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Daniel Halonen Elite Prospects ↗

Position: Forward DOB: 2007-08-07 Country: USA
Michigan Tech
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
2023-24 Delano USHS-MN 24 8 11 19 0.792 0.1002 0.1002 0.1922 0.1922
2024-25 Delano USHS-MN 27 13 25 38 1.407 0.1782 0.1782 0.3417 0.3417
2025-26 Watertown Shamrocks NAHL 12 5 1 6 0.500 0.1837 0.1943 0.5284 0.5588
2026-27 Madison Capitols USHL 4 2 1 3 0.750 0.4424 0.4424 2.2505 2.2505
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

92%
NCAA D1
0%
NCAA D2/D3
5%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#20530
Forward overall
#644
Forward born in 2007

D1 Comparables

Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.44 Developing
NCAAe PPG
Sam Rothstein
USHL · 2012-13 · 0.77 PPG
→ Colorado College (0.57 D1 FR PPG)
0.44 Strong
NCAAe PPG
Thomas Forgione
USHL · 2012-13 · 0.70 PPG
→ Vermont (0.21 D1 FR PPG)
0.40 Developing
NCAAe PPG
Logan Nelson
WHL · 2012-13 · 0.88 PPG
→ Wisconsin-Stout (0.59 D1 FR PPG)
0.41 Strong
NCAAe PPG
Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG

Michigan Tech Alumni similar profiles who attended this school

Kyle Kukkonen
USHS-MN 2020-21
0.69
actual FR PPG at Michigan Tech
Rylan Gould
WHL 2024-25
0.17
actual FR PPG at Michigan Tech
Jujhar Khaira
WHL 2013-14
0.68
actual FR PPG at Michigan Tech
Philip Fankl
SHL-J20 2023-24
0.04
actual FR PPG at Michigan Tech

D2/3 Comparables

Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Jared Goudreau
Southern New Hampshire · 2014-15
0.833 Strong
actual D2/3 PPG
Brandon Osmundson
Utica · 2017-18
1.448 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.