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Cameron Eke Elite Prospects ↗

Position: Defense DOB: 2005-04-23 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
2022-23 Collingwood Blues OJHL 36 0 16 16 0.444 0.1089 0.1160 0.3060 0.3260
2023-24 Collingwood Blues OJHL 48 7 19 26 0.542 0.1328 0.1346 0.3730 0.3780
2024-25 Collingwood Blues OJHL 49 14 43 57 1.163 0.2851 0.2743 0.8009 0.7704
■ 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 Niagara D1 AHA FR 24 0 1 1 0.042
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.04
2025-26 · Niagara
-79.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
0%
NCAA D2/D3
8%
Age-Out / Club
60%
Pro / Other

NCAAe Rankings

#4920
Defenseman overall
#1257
Defenseman born in 2005
#972
in OJHL

D1 Comparables

Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG

D2/3 Comparables

Mike Davis
Neumann · 2012-13
0.769 Strong
actual D2/3 PPG
Taylor Bommarito
Manhattanville · 2015-16
0.731 Strong
actual D2/3 PPG
Pat Power
Wisconsin-Superior · 2003-04
0.500 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.