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Samuel Sjölund Elite Prospects ↗

Position: Defense DOB: 2001-05-19 Country: Sweden
Signed Professionally
AIK · Allsvenskan

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
2017-18 AIK U20 SuperElit 9 0 1 1 0.111 0.0435 0.0477 0.1365 0.1497
2018-19 AIK U20 SuperElit 31 9 6 15 0.484 0.1896 0.1987 0.5944 0.6228
2019-20 AIK U20 SuperElit 19 2 9 11 0.579 0.2268 0.2268 0.7111 0.7111
2020-21 AIK U20 SuperElit 10 3 5 8 0.800 0.3134 0.3134 0.9826 0.9826
2021-22 Dubuque Fighting Saints USHL 56 9 26 35 0.625 0.3842 0.3475 1.8414 1.6656
■ 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 Western Michigan D1 NCHC SR 39 6 23 29 0.744
2024-25 Western Michigan D1 NCHC JR 42 4 25 29 0.691
2023-24 Western Michigan D1 NCHC SO 38 3 15 18 0.474
2022-23 Western Michigan D1 NCHC FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
5%
NCAA D2/D3
38%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#1868
Defenseman overall
#393
Defenseman born in 2001

D1 Comparables

Paul LaDue
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.44 Elite D
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.25 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.33 Average D
NCAAe PPG

D2/3 Comparables

Jeremy Dawes
St. Scholastica · 2007-08
1.036 Elite
actual D2/3 PPG
Brad Olson
Manhattanville · 2000-01
1.115 Elite
actual D2/3 PPG
Tyler Resch
Manhattanville · 2001-02
1.154 Elite
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.