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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Duluth Marshall School (W) | USHS-MN-W | 23 | 1 | 0 | 1 | 0.043 | 0.0066 | 0.0066 |
| 2020-21 | Duluth Marshall School (W) | USHS-MN-W | 19 | 6 | 8 | 14 | 0.737 | 0.1113 | 0.1113 |
| 2021-22 | Duluth Marshall School (W) | USHS-MN-W | 24 | 15 | 10 | 25 | 1.042 | 0.1573 | 0.1573 |
| 2022-23 | Duluth Marshall School (W) | USHS-MN-W | 28 | 29 | 25 | 54 | 1.929 | 0.2912 | 0.2895 |
| 2023-24 | Duluth Marshall School (W) | USHS-MN-W | 27 | 24 | 17 | 41 | 1.518 | 0.2293 | 0.2184 |
| 2024-25 | North Shore Storm | USHS-MN-W | 26 | 36 | 30 | 66 | 2.538 | 0.3833 | 0.3503 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hamline | MIAC | FR | 28 | 16 | 10 | 26 | 0.929 |
| 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.