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Michael Cicek Elite Prospects ↗

Position: Forward DOB: 2004-01-26 Country: Canada
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
2021-22 Spokane Chiefs WHL 32 1 4 5 0.156 0.0760 0.0784 0.3827 0.3946
2022-23 Spokane Chiefs WHL 41 4 8 12 0.293 0.1424 0.1402 0.7172 0.7060
2023-24 Kelowna Rockets WHL 64 9 30 39 0.609 0.2965 0.2773 1.4932 1.3963
2024-25 Kelowna Rockets WHL 52 17 23 40 0.769 0.3742 0.3299 1.8848 1.6618
■ 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 FR 33 2 7 9 0.273
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.27
2025-26 · Michigan Tech
+3.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
0%
NCAA D2/D3
75%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#16002
Forward overall
#794
Forward born in 2004
#873
in WHL

D1 Comparables

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

D2/3 Comparables

Jeremy Dawes
St. Scholastica · 2007-08
1.036 Elite
actual D2/3 PPG
Tyler Resch
Manhattanville · 2001-02
1.154 Elite
actual D2/3 PPG
Andrew Rozak
SUNY Oswego · 2000-01
1.100 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.