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 | Anaheim Lady Ducks 16U AAA | 16U-AAA-W | 57 | 23 | 21 | 44 | 0.772 | 0.2455 | 0.2455 |
| 2017-18 | Anaheim Lady Ducks 16U AAA | 16U-AAA-W | 45 | 15 | 20 | 35 | 0.778 | 0.2474 | 0.2474 |
| 2018-19 | Anaheim Lady Ducks 19U AAA | 19U-AAA-W | 47 | 22 | 26 | 48 | 1.021 | 0.3200 | 0.3200 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | Lake Forest | NCHA | SR | 28 | 10 | 13 | 23 | 0.821 |
| 2021-22 | Lake Forest | NCHA | JR | 24 | 14 | 9 | 23 | 0.958 |
| 2020-21 | Lake Forest | NCHA | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Lake Forest | NCHA | FR | 26 | 8 | 1 | 9 | 0.346 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sylvia Marolt | USHS-MN-W · 2012-13 · 2.12 PPG | 0.000 | Bemidji State |
| Demi Gardner | USHS-MN-W · 2012-13 · 2.12 PPG | 0.250 | Minnesota State |
| Taylor Williamson | USHS-MN-W · 2013-14 · 2.14 PPG | 0.395 | Minnesota |
| Rebekah Kolstad | USHS-MN-W · 2012-13 · 2.09 PPG | 0.057 | North Dakota |
| Catherine Skaja | USHS-MN-W · 2012-13 · 2.08 PPG | 0.342 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lauren Ballinger | 2023-24 · 1.38 PPG | 0.556 | Wisconsin-Eau Claire | WIAC |
| Taylyn Cope | 2021-22 · 1.79 PPG | 0.440 | Concordia | MIAC |
| Elizabeth Tabaka | 2014-15 · 1.28 PPG | 0.615 | Augsburg | MIAC |
| Alyson Niebur | 2015-16 · 1.32 PPG | 0.600 | Wisconsin-River Falls | WIAC |
| Taylor Thompson | 2013-14 · 0.67 PPG | 1.185 | St. Scholastica | 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.