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Loic Usereau Elite Prospects ↗

Position: Defense DOB: 2004-12-31 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 Shawinigan Cataractes QMJHL 7 0 1 1 0.143 0.0702 0.0761 0.3816 0.4139
2022-23 — QMJHL 53 3 8 11 0.207 0.1019 0.1055 0.5541 0.5739
2023-24 Chicoutimi Saguenéens QMJHL 68 15 32 47 0.691 0.3396 0.3350 1.8457 1.8206
2024-25 Chicoutimi Saguenéens QMJHL 62 11 35 46 0.742 0.3645 0.3416 1.9811 1.8568
■ 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 5 7 0.233
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
0.23
2025-26 · Maine
-27.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
57%
Pro / Other

NCAAe Rankings

#3298
Defenseman overall
#799
Defenseman born in 2004
#557
in QMJHL

D1 Comparables

Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG

D2/3 Comparables

Travis Janke
Norwich · 2009-10
1.258 Elite
actual D2/3 PPG
Todd Hosmer
SUNY Morrisville · 2007-08
1.160 Elite
actual D2/3 PPG
Doug Lindensmith
Norwich · 2010-11
1.044 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.