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Lauren Donnellan Elite Prospects ↗

Position: Defense DOB: Unknown Country: USA
NCAA-W Projection
No commitment set

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
0.16
Developing (<0.25)
Base NCAAe-W PPG0.1653
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencehigh
Seasons Used1

NCAA D3W

Projected PPG — Division Avg
0.36
Average (0.35–0.65)
Base D3e-W PPG0.3863
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencehigh
Seasons Used1

D1W / D3W Likelihood

Career Trajectory
Dashed = raw PPG  ·  ■ Solid = age-adjusted NCAAe-W PPG  ·  ■ Green = actual college PPG

Pre-College Seasons

Most women's college players come directly from high school hockey. Junior or HS season stats below (when available on Elite Prospects).

SeasonTeamLeagueGP GAPtsPPG NCAAe-W PPGAge-Adjusted
2016-17 Hayward High USHS-W 20 6 15 21 1.050 0.0891 0.0891
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

College Seasons

SeasonSchoolConferenceYear GPGAPtsPPG
2021-22 Hamline MIAC FR 10 1 3 4 0.400
2020-21 Franklin Pierce NEWHA FR 2 0 0 0 0.000

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Andrea Olson USHS-MN-W · 2012-13 · 0.58 PPG 0.056 Merrimack
Arianna Kosakowski NE-Prep-Girls · 2012-13 · 0.27 PPG 0.000 Union
Emma Turbyville NE-Prep-Girls · 2012-13 · 0.28 PPG 0.040 St. Cloud State
Amanda Kimmerle USHS-MN-W · 2012-13 · 0.60 PPG 0.059 RPI
Megan Hinze USHS-MN-W · 2012-13 · 0.60 PPG 0.182 Minnesota State

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Olivia Patnode 2022-23 · 0.63 PPG — Saint Mary's MIAC
Macy Janssen 2022-23 · 0.74 PPG 0.333 Gustavus Adolphus MIAC
Jorja Jusczak 2023-24 · 1.00 PPG 0.240 Saint Benedict MIAC
Lucy Peterson 2022-23 · 0.63 PPG — Wisconsin-Eau Claire WIAC
Maddy Skogman 2023-24 · 0.90 PPG 0.280 Concordia 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.