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Michael Adamek Elite Prospects ↗

Position: Defense DOB: 2004-11-12 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 Victoria Grizzlies BCHL 45 3 7 10 0.222 0.0856 0.0940 0.3234 0.3551
2022-23 — BCHL 28 0 2 2 0.071 0.0275 0.0288 0.1039 0.1090
2023-24 Coquitlam Express BCHL 47 1 8 9 0.192 0.0738 0.0740 0.2787 0.2796
■ 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 Liberty University ACHA_D1 — — 30 4 8 12 0.400
2024-25 Liberty University ACHA_D1 — — 30 4 8 12 0.400
2023-24 Liberty University ACHA_D1 — — 30 4 8 12 0.400
2022-23 Liberty University ACHA_D1 — — 30 4 8 12 0.400
2021-22 Liberty University ACHA_D1 — — 30 4 8 12 0.400
2020-21 Liberty University ACHA_D1 — — 30 4 8 12 0.400

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
15%
NCAA D2/D3
12%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#24230
Defenseman overall
#3928
Defenseman born in 2004
#3161
in BCHL

D1 Comparables

Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Eric Schurhamer
USHL · 2012-13 · 0.24 PPG
→ Maine (0.37 D1 FR PPG)
0.14 Strong D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG

D2/3 Comparables

Jason Diamond
Becker · 2017-18
0.280 Developing
actual D2/3 PPG
Jacob Bodin
Rivier · 2023-24
0.200 Developing
actual D2/3 PPG
Dalton Carter
Utica · 2012-13
0.692 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.