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 | Duluth High (W) | USHS-MN-W | 25 | 0 | 4 | 4 | 0.160 | 0.0242 | 0.0242 |
| 2019-20 | Duluth High (W) | USHS-MN-W | 24 | 8 | 11 | 19 | 0.792 | 0.1195 | 0.1195 |
| 2020-21 | Duluth High (W) | USHS-MN-W | 19 | 6 | 3 | 9 | 0.474 | 0.0715 | 0.0715 |
| 2021-22 | Duluth High (W) | USHS-MN-W | 25 | 5 | 9 | 14 | 0.560 | 0.0846 | 0.0846 |
| 2022-23 | Duluth High (W) | USHS-MN-W | 26 | 7 | 6 | 13 | 0.500 | 0.0755 | 0.0666 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | St. Scholastica | NCHA | SO | 23 | 4 | 0 | 4 | 0.174 |
| 2023-24 | St. Scholastica | NCHA | FR | 13 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Rose Rather | NE-Prep-Girls · 2012-13 · 0.20 PPG | 0.824 | Holy Cross |
| Sierra Smith | USHS-MN-W · 2012-13 · 0.40 PPG | 0.000 | Minnesota |
| Mallorie Iozzo | USHS-MN-W · 2012-13 · 0.50 PPG | 0.069 | Minnesota Duluth |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lauren Riccobelli | 2024-25 · 0.52 PPG | 0.320 | SUNY Oswego | SUNYAC |
| Ava Johansson | 2022-23 · 1.23 PPG | 0.130 | Wisconsin-Eau Claire | WIAC |
| Lauren Hornstein | 2024-25 · 0.40 PPG | — | Hamline | MIAC |
| Nora McConnell | 2023-24 · 0.39 PPG | 0.385 | St. Olaf | MIAC |
| Macy Peterson | 2022-23 · 0.93 PPG | 0.194 | Post | CHA-W |
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.