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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 2.3736 2.5281
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
5%
Pro / Other

NCAAe Rankings

#6138
Forward overall
#41
Forward born in 2008
#382
in USHL

D1 Comparables

Connor Hurley
USHL · 2012-13 · 0.73 PPG
→ Notre Dame (0.34 D1 FR PPG)
0.46 Developing
NCAAe PPG
Hudson Fasching
NTDP-U18 · 2012-13 · 0.53 PPG
→ Minnesota (0.75 D1 FR PPG)
0.39 Strong
NCAAe PPG
Matthew Weis
USHL · 2012-13 · 0.71 PPG
→ Ohio State (0.67 D1 FR PPG)
0.44 Strong
NCAAe PPG
Karson Kuhlman
USHL · 2012-13 · 0.56 PPG
→ Minnesota Duluth (0.45 D1 FR PPG)
0.35 Average
NCAAe PPG
Gabe Guertler
USHL · 2012-13 · 0.85 PPG
→ Minnesota (0.21 D1 FR PPG)
0.53 Developing
NCAAe PPG

Western Michigan Alumni similar profiles who attended this school

Wyatt Schingoethe
USHL 2019-20
0.00
actual FR PPG at Western Michigan
Hugh McGing
USHL 2015-16
0.56
actual FR PPG at Western Michigan
Paul Cotter
NAHL 2016-17
0.12
actual FR PPG at Western Michigan
Ethen Frank
USHL 2014-15
0.40
actual FR PPG at Western Michigan

D2/3 Comparables

Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Ryan Reifler
Elmira · 2017-18
1.067 Elite
actual D2/3 PPG
Rihards Marenis
Aurora · 2013-14
1.000 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.