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Cameron Kungle Elite Prospects ↗

Position: Defense DOB: 2002-03-28 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
2020-21 Cranbrook Bucks BCHL 15 3 0 3 0.200 0.0745 0.0745 0.2914 0.2914
2021-22 Cranbrook Bucks BCHL 53 5 12 17 0.321 0.1195 0.1155 0.4674 0.4518
2022-23 Cranbrook Bucks BCHL 50 10 22 32 0.640 0.2384 0.2188 0.9325 0.8557
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 Merrimack D1 HockeyEast 39 1 7 8 0.205
2024-25 Merrimack D1 HockeyEast 32 0 1 1 0.031
2023-24 Lake Superior State D1 CCHA 37 1 8 9 0.243
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
Actual FR PPG
0.24
2023-24 · Lake Superior State
+45.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
5%
NCAA D2/D3
50%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#9393
Defenseman overall
#2050
Defenseman born in 2002
#2189
in BCHL

D1 Comparables

QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG

D2/3 Comparables

SUNY Brockport · 2017-18
0.577 Average
actual D2/3 PPG
Trine · 2018-19
0.929 Strong
actual D2/3 PPG
Wentworth · 2000-01
1.000 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.