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 |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Benilde-St. Margaret's (W) | USHS-MN-W | 25 | 1 | 1 | 2 | 0.080 | 0.0121 | 0.0121 |
| 2015-16 | Benilde-St. Margaret's (W) | USHS-MN-W | 24 | 0 | 4 | 4 | 0.167 | 0.0252 | 0.0252 |
| 2016-17 | Benilde-St. Margaret's (W) | USHS-MN-W | 25 | 6 | 9 | 15 | 0.600 | 0.0906 | 0.0906 |
| 2017-18 | Benilde-St. Margaret's (W) | USHS-MN-W | 25 | 11 | 13 | 24 | 0.960 | 0.1450 | 0.1450 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2021-22 | Hamline | MIAC | FR | 22 | 8 | 6 | 14 | 0.636 |
| 2020-21 | Saint Anselm | NEWHA | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Saint Anselm | NEWHA | SO | 33 | 5 | 10 | 15 | 0.455 |
| 2018-19 | Saint Anselm | NEWHA | FR | 29 | 8 | 16 | 24 | 0.828 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Ivy Dynek | USHS-W · 2013-14 · 1.78 PPG | 0.000 | St. Cloud State |
| Carly Bullock | USHS-MN-W · 2012-13 · 0.92 PPG | 0.812 | Princeton |
| Emily Antony | USHS-MN-W · 2012-13 · 0.92 PPG | 0.444 | Minnesota State |
| Katie Detert | USHS-W · 2012-13 · 1.80 PPG | 0.000 | St. Cloud State |
| Vilma Tanskanen | SMLIIGA-W · 2012-13 · 0.35 PPG | 0.182 | North Dakota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Shelby Evans | 2024-25 · 0.89 PPG | — | St. Scholastica | NCHA |
| Andrea Noss | 2013-14 · 0.52 PPG | 0.667 | SUNY Oswego | SUNYAC |
| Adrienne Hansen | 2023-24 · 0.70 PPG | 0.481 | Wisconsin-Eau Claire | WIAC |
| Lauren Schmidt | 2024-25 · 1.00 PPG | 0.333 | St. Catherine | MIAC |
| Amber Meluzio | 2024-25 · 0.79 PPG | 0.464 | Elmira | 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.