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 | Northfield Mt. Hermon | NE-Prep-Girls | 20 | 0 | 1 | 1 | 0.050 | 0.0162 | 0.0162 |
| 2016-17 | Northfield Mt. Hermon | NE-Prep-Girls | 27 | 2 | 6 | 8 | 0.300 | 0.0974 | 0.0974 |
| 2017-18 | Northfield Mt. Hermon | NE-Prep-Girls | 22 | 2 | 3 | 5 | 0.230 | 0.0747 | 0.0747 |
| 2018-19 | Cushing | NE-Prep-Girls | 29 | 3 | 2 | 5 | 0.170 | 0.0552 | 0.0552 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | William Smith | NEHC | SR | 24 | 2 | 2 | 4 | 0.167 |
| 2021-22 | William Smith | NEHC | JR | 24 | 4 | 1 | 5 | 0.208 |
| 2020-21 | William Smith | NEHC | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | William Smith | NEHC | FR | 27 | 8 | 3 | 11 | 0.407 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Taylor Heise | USHS-MN-W · 2012-13 · 0.36 PPG | 0.897 | Minnesota |
| Laura Anderson | USHS-MN-W · 2012-13 · 0.34 PPG | 0.290 | Yale |
| Presley Norby | USHS-MN-W · 2012-13 · 0.33 PPG | 0.525 | Wisconsin |
| Sierra Smith | USHS-MN-W · 2012-13 · 0.40 PPG | 0.000 | Minnesota |
| Carly Lang | USHS-W · 2012-13 · 0.58 PPG | 0.000 | Clarkson |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Karin Knapp | 2015-16 · 0.29 PPG | — | Wisconsin-Eau Claire | WIAC |
| Sophie Johnson | 2023-24 · 0.77 PPG | 0.143 | St. Scholastica | NCHA |
| Amanda Smythe | 2024-25 · 1.16 PPG | 0.105 | Wisconsin-River Falls | WIAC |
| Natalie Heutmaker | 2024-25 · 0.42 PPG | 0.280 | Norwich | LittleEast |
| Kaitlin Roberts | 2023-24 · 0.31 PPG | — | Gustavus Adolphus | 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.