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 | Simley High (W) | USHS-MN-W | 22 | 1 | 1 | 2 | 0.091 | 0.0137 | 0.0137 |
| 2020-21 | Simley High (W) | USHS-MN-W | 20 | 1 | 4 | 5 | 0.250 | 0.0377 | 0.0377 |
| 2021-22 | Simley High (W) | USHS-MN-W | 26 | 5 | 10 | 15 | 0.577 | 0.0871 | 0.0871 |
| 2022-23 | Simley High (W) | USHS-MN-W | 27 | 8 | 13 | 21 | 0.778 | 0.1174 | 0.1174 |
| 2023-24 | Simley High (W) | USHS-MN-W | 25 | 9 | 9 | 18 | 0.720 | 0.1087 | 0.1087 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Western New England | CNE | SO | 27 | 1 | 5 | 6 | 0.222 |
| 2024-25 | Western New England | NEHC | FR | 24 | 5 | 2 | 7 | 0.292 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Briana Jorde | USHS-MN-W · 2012-13 · 0.68 PPG | 0.077 | Bemidji State |
| Taylor Flaherty | USHS-MN-W · 2012-13 · 0.76 PPG | 0.000 | North Dakota |
| 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 |
| Heidi Witt | USHS-MN-W · 2012-13 · 0.80 PPG | 0.000 | New Hampshire |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Allie LeClaire | 2023-24 · 0.79 PPG | 0.333 | Wisconsin-Eau Claire | WIAC |
| Tallulah Bryant | 2022-23 · 1.00 PPG | 0.273 | Lake Forest | NCHA |
| Kate Elbrecht | 2025-26 · 0.66 PPG | — | RPI | ECAC |
| Macy Peterson | 2022-23 · 0.93 PPG | 0.296 | Hamline | MIAC |
| Olivia Patnode | 2022-23 · 0.63 PPG | — | Saint Mary's | 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.