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 | Bismarck Blizzard | USHS-W | 25 | 17 | 23 | 40 | 1.600 | 0.1358 | 0.1506 |
| 2019-20 | Bismarck Blizzard | USHS-W | 26 | 31 | 37 | 68 | 2.615 | 0.2220 | 0.2220 |
| 2020-21 | Andover High | USHS-MN-W | 23 | 18 | 17 | 35 | 1.522 | 0.2298 | 0.2298 |
| 2021-22 | Andover High | USHS-MN-W | 30 | 25 | 36 | 61 | 2.033 | 0.3070 | 0.2871 |
| 2022-23 | Andover High | USHS-MN-W | 20 | 18 | 22 | 40 | 2.000 | 0.3020 | 0.2681 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Thomas | CHA-W | JR | 36 | 5 | 14 | 19 | 0.528 |
| 2024-25 | St. Thomas | CHA-W | SO | 36 | 10 | 11 | 21 | 0.583 |
| 2023-24 | St. Thomas | CHA-W | FR | 37 | 6 | 8 | 14 | 0.378 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Paige Voight | USHS-MN-W · 2013-14 · 1.76 PPG | 0.559 | Merrimack |
| Mariah Gardner | USHS-MN-W · 2013-14 · 1.74 PPG | 0.071 | Minnesota State |
| Liz Schepers | USHS-MN-W · 2013-14 · 1.84 PPG | 0.410 | Ohio State |
| 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 |
|---|---|---|---|---|
| Rylan Kissel | 2024-25 · 1.11 PPG | 0.577 | Bethel | MIAC |
| Marta Mazzocchi | 2022-23 · 0.90 PPG | 0.727 | Trinity | NESCAC |
| Courtney Moser | 2016-17 · 1.16 PPG | 0.560 | Saint Mary's (MN) | MIAC |
| Zsofia Pazmandi | 2022-23 · 0.80 PPG | 0.808 | SUNY Plattsburgh | SUNYAC |
| Jerica Friese | 2018-19 · 1.08 PPG | 0.600 | Concordia | MIAC |
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.