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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | North Wright County | USHS-MN-W | 24 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2016-17 | North Wright County | USHS-MN-W | 24 | 0 | 4 | 4 | 0.167 | 0.0252 | 0.0252 |
| 2017-18 | North Wright County | USHS-MN-W | 25 | 4 | 5 | 9 | 0.360 | 0.0544 | 0.0544 |
| 2018-19 | North Wright County | USHS-MN-W | 24 | 1 | 3 | 4 | 0.167 | 0.0252 | 0.0252 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | Nichols | NEHC | SR | 22 | 3 | 2 | 5 | 0.227 |
| 2021-22 | Nichols | NEHC | JR | 25 | 6 | 6 | 12 | 0.480 |
| 2020-21 | Nichols | NEHC | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Nichols | NEHC | FR | 26 | 1 | 8 | 9 | 0.346 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| McKenzie Sederberg | USHS-MN-W · 2012-13 · 0.17 PPG | 0.125 | Minnesota State |
| Serena Sommerfield | NE-Prep-Girls · 2012-13 · 0.08 PPG | 0.000 | Boston College |
| Katarina Seper | USHS-MN-W · 2012-13 · 0.16 PPG | 0.050 | RPI |
| Katie Carlson | USHS-MN-W · 2012-13 · 0.18 PPG | 0.000 | RIT |
| Xylia Lang | USHS-MN-W · 2012-13 · 0.20 PPG | 0.091 | Lindenwood |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Mackenzie Igel-Harris | 2022-23 · 0.14 PPG | — | Lawrence | NCHA |
| Alexis Larsen | 2024-25 · 0.83 PPG | 0.083 | Wisconsin-River Falls | WIAC |
| Astrid Wilbur | 2023-24 · 0.23 PPG | 0.292 | Hood College | UCHC |
| Lexie Weiss | 2013-14 · 1.57 PPG | 0.037 | Wisconsin-Superior | WIAC |
| Kristi Peters | 2013-14 · 0.42 PPG | 0.125 | Manhattanville | UCHC |
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.