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 |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Boston Shamrocks | JWHL-U19 | 25 | 8 | 4 | 12 | 0.480 | 0.1863 | 0.1897 |
| 2020-21 | Linköping HC | SDHL | 13 | 1 | 0 | 1 | 0.077 | 0.0899 | 0.0899 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | LIU | CHA-W | GR | 34 | 3 | 12 | 15 | 0.441 |
| 2024-25 | Long Island Univ. | CHA-W | GR | 33 | 3 | 12 | 15 | 0.455 |
| 2022-23 | LIU | CHA-W | SR | 36 | 10 | 17 | 27 | 0.750 |
| 2022-23 | Long Island Univ. | CHA-W | SR | 36 | 10 | 17 | 27 | 0.750 |
| 2021-22 | Long Island Univ. | CHA-W | JR | 30 | 12 | 14 | 26 | 0.867 |
| 2020-21 | Long Island Univ. | CHA-W | SO | 12 | 2 | 3 | 5 | 0.417 |
| 2019-20 | Long Island Univ. | CHA-W | FR | 31 | 19 | 14 | 33 | 1.065 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Joie Phelps | USHS-MN-W · 2013-14 · 1.26 PPG | 0.182 | Cornell |
| Kiki Radke | USHS-MN-W · 2013-14 · 1.24 PPG | 0.273 | Bemidji State |
| Nicole Guagliardo | USHS-W · 2013-14 · 2.27 PPG | 0.156 | Mercyhurst |
| Mac Johnson | USHS-MN-W · 2013-14 · 1.22 PPG | 0.125 | St. Cloud State |
| Natalie Snodgrass | USHS-MN-W · 2012-13 · 1.20 PPG | 1.000 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Ella Konrad | 2023-24 · 0.70 PPG | 0.700 | Nazareth | UCHC |
| Hannah Grabianowski | 2023-24 · 0.92 PPG | 0.517 | St. Norbert | NCHA |
| Sophie Martin | 2023-24 · 0.77 PPG | 0.667 | Bethel | MIAC |
| Kaiya Sandy | 2022-23 · 0.90 PPG | 0.571 | Hamline | MIAC |
| Maggie Hunter | 2022-23 · 0.50 PPG | 0.931 | Norwich | LittleEast |
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.