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Justin Larose Elite Prospects ↗

Position: Forward DOB: 2005-04-26 Country: Canada
Michigan
BigTen D1

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 Victoriaville Tigres QMJHL 59 6 9 15 0.254 0.1249 0.1374 0.6788 0.7470
2022-23 Victoriaville Tigres QMJHL 68 11 13 24 0.353 0.1734 0.1823 0.9423 0.9909
2023-24 Victoriaville Tigres QMJHL 67 38 42 80 1.194 0.5866 0.5879 3.1883 3.1956
2024-25 Drummondville Voltigeurs QMJHL 63 26 35 61 0.968 0.4757 0.4534 2.5857 2.4645
2025-26 Newfoundland Regiment QMJHL 64 32 56 88 1.375 0.6755 0.6119 3.6717 3.3260
Blue = NCAAe (D1 anchor)   Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
0%
NCAA D2/D3
40%
Age-Out / Club
45%
Pro / Other

NCAAe Rankings

#4134
Forward overall
#91
Forward born in 2005
#97
in QMJHL

D1 Comparables

USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.65 Elite
NCAAe PPG
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG

Michigan Alumni similar profiles who attended this school

USHL 2021-22
0.75
actual FR PPG at Michigan
USHL 2018-19
0.38
actual FR PPG at Michigan
USHL 2020-21
0.59
actual FR PPG at Michigan
AJHL 2021-22
0.92
actual FR PPG at Michigan

D2/3 Comparables

Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Utica · 2018-19
1.448 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.