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Aleksia Nesset Elite Prospects ↗

Position: Defense DOB: 2007-04-22 Country: USA
NCAA-W Projection
Augsburg
Verbal MIAC D3W

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
0.04
Developing (<0.25)
Base NCAAe-W PPG0.0399
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencehigh
Seasons Used2

NCAA D3W

Projected PPG — Division Avg
0.11
Developing (<0.35)
Base D3e-W PPG0.1119
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencehigh
Seasons Used2

D1W / D3W Likelihood

5%
NCAA D1W
15%
NCAA D3W
80%
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
2022-23 16U-AAA-W 20 0 3 3 0.150 0.0536 0.0536
2024-25 Ridley College OWHL-U22 38 1 1 2 0.053 0.0184 0.0176
2025-26 19U-AAA-W 30 2 2 4 0.133 0.0547 0.0547
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Lauren Niska USHS-MN-W · 2012-13 · 0.36 PPG 0.000 Minnesota Duluth
Kate Glover USHS-MN-W · 2012-13 · 0.35 PPG 0.167 Harvard
Abby Ecker USHS-MN-W · 2012-13 · 0.42 PPG 0.000 Bemidji State
Ellie Larson USHS-MN-W · 2012-13 · 0.30 PPG 0.143 RIT
Jordan Jackson USHS-MN-W · 2012-13 · 0.44 PPG 0.130 Minnesota State

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Emma Halweg 2022-23 · 0.36 PPG Saint Benedict MIAC
Merrill Delich 2023-24 · 0.28 PPG 0.500 Saint Benedict MIAC
Nora McConnell 2023-24 · 0.39 PPG 0.385 St. Olaf MIAC
Kelsi Ries 2023-24 · 0.89 PPG 0.158 Augsburg MIAC
Kellsey Kludt 2024-25 · 0.68 PPG 0.200 St. Olaf 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.