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Luke Chase Elite Prospects ↗

Position: Defense DOB: 2003-09-13 Country: USA
No commitment set

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 Canmore Eagles AJHL 52 0 4 4 0.077 0.0255 0.0252 0.0713 0.0706
2023-24 Nipawin Hawks SJHL 48 3 13 16 0.333 0.1015 0.0971 0.2470 0.2363
■ 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 Arizona State ACHA_D1 — — 26 1 0 1 0.038
2024-25 Arizona State ACHA_D1 — — 26 1 0 1 0.038
2023-24 Arizona State ACHA_D1 — — 26 1 0 1 0.038
2022-23 Arizona State ACHA_D1 — — 26 1 0 1 0.038
2021-22 Arizona State ACHA_D1 — — 26 1 0 1 0.038
2020-21 Arizona State ACHA_D1 — — 26 1 0 1 0.038

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
25%
NCAA D2/D3
57%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#22141
Defenseman overall
#3627
Defenseman born in 2003
#2745
in AJHL

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Alex Storjohann
SUNY Cortland · 2016-17
0.565 Average
actual D2/3 PPG
Joseph Gilhooly
SUNY Potsdam · 2013-14
0.333 Developing
actual D2/3 PPG
Alec Thieda
Norwich · 2010-11
0.654 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.