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 | Durham West Jr. Lightning | OWHL-U22 | 1 | 1 | 0 | 1 | 1.000 | 0.3496 | 0.3496 |
| 2022-23 | Durham West Jr. Lightning | OWHL-U22 | 43 | 35 | 29 | 64 | 1.488 | 0.5203 | 0.5203 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2026-27 | Colgate | ECAC-W | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2025-26 | Colgate | ECAC-W | JR | 36 | 5 | 9 | 14 | 0.389 |
| 2024-25 | Colgate | ECAC-W | SO | 39 | 10 | 18 | 28 | 0.718 |
| 2023-24 | Colgate | ECAC-W | FR | 40 | 7 | 16 | 23 | 0.575 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kelly Pannek | USHS-MN-W · 2012-13 · 3.45 PPG | 1.073 | Minnesota |
| Nicole Schammel | USHS-MN-W · 2013-14 · 3.44 PPG | 0.611 | Minnesota State |
| Emma Nuutinen | SMLIIGA-W · 2012-13 · 1.25 PPG | 0.559 | North Dakota |
| Saana Valkama | SMLIIGA-W · 2012-13 · 1.43 PPG | 0.314 | Vermont |
| Jessie Aney | USHS-MN-W · 2012-13 · 3.17 PPG | 0.267 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Alex Hantge | 2016-17 · 1.33 PPG | 1.417 | Wisconsin-River Falls | WIAC |
| Chloe Kinsel | 2011-12 · 1.76 PPG | 1.067 | Wisconsin-River Falls | NCHA |
| Amanda Conway | 2015-16 · 1.54 PPG | 1.217 | Norwich | NEHC |
| Kristin Chivers | 2012-13 · 2.17 PPG | 0.862 | Elmira | UCHC |
| Mackaylan McGown | 2022-23 · 2.67 PPG | 0.704 | Concordia (WI) | 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.