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Brianna Seebold Elite Prospects ↗

Position: Forward DOB: Unknown Country: USA

NCAA-W Projection

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NCAA Division I Women's

Projected PPG — WCHA-W

0.15

Developing (<0.25)

Base NCAAe-W PPG0.1803

Conf. Strength0.997

Year Adj (FR)×0.80

Confidencehigh

Seasons Used2

NCAA D3W

Projected PPG — Division Avg

0.36

Average (0.35–0.65)

Base D3e-W PPG0.4219

Conf. Strength1.000

Year Adj (FR)×0.80

Confidencehigh

Seasons Used2

D1W / D3W Likelihood

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).

Season	Team	League	GP	G	A	Pts	PPG	NCAAe-W PPG	Age-Adjusted
2010-11	Detroit Lakes High	USHS-MN-W	24	29	19	48	2.000	0.3020	0.3020
2011-12	Detroit Lakes High	USHS-MN-W	22	25	19	44	2.000	0.3020	0.3020

NCAAe-W = points/game translated to NCAA-W equivalent · COVID-flagged seasons in yellow

College Seasons

Season	School	Conference	Year	GP	G	A	Pts	PPG
2012-13	Gustavus Adolphus	MIAC	FR	27	4	3	7	0.259

Historical Comparables — NCAA D1W

Player	League · Season · PPG	FR College PPG	School
Lindsay Roethke	USHS-MN-W · 2012-13 · 1.96 PPG	0.027	UConn
Emily Bergland	USHS-MN-W · 2013-14 · 2.04 PPG	0.114	Bemidji State
Catherine Skaja	USHS-MN-W · 2012-13 · 2.08 PPG	0.342	Minnesota
Rebekah Kolstad	USHS-MN-W · 2012-13 · 2.09 PPG	0.057	North Dakota
Sylvia Marolt	USHS-MN-W · 2012-13 · 2.12 PPG	0.000	Bemidji State

Historical Comparables — NCAA D3W

Player	Junior Season · PPG	FR College PPG	School	Conference
Kaiya Sandy	2024-25 · 1.27 PPG	0.571	Hamline	MIAC
Aimee Briand	2012-13 · 0.90 PPG	0.810	Castleton	NEHC
Paige Lysne	2010-11 · 1.84 PPG	—	Wisconsin-Eau Claire	WIAC
Emily Wroblewski	2022-23 · 1.27 PPG	0.571	Salve Regina	NEHC
Sofia Pittis	2023-24 · 1.17 PPG	0.621	Nazareth	UCHC

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.