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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Sartell/Sauk Rapids High (W) | USHS-MN-W | 25 | 16 | 19 | 35 | 1.400 | 0.2114 | 0.2114 |
| 2016-17 | Sartell/Sauk Rapids High (W) | USHS-MN-W | 25 | 20 | 23 | 43 | 1.720 | 0.2597 | 0.2597 |
| 2017-18 | Sartell/Sauk Rapids High (W) | USHS-MN-W | 25 | 24 | 16 | 40 | 1.600 | 0.2416 | 0.2416 |
| 2018-19 | Sartell/Sauk Rapids High (W) | USHS-MN-W | 25 | 26 | 10 | 36 | 1.440 | 0.2174 | 0.2174 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2021-22 | Wisconsin-River Falls | WIAC | JR | 9 | 2 | 3 | 5 | 0.556 |
| 2020-21 | Wisconsin-River Falls | WIAC | SO | 12 | 4 | 4 | 8 | 0.667 |
| 2019-20 | Wisconsin-River Falls | WIAC | FR | 21 | 8 | 7 | 15 | 0.714 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Nicole Guagliardo | USHS-W · 2012-13 · 2.54 PPG | 0.156 | Mercyhurst |
| Jacqueline Kaasa | USHS-MN-W · 2013-14 · 1.46 PPG | 0.143 | Bemidji State |
| Aly Tremblay | USHS-W · 2012-13 · 2.61 PPG | 0.030 | RPI |
| Katie Detert | USHS-W · 2013-14 · 2.50 PPG | 0.000 | St. Cloud State |
| Danielle Marmer | 19U-AAA-W · 2012-13 · 0.70 PPG | 0.108 | Quinnipiac |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Ellie Newpower | 2023-24 · 0.79 PPG | 0.679 | Hamline | MIAC |
| Jenna Allen | 2023-24 · 0.93 PPG | 0.586 | Augsburg | MIAC |
| McKenzie Keller | 2022-23 · 2.21 PPG | 0.238 | Wisconsin-Eau Claire | WIAC |
| Shauna Bollinger | 2011-12 · 1.64 PPG | 0.321 | Wisconsin-Stevens Point | NCHA |
| Taylor Lesnar | 2024-25 · 1.50 PPG | 0.357 | St. Norbert | NCHA |
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.