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Liam Lefebvre Elite Prospects ↗

Position: Forward DOB: 2007-05-15 Country: Canada
2026 · Round 2, Pick #46  ·  Los Angeles Kings Los Angeles Kings
Vermont
HockeyEast 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
2022-23 Trinity-Pawling NE-Prep 22 1 2 3 0.136 0.0270 0.0270 0.0621 0.0621
2023-24 Trinity-Pawling NE-Prep 23 8 9 17 0.739 0.1464 0.1464 0.3367 0.3367
2024-25 Trinity-Pawling NE-Prep 25 20 34 54 2.160 0.4279 0.4279 0.9841 0.9841
2025-26 Chicoutimi Saguenéens QMJHL 59 32 27 59 1.000 0.4913 0.4954 2.6703 2.6927
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
72%
Pro / Other

NCAAe Rankings

#6633
Forward overall
#116
Forward born in 2007

D1 Comparables

Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.53 Developing
NCAAe PPG
John Stevens
USHL · 2012-13 · 0.81 PPG
→ Northeastern (0.59 D1 FR PPG)
0.48 Strong
NCAAe PPG
Austin Ortega
USHL · 2012-13 · 0.91 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.53 Average
NCAAe PPG
Drew Smolcynski
USHL · 2012-13 · 0.69 PPG
→ St. Lawrence (0.44 D1 FR PPG)
0.41 Average
NCAAe PPG
C.J. Suess
USHL · 2012-13 · 0.95 PPG
→ Minnesota (0.76 D1 FR PPG)
0.56 Strong
NCAAe PPG

Vermont Alumni similar profiles who attended this school

Cédrick Guindon
OHL 2022-23
0.41
actual FR PPG at Vermont
Max Strand
USHS-MN 2021-22
0.67
actual FR PPG at Vermont
Mickey Burns
NCDC 2018-19
0.00
actual FR PPG at Vermont
Dovar Tinling
USHL 2021-22
0.17
actual FR PPG at Vermont

D2/3 Comparables

Ryan Reifler
Elmira · 2017-18
1.067 Elite
actual D2/3 PPG
Christopher Miraldo
Westfield State · 2022-23
1.037 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 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.