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 | Team Wisconsin 14U AAA | USHS-W | 30 | 1 | 7 | 8 | 0.267 | 0.0220 | 0.0220 |
| 2016-17 | Fond du Lac Warbirds | USHS-W | 24 | 27 | 17 | 44 | 1.833 | 0.1514 | 0.1514 |
| 2018-19 | Fond du Lac Warbirds | USHS-W | 23 | 13 | 21 | 34 | 1.478 | 0.1221 | 0.1221 |
| 2019-20 | — | USHS-W | 22 | 33 | 13 | 46 | 2.091 | 0.1727 | 0.1727 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Wisconsin-Eau Claire | WIAC | SR | 28 | 8 | 15 | 23 | 0.821 |
| 2022-23 | Wisconsin-Eau Claire | WIAC | JR | 20 | 2 | 9 | 11 | 0.550 |
| 2021-22 | Wisconsin-Eau Claire | WIAC | SO | 22 | 4 | 9 | 13 | 0.591 |
| 2020-21 | Wisconsin-Eau Claire | WIAC | FR | 9 | 1 | 3 | 4 | 0.444 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Tianna Gunderson | USHS-MN-W · 2012-13 · 0.79 PPG | 0.069 | Minnesota |
| Renee Saltness | USHS-MN-W · 2012-13 · 0.79 PPG | 0.029 | Quinnipiac |
| Suvi Ollikainen | SMLIIGA-W · 2012-13 · 0.32 PPG | 0.151 | St. Cloud State |
| Rebecca Lindblad | USHS-W · 2013-14 · 1.43 PPG | 0.057 | UConn |
| Danielle Marmer | NE-Prep-Girls · 2012-13 · 0.39 PPG | 0.000 | Quinnipiac |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Andrea Noss | 2013-14 · 0.52 PPG | 0.667 | SUNY Oswego | SUNYAC |
| Adrienne Hansen | 2023-24 · 0.70 PPG | 0.481 | Wisconsin-Eau Claire | WIAC |
| Shelby Evans | 2024-25 · 0.89 PPG | — | St. Scholastica | NCHA |
| Emerson Hardwick | 2025-26 · 0.90 PPG | — | Post | NE10 |
| Lauren Schmidt | 2024-25 · 1.00 PPG | 0.333 | St. Catherine | 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.