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 | Minnesota River High (W) | USHS-MN-W | 25 | 3 | 1 | 4 | 0.160 | 0.0242 | 0.0242 |
| 2017-18 | Minnesota River High (W) | USHS-MN-W | 25 | 8 | 7 | 15 | 0.600 | 0.0906 | 0.0906 |
| 2018-19 | Minnesota River High (W) | USHS-MN-W | 25 | 15 | 13 | 28 | 1.120 | 0.1691 | 0.1691 |
| 2019-20 | Minnesota River High (W) | USHS-MN-W | 25 | 27 | 21 | 48 | 1.920 | 0.2899 | 0.2899 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | Concordia | MIAC | FR | 25 | 0 | 2 | 2 | 0.080 |
| 2021-22 | St. Scholastica | NCHA | SO | 6 | 0 | 0 | 0 | 0.000 |
| 2020-21 | St. Scholastica | NCHA | FR | 10 | 0 | 4 | 4 | 0.400 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Liz Schepers | USHS-MN-W · 2012-13 · 1.12 PPG | 0.410 | Ohio State |
| Paige Beebe | USHS-MN-W · 2013-14 · 1.12 PPG | 0.472 | Bemidji State |
| Sofia Poinar | USHS-MN-W · 2013-14 · 1.12 PPG | 0.028 | Minnesota State |
| Mallorie Iozzo | USHS-MN-W · 2013-14 · 1.12 PPG | 0.069 | Minnesota Duluth |
| Andrea Renner | USHS-W · 2013-14 · 2.00 PPG | 0.167 | Northeastern |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Malia Mckinnon | 2022-23 · 1.19 PPG | 0.346 | Bethel | MIAC |
| Sophie Smith | 2024-25 · 1.04 PPG | 0.393 | Lake Forest | NCHA |
| Greer Hardacre | 2023-24 · 1.48 PPG | 0.286 | Saint Benedict | MIAC |
| JennaRae Bateman | 2021-22 · 0.92 PPG | 0.444 | Worcester State | MASCAC |
| Diana Draayer | 2011-12 · 0.76 PPG | 0.538 | Gustavus Adolphus | 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.