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 | L-L Étoiles M18 AAA | QMAAA-W | 30 | 9 | 4 | 13 | 0.433 | 0.0633 | 0.0633 |
| 2019-20 | John Abbott College | QCHL-W | 24 | 6 | 5 | 11 | 0.458 | 0.1244 | 0.1244 |
| 2020-21 | John Abbott College | QCHL-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | John Abbott College | QCHL-W | 28 | 10 | 12 | 22 | 0.786 | 0.2132 | 0.2132 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | RPI | ECAC-W | SR | 35 | 6 | 6 | 12 | 0.343 |
| 2024-25 | RPI | ECAC-W | JR | 31 | 1 | 8 | 9 | 0.290 |
| 2023-24 | RPI | ECAC-W | SO | 35 | 3 | 10 | 13 | 0.371 |
| 2022-23 | RPI | ECAC-W | FR | 31 | 2 | 6 | 8 | 0.258 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Mariah Gardner | USHS-MN-W · 2012-13 · 1.40 PPG | 0.071 | Minnesota State |
| Abby Halluska | USHS-MN-W · 2013-14 · 1.40 PPG | 0.314 | Bemidji State |
| Gabby Billing | USHS-MN-W · 2013-14 · 1.40 PPG | 0.310 | Dartmouth |
| Charly Dalhquist | USHS-MN-W · 2013-14 · 1.40 PPG | 0.241 | North Dakota |
| Aly Tremblay | USHS-W · 2012-13 · 2.61 PPG | 0.030 | RPI |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kaiya Sandy | 2024-25 · 1.27 PPG | 0.571 | Hamline | MIAC |
| Maddison Devlin | 2015-16 · 0.59 PPG | 1.222 | Morrisville | SUNYAC |
| Taia Klaman | 2018-19 · 1.79 PPG | — | Concordia | MIAC |
| Amber Heidenreich | 2013-14 · 1.43 PPG | 0.500 | Wisconsin-Superior | WIAC |
| Jillian Tabaka | 2021-22 · 1.38 PPG | 0.518 | Concordia (WI) | 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.