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Hughie Hooker Elite Prospects ↗

Position: Defense DOB: 2003-10-11 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
2019-20 Winnipeg Blues MJHL 1 0 0 0 0.000 — — — —
2020-21 Winnipeg Blues MJHL 6 2 5 7 1.167 0.2246 0.2246 0.7357 0.7357
2021-22 Brooks Bandits AJHL 24 6 15 21 0.875 0.2935 0.3062 0.8097 0.8448
2022-23 Brooks Bandits AJHL 51 11 26 37 0.726 0.2433 0.2418 0.6714 0.6673
2023-24 Brooks Bandits AJHL 45 7 34 41 0.911 0.3056 0.2893 0.8431 0.7981
■ 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 Yale D1 ECAC SO 26 1 8 9 0.346
2024-25 Yale D1 ECAC — 26 1 5 6 0.231
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.23
2024-25 · Yale
-9.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D1
0%
NCAA D2/D3
30%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#3715
Defenseman overall
#919
Defenseman born in 2003

D1 Comparables

Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Paul LaDue
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.43 Elite D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG

D2/3 Comparables

Buster Larsson
Utica · 2018-19
0.679 Strong
actual D2/3 PPG
Adam Tretowicz
SUNY Plattsburgh · 2018-19
0.720 Strong
actual D2/3 PPG
Brenden Kotyk
St. Scholastica · 2011-12
0.760 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.