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Aidan Dyer Elite Prospects ↗

Position: Forward DOB: 2005-12-28 Country: USA
Ferris State
CCHA 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
2022-23 Chicago Steel USHL 1 0 1 1 1.000 0.5899 0.6389 3.0034 3.2530
2023-24 Springfield Jr. Blues NAHL 51 7 17 24 0.471 0.1729 0.1865 0.4967 0.5359
2024-25 Chicago Steel USHL 62 10 16 26 0.419 0.2474 0.2430 1.2596 1.2374
2025-26 Sioux City Musketeers USHL 57 6 16 22 0.386 0.2277 0.2127 1.1593 1.0829
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
12%
NCAA D2/D3
25%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#23610
Forward overall
#1319
Forward born in 2005
#2305
in USHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

Ferris State Alumni similar profiles who attended this school

Kaleb Ergang
AJHL 2020-21
0.52
actual FR PPG at Ferris State
Matt Corbet
AJHL 2023-24
0.25
actual FR PPG at Ferris State
Nick Nardecchia
USHL 2020-21
0.28
actual FR PPG at Ferris State
Brenden MacLaren
NAHL 2018-19
0.17
actual FR PPG at Ferris State

D2/3 Comparables

Greg Harris
Wisconsin-Eau Claire · 2000-01
0.722 Strong
actual D2/3 PPG
Simon Boyko
Aurora · 2018-19
1.037 Elite
actual D2/3 PPG
Eric Miller
Adrian · 2005-06
1.679 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.