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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Croix Valley Fusion | USHS-W | 24 | 2 | 6 | 8 | 0.333 | 0.0283 | 0.0283 |
| 2017-18 | St. Croix Valley Fusion | USHS-W | 24 | 6 | 9 | 15 | 0.625 | 0.0531 | 0.0531 |
| 2018-19 | St. Croix Valley Fusion | USHS-W | 24 | 11 | 2 | 13 | 0.542 | 0.0460 | 0.0460 |
| 2019-20 | St. Croix Valley Fusion | USHS-W | 24 | 6 | 9 | 15 | 0.625 | 0.0531 | 0.0531 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Marian | NCHA | SR | 23 | 1 | 2 | 3 | 0.130 |
| 2022-23 | Marian | NCHA | JR | 8 | 0 | 1 | 1 | 0.125 |
| 2021-22 | Marian | NCHA | SO | 26 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Marian | NCHA | FR | 12 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Ellie Larson | USHS-MN-W · 2012-13 · 0.30 PPG | 0.143 | RIT |
| Sylvie Wallin | USHS-MN-W · 2012-13 · 0.28 PPG | 0.333 | Princeton |
| Kate Glover | USHS-MN-W · 2012-13 · 0.35 PPG | 0.167 | Harvard |
| Lauren Niska | USHS-MN-W · 2012-13 · 0.36 PPG | 0.000 | Minnesota Duluth |
| Brinna Dochniak | USHS-MN-W · 2012-13 · 0.24 PPG | 0.111 | RIT |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Amanda Smythe | 2024-25 · 1.16 PPG | 0.105 | Wisconsin-River Falls | WIAC |
| Kaitlin Roberts | 2023-24 · 0.31 PPG | — | Gustavus Adolphus | MIAC |
| Kellsey Kludt | 2024-25 · 0.68 PPG | 0.200 | St. Olaf | MIAC |
| Madison McCullough | 2022-23 · 0.32 PPG | — | Wisconsin-Superior | WIAC |
| Karin Knapp | 2015-16 · 0.29 PPG | — | 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.