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 | SDE HF | SDHL | 6 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2019-20 | SDE HF | SDHL | 11 | 0 | 1 | 1 | 0.091 | 0.1063 | 0.1063 |
| 2020-21 | Luleå HF | SDHL | 12 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Luleå HF | SDHL | 33 | 1 | 1 | 2 | 0.061 | 0.0709 | 0.0709 |
| 2022-23 | Luleå HF | SDHL | 31 | 2 | 2 | 4 | 0.129 | 0.1509 | 0.1509 |
| 2023-24 | Luleå HF | SDHL | 34 | 4 | 5 | 9 | 0.265 | 0.3096 | 0.3096 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Union | ECAC-W | SO | 36 | 5 | 3 | 8 | 0.222 |
| 2024-25 | Union | ECAC-W | FR | 36 | 3 | 5 | 8 | 0.222 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Emily Bergland | USHS-MN-W · 2013-14 · 2.04 PPG | 0.114 | Bemidji State |
| Catherine Skaja | USHS-MN-W · 2012-13 · 2.08 PPG | 0.342 | Minnesota |
| Rebekah Kolstad | USHS-MN-W · 2012-13 · 2.09 PPG | 0.057 | North Dakota |
| Sylvia Marolt | USHS-MN-W · 2012-13 · 2.12 PPG | 0.000 | Bemidji State |
| Demi Gardner | USHS-MN-W · 2012-13 · 2.12 PPG | 0.250 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Abigail Chamernick | 2022-23 · 1.17 PPG | 0.500 | Hamline | MIAC |
| Grace Karakas | 2023-24 · 1.38 PPG | 0.417 | SUNY Cortland | SUNYAC |
| Emily Heid | 2013-14 · 1.00 PPG | 0.593 | Wisconsin-Superior | WIAC |
| Lexi Davies | 2024-25 · 1.07 PPG | 0.545 | Rivier | MASCAC |
| Sierra Hanowski | 2011-12 · 1.56 PPG | 0.375 | St. Scholastica | NCHA |
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.