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Jérémy Tremblay Elite Prospects ↗

Position: Forward DOB: 2002-10-24 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
2021-22 Hawkesbury Hawks CCHL 40 9 12 21 0.525 0.1139 0.1132 0.4064 0.4038
2022-23 Cranbrook Bucks BCHL 29 6 4 10 0.345 0.1329 0.1258 0.5024 0.4755
■ 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 Nichols D3 CNE — 26 9 9 18 0.692
2024-25 Albertus Magnus D3 UCHC — 9 1 0 1 0.111
2023-24 Albertus Magnus D3 UCHC — 6 1 1 2 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.33
2023-24 · Albertus Magnus
+222.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
12%
NCAA D2/D3
60%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#27605
Forward overall
#1598
Forward born in 2002

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Grant Newcomer
Concordia (WI) · 2021-22
0.423 Average
actual D2/3 PPG
Andrew Klin
Buffalo State · 2008-09
0.600 Average
actual D2/3 PPG
Eliot Grauer
Wisconsin-Stevens Point · 2012-13
0.583 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.