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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 0.3172 0.3172 0.7353 0.7353
2021-22 Brooks Bandits AJHL 24 6 15 21 0.875 0.2903 0.3029 0.8109 0.8460
2022-23 Brooks Bandits AJHL 51 11 26 37 0.726 0.2407 0.2392 0.6724 0.6682
2023-24 Brooks Bandits AJHL 45 7 34 41 0.911 0.3023 0.2862 0.8444 0.7993
■ 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
0.25
before college
→
Actual FR PPG
0.23
2024-25 · Yale
-8.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
0%
NCAA D2/D3
55%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#3522
Defenseman overall
#886
Defenseman born in 2003

D1 Comparables

Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.25 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
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.