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Caden Butler Elite Prospects ↗

Position: Forward DOB: 2003-05-27 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
2021-22 El Paso Rhinos NA3HL 39 31 45 76 1.949 0.2446 0.2519 0.6152 0.6335
2022-23 Boston Advantage NCDC 5 2 1 3 0.600 0.2446 0.2448 0.4823 0.4828
■ 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 NCHC — 26 8 12 20 0.769
2024-25 Arizona State ACHA_D1 NCHC — 26 8 12 20 0.769
2023-24 Arizona State ACHA_D1 NCHC — 26 8 12 20 0.769
2022-23 Arizona State ACHA_D1 NCHC — 26 8 12 20 0.769
2021-22 Arizona State ACHA_D1 NCHC — 26 8 12 20 0.769
2020-21 Arizona State ACHA_D1 NCHC — 26 8 12 20 0.769

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
0%
Club / ACHA
10%
Other

NCAAe Rankings

#7342
Forward overall
#271
Forward born in 2003

D1 Comparables

Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
Luc Gerdes
NAHL · 2012-13 · 0.80 PPG
→ Colorado College (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.28 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Gene Bouthiette
Fitchburg State · 2018-19
0.280 Developing
actual D2/3 PPG
Jarod Blackowiak
Augsburg · 2018-19
0.423 Average
actual D2/3 PPG
Michael Redmon
Augsburg · 2017-18
0.462 Average
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.