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 | L-L Étoiles M18 AAA | QMAAA-W | 28 | 11 | 17 | 28 | 1.000 | 0.1461 | 0.1422 |
| 2019-20 | John Abbott College | QCHL-W | 22 | 6 | 6 | 12 | 0.545 | 0.1480 | 0.1480 |
| 2020-21 | John Abbott College | QCHL-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | John Abbott College | QCHL-W | 29 | 10 | 12 | 22 | 0.759 | 0.2059 | 0.1987 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Providence | HEA-W | SR | 33 | 1 | 1 | 2 | 0.061 |
| 2024-25 | Providence | HEA-W | JR | 30 | 3 | 4 | 7 | 0.233 |
| 2023-24 | Providence | HEA-W | SO | 35 | 2 | 4 | 6 | 0.171 |
| 2022-23 | Providence | HEA-W | FR | 34 | 1 | 7 | 8 | 0.235 |
| 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 |
| Nicole Guagliardo | USHS-W · 2013-14 · 2.27 PPG | 0.156 | Mercyhurst |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Emily Ach | 2015-16 · 1.64 PPG | 0.407 | Augsburg | MIAC |
| Jessica VonRuden | 2014-15 · 1.00 PPG | 0.667 | Adrian | NCHA |
| Laura Denchfield | 2016-17 · 1.00 PPG | 0.667 | St. Catherine | MIAC |
| Ava Glab | 2022-23 · 0.67 PPG | 1.000 | Arcadia | MAC |
| Clara Billings | 2018-19 · 1.70 PPG | 0.393 | 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.