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 | Lac St-Louis Warriors M18 AAA(W) | QMAAA-W | 4 | 1 | 1 | 2 | 0.500 | 0.0731 | 0.0731 |
| 2020-21 | Lac St-Louis Warriors M18 AAA(W) | QMAAA-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Lac St-Louis Warriors M18 AAA(W) | QMAAA-W | 28 | 7 | 9 | 16 | 0.571 | 0.0835 | 0.0809 |
| 2022-23 | John Abbott College | QCHL-W | 27 | 6 | 15 | 21 | 0.778 | 0.2111 | 0.2186 |
| 2023-24 | John Abbott College | QCHL-W | 30 | 10 | 12 | 22 | 0.733 | 0.1990 | 0.1970 |
| 2024-25 | John Abbott College | QCHL-W | 30 | 7 | 16 | 23 | 0.767 | 0.2081 | 0.1955 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Clarkson | ECAC-W | FR | 18 | 1 | 1 | 2 | 0.111 |
| 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 |
|---|---|---|---|---|
| Hattie Verstegen | 2018-19 · 1.48 PPG | 0.444 | Wisconsin-Eau Claire | WIAC |
| Jessica Pate | 2011-12 · 1.64 PPG | — | St. Olaf | MIAC |
| Morgan Mordini | 2017-18 · 1.78 PPG | 0.370 | Elmira | UCHC |
| Riley Schneider | 2014-15 · 1.52 PPG | 0.435 | Saint Benedict | MIAC |
| Molly Garin | 2014-15 · 0.52 PPG | 1.267 | Hamline | 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.