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 | 3 | 1 | 4 | 0.160 | 0.0242 | 0.0242 |
| 2019-20 | Duluth High (W) | USHS-MN-W | 25 | 7 | 6 | 13 | 0.520 | 0.0785 | 0.0785 |
| 2020-21 | Duluth High (W) | USHS-MN-W | 19 | 5 | 3 | 8 | 0.421 | 0.0636 | 0.0636 |
| 2021-22 | Duluth High (W) | USHS-MN-W | 17 | 7 | 4 | 11 | 0.647 | 0.0977 | 0.0977 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Scholastica | NCHA | SR | 24 | 0 | 0 | 0 | 0.000 |
| 2024-25 | St. Scholastica | NCHA | JR | 25 | 4 | 2 | 6 | 0.240 |
| 2023-24 | St. Scholastica | NCHA | SO | 25 | 1 | 0 | 1 | 0.040 |
| 2022-23 | St. Scholastica | NCHA | FR | 12 | 0 | 2 | 2 | 0.167 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Cheyenne Harris | USHS-MN-W · 2012-13 · 0.64 PPG | 0.324 | Union |
| Taylor Turnquist | USHS-MN-W · 2012-13 · 0.64 PPG | 0.171 | Clarkson |
| Briana Jorde | USHS-MN-W · 2012-13 · 0.68 PPG | 0.077 | Bemidji State |
| Amanda Kimmerle | USHS-MN-W · 2012-13 · 0.60 PPG | 0.059 | RPI |
| Megan Hinze | USHS-MN-W · 2012-13 · 0.60 PPG | 0.182 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jorja Jusczak | 2023-24 · 1.00 PPG | 0.240 | Saint Benedict | MIAC |
| Kylie Ligday | 2022-23 · 0.81 PPG | 0.280 | Gustavus Adolphus | MIAC |
| Olivia Patnode | 2022-23 · 0.63 PPG | — | Saint Mary's | MIAC |
| Macy Janssen | 2022-23 · 0.74 PPG | 0.333 | Gustavus Adolphus | MIAC |
| Lucy Peterson | 2022-23 · 0.63 PPG | — | Wisconsin-Eau Claire | 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.