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 | Faribault High (W) | USHS-MN-W | 22 | 7 | 16 | 23 | 1.046 | 0.1579 | 0.1579 |
| 2020-21 | Northfield High (W) | USHS-MN-W | 17 | 11 | 13 | 24 | 1.412 | 0.2132 | 0.2132 |
| 2021-22 | Northfield High (W) | USHS-MN-W | 29 | 8 | 17 | 25 | 0.862 | 0.1302 | 0.1302 |
| 2022-23 | Northfield High (W) | USHS-MN-W | 27 | 8 | 35 | 43 | 1.593 | 0.2405 | 0.2405 |
| 2023-24 | Northfield High (W) | USHS-MN-W | 30 | 20 | 29 | 49 | 1.633 | 0.2466 | 0.2466 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ohio State | WCHA-W | SO | 37 | 1 | 1 | 2 | 0.054 |
| 2024-25 | Ohio State | WCHA-W | FR | 30 | 0 | 5 | 5 | 0.167 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Taylor Marchin | NE-Prep-Girls · 2012-13 · 0.77 PPG | 0.207 | Yale |
| Erin O'Connor | USHS-W · 2012-13 · 2.85 PPG | 0.758 | Cornell |
| Lauren Kelly | NE-Prep-Girls · 2012-13 · 0.73 PPG | 0.208 | Dartmouth |
| Dani Sadek | USHS-MN-W · 2012-13 · 1.46 PPG | 0.611 | Ohio State |
| Anna Wright | NE-Prep-Girls · 2012-13 · 0.86 PPG | 0.000 | Maine |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Emily Heid | 2013-14 · 1.00 PPG | 0.593 | Wisconsin-Superior | WIAC |
| Abigail Chamernick | 2022-23 · 1.17 PPG | 0.500 | Hamline | MIAC |
| Grace Karakas | 2023-24 · 1.38 PPG | 0.417 | SUNY Cortland | SUNYAC |
| Tia Lascelle | 2021-22 · 0.67 PPG | 0.893 | Adrian | NCHA |
| Jenna Curtis | 2013-14 · 2.68 PPG | 0.222 | Wisconsin-Superior | WIAC |
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.