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Amber Nazir Elite Prospects ↗

Position: Forward DOB: Unknown Country: Canada
NCAA-W Projection
Robert Morris
Verbal CHA-W D1W

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
0.24
Developing (<0.25)
Base NCAAe-W PPG0.2757
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencelow
Seasons Used1

NCAA D3W

Projected PPG — Division Avg
0.85
Strong (0.65–1.00)
Base D3e-W PPG0.9963
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencelow
Seasons Used1

D1W / D3W Likelihood

25%
NCAA D1W
15%
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 North York Storm OWHL-U22 3 0 0 0 0.000 N/A N/A
2025-26 North York Storm OWHL-U22 47 14 23 37 0.787 0.2757 0.2757
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Liz Schepers USHS-MN-W · 2013-14 · 1.84 PPG 0.410 Ohio State
Paige Voight USHS-MN-W · 2013-14 · 1.76 PPG 0.559 Merrimack
Amy Petersen USHS-MN-W · 2012-13 · 1.92 PPG 0.784 Penn State
Mariah Gardner USHS-MN-W · 2013-14 · 1.74 PPG 0.071 Minnesota State
Emily Gunderson USHS-MN-W · 2012-13 · 1.71 PPG 0.171 Lindenwood

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Hadley Malcolmson 2018-19 · 2.75 PPG 0.364 Wisconsin-River Falls WIAC
Carley Daly 2018-19 · 1.41 PPG 0.704 Amherst NESCAC
Madison Morton 2018-19 · 1.00 PPG 1.000 Elmira UCHC
Brooke Walters 2015-16 · 1.40 PPG 0.714 Wisconsin-River Falls WIAC
Lindsey Hays 2018-19 · 2.40 PPG 0.417 St. Catherine 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.