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Jérémy Langlois Elite Prospects ↗

Position: Defense DOB: 2003-09-19 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 Cape Breton Eagles QMJHL 50 0 7 7 0.140 0.0688 0.0688 0.3738 0.3738
2020-21 Cape Breton Eagles QMJHL 21 3 6 9 0.429 0.2106 0.2106 1.1445 1.1445
2021-22 Cape Breton Eagles QMJHL 60 13 34 47 0.783 0.3848 0.3927 2.0916 2.1343
2022-23 — QMJHL 61 11 39 50 0.820 0.4027 0.3912 2.1888 2.1264
2023-24 Rouyn-Noranda Huskies QMJHL 61 17 45 62 1.016 0.4994 0.4605 2.7141 2.5029
■ 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 Maine D1 HockeyEast — 30 2 7 9 0.300
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.41
before college
→
Actual FR PPG
0.30
2025-26 · Maine
-26.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
0%
NCAA D2/D3
35%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

#1527
Defenseman overall
#290
Defenseman born in 2003
#275
in QMJHL

D1 Comparables

Paul LaDue
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.43 Elite D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG
Ryan Lowney
USHL · 2012-13 · 0.65 PPG
→ Ferris State (0.35 D1 FR PPG)
0.37 Strong D
NCAAe PPG
Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.36 Developing D
NCAAe PPG

D2/3 Comparables

Rihards Marenis
Aurora · 2013-14
1.000 Elite
actual D2/3 PPG
Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Jason Kalinowski
Endicott · 2015-16
1.310 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.