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 | Eden Prairie High (W) | USHS-MN-W | 25 | 3 | 7 | 10 | 0.400 | 0.0604 | 0.0604 |
| 2016-17 | Eden Prairie High (W) | USHS-MN-W | 25 | 3 | 8 | 11 | 0.440 | 0.0664 | 0.0664 |
| 2017-18 | Eden Prairie High (W) | USHS-MN-W | 25 | 2 | 8 | 10 | 0.400 | 0.0604 | 0.0604 |
| 2018-19 | Eden Prairie High (W) | USHS-MN-W | 24 | 4 | 5 | 9 | 0.375 | 0.0566 | 0.0566 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2021-22 | Franklin Pierce | NEWHA | JR | 32 | 12 | 9 | 21 | 0.656 |
| 2020-21 | Franklin Pierce | NEWHA | SO | 2 | 1 | 2 | 3 | 1.500 |
| 2019-20 | Franklin Pierce | NEWHA | FR | 32 | 13 | 20 | 33 | 1.031 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Taylor Heise | USHS-MN-W · 2012-13 · 0.36 PPG | 0.897 | Minnesota |
| Sierra Smith | USHS-MN-W · 2012-13 · 0.40 PPG | 0.000 | Minnesota |
| Laura Anderson | USHS-MN-W · 2012-13 · 0.34 PPG | 0.290 | Yale |
| Presley Norby | USHS-MN-W · 2012-13 · 0.33 PPG | 0.525 | Wisconsin |
| Rose Rather | NE-Prep-Girls · 2012-13 · 0.20 PPG | 0.824 | Holy Cross |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kellsey Kludt | 2024-25 · 0.68 PPG | 0.200 | St. Olaf | MIAC |
| Merrill Delich | 2023-24 · 0.28 PPG | 0.500 | Saint Benedict | MIAC |
| Emma Halweg | 2022-23 · 0.36 PPG | — | Saint Benedict | MIAC |
| Kelsi Ries | 2023-24 · 0.89 PPG | 0.158 | Augsburg | MIAC |
| Nora McConnell | 2023-24 · 0.39 PPG | 0.385 | St. Olaf | 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.