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 | Chisago Lakes High (W) | USHS-MN-W | 7 | 0 | 1 | 1 | 0.143 | 0.0216 | 0.0216 |
| 2020-21 | Chisago Lakes High (W) | USHS-MN-W | 22 | 1 | 0 | 1 | 0.045 | 0.0069 | 0.0069 |
| 2021-22 | Chisago Lakes High (W) | USHS-MN-W | 27 | 6 | 10 | 16 | 0.593 | 0.0895 | 0.0895 |
| 2022-23 | Chisago Lakes High (W) | USHS-MN-W | 27 | 12 | 12 | 24 | 0.889 | 0.1342 | 0.1261 |
| 2023-24 | Chisago Lakes High (W) | USHS-MN-W | 27 | 10 | 12 | 22 | 0.815 | 0.1230 | 0.1104 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Catherine | MIAC | SO | 20 | 1 | 0 | 1 | 0.050 |
| 2024-25 | St. Catherine | MIAC | FR | 22 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kourtney Menches | NE-Prep-Girls · 2013-14 · 0.34 PPG | 0.083 | Vermont |
| Janna Haeg | USHS-MN-W · 2012-13 · 0.76 PPG | 0.303 | St. Cloud State |
| Kendall Williamson | USHS-MN-W · 2012-13 · 0.76 PPG | 0.000 | Colgate |
| Sofia Poinar | USHS-MN-W · 2012-13 · 0.76 PPG | 0.028 | Minnesota State |
| Kippin Keller | USHS-MN-W · 2012-13 · 0.68 PPG | 0.056 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Anna Rausch | 2024-25 · 0.86 PPG | 0.312 | St. Norbert | NCHA |
| Tallulah Bryant | 2022-23 · 1.00 PPG | 0.273 | Lake Forest | NCHA |
| Charlotte Bellmont | 2024-25 · 0.69 PPG | — | Saint Benedict | MIAC |
| Jess Eykyn | 2023-24 · 1.88 PPG | 0.136 | Wisconsin-Eau Claire | WIAC |
| Allie LeClaire | 2023-24 · 0.79 PPG | 0.333 | 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.