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Hannah Currin Elite Prospects ↗

Position: Forward DOB: Unknown Country: USA
NCAA-W Projection
No commitment set

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
0.17
Developing (<0.25)
Base NCAAe-W PPG0.1967
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencehigh
Seasons Used2

NCAA D3W

Projected PPG — Division Avg
0.39
Average (0.35–0.65)
Base D3e-W PPG0.4530
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).

SeasonTeamLeagueGP GAPtsPPG NCAAe-W PPGAge-Adjusted
2013-14 Bloomington Jefferson High (W) USHS-MN-W 25 12 15 27 1.080 0.1631 0.1631
2014-15 Bloomington Jefferson High (W) USHS-MN-W 25 21 13 34 1.360 0.2054 0.2054
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

College Seasons

SeasonSchoolConferenceYear GPGAPtsPPG
2016-17 Wisconsin-Superior WIAC FR 24 5 6 11 0.458

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Sena Hanson USHS-MN-W · 2012-13 · 1.36 PPG 0.630 Brown
Savannah Quandt USHS-MN-W · 2012-13 · 1.36 PPG 0.111 Minnesota
Casey Leveillee NE-Prep-Girls · 2012-13 · 0.63 PPG 0.265 Vermont
Sylvia Marolt USHS-MN-W · 2013-14 · 1.35 PPG 0.000 Bemidji State
Natalie Snodgrass USHS-MN-W · 2013-14 · 1.33 PPG 1.000 UConn

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Gracyn Knowles 2024-25 · 0.92 PPG 0.548 Wisconsin-River Falls WIAC
Kaleigh Martinson 2012-13 · 0.84 PPG 0.593 Wisconsin-Superior WIAC
Greta Nundahl 2013-14 · 0.96 PPG 0.519 St. Scholastica NCHA
Krista Federow 2012-13 · 0.65 PPG 0.760 William Smith NEHC
Anna Carman 2010-11 · 1.24 PPG 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.