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Josefin Bouveng Elite Prospects ↗

Position: Forward DOB: 2001-05-15 Country: Sweden
NCAA-W Projection
No commitment set

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
1.40
Elite (0.70+)
Base NCAAe-W PPG1.3047
Conf. Strength0.997
Year Adj (FR)×1.00
Confidencehigh
Seasons Used2

NCAA D3W

Projected PPG — Division Avg
2.37
Elite (1.00+)
Base D3e-W PPG2.7673
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencehigh
Seasons Used2

D1W / D3W Likelihood

22%
NCAA D1W
0%
NCAA D3W
78%
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
2017-18 Djurgårdens IF SDHL 33 6 6 12 0.364 0.4252 0.4252
2018-19 Djurgårdens IF SDHL 27 14 12 26 0.963 1.1262 1.1262
2019-20 Djurgårdens IF SDHL 25 8 4 12 0.480 0.5614 0.5614
2020-21 Brynäs IF SDHL 36 24 23 47 1.306 1.5269 1.5269
2021-22 Brynäs IF SDHL 28 24 22 46 1.643 1.9214 1.9214
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

College Seasons

SeasonSchoolConferenceYear GPGAPtsPPG
2025-26 Minnesota WCHA-W SR 31 15 28 43 1.387
2024-25 Minnesota WCHA-W JR 39 13 20 33 0.846
2023-24 Minnesota WCHA-W SO 39 19 31 50 1.282
2022-23 Minnesota WCHA-W FR 32 9 7 16 0.500

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Abbey Luth 2016-17 · 3.26 PPG 1.107 William Smith NEHC
Sophie Rausch 2018-19 · 2.72 PPG 1.346 Hamline MIAC
Nicole Unsworth 2014-15 · 3.75 PPG 0.960 SUNY Plattsburgh SUNYAC
Sophia Hess 2024-25 · 1.86 PPG 1.935 Wisconsin-River Falls WIAC
Hailey Holland 2015-16 · 3.67 PPG 1.036 Gustavus Adolphus 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.