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Zoe Ordanis Elite Prospects ↗

Position: Forward DOB: 2009-11-03 Country: Canada
NCAA-W Projection
Vermont
Verbal HEA-W D1W

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
0.18
Developing (<0.25)
Base NCAAe-W PPG0.2116
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencelow
Seasons Used1

NCAA D3W

Projected PPG — Division Avg
0.65
Strong (0.65–1.00)
Base D3e-W PPG0.7647
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencelow
Seasons Used1

D1W / D3W Likelihood

15%
NCAA D1W
15%
NCAA D3W
70%
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 2 0 0 0 0.000 N/A N/A
2025-26 Central York Panthers OWHL-U22 48 11 18 29 0.604 0.2116 0.2116
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Mariah Gardner USHS-MN-W · 2012-13 · 1.40 PPG 0.071 Minnesota State
Abby Halluska USHS-MN-W · 2013-14 · 1.40 PPG 0.314 Bemidji State
Gabby Billing USHS-MN-W · 2013-14 · 1.40 PPG 0.310 Dartmouth
Charly Dalhquist USHS-MN-W · 2013-14 · 1.40 PPG 0.241 North Dakota
Katie Detert USHS-W · 2013-14 · 2.50 PPG 0.000 St. Cloud State

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Lauren Ballinger 2023-24 · 1.38 PPG 0.556 Wisconsin-Eau Claire WIAC
Haley Olmstead 2010-11 · 1.83 PPG 0.417 Wisconsin-Superior WIAC
Jordan Trapp 2016-17 · 1.48 PPG 0.517 Lake Forest NCHA
Mollie Wise 2015-16 · 2.20 PPG 0.348 Saint Benedict MIAC
Emily Olsthoorn 2023-24 · 0.93 PPG 0.818 Colby NESCAC

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.