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 | Biggby Coffee AAA Hockey 19U | 19U-AAA-W | 62 | 28 | 19 | 47 | 0.758 | 0.2413 | 0.2413 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Saint Mary's | MIAC | SR | 10 | 1 | 0 | 1 | 0.100 |
| 2023-24 | Saint Mary's (MN) | MIAC | SR | 11 | 1 | 0 | 1 | 0.091 |
| 2022-23 | Saint Mary's | MIAC | JR | 24 | 3 | 4 | 7 | 0.292 |
| 2022-23 | Saint Mary's (MN) | MIAC | JR | 24 | 3 | 4 | 7 | 0.292 |
| 2021-22 | Saint Mary's | MIAC | SO | 18 | 4 | 1 | 5 | 0.278 |
| 2021-22 | Saint Mary's (MN) | MIAC | SO | 18 | 4 | 1 | 5 | 0.278 |
| 2020-21 | Saint Mary's (MN) | MIAC | FR | 0 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Brooke Madsen | USHS-MN-W · 2012-13 · 1.60 PPG | 0.600 | Penn State |
| Lydia Passolt | USHS-MN-W · 2013-14 · 1.60 PPG | 0.095 | Bemidji State |
| Kiki Radke | USHS-MN-W · 2012-13 · 1.58 PPG | 0.273 | Bemidji State |
| Sophia Kunin | USHS-MN-W · 2013-14 · 1.62 PPG | 0.425 | Wisconsin |
| Taylor Williamson | USHS-MN-W · 2012-13 · 1.64 PPG | 0.395 | Minnesota |
| 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 |
| Sierra Hanowski | 2011-12 · 1.56 PPG | 0.375 | St. Scholastica | NCHA |
| Lexi Davies | 2024-25 · 1.07 PPG | 0.545 | Rivier | MASCAC |
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.