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Fyodor Nikolayenya Elite Prospects ↗

Position: Forward DOB: 2003-02-28 Country: Belarus
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
2021-22 Des Moines Buccaneers USHL 35 2 5 7 0.200 0.1180 0.1172 0.5892 0.5854
2022-23 — NAHL 50 16 23 39 0.780 0.2771 0.2730 0.8189 0.8068
2023-24 Anchorage Wolverines NAHL 58 27 37 64 1.103 0.3919 0.3674 1.1585 1.0859
■ 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 SO 7 0 0 0 0.000
2024-25 Alaska Fairbanks D1 — — 28 1 2 3 0.107
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.11
2024-25 · Alaska Fairbanks
-62.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
0%
NCAA D2/D3
52%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#13475
Forward overall
#649
Forward born in 2003

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Bryan Black
SUNY Potsdam · 2008-09
0.818 Strong
actual D2/3 PPG
Brent Wold
Utica · 2013-14
1.000 Elite
actual D2/3 PPG
Jayson Alegria
Bowdoin · 2024-25
0.762 Strong
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.