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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Berwick | NE-Prep-Girls | 22 | 2 | 7 | 9 | 0.410 | 0.1332 | 0.1332 |
| 2017-18 | Berwick | NE-Prep-Girls | 25 | 12 | 7 | 19 | 0.760 | 0.2468 | 0.2468 |
| 2018-19 | Berwick | NE-Prep-Girls | 31 | 8 | 14 | 22 | 0.710 | 0.2306 | 0.2306 |
| 2019-20 | Berwick | NE-Prep-Girls | 30 | 6 | 12 | 18 | 0.600 | 0.1949 | 0.1949 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Lawrence | NCHA | SR | 23 | 5 | 7 | 12 | 0.522 |
| 2022-23 | Lawrence | NCHA | JR | 27 | 1 | 4 | 5 | 0.185 |
| 2021-22 | Lawrence | NCHA | SO | 23 | 4 | 1 | 5 | 0.217 |
| 2020-21 | Lawrence | NCHA | FR | 9 | 2 | 3 | 5 | 0.556 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Nicole Guagliardo | USHS-W · 2013-14 · 2.27 PPG | 0.156 | Mercyhurst |
| Sydney Brodt | USHS-MN-W · 2012-13 · 1.32 PPG | 0.600 | Minnesota Duluth |
| Jackie Pieper | USHS-MN-W · 2013-14 · 1.32 PPG | 0.324 | Merrimack |
| Joie Phelps | USHS-MN-W · 2013-14 · 1.26 PPG | 0.182 | Cornell |
| Natalie Snodgrass | USHS-MN-W · 2013-14 · 1.33 PPG | 1.000 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Malia Mckinnon | 2022-23 · 1.19 PPG | 0.346 | Bethel | MIAC |
| Sophie Smith | 2024-25 · 1.04 PPG | 0.393 | Lake Forest | NCHA |
| Greer Hardacre | 2023-24 · 1.48 PPG | 0.286 | Saint Benedict | MIAC |
| Laine Fischer | 2012-13 · 1.08 PPG | 0.375 | Gustavus Adolphus | MIAC |
| Mackenzie Martin | 2010-11 · 1.22 PPG | 0.333 | Middlebury | NESCAC |
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.