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Luke Devlin Elite Prospects ↗

Position: Forward DOB: 2004-03-12 Country: USA
2022 · Round 6, Pick #182  ·  Pittsburgh Penguins Pittsburgh Penguins
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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
2020-21 — USHL 1 0 1 1 1.000 0.5899 0.5899 3.0034 3.0034
2021-22 — USHL 8 0 1 1 0.125 0.0737 0.0770 0.3754 0.3924
2022-23 — BCHL 51 11 26 37 0.726 0.2795 0.2838 1.0558 1.0722
■ 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 Cornell D1 ECAC JR 20 3 2 5 0.250
2024-25 Cornell D1 ECAC — 0 0 0 0 0.000
2023-24 Cornell D1 ECAC — 28 6 2 8 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.29
2023-24 · Cornell
+66.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
0%
NCAA D2/D3
52%
Pro / Other

NCAAe Rankings

#19098
Forward overall
#990
Forward born in 2004

D1 Comparables

Zach Aman
USHL · 2012-13 · 0.52 PPG
→ Colorado College (0.11 D1 FR PPG)
0.31 Developing
NCAAe PPG
Mackenzie MacEachern
USHL · 2012-13 · 0.42 PPG
→ Michigan State (0.33 D1 FR PPG)
0.25 Developing
NCAAe PPG
Brian Morgan
USHL · 2012-13 · 0.53 PPG
→ Maine (0.35 D1 FR PPG)
0.31 Average
NCAAe PPG
Kyle Schmidt
USHL · 2012-13 · 0.57 PPG
→ Bentley (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG
Jack Rowe
USHL · 2012-13 · 0.53 PPG
→ Arizona State (0.21 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Tyler Braccini
Bethel · 2019-20
0.727 Strong
actual D2/3 PPG
Connor Armour
Adrian · 2012-13
1.357 Elite
actual D2/3 PPG
Jonny Mulera
Salve Regina · 2017-18
1.409 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.