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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Minneapolis High (W) | USHS-MN-W | 24 | 7 | 11 | 18 | 0.750 | 0.1132 | 0.1132 |
| 2019-20 | Minneapolis High (W) | USHS-MN-W | 25 | 4 | 13 | 17 | 0.680 | 0.1027 | 0.1027 |
| 2020-21 | Minneapolis High (W) | USHS-MN-W | 18 | 6 | 11 | 17 | 0.944 | 0.1426 | 0.1426 |
| 2021-22 | Minneapolis High (W) | USHS-MN-W | 26 | 14 | 19 | 33 | 1.269 | 0.1916 | 0.1916 |
| 2022-23 | Minneapolis High (W) | USHS-MN-W | 27 | 24 | 20 | 44 | 1.630 | 0.2461 | 0.2461 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bemidji State | CHA-W | JR | 15 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Bemidji State | CHA-W | SO | 14 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Bemidji State | CHA-W | FR | 25 | 0 | 0 | 0 | 0.000 |
| 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.