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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | New Ulm High (W) | USHS-MN-W | 25 | 3 | 4 | 7 | 0.280 | 0.0423 | 0.0423 |
| 2016-17 | New Ulm High (W) | USHS-MN-W | 24 | 12 | 6 | 18 | 0.750 | 0.1132 | 0.1132 |
| 2017-18 | New Ulm High (W) | USHS-MN-W | 25 | 19 | 24 | 43 | 1.720 | 0.2597 | 0.2597 |
| 2018-19 | New Ulm High (W) | USHS-MN-W | 25 | 29 | 10 | 39 | 1.560 | 0.2356 | 0.2356 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wisconsin-Stevens Point | WIAC | SR | 27 | 2 | 1 | 3 | 0.111 |
| 2021-22 | Wisconsin-Stevens Point | WIAC | JR | 25 | 3 | 4 | 7 | 0.280 |
| 2020-21 | Wisconsin-Stevens Point | WIAC | SO | 10 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Wisconsin-Stevens Point | WIAC | FR | 28 | 6 | 3 | 9 | 0.321 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Brooklynn Schugel | USHS-MN-W · 2012-13 · 1.54 PPG | 0.270 | Minnesota Duluth |
| Taylor Wente | USHS-MN-W · 2013-14 · 1.54 PPG | 0.658 | Minnesota |
| Sydney Brodt | USHS-MN-W · 2013-14 · 1.54 PPG | 0.600 | Minnesota Duluth |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Grace Karakas | 2023-24 · 1.38 PPG | 0.417 | SUNY Cortland | SUNYAC |
| Abigail Chamernick | 2022-23 · 1.17 PPG | 0.500 | Hamline | MIAC |
| Brittany Sticha | 2012-13 · 1.78 PPG | 0.320 | Concordia (WI) | NCHA |
| Kelsey Ross | 2018-19 · 0.83 PPG | 0.692 | St. Norbert | NCHA |
| Marina Chapman | 2012-13 · 1.04 PPG | 0.550 | Gustavus Adolphus | MIAC |
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.