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 | Unionville High | USHS-W | 17 | 18 | 29 | 47 | 2.765 | 0.2347 | 0.2347 |
| 2016-17 | Unionville High | USHS-W | 15 | 28 | 19 | 47 | 3.133 | 0.2660 | 0.2660 |
| 2018-19 | The Hill School | NE-Prep-Girls | 29 | 14 | 13 | 27 | 0.931 | 0.3024 | 0.3024 |
| 2019-20 | The Hill School | NE-Prep-Girls | 26 | 12 | 21 | 33 | 1.269 | 0.4122 | 0.4122 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Middlebury | NESCAC | SR | 29 | 9 | 6 | 15 | 0.517 |
| 2023-24 | Middlebury | NESCAC | JR | 29 | 5 | 4 | 9 | 0.310 |
| 2022-23 | Middlebury | NESCAC | SO | 27 | 4 | 3 | 7 | 0.259 |
| 2021-22 | Middlebury | NESCAC | FR | 25 | 1 | 3 | 4 | 0.160 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Emily Bergland | USHS-MN-W · 2013-14 · 2.04 PPG | 0.114 | Bemidji State |
| Lindsay Roethke | USHS-MN-W · 2012-13 · 1.96 PPG | 0.027 | UConn |
| Catherine Skaja | USHS-MN-W · 2012-13 · 2.08 PPG | 0.342 | Minnesota |
| Rebekah Kolstad | USHS-MN-W · 2012-13 · 2.09 PPG | 0.057 | North Dakota |
| Sylvia Marolt | USHS-MN-W · 2012-13 · 2.12 PPG | 0.000 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Rylan Kissel | 2024-25 · 1.11 PPG | 0.577 | Bethel | MIAC |
| Alexis Sampson | 2018-19 · 1.58 PPG | — | Concordia | MIAC |
| Taylor Severson | 2021-22 · 1.58 PPG | 0.400 | Concordia | MIAC |
| Alyssa Hulst | 2014-15 · 0.90 PPG | 0.700 | Norwich | NEHC |
| Reilly Springman | 2016-17 · 1.00 PPG | 0.630 | Wisconsin-River Falls | 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.