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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Kimball Union | NE-Prep-Girls | 6 | 6 | 5 | 11 | 1.830 | 0.5944 | 0.5944 |
| 2016-17 | Kimball Union | NE-Prep-Girls | 23 | 6 | 2 | 8 | 0.350 | 0.1137 | 0.1137 |
| 2017-18 | Kimball Union | NE-Prep-Girls | 27 | 11 | 11 | 22 | 0.810 | 0.2631 | 0.2631 |
| 2018-19 | Kimball Union | NE-Prep-Girls | 24 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | New Hampshire | HEA-W | GR | 35 | 0 | 2 | 2 | 0.057 |
| 2022-23 | Norwich | NEHC | SR | 29 | 22 | 10 | 32 | 1.103 |
| 2021-22 | Norwich | NEHC | JR | 27 | 18 | 18 | 36 | 1.333 |
| 2020-21 | Norwich | NEHC | SO | 5 | 2 | 4 | 6 | 1.200 |
| 2019-20 | Norwich | NEHC | FR | 27 | 8 | 10 | 18 | 0.667 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Mariah Gardner | USHS-MN-W · 2013-14 · 1.74 PPG | 0.071 | Minnesota State |
| Amy Petersen | USHS-MN-W · 2012-13 · 1.92 PPG | 0.784 | Penn State |
| Paige Voight | USHS-MN-W · 2013-14 · 1.76 PPG | 0.559 | Merrimack |
| Emily Gunderson | USHS-MN-W · 2012-13 · 1.71 PPG | 0.171 | Lindenwood |
| Charly Dalhquist | USHS-MN-W · 2012-13 · 1.68 PPG | 0.241 | North Dakota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jenna Allen | 2023-24 · 0.93 PPG | 0.586 | Augsburg | MIAC |
| Mia Montanari | 2024-25 · 1.08 PPG | 0.500 | RPI | ECAC |
| Flora Pasztor | 2025-26 · 1.35 PPG | — | Post | NE10 |
| Makenna Kadrlik | 2022-23 · 1.46 PPG | 0.375 | Wisconsin-River Falls | WIAC |
| Georgia Bailey | 2022-23 · 1.10 PPG | 0.500 | RPI | ECAC |
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.