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 |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Windsor Southwest Wildcats | OWHL-U22 | 13 | 0 | 5 | 5 | 0.385 | 0.1347 | 0.1347 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Long Island Univ. | CHA-W | SR | 36 | 1 | 5 | 6 | 0.167 |
| 2024-25 | LIU | CHA-W | JR | 33 | 2 | 1 | 3 | 0.091 |
| 2024-25 | Long Island Univ. | CHA-W | JR | 36 | 2 | 1 | 3 | 0.083 |
| 2023-24 | LIU | CHA-W | SO | 31 | 1 | 3 | 4 | 0.129 |
| 2023-24 | Long Island Univ. | CHA-W | SO | 32 | 1 | 3 | 4 | 0.125 |
| 2022-23 | LIU | CHA-W | FR | 3 | 0 | 0 | 0 | 0.000 |
| 2022-23 | Long Island Univ. | CHA-W | FR | 3 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lydia Passolt | USHS-MN-W · 2012-13 · 0.89 PPG | 0.095 | Bemidji State |
| Vilma Tanskanen | SMLIIGA-W · 2012-13 · 0.35 PPG | 0.182 | North Dakota |
| Carly Bullock | USHS-MN-W · 2012-13 · 0.92 PPG | 0.812 | Princeton |
| Emily Antony | USHS-MN-W · 2012-13 · 0.92 PPG | 0.444 | Minnesota State |
| Amanda Bäckebo | SDHL · 2012-13 · 0.11 PPG | 0.056 | Syracuse |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Mya Monson | 2018-19 · 1.22 PPG | — | Gustavus Adolphus | MIAC |
| Erin Olson | 2015-16 · 0.76 PPG | 0.640 | Wisconsin-River Falls | WIAC |
| Madigan Goldsworthy | 2017-18 · 1.52 PPG | 0.320 | Gustavus Adolphus | MIAC |
| Molly McHugh | 2016-17 · 0.44 PPG | 1.107 | 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.