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Mac Johnson 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
0.11
Developing (<0.25)
Base NCAAe-W PPG0.1319
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencehigh
Seasons Used2

NCAA D3W

Projected PPG — Division Avg
0.26
Developing (<0.35)
Base D3e-W PPG0.3050
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
2011-12 North Wright County USHS-MN-W 24 3 4 7 0.292 0.0440 0.0440
2012-13 North Wright County USHS-MN-W 25 11 5 16 0.640 0.0966 0.0966
2013-14 North Wright County USHS-MN-W 23 18 10 28 1.217 0.1838 0.1838
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

College Seasons

SeasonSchoolConferenceYear GPGAPtsPPG
2015-16 St. Cloud State WCHA-W FR 8 0 1 1 0.125

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Natalie Snodgrass USHS-MN-W · 2012-13 · 1.20 PPG 1.000 UConn
Kaylee Druk USHS-MN-W · 2012-13 · 1.20 PPG 0.000 Syracuse
Tianna Gunderson USHS-MN-W · 2013-14 · 1.20 PPG 0.069 Minnesota
Presley Norby USHS-MN-W · 2013-14 · 1.20 PPG 0.525 Wisconsin
Kiki Radke USHS-MN-W · 2013-14 · 1.24 PPG 0.273 Bemidji State

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Molly Pohlkamp 2023-24 · 0.48 PPG 0.920 Wisconsin-Stevens Point WIAC
Kylie Scott 2022-23 · 1.04 PPG 0.440 Gustavus Adolphus MIAC
Daelyn Williams 2024-25 · 0.80 PPG 0.545 Salem State MASCAC
Keira Reckley 2023-24 · 0.53 PPG 0.846 St. John Fisher UCHC
Taylor Munson 2014-15 · 1.40 PPG 0.318 Colby NESCAC

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.