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Niklas Gudmundson Elite Prospects ↗

Position: Forward DOB: 2005-05-22 Country: USA
Northern Michigan
CCHA D1

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
2021-22 Olds Grizzlys AJHL 44 6 10 16 0.364 0.1220 0.1371 0.3365 0.3782
2022-23 Olds Grizzlys AJHL 51 11 15 26 0.510 0.1710 0.1837 0.4718 0.5069
2023-24 Fairbanks Ice Dogs NAHL 31 8 4 12 0.387 0.1422 0.1491 0.4086 0.4285
2024-25 Winkler Flyers MJHL 36 19 26 45 1.250 0.2406 0.2347 0.7883 0.7689
2025-26 Winkler Flyers MJHL 48 29 45 74 1.542 0.2968 0.2753 0.9722 0.9019
Blue = NCAAe (D1 anchor)   Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
8%
NCAA D2/D3
38%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#13258
Forward overall
#654
Forward born in 2005

D1 Comparables

USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG

Northern Michigan Alumni similar profiles who attended this school

USHL 2013-14
0.29
actual FR PPG at Northern Michigan
NAHL 2023-24
0.19
actual FR PPG at Northern Michigan
NAHL 2019-20
0.00
actual FR PPG at Northern Michigan
AJHL 2022-23
0.00
actual FR PPG at Northern Michigan

D2/3 Comparables

Norwich · 2009-10
0.731 Strong
actual D2/3 PPG
Framingham State · 2023-24
0.600 Average
actual D2/3 PPG
SUNY Oswego · 2012-13
0.714 Strong
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.