IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Luke Wilfley Elite Prospects ↗

Position: Forward DOB: 2008-06-30 Country: USA
2026 · Round 6, Pick #172  ·  New Jersey Devils New Jersey Devils
Arizona State
NCHC 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
2024-25 Portland Winterhawks WHL 6 0 2 2 0.333 0.1622 0.1789 0.8142 0.8981
2025-26 Portland Winterhawks WHL 66 9 6 15 0.227 0.1106 0.1169 0.5552 0.5867
2026-27 Portland Winterhawks WHL 4 1 1 2 0.500 0.2432 0.2432 1.2213 1.2213
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
10%
NCAA D2/D3
20%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#45107
Forward overall
#954
Forward born in 2008
#1478
in WHL

D1 Comparables

Nate Arentz
USHL · 2012-13 · 0.41 PPG
→ Bemidji State (0.35 D1 FR PPG)
0.24 Developing
NCAAe PPG
Max Shuart
USHL · 2012-13 · 0.43 PPG
→ Michigan
0.25 No data
NCAAe PPG
Alex Rauter
USHL · 2012-13 · 0.41 PPG
→ Cornell (0.40 D1 FR PPG)
0.24 Average
NCAAe PPG
Jarrid Privitera
USHL · 2012-13 · 0.46 PPG
→ Vermont (0.33 D1 FR PPG)
0.28 Developing
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG

Arizona State Alumni similar profiles who attended this school

Riley Simpson
AJHL 2014-15
0.27
actual FR PPG at Arizona State
Cody Gylling
NAHL 2012-13
0.24
actual FR PPG at Arizona State
Teddy Lagerback
USHS-MN 2019-20
0.23
actual FR PPG at Arizona State
Filips Buncis
NAHL 2015-16
0.05
actual FR PPG at Arizona State

D2/3 Comparables

Brett Ouderkirk
Norwich · 2015-16
0.966 Strong
actual D2/3 PPG
Anthony Iacullo
Saint Anselm · 2015-16
0.655 Strong
actual D2/3 PPG
Sam Ciappa
St. John Fisher · 2023-24
0.913 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.