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Ivan Zadvernyuk Elite Prospects ↗

Position: Forward DOB: 2004-04-12 Country: Russia
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 Lone Star Brahmas NAHL 57 6 16 22 0.386 0.1529 0.1592 0.4053 0.4220
2023-24 Lone Star Brahmas NAHL 59 21 43 64 1.085 0.4298 0.4269 1.1388 1.1312
■ 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 Brown D1 ECAC SO 30 8 14 22 0.733
2024-25 Brown D1 ECAC — 32 3 7 10 0.312
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.31
2024-25 · Brown
+14.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
2%
NCAA D2/D3
28%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#14246
Forward overall
#668
Forward born in 2004
#633
in NAHL

D1 Comparables

Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.42 Developing
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.49 Average
NCAAe PPG

D2/3 Comparables

Gavin Bloder
Fredonia · 2022-23
0.750 Strong
actual D2/3 PPG
Sean David
Canton · 2016-17
0.800 Strong
actual D2/3 PPG
Tommy Malkmus
Finlandia · 2013-14
0.409 Average
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.