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 | North Wright County | USHS-MN-W | 24 | 3 | 6 | 9 | 0.375 | 0.0566 | 0.0566 |
| 2017-18 | North Wright County | USHS-MN-W | 25 | 12 | 17 | 29 | 1.160 | 0.1752 | 0.1752 |
| 2018-19 | North Wright County | USHS-MN-W | 25 | 34 | 24 | 58 | 2.320 | 0.3503 | 0.3503 |
| 2019-20 | North Wright County | USHS-MN-W | 25 | 16 | 18 | 34 | 1.360 | 0.2054 | 0.2054 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Hamline | MIAC | SR | 26 | 13 | 13 | 26 | 1.000 |
| 2022-23 | Hamline | MIAC | JR | 27 | 5 | 3 | 8 | 0.296 |
| 2021-22 | Hamline | MIAC | SO | 24 | 3 | 1 | 4 | 0.167 |
| 2020-21 | Hamline | MIAC | FR | 6 | 0 | 3 | 3 | 0.500 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Brittany Wheeler | USHS-MN-W · 2012-13 · 2.32 PPG | 0.111 | Yale |
| Rebekah Kolstad | USHS-MN-W · 2013-14 · 2.32 PPG | 0.057 | North Dakota |
| Brooklynn Schugel | USHS-MN-W · 2013-14 · 2.26 PPG | 0.270 | Minnesota Duluth |
| Lauren Hespenheide | USHS-MN-W · 2012-13 · 2.40 PPG | 0.257 | St. Cloud State |
| Corbin Boyd | USHS-MN-W · 2013-14 · 2.42 PPG | 0.269 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Samantha Young | 2016-17 · 1.86 PPG | 0.455 | Wisconsin-River Falls | WIAC |
| Brynn Puppe | 2016-17 · 1.52 PPG | 0.560 | Williams | NESCAC |
| Mollie Johnson | 2012-13 · 2.13 PPG | — | Neumann | UCHC |
| Amber Heidenreich | 2015-16 · 1.71 PPG | 0.500 | Wisconsin-Superior | WIAC |
| Ella Olson | 2022-23 · 1.11 PPG | 0.769 | 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.