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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Pursuit of Excellence | CSSHL-U18W | 25 | 3 | 5 | 8 | 0.320 | 0.0733 | 0.0733 |
| 2019-20 | Pursuit of Excellence | CSSHL-U18W | 10 | 4 | 2 | 6 | 0.600 | 0.1375 | 0.1375 |
| 2020-21 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 7 | 2 | 1 | 3 | 0.429 | 0.0982 | 0.0982 |
| 2021-22 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 26 | 15 | 12 | 27 | 1.038 | 0.2379 | 0.2379 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Stonehill | NEWHA | SR | 37 | 3 | 1 | 4 | 0.108 |
| 2024-25 | Stonehill | NEWHA | JR | 38 | 2 | 1 | 3 | 0.079 |
| 2023-24 | Stonehill | NEWHA | SO | 32 | 0 | 0 | 0 | 0.000 |
| 2022-23 | Stonehill | NEWHA | FR | 35 | 3 | 6 | 9 | 0.257 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kiki Radke | USHS-MN-W · 2012-13 · 1.58 PPG | 0.273 | Bemidji State |
| Brooke Madsen | USHS-MN-W · 2012-13 · 1.60 PPG | 0.600 | Penn State |
| Lydia Passolt | USHS-MN-W · 2013-14 · 1.60 PPG | 0.095 | Bemidji State |
| Sara Hjalmarsson | SDHL · 2012-13 · 0.20 PPG | 0.657 | Providence |
| Demi Gardner | USHS-MN-W · 2013-14 · 1.55 PPG | 0.250 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lauren Ballinger | 2023-24 · 1.38 PPG | 0.556 | Wisconsin-Eau Claire | WIAC |
| Anya Hafiz | 2015-16 · 1.12 PPG | 0.684 | Saint Mary's (MN) | MIAC |
| Jordan Trapp | 2016-17 · 1.48 PPG | 0.517 | Lake Forest | NCHA |
| Mollie Wise | 2015-16 · 2.20 PPG | 0.348 | Saint Benedict | MIAC |
| Haley Olmstead | 2010-11 · 1.83 PPG | 0.417 | Wisconsin-Superior | WIAC |
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.