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 | Regina Rebels | SFMAAAHL-W | 28 | 8 | 3 | 11 | 0.393 | 0.0919 | 0.0919 |
| 2019-20 | Regina Rebels | SFMAAAHL-W | 30 | 17 | 19 | 36 | 1.200 | 0.2807 | 0.2807 |
| 2020-21 | Regina Rebels | SFMAAAHL-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Regina Rebels | SFMAAAHL-W | 29 | 38 | 38 | 76 | 2.621 | 0.6130 | 0.6130 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colgate | ECAC-W | SO | 36 | 18 | 15 | 33 | 0.917 |
| 2024-25 | Colgate | ECAC-W | FR | 39 | 11 | 12 | 23 | 0.590 |
| 2023-24 | Stonehill | NEWHA | SO | 39 | 20 | 15 | 35 | 0.897 |
| 2022-23 | Stonehill | NEWHA | FR | 37 | 28 | 19 | 47 | 1.270 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Nicole Schammel | USHS-MN-W · 2012-13 · 4.16 PPG | 0.611 | Minnesota State |
| Brooke Avery | NE-Prep-Girls · 2012-13 · 2.00 PPG | 0.062 | New Hampshire |
| Jessie Aney | USHS-MN-W · 2013-14 · 4.36 PPG | 0.267 | UConn |
| Saana Valkama | SMLIIGA-W · 2012-13 · 1.43 PPG | 0.314 | Vermont |
| Shayna Tomlinson | NE-Prep-Girls · 2012-13 · 2.08 PPG | 0.531 | Rensselaer |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Callie Hoff | 2015-16 · 1.80 PPG | 1.321 | Wisconsin-River Falls | WIAC |
| Abigail Stow | 2014-15 · 2.50 PPG | 0.963 | Wisconsin-River Falls | WIAC |
| Nina Thorson | 2024-25 · 2.54 PPG | 0.929 | Hamline | MIAC |
| Sophie Rausch | 2017-18 · 1.76 PPG | 1.346 | Hamline | MIAC |
| Alex Hantge | 2017-18 · 1.72 PPG | 1.417 | Wisconsin-River Falls | 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.