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Cameron Hughes Elite Prospects ↗

Position: Forward DOB: 1996-10-09 Country: Canada
2015 · Round 6, Pick #165  ·  Boston Bruins Boston Bruins
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
2012-13 — AJHL 60 11 20 31 0.517 0.1733 0.1983 0.4782 0.5471
2013-14 — AJHL 52 21 36 57 1.096 0.3677 0.4016 1.0144 1.1079
■ 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
2017-18 Wisconsin D1 BigTen SR 37 8 14 22 0.595
2016-17 Wisconsin D1 BigTen JR 36 7 25 32 0.889
2015-16 Wisconsin D1 BigTen SO 32 5 20 25 0.781
2014-15 Wisconsin D1 BigTen FR 34 3 10 13 0.382
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.38
2014-15 · Wisconsin
+39.5% vs. projection

NCAAe Rankings

#17646
Forward overall
#685
Forward born in 1996
#362
in AJHL

D1 Comparables

Karson Kuhlman
USHL · 2012-13 · 0.56 PPG
→ Minnesota Duluth (0.45 D1 FR PPG)
0.35 Average
NCAAe PPG
Connor Hurley
USHL · 2012-13 · 0.73 PPG
→ Notre Dame (0.34 D1 FR PPG)
0.46 Developing
NCAAe PPG
Shane Eiserman
NTDP-U18 · 2012-13 · 0.35 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.26 Average
NCAAe PPG
Hudson Fasching
NTDP-U18 · 2012-13 · 0.53 PPG
→ Minnesota (0.75 D1 FR PPG)
0.39 Strong
NCAAe PPG
Ryan Galt
USHL · 2012-13 · 0.46 PPG
→ Nebraska Omaha (0.29 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Brent Wold
Utica · 2010-11
1.000 Elite
actual D2/3 PPG
Chad Merrell
University of New England · 2015-16
0.611 Average
actual D2/3 PPG
Ryan Kero
Saint John's · 2014-15
0.480 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.