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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Farmington High MN (women) | USHS-MN-W | 21 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2020-21 | Farmington High MN (women) | USHS-MN-W | 18 | 1 | 1 | 2 | 0.111 | 0.0168 | 0.0168 |
| 2021-22 | Farmington High MN (women) | USHS-MN-W | 25 | 3 | 3 | 6 | 0.240 | 0.0362 | 0.0362 |
| 2022-23 | Farmington High MN (women) | USHS-MN-W | 25 | 5 | 4 | 9 | 0.360 | 0.0544 | 0.0517 |
| 2023-24 | Farmington High MN (women) | USHS-MN-W | 27 | 15 | 14 | 29 | 1.074 | 0.1622 | 0.1473 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Scholastica | NCHA | SO | 25 | 8 | 10 | 18 | 0.720 |
| 2024-25 | St. Scholastica | NCHA | FR | 23 | 1 | 6 | 7 | 0.304 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Ivy Dynek | USHS-W · 2013-14 · 1.78 PPG | 0.000 | St. Cloud State |
| Katie Detert | USHS-W · 2012-13 · 1.80 PPG | 0.000 | St. Cloud State |
| Annie Roche | USHS-W · 2012-13 · 1.88 PPG | 0.000 | Colgate |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Emerson Hardwick | 2025-26 · 0.90 PPG | — | Post | NE10 |
| Andrea Noss | 2013-14 · 0.52 PPG | 0.667 | SUNY Oswego | SUNYAC |
| Shelby Evans | 2024-25 · 0.89 PPG | — | St. Scholastica | NCHA |
| Cara Cook | 2022-23 · 1.12 PPG | 0.333 | Aurora | NCHA |
| Kayleigh Olson | 2024-25 · 2.08 PPG | 0.167 | 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.