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Karson Kuhlman Elite Prospects ↗

Position: Forward DOB: 1995-09-26 Country: USA
Signed Professionally
Lukko · Liiga

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
2011-12 Dubuque Fighting Saints USHL 5 0 4 4 0.800 0.5094 0.5709 2.3974 2.6868
2012-13 Dubuque Fighting Saints USHL 16 1 8 9 0.562 0.3582 0.3824 1.6856 1.7994
2013-14 Dubuque Fighting Saints USHL 56 25 19 44 0.786 0.5003 0.5107 2.3545 2.4034
2024-25 Lukko Liiga 60 21 25 46 0.767
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
2017-18 Minnesota Duluth D1 NCHC SR 44 13 7 20 0.455
2016-17 Minnesota Duluth D1 NCHC JR 42 6 16 22 0.524
2015-16 Minnesota Duluth D1 NCHC SO 40 12 8 20 0.500
2014-15 Minnesota Duluth D1 NCHC FR 40 8 10 18 0.450
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.39
before college
Actual FR PPG
0.45
2014-15 · Minnesota Duluth
+14.4% vs. projection

NCAAe Rankings

D1 Comparables

USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.45 Developing
NCAAe PPG
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.42 Developing
NCAAe PPG
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.39 Elite
NCAAe PPG
NAHL · 2012-13 · 0.95 PPG
→ Miami (0.24 D1 FR PPG)
0.37 Developing
NCAAe PPG

D2/3 Comparables

Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Endicott · 2015-16
1.310 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.