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Étienne Tremblay-Mathieu Elite Prospects ↗

Position: Defense DOB: 2004-06-13 Country: Canada
No commitment set

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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 Chicoutimi Saguenéens QMJHL 60 3 10 13 0.217 0.1078 0.1140 0.5779 0.6109
2022-23 Chicoutimi Saguenéens QMJHL 67 7 17 24 0.358 0.1782 0.1797 0.9553 0.9631
2023-24 Sherbrooke Phoenix QMJHL 65 4 20 24 0.369 0.1837 0.1761 0.9847 0.9442
■ 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 Plymouth State D3 LittleEast — 27 9 19 28 1.037
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
1.04
2025-26 · Plymouth State
+518.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
8%
NCAA D2/D3
32%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#9277
Defenseman overall
#2057
Defenseman born in 2004
#1029
in QMJHL

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Chris Berry
Wisconsin-Superior · 2004-05
1.111 Elite
actual D2/3 PPG
Travis Quigley
Southern New Hampshire · 2016-17
0.333 Developing
actual D2/3 PPG
Corey Stark
Wisconsin-Superior · 2004-05
1.038 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.