Based on 38 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 | Shattuck St. Mary's 16U | NE-Prep-Girls | 45 | 17 | 33 | 50 | 1.111 | 0.3609 | 0.3609 |
| 2020-21 | Shattuck St. Mary's 16U | NE-Prep-Girls | 31 | 15 | 21 | 36 | 1.161 | 0.3772 | 0.3772 |
| 2021-22 | Shattuck St. Mary's Prep | NE-Prep-Girls | 60 | 32 | 39 | 71 | 1.183 | 0.3843 | 0.3742 |
| 2022-23 | — | 19U-AAA-W | 20 | 20 | 14 | 34 | 1.700 | 0.6978 | 0.6978 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Northeastern | HEA-W | JR | 39 | 10 | 18 | 28 | 0.718 |
| 2024-25 | Northeastern | HEA-W | SO | 20 | 4 | 10 | 14 | 0.700 |
| 2023-24 | Northeastern | HEA-W | FR | 39 | 8 | 9 | 17 | 0.436 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Shayna Tomlinson | NE-Prep-Girls · 2012-13 · 2.08 PPG | 0.531 | Rensselaer |
| Jessie Aney | USHS-MN-W · 2013-14 · 4.36 PPG | 0.267 | UConn |
| Brooke Avery | NE-Prep-Girls · 2012-13 · 2.00 PPG | 0.062 | New Hampshire |
| Nicole Schammel | USHS-MN-W · 2012-13 · 4.16 PPG | 0.611 | Minnesota State |
| Caitrin Lonergan | NE-Prep-Girls · 2012-13 · 2.44 PPG | 0.892 | Boston College |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Solvei Berg-Messerole | 2021-22 · 1.81 PPG | 1.000 | St. Olaf | MIAC |
| Kathryn Larson | 2012-13 · 1.68 PPG | 1.077 | Bethel | MIAC |
| Kristin Chivers | 2012-13 · 2.17 PPG | 0.862 | Elmira | UCHC |
| Courtney Wittig | 2014-15 · 2.61 PPG | 0.692 | Wisconsin-Eau Claire | WIAC |
| Amanda Conway | 2015-16 · 1.54 PPG | 1.217 | Norwich | NEHC |
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.