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 | Breck School (W) | USHS-MN-W | 25 | 3 | 7 | 10 | 0.400 | 0.0604 | 0.0604 |
| 2018-19 | Breck School (W) | USHS-MN-W | 25 | 9 | 23 | 32 | 1.280 | 0.1933 | 0.1933 |
| 2019-20 | Breck School (W) | USHS-MN-W | 25 | 14 | 24 | 38 | 1.520 | 0.2295 | 0.2295 |
| 2020-21 | Breck School (W) | USHS-MN-W | 19 | 15 | 20 | 35 | 1.842 | 0.2782 | 0.2782 |
| 2021-22 | Minnetonka High (W) | USHS-MN-W | 30 | 22 | 36 | 58 | 1.933 | 0.2919 | 0.2919 |
| 2022-23 | Minnetonka High (W) | USHS-MN-W | 26 | 25 | 18 | 43 | 1.654 | 0.2497 | 0.2258 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota | WCHA-W | JR | 38 | 15 | 28 | 43 | 1.132 |
| 2024-25 | Minnesota | WCHA-W | SO | 42 | 8 | 19 | 27 | 0.643 |
| 2023-24 | Minnesota | WCHA-W | FR | 39 | 9 | 15 | 24 | 0.615 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Danielle Marmer | 19U-AAA-W · 2012-13 · 0.70 PPG | 0.108 | Quinnipiac |
| Lindsay Roethke | USHS-MN-W · 2013-14 · 1.52 PPG | 0.027 | UConn |
| 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 |
| Sydney Brodt | USHS-MN-W · 2013-14 · 1.54 PPG | 0.600 | Minnesota Duluth |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Makenna Kadrlik | 2022-23 · 1.46 PPG | 0.375 | Wisconsin-River Falls | WIAC |
| Victoria Nelson | 2023-24 · 1.15 PPG | 0.480 | St. Scholastica | NCHA |
| Taylor Lesnar | 2024-25 · 1.50 PPG | 0.357 | St. Norbert | NCHA |
| Jenna Allen | 2023-24 · 0.93 PPG | 0.586 | Augsburg | MIAC |
| Ellie Newpower | 2023-24 · 0.79 PPG | 0.679 | 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.