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Katie Carlson Elite Prospects ↗

Position: Defense DOB: 1998-02-14 Country: USA
NCAA-W Projection
No commitment set

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
0.10
Developing (<0.25)
Base NCAAe-W PPG0.1103
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencehigh
Seasons Used2

NCAA D3W

Projected PPG — Division Avg
0.24
Developing (<0.35)
Base D3e-W PPG0.2514
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
2012-13 Camb-Isanti/Mora/PC (W) USHS-MN-W 22 3 1 4 0.182 0.0275 0.0275
2013-14 Camb-Isanti/Mora/PC (W) USHS-MN-W 24 5 6 11 0.458 0.0692 0.0692
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

College Seasons

SeasonSchoolConferenceYear GPGAPtsPPG
2019-20 Hamline MIAC SO 11 1 1 2 0.182
2018-19 Hamline MIAC FR 29 6 8 14 0.483
2017-18 RIT CHA-W FR 5 0 0 0 0.000

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Tristen Truax USHS-MN-W · 2012-13 · 0.46 PPG 0.167 Minnesota State
Jordan Jackson USHS-MN-W · 2012-13 · 0.44 PPG 0.130 Minnesota State
Kelsey Crow USHS-MN-W · 2012-13 · 0.48 PPG 0.160 Penn State
Jessica Adolfsson SDHL · 2012-13 · 0.06 PPG 0.343 Penn State
Abby Ecker USHS-MN-W · 2012-13 · 0.42 PPG 0.000 Bemidji State

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Lauren Riccobelli 2024-25 · 0.52 PPG 0.320 SUNY Oswego SUNYAC
Hunter Reardon 2022-23 · 0.42 PPG 0.407 Adrian NCHA
Bella Webb 2022-23 · 0.56 PPG 0.316 Bethel MIAC
Ava Johansson 2022-23 · 1.23 PPG 0.130 Wisconsin-Eau Claire WIAC
Lily Anderson 2022-23 · 0.43 PPG 0.385 Endicott NEHC

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.