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 | Maple Grove High (W) | USHS-MN-W | 21 | 1 | 0 | 1 | 0.048 | 0.0072 | 0.0072 |
| 2019-20 | Maple Grove High (W) | USHS-MN-W | 23 | 3 | 5 | 8 | 0.348 | 0.0525 | 0.0525 |
| 2020-21 | Maple Grove High (W) | USHS-MN-W | 18 | 4 | 6 | 10 | 0.556 | 0.0839 | 0.0839 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Wisconsin-Stevens Point | WIAC | SR | 27 | 14 | 17 | 31 | 1.148 |
| 2023-24 | Wisconsin-Stevens Point | WIAC | JR | 28 | 13 | 7 | 20 | 0.714 |
| 2022-23 | Wisconsin-Stevens Point | WIAC | SO | 27 | 10 | 5 | 15 | 0.556 |
| 2021-22 | Wisconsin-Stevens Point | WIAC | FR | 27 | 14 | 6 | 20 | 0.741 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Annelise Rice | USHS-MN-W · 2012-13 · 0.05 PPG | 0.080 | North Dakota |
| Anna Johnson | USHS-W · 2012-13 · 0.05 PPG | 0.027 | Mercyhurst |
| Amber Moore | USHS-W · 2013-14 · 0.05 PPG | 0.133 | Cornell |
| Becca Gilmore | NE-Prep-Girls · 2012-13 · 0.04 PPG | 1.167 | Harvard |
| Madison Nichols | NE-Prep-Girls · 2012-13 · 0.04 PPG | 0.360 | St. Michael's College |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Alexa March | 2023-24 · 0.21 PPG | 0.095 | Saint Mary's | MIAC |
| Bailey Coole | 2022-23 · 0.52 PPG | 0.042 | St. Scholastica | NCHA |
| Kaiya Johnson | 2024-25 · 0.38 PPG | 0.074 | Wisconsin-Stevens Point | WIAC |
| Maggie Jacoby | 2022-23 · 0.13 PPG | 0.200 | Nazareth | UCHC |
| Maria Hatzidakis | 2022-23 · 0.10 PPG | 0.091 | Johnson & Wales | NEHC |
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.