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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 0.4482 0.4615 0.6173 0.6357
2022-23 Boston Advantage NCDC 5 2 1 3 0.600 0.3346 0.3349 0.4852 0.4857
■ 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 8 12 20 0.769
2024-25 Arizona State ACHA_D1 — — 26 8 12 20 0.769
2023-24 Arizona State ACHA_D1 — — 26 8 12 20 0.769
2022-23 Arizona State ACHA_D1 — — 26 8 12 20 0.769
2021-22 Arizona State ACHA_D1 — — 26 8 12 20 0.769
2020-21 Arizona State ACHA_D1 — — 26 8 12 20 0.769

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D2/D3
0%
Club / ACHA
15%
Other

NCAAe Rankings

#6936
Forward overall
#248
Forward born in 2003

D1 Comparables

Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Jarod Blackowiak
Augsburg · 2018-19
0.423 Average
actual D2/3 PPG
Adam Martinez
SUNY Potsdam · 2006-07
0.476 Average
actual D2/3 PPG
Ross Ring-Jarvi
Gustavus Adolphus · 2006-07
1.033 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.