | 25 | 9 | 15 | 24 | 0.960 | 0.1450 | 0.1450 |
| 2020-21 | River Cities Blades (women) | USHS-MN-W | 19 | 7 | 4 | 11 | 0.579 | 0.0874 | 0.0874 |
| 2021-22 | River Cities Blades (women) | USHS-MN-W | 27 | 16 | 23 | 39 | 1.444 | 0.2181 | 0.2181 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Olaf | MIAC | SR | 25 | 12 | 3 | 15 | 0.600 |
| 2024-25 | St. Olaf | MIAC | JR | 26 | 9 | 10 | 19 | 0.731 |
| 2023-24 | St. Olaf | MIAC | SO | 24 | 14 | 9 | 23 | 0.958 |
| 2022-23 | St. Olaf | MIAC | FR | 26 | 13 | 6 | 19 | 0.731 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Danielle Marmer | 19U-AAA-W · 2012-13 · 0.70 PPG | 0.108 | Quinnipiac |
| Jacqueline Kaasa | USHS-MN-W · 2013-14 · 1.46 PPG | 0.143 | Bemidji State |
| Aly Tremblay | USHS-W · 2012-13 · 2.61 PPG | 0.030 | RPI |
| Mariah Gardner | USHS-MN-W · 2012-13 · 1.40 PPG | 0.071 | Minnesota State |
| Abby Halluska | USHS-MN-W · 2013-14 · 1.40 PPG | 0.314 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Ellie Newpower | 2023-24 · 0.79 PPG | 0.679 | Hamline | MIAC |
| Jenna Allen | 2023-24 · 0.93 PPG | 0.586 | Augsburg | MIAC |
| Mia Montanari | 2024-25 · 1.08 PPG | 0.500 | RPI | ECAC |
| Flora Pasztor | 2025-26 · 1.35 PPG | — | Post | NE10 |
| McKenzie Keller | 2022-23 · 2.21 PPG | 0.238 | Wisconsin-Eau Claire | 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.