Based on 34 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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Metropolitan Riveters | PHF | 18 | 2 | 8 | 10 | 0.556 | N/A | N/A |
| 2017-18 | Metropolitan Riveters | PHF | 16 | 9 | 13 | 22 | 1.375 | N/A | N/A |
| 2018-19 | Metropolitan Riveters | PHF | 16 | 2 | 2 | 4 | 0.250 | N/A | N/A |
| 2024-25 | MoDo Hockey | SDHL | 14 | 1 | 1 | 2 | 0.143 | 0.1671 | 0.1064 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2015-16 | RPI | ECAC-W | SR | 34 | 13 | 11 | 24 | 0.706 |
| 2014-15 | RPI | ECAC-W | JR | 2 | 0 | 0 | 0 | 0.000 |
| 2013-14 | RPI | ECAC-W | SO | 32 | 7 | 13 | 20 | 0.625 |
| 2012-13 | RPI | ECAC-W | FR | 36 | 13 | 14 | 27 | 0.750 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kippin Keller | USHS-MN-W · 2012-13 · 0.68 PPG | 0.056 | Minnesota |
| Kourtney Menches | NE-Prep-Girls · 2013-14 · 0.34 PPG | 0.083 | Vermont |
| Janna Haeg | USHS-MN-W · 2012-13 · 0.76 PPG | 0.303 | St. Cloud State |
| Kendall Williamson | USHS-MN-W · 2012-13 · 0.76 PPG | 0.000 | Colgate |
| Nicole Rash | USHS-MN-W · 2012-13 · 0.76 PPG | 0.000 | Lindenwood |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Megan Delay | 2021-22 · 0.50 PPG | 0.458 | SUNY Plattsburgh | SUNYAC |
| Rebecca Brown | 2023-24 · 0.14 PPG | — | Norwich | NEHC |
| Mae Olshansky | 2025-26 · 0.35 PPG | — | SUNY Plattsburgh | SUNYAC |
| Olivia Stewart | 2025-26 · 0.34 PPG | 0.519 | Southern Maine | NEHC |
| Peppi Kähkönen | 2025-26 · 0.17 PPG | — | 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.