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 | Pursuit of Excellence | CSSHL-U18W | 10 | 0 | 2 | 2 | 0.200 | 0.0458 | 0.0458 |
| 2020-21 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 7 | 1 | 2 | 3 | 0.429 | 0.0982 | 0.0982 |
| 2021-22 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 20 | 7 | 7 | 14 | 0.700 | 0.1604 | 0.1604 |
| 2022-23 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 30 | 8 | 21 | 29 | 0.967 | 0.2215 | 0.2215 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Union | ECAC-W | JR | 32 | 3 | 2 | 5 | 0.156 |
| 2024-25 | Union | ECAC-W | SO | 36 | 3 | 2 | 5 | 0.139 |
| 2023-24 | Boston University | HEA-W | FR | 14 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Aly Tremblay | USHS-W · 2012-13 · 2.61 PPG | 0.030 | RPI |
| Jacqueline Kaasa | USHS-MN-W · 2013-14 · 1.46 PPG | 0.143 | Bemidji State |
| Danielle Marmer | 19U-AAA-W · 2012-13 · 0.70 PPG | 0.108 | Quinnipiac |
| Nicole Guagliardo | USHS-W · 2012-13 · 2.54 PPG | 0.156 | Mercyhurst |
| Lindsay Roethke | USHS-MN-W · 2013-14 · 1.52 PPG | 0.027 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kaiya Sandy | 2024-25 · 1.27 PPG | 0.571 | Hamline | MIAC |
| Ali Biagini | 2013-14 · 1.00 PPG | 0.714 | Wisconsin-Stevens Point | WIAC |
| Lily Mortenson | 2021-22 · 0.82 PPG | 0.867 | Gustavus Adolphus | MIAC |
| Emily Bill | 2024-25 · 1.67 PPG | 0.429 | St. Norbert | NCHA |
| Kaleigh Martinson | 2015-16 · 1.20 PPG | 0.593 | Wisconsin-Superior | WIAC |
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.