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Luke Coughlin Elite Prospects ↗

Position: Defense DOB: 2005-04-11 Country: Canada
2023 · Round 6, Pick #191  ·  Florida Panthers Florida Panthers
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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 — QMJHL 55 4 14 18 0.327 0.1608 0.1766 0.8740 0.9600
2022-23 — QMJHL 37 5 14 19 0.513 0.2523 0.2648 1.3712 1.4391
2023-24 Rimouski Océanic QMJHL 42 2 20 22 0.524 0.2573 0.2574 1.3987 1.3990
2024-25 Rimouski Océanic QMJHL 54 4 20 24 0.444 0.2183 0.2076 1.1867 1.1287
■ 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 FR 10 0 2 2 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.20
2025-26 · Maine
-6.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
8%
NCAA D2/D3
12%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#5003
Defenseman overall
#1278
Defenseman born in 2005
#718
in QMJHL

D1 Comparables

Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG

D2/3 Comparables

Gavin Bloder
Fredonia · 2022-23
0.750 Strong
actual D2/3 PPG
Sean David
Canton · 2016-17
0.800 Strong
actual D2/3 PPG
Lukas Ciotti
Adrian · 2009-10
0.778 Strong
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.