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Mykhailo Danylov Elite Prospects ↗

Position: Forward DOB: 2004-08-01 Country: Ukraine
No commitment set

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 Green Bay Gamblers USHL 59 7 8 15 0.254 0.1500 0.1519 0.7489 0.7584
2023-24 Green Bay Gamblers USHL 58 8 11 19 0.328 0.1933 0.1862 0.9652 0.9295
2024-25 Green Bay Gamblers USHL 38 10 1 11 0.289 0.1708 0.1558 0.8529 0.7779
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Alaska Fairbanks D1 WCHA — 28 4 7 11 0.393
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.39
2025-26 · Alaska Fairbanks
+173.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
32%
NCAA D2/D3
32%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#31221
Forward overall
#1856
Forward born in 2004
#2925
in USHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Kevin Shand
Milwaukee School of Engineering · 2015-16
0.412 Average
actual D2/3 PPG
Noel Lortie
Elmira · 2005-06
0.800 Strong
actual D2/3 PPG
Matthew Cuce
Elmira · 2015-16
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.