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Cooper Soller Elite Prospects ↗

Position: Forward DOB: 2008-08-11 Country: USA
2026 · Round 5, Pick #154  ·  Tampa Bay Lightning Tampa Bay Lightning
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
2024-25 Sioux Falls Stampede USHL 1 0 0 0 0.000 — — — —
2025-26 Sioux Falls Stampede USHL 62 26 23 49 0.790 0.4662 0.4965 2.3715 2.5259
2026-27 Sioux Falls Stampede USHL 4 4 0 4 1.000 0.5899 0.5899 3.0007 3.0007
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

100%
NCAA D1
0%
NCAA D2/D3
0%
Pro / Other

NCAAe Rankings

#6248
Forward overall
#56
Forward born in 2008
#464
in USHL

D1 Comparables

Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.64 Developing
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.68 Strong
NCAAe PPG
Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.48 Average
NCAAe PPG
Jake Guentzel
USHL · 2012-13 · 1.22 PPG
→ Nebraska Omaha (0.92 D1 FR PPG)
0.73 Elite
NCAAe PPG
Nick Schilkey
USHL · 2012-13 · 1.20 PPG
→ Ohio State (0.70 D1 FR PPG)
0.71 Strong
NCAAe PPG

Western Michigan Alumni similar profiles who attended this school

Bobby Cowan
USHL 2024-25
0.62
actual FR PPG at Western Michigan
Aidan Muir
USHL 2013-14
0.42
actual FR PPG at Western Michigan
Wade Allison
USHL 2015-16
0.81
actual FR PPG at Western Michigan
Sheldon Dries
USHL 2012-13
0.18
actual FR PPG at Western Michigan

D2/3 Comparables

Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2016-17
1.448 Elite
actual D2/3 PPG
Gus Katsuras
Hamilton · 2001-02
1.400 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.