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 | BB&N | NE-Prep-Girls | 27 | 0 | 1 | 1 | 0.040 | 0.0130 | 0.0130 |
| 2018-19 | BB&N | NE-Prep-Girls | 26 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2019-20 | BB&N | NE-Prep-Girls | 31 | 2 | 2 | 4 | 0.130 | 0.0422 | 0.0422 |
| 2021-22 | NAHA White 19U AAA | 19U-AAA-W | 45 | 14 | 17 | 31 | 0.689 | 0.2193 | 0.2193 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Brown | ECAC-W | SR | 34 | 1 | 3 | 4 | 0.118 |
| 2024-25 | Brown | ECAC-W | JR | 28 | 0 | 2 | 2 | 0.071 |
| 2023-24 | Brown | ECAC-W | SO | 31 | 2 | 3 | 5 | 0.161 |
| 2022-23 | Ohio State | WCHA-W | FR | 5 | 0 | 1 | 1 | 0.200 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Danielle Marmer | 19U-AAA-W · 2012-13 · 0.70 PPG | 0.108 | Quinnipiac |
| Nicole Guagliardo | USHS-W · 2012-13 · 2.54 PPG | 0.156 | Mercyhurst |
| Katie Detert | USHS-W · 2013-14 · 2.50 PPG | 0.000 | St. Cloud 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 |
| Taylor Lesnar | 2024-25 · 1.50 PPG | 0.357 | St. Norbert | NCHA |
| Erica Schramel | 2015-16 · 1.48 PPG | 0.360 | Wisconsin-River Falls | WIAC |
| Victoria Thorson | 2014-15 · 1.33 PPG | — | Augsburg | MIAC |
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.