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 |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Clinton High | USHS-W | 11 | 3 | 9 | 12 | 1.091 | 0.0901 | 0.1018 |
| 2022-23 | Clinton High | USHS-W | 10 | 7 | 4 | 11 | 1.100 | 0.0909 | 0.0945 |
| 2023-24 | Clinton High | USHS-W | 12 | 7 | 6 | 13 | 1.083 | 0.0895 | 0.0881 |
| 2024-25 | Northwood School | NE-Prep-Girls | 71 | 15 | 13 | 28 | 0.394 | 0.1281 | 0.1248 |
| 2025-26 | Northwood School | NE-Prep-Girls | 73 | 25 | 23 | 48 | 0.657 | 0.2136 | 0.1978 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2026-27 | RPI | ECAC-W | FR | 1 | 0 | 0 | 0 | 0.000 |
| 2026-27 | RPI | ECAC | — | 1 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Natalie Snodgrass | USHS-MN-W · 2013-14 · 1.33 PPG | 1.000 | UConn |
| Sylvia Marolt | USHS-MN-W · 2013-14 · 1.35 PPG | 0.000 | Bemidji State |
| Casey Leveillee | NE-Prep-Girls · 2012-13 · 0.63 PPG | 0.265 | Vermont |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Sophie Smith | 2024-25 · 1.04 PPG | 0.393 | Lake Forest | NCHA |
| Greer Hardacre | 2023-24 · 1.48 PPG | 0.286 | Saint Benedict | MIAC |
| Lula Swanson | 2022-23 · 1.26 PPG | 0.333 | Wisconsin-Eau Claire | WIAC |
| Malia Mckinnon | 2022-23 · 1.19 PPG | 0.346 | Bethel | MIAC |
| McKayla Romano | 2024-25 · 0.62 PPG | 0.680 | Lebanon Valley | MAC |
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.