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 |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Stanstead College Varsity (W) | CAHS-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Stanstead College Varsity (W) | CAHS-W | 37 | 27 | 20 | 47 | 1.270 | 0.4558 | 0.4558 |
| 2022-23 | Stanstead College Varsity (W) | CAHS-W | 46 | 30 | 43 | 73 | 1.587 | 0.5694 | 0.5694 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2026-27 | Minnesota | WCHA-W | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2025-26 | Minnesota | WCHA-W | JR | 39 | 6 | 18 | 24 | 0.615 |
| 2024-25 | Minnesota | WCHA-W | SO | 38 | 9 | 12 | 21 | 0.553 |
| 2023-24 | Minnesota | WCHA-W | FR | 39 | 6 | 19 | 25 | 0.641 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Saana Valkama | SMLIIGA-W · 2012-13 · 1.43 PPG | 0.314 | Vermont |
| Kelly Pannek | USHS-MN-W · 2012-13 · 3.45 PPG | 1.073 | Minnesota |
| Nicole Schammel | USHS-MN-W · 2013-14 · 3.44 PPG | 0.611 | Minnesota State |
| Brooke Avery | NE-Prep-Girls · 2012-13 · 2.00 PPG | 0.062 | New Hampshire |
| Emma Nuutinen | SMLIIGA-W · 2012-13 · 1.25 PPG | 0.559 | North Dakota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Celia Midtbo | 2022-23 · 1.73 PPG | 0.840 | Saint Mary's (MN) | MIAC |
| Amber Tilander | 2017-18 · 2.22 PPG | 0.655 | St. Scholastica | NCHA |
| Erica Power | 2013-14 · 1.40 PPG | 1.038 | Gustavus Adolphus | MIAC |
| Alyssa Hulst | 2015-16 · 2.08 PPG | 0.700 | Norwich | NEHC |
| Mikaila Rubin | 2016-17 · 2.21 PPG | 0.654 | Nazareth | UCHC |
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.