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Sofia Ljung Elite Prospects ↗

Position: Defense DOB: 2004-01-23 Country: Sweden
Signed Professionally
Brynäs IF · SDHL

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2020-21 Brynäs IF SDHL 27 0 0 0 0.000 — — — —
2021-22 Brynäs IF SDHL 36 2 10 12 0.333 0.3850 0.3850 — —
2022-23 Brynäs IF SDHL 27 5 3 8 0.296 0.3422 0.3422 — —
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Mercyhurst D1 CHA-W — 37 3 8 11 0.297
2024-25 Mercyhurst D1 CHA-W — 38 0 9 9 0.237
2023-24 Mercyhurst D1 CHA-W — 38 4 11 15 0.395
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.39
2023-24 · Mercyhurst
+16.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
0%
NCAA D2/D3
85%
Club / Other

NCAAe Rankings

#416
Defenseman overall
#95
Defenseman born in 2004
#333
in SDHL

D1 Comparables

Lauren Kelly
NE-Prep-Girls · 2012-13 · 0.73 PPG
→ Dartmouth (0.21 D1 FR PPG)
0.34 Average D
NCAAe PPG
Taylor Marchin
NE-Prep-Girls · 2012-13 · 0.77 PPG
→ Yale (0.21 D1 FR PPG)
0.35 Average D
NCAAe PPG
Anna Kilponen
SMLIIGA-W · 2012-13 · 0.79 PPG
→ North Dakota (0.26 D1 FR PPG)
0.30 Average D
NCAAe PPG
Anna Wright
NE-Prep-Girls · 2012-13 · 0.86 PPG
→ Maine
0.40 No data
NCAAe PPG
Christa Vuglar
USHS-W · 2013-14 · 1.00 PPG
→ RIT (0.21 D1 FR PPG)
0.26 Average D
NCAAe PPG

D2/3 Comparables

Lauren Kelly
Dartmouth ·
0.208 Average D
actual D2/3 PPG
Taylor Marchin
Yale ·
0.207 Average D
actual D2/3 PPG
Anna Kilponen
North Dakota ·
0.257 Average D
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.