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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | St. Cloud Crush | USHS-MN-W | 24 | 0 | 2 | 2 | 0.083 | 0.0126 | 0.0126 |
| 2019-20 | St. Cloud Crush | USHS-MN-W | 25 | 11 | 9 | 20 | 0.800 | 0.1208 | 0.1208 |
| 2020-21 | St. Cloud Crush | USHS-MN-W | 18 | 6 | 18 | 24 | 1.333 | 0.2013 | 0.2013 |
| 2021-22 | St. Cloud Crush | USHS-MN-W | 24 | 12 | 23 | 35 | 1.458 | 0.2202 | 0.2202 |
| 2022-23 | St. Cloud Crush | USHS-MN-W | 25 | 6 | 16 | 22 | 0.880 | 0.1329 | 0.1254 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Endicott | CNE | JR | 28 | 3 | 5 | 8 | 0.286 |
| 2024-25 | Endicott | NEHC | SO | 17 | 0 | 4 | 4 | 0.235 |
| 2023-24 | Endicott | NEHC | FR | 16 | 1 | 1 | 2 | 0.125 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Suvi Ollikainen | SMLIIGA-W · 2012-13 · 0.32 PPG | 0.151 | St. Cloud State |
| Danielle Marmer | NE-Prep-Girls · 2012-13 · 0.39 PPG | 0.000 | Quinnipiac |
| Holly Dietzler | USHS-MN-W · 2012-13 · 0.84 PPG | 0.108 | Lindenwood |
| Jessica Bonfe | USHS-MN-W · 2012-13 · 0.84 PPG | 0.206 | Merrimack |
| Kylie Hanley | USHS-MN-W · 2012-13 · 0.84 PPG | 0.143 | Minnesota Duluth |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Greer Hardacre | 2022-23 · 1.04 PPG | 0.286 | Saint Benedict | MIAC |
| Brooke Klemz | 2022-23 · 1.11 PPG | 0.280 | Hamline | MIAC |
| Amelia McQuay | 2023-24 · 0.71 PPG | 0.423 | Bethel | MIAC |
| Jenna Allen | 2022-23 · 0.50 PPG | 0.586 | Augsburg | MIAC |
| Charlotte Crudale | 2024-25 · 0.95 PPG | 0.310 | 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.