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Anthony Thomas-Maroon Elite Prospects ↗

Position: Forward DOB: 2008-09-02 Country: USA
Western Michigan
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
2025-26 Muskegon Lumberjacks USHL 59 2 17 19 0.322 0.1899 0.2028 0.9662 1.0320
2026-27 Muskegon Lumberjacks USHL 4 1 0 1 0.250 0.1475 0.1475 0.7502 0.7502
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
5%
NCAA D2/D3
20%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#29128
Forward overall
#522
Forward born in 2008
#2951
in USHL

D1 Comparables

Ryan Fitzgerald
NTDP-U18 · 2012-13 · 0.12 PPG
→ Boston College (0.72 D1 FR PPG)
0.09 Strong
NCAAe PPG
Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG
Cédric Lacroix
USHL · 2012-13 · 0.13 PPG
→ Maine (0.28 D1 FR PPG)
0.08 Developing
NCAAe PPG
Ian Mansfield
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.14 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG

Western Michigan Alumni similar profiles who attended this school

Alex Bump
USHS-MN 2019-20
0.95
actual FR PPG at Western Michigan
Bobby Cowan
USHS-MN 2022-23
0.62
actual FR PPG at Western Michigan
Max Sasson
USHL 2018-19
0.59
actual FR PPG at Western Michigan
Tim Washe
BCHL 2019-20
0.08
actual FR PPG at Western Michigan

D2/3 Comparables

Trever Hertz
Utica · 2007-08
0.808 Strong
actual D2/3 PPG
Dante Spagnuolo
Adrian · 2016-17
1.000 Elite
actual D2/3 PPG
Kyle Sharkey
Wisconsin-Stevens Point · 2010-11
1.138 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.