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Hayden Olson Elite Prospects ↗

Position: Defense DOB: Unknown Country: USA
NCAA-W Projection
Concordia
Verbal MIAC D3W

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
0.02
Developing (<0.25)
Base NCAAe-W PPG0.0233
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencehigh
Seasons Used2

NCAA D3W

Projected PPG — Division Avg
0.05
Developing (<0.35)
Base D3e-W PPG0.0563
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencehigh
Seasons Used2

D1W / D3W Likelihood

0%
NCAA D1W
15%
NCAA D3W
85%
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 Eagan High USHS-MN-W 25 1 0 1 0.040 0.0060 0.0060
2023-24 Eagan High USHS-MN-W 26 1 5 6 0.231 0.0349 0.0349
2024-25 Eagan High USHS-MN-W 26 1 0 1 0.038 0.0058 0.0058
2025-26 Eagan High USHS-MN-W 26 1 5 6 0.231 0.0349 0.0349
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Paige Michel NE-Prep-Girls · 2012-13 · 0.11 PPG 0.348 UConn
Brinna Dochniak USHS-MN-W · 2012-13 · 0.24 PPG 0.111 RIT
Grace Bowlby USHS-MN-W · 2012-13 · 0.24 PPG 0.316 Wisconsin
Heather Olson USHS-MN-W · 2012-13 · 0.21 PPG 0.143 Bemidji State
Xylia Lang USHS-MN-W · 2012-13 · 0.20 PPG 0.091 Lindenwood

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Alexis Larsen 2024-25 · 0.83 PPG 0.083 Wisconsin-River Falls WIAC
Hannah Peterson 2024-25 · 0.59 PPG 0.130 Hamline MIAC
Preston Gabriel 2024-25 · 0.22 PPG SUNY Cortland SUNYAC
Lydia Walsh 2022-23 · 0.25 PPG Elmira UCHC
Jenna Fryar 2022-23 · 0.19 PPG Lake Forest NCHA

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.