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Briella Van Dusseldorp Elite Prospects ↗

Position: Forward DOB: 2007-03-02 Country: USA Height: 5'9" (175 cm)
NCAA-W Projection
Saint Anselm
Verbal NEWHA D1W

Set Commitment

NCAA Division I Women's

Projected PPG — NEWHA
0.29
Average (0.25–0.45)
Base NCAAe-W PPG0.3364
Conf. Strength1.010
Year Adj (FR)×0.80
Confidencelow
Seasons Used1

NCAA D3W

Projected PPG — Division Avg
0.71
Strong (0.65–1.00)
Base D3e-W PPG0.8291
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencelow
Seasons Used1

D1W / D3W Likelihood

12%
NCAA D1W
2%
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
2025-26 New Hampshire Mountain Cats 19U 19U-AAA-W 37 23 19 42 1.135 0.3556 0.3364
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Jordan McLaughlin USHS-MN-W · 2013-14 · 2.22 PPG 0.294 Minnesota State
Catherine Skaja USHS-MN-W · 2013-14 · 2.21 PPG 0.342 Minnesota
Carly Bullock USHS-MN-W · 2013-14 · 2.20 PPG 0.812 Princeton
Karlie Lund USHS-MN-W · 2013-14 · 2.20 PPG 1.182 Princeton
Brooklynn Schugel USHS-MN-W · 2013-14 · 2.26 PPG 0.270 Minnesota Duluth

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Amanda Flemming 2014-15 · 1.48 PPG 0.560 Concordia MIAC
Samantha Young 2015-16 · 1.83 PPG 0.455 Wisconsin-River Falls WIAC
Carley Daly 2016-17 · 1.18 PPG 0.704 Amherst NESCAC
Madi Nolan 2014-15 · 1.00 PPG 0.826 Wisconsin-River Falls WIAC
Kayla Kasel 2016-17 · 1.71 PPG 0.483 St. Scholastica 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.