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Cameron Eke Elite Prospects ↗

Position: Defense DOB: 2005-04-23 Country: Canada
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
No commitment set

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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 0.1335 0.1422 0.3042 0.3241
2023-24 Collingwood Blues OJHL 48 7 19 26 0.542 0.1627 0.1649 0.3708 0.3757
2024-25 Collingwood Blues OJHL 49 14 43 57 1.163 0.3495 0.3362 0.7963 0.7660
■ 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
0.25
before college
→
Actual FR PPG
0.04
2025-26 · Niagara
-83.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
0%
NCAA D2/D3
32%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#4687
Defenseman overall
#1237
Defenseman born in 2005
#1203
in OJHL

D1 Comparables

Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.28 Developing D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.26 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.30 Elite D
NCAAe PPG

D2/3 Comparables

Spencer MacLean
Elmira · 2015-16
0.526 Average
actual D2/3 PPG
Ian Ecklund
Wisconsin-Superior · 2012-13
0.518 Average
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.