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Trevor Kukkonen Elite Prospects ↗

Position: Forward DOB: 2001-02-01 Country: USA
No commitment set

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
2018-19 Minnesota Magicians NAHL 2 0 0 0 0.000 — — — —
2019-20 Madison Capitols USHL 8 0 0 0 0.000 — — — —
2020-21 Minnesota Magicians NAHL 48 10 14 24 0.500 0.1981 0.1981 0.5250 0.5250
2021-22 Minnesota Magicians NAHL 58 22 27 49 0.845 0.3347 0.3115 0.8870 0.8255
■ 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 Michigan Tech D1 CCHA SR 4 0 0 0 0.000
2024-25 Michigan Tech D1 CCHA JR 35 3 7 10 0.286
2023-24 Michigan Tech D1 CCHA SO 2 0 0 0 0.000
2022-23 Michigan Tech D1 CCHA FR 6 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
5%
NCAA D2/D3
52%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#20205
Forward overall
#949
Forward born in 2001
#1337
in NAHL

D1 Comparables

Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG

D2/3 Comparables

Derek Hansberry
Wisconsin-River Falls · 2004-05
1.259 Elite
actual D2/3 PPG
Dale Lupul
Wisconsin-Superior · 2000-01
0.759 Strong
actual D2/3 PPG
Tyler Bullard
Canton · 2015-16
0.957 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.