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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Shawnigan Lake School | CSSHL-U18W | 8 | 4 | 5 | 9 | 1.125 | 0.2577 | 0.2577 |
| 2020-21 | Shawnigan Lake School | CSSHL-U18W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Shawnigan Lake School | CSSHL-U18W | 24 | 21 | 25 | 46 | 1.917 | 0.4391 | 0.4391 |
| 2022-23 | Shawnigan Lake School | CSSHL-U18W | 30 | 19 | 41 | 60 | 2.000 | 0.4582 | 0.4582 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Maine | HEA-W | JR | 36 | 4 | 2 | 6 | 0.167 |
| 2024-25 | Maine | HEA-W | SO | 35 | 8 | 6 | 14 | 0.400 |
| 2023-24 | Maine | HEA-W | FR | 32 | 4 | 5 | 9 | 0.281 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kelly Pannek | USHS-MN-W · 2013-14 · 3.08 PPG | 1.073 | Minnesota |
| Phoebe Staenz | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.680 | Yale |
| Bridget Carey | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.357 | Brown |
| Dana Rasmussen | USHS-MN-W · 2013-14 · 2.96 PPG | 0.167 | Ohio State |
| Reagan Haley | USHS-MN-W · 2012-13 · 2.92 PPG | 0.108 | Minnesota Duluth |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Emily Lester | 2011-12 · 2.17 PPG | 0.679 | Wisconsin-Stevens Point | NCHA |
| Celia Midtbo | 2022-23 · 1.73 PPG | 0.840 | Saint Mary's (MN) | MIAC |
| Emma Schmitz | 2018-19 · 2.22 PPG | 0.667 | Wisconsin-River Falls | WIAC |
| Bre Simon | 2015-16 · 1.48 PPG | 1.000 | Hamline | MIAC |
| Rilee Winters | 2018-19 · 1.48 PPG | 1.000 | Wisconsin-Eau Claire | 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.