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Kade Kohanski Elite Prospects ↗

Position: Forward DOB: 2005-06-02 Country: USA
Minnesota Duluth
NCHC 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 Hermantown USHS-MN 31 22 40 62 2.000 0.2532 0.2532 0.4858 0.4858
2022-23 Bismarck Bobcats NAHL 9 0 3 3 0.333 0.1225 0.1345 0.3518 0.3863
2023-24 Bismarck Bobcats NAHL 60 20 29 49 0.817 0.3001 0.3152 0.8620 0.9054
2024-25 Lincoln Stars USHL 60 8 22 30 0.500 0.2949 0.2813 1.5017 1.4323
2025-26 Lincoln Stars USHL 62 21 33 54 0.871 0.5138 0.4652 2.6160 2.3688
Blue = NCAAe (D1 anchor)   Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

72%
NCAA D1
5%
NCAA D2/D3
8%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#8521
Forward overall
#333
Forward born in 2005

D1 Comparables

USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG

Minnesota Duluth Alumni similar profiles who attended this school

USHL 2024-25
0.19
actual FR PPG at Minnesota Duluth
AJHL 2017-18
0.32
actual FR PPG at Minnesota Duluth
USHS-MN 2022-23
0.72
actual FR PPG at Minnesota Duluth
USHS-MN 2019-20
0.19
actual FR PPG at Minnesota Duluth

D2/3 Comparables

Curry · 2006-07
1.769 Elite
actual D2/3 PPG
Endicott · 2015-16
1.310 Elite
actual D2/3 PPG
Southern New Hampshire · 2016-17
0.593 Average
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.