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 | Bloomington Jefferson High (W) | USHS-MN-W | 25 | 3 | 4 | 7 | 0.280 | 0.0423 | 0.0423 |
| 2020-21 | Bloomington Jefferson High (W) | USHS-MN-W | 19 | 3 | 3 | 6 | 0.316 | 0.0477 | 0.0477 |
| 2021-22 | Bloomington Jefferson High (W) | USHS-MN-W | 26 | 13 | 8 | 21 | 0.808 | 0.1220 | 0.1220 |
| 2022-23 | Bloomington Jefferson High (W) | USHS-MN-W | 26 | 29 | 15 | 44 | 1.692 | 0.2555 | 0.2398 |
| 2023-24 | Bloomington Jefferson High (W) | USHS-MN-W | 25 | 24 | 12 | 36 | 1.440 | 0.2174 | 0.1949 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Eau Claire | WIAC | SO | 24 | 7 | 8 | 15 | 0.625 |
| 2024-25 | Wisconsin-Eau Claire | WIAC | FR | 18 | 2 | 2 | 4 | 0.222 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Nicole Guagliardo | USHS-W · 2013-14 · 2.27 PPG | 0.156 | Mercyhurst |
| Sydney Brodt | USHS-MN-W · 2012-13 · 1.32 PPG | 0.600 | Minnesota Duluth |
| Jackie Pieper | USHS-MN-W · 2013-14 · 1.32 PPG | 0.324 | Merrimack |
| Joie Phelps | USHS-MN-W · 2013-14 · 1.26 PPG | 0.182 | Cornell |
| Natalie Snodgrass | USHS-MN-W · 2013-14 · 1.33 PPG | 1.000 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Kylie Scott | 2022-23 · 1.04 PPG | 0.440 | Gustavus Adolphus | MIAC |
| Olivia Martin | 2024-25 · 0.92 PPG | 0.500 | Bethel | MIAC |
| Gracyn Schipper | 2024-25 · 1.38 PPG | 0.333 | Wisconsin-Eau Claire | WIAC |
| Jessica Krysik | 2014-15 · 1.18 PPG | — | St. Olaf | 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.