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Olivia VanSickle Elite Prospects ↗

Position: Defense DOB: 2009-01-27 Country: Canada
NCAA-W Projection
UConn
Verbal HEA-W D1W

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
0.23
Developing (<0.25)
Base NCAAe-W PPG0.2463
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencemedium
Seasons Used2

NCAA D3W

Projected PPG — Division Avg
0.84
Strong (0.65–1.00)
Base D3e-W PPG0.8901
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencemedium
Seasons Used2

D1W / D3W Likelihood

35%
NCAA D1W
5%
NCAA D3W
60%
Club / Other

Based on 40 comparable players

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
2024-25 OWHL-U22 3 0 1 1 0.333 0.1167 0.1222
2025-26 Stoney Creek Sabres OWHL-U22 41 12 26 38 0.927 0.3246 0.3291
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Briana Mastel NE-Prep-Girls · 2012-13 · 1.04 PPG 0.258 Harvard
Anna Kilponen SMLIIGA-W · 2012-13 · 0.79 PPG 0.257 North Dakota
Anna Wright NE-Prep-Girls · 2012-13 · 0.86 PPG 0.000 Maine
Taylor Marchin NE-Prep-Girls · 2012-13 · 0.77 PPG 0.207 Yale
Erin O'Connor USHS-W · 2012-13 · 2.85 PPG 0.758 Cornell

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Nora Carstensen 2023-24 · 2.07 PPG 0.593 Wisconsin-Eau Claire WIAC
Kylie Jones 2022-23 · 1.04 PPG 1.100 Wisconsin-River Falls WIAC
Reese Heitzman 2022-23 · 1.10 PPG 1.130 Saint Mary's MIAC
Cheyenne Abear 2016-17 · 1.36 PPG 0.875 Hamline MIAC
Alexa Niccum 2022-23 · 1.11 PPG 1.133 Wisconsin-River Falls 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.