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Sara Rajewsky Elite Prospects ↗

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

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
0.18
Developing (<0.25)
Base NCAAe-W PPG0.2064
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencehigh
Seasons Used1

NCAA D3W

Projected PPG — Division Avg
0.42
Average (0.35–0.65)
Base D3e-W PPG0.4943
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
2010-11 Morris/Benson Area Storm (W) USHS-MN-W 24 44 47 91 3.792 0.5725 0.5725
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

College Seasons

SeasonSchoolConferenceYear GPGAPtsPPG
2012-13 Augsburg MIAC FR 10 1 0 1 0.100

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Saana Valkama SMLIIGA-W · 2012-13 · 1.43 PPG 0.314 Vermont
Kelly Pannek USHS-MN-W · 2012-13 · 3.45 PPG 1.073 Minnesota
Nicole Schammel USHS-MN-W · 2013-14 · 3.44 PPG 0.611 Minnesota State
Brooke Avery NE-Prep-Girls · 2012-13 · 2.00 PPG 0.062 New Hampshire
Jessie Aney USHS-MN-W · 2013-14 · 4.36 PPG 0.267 UConn

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Maddie Hulter 2022-23 · 2.24 PPG 0.615 Wisconsin-Eau Claire WIAC
Kristina Press 2017-18 · 2.08 PPG 0.667 Gustavus Adolphus MIAC
Emma Schmitz 2017-18 · 2.08 PPG 0.667 Wisconsin-River Falls WIAC
Celia Midtbo 2021-22 · 2.08 PPG 0.667 Saint Mary's MIAC
Emma Peterson 2013-14 · 2.52 PPG 0.552 Wisconsin-Eau Claire 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.