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Artyom Barashkin Elite Prospects ↗

Position: Defense DOB: 2004-01-17 Country: Belarus
No commitment set

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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 Carolina Jr. Hurricanes USPHL-Premier 40 5 11 16 0.400 0.0451 0.0459 0.1361 0.1386
2023-24 Carolina Jr. Hurricanes USPHL-Premier 36 9 17 26 0.722 0.0815 0.0791 0.2457 0.2383
2024-25 Mercer Chiefs NCDC 53 2 16 18 0.340 0.0785 0.0732 0.2746 0.2559
■ 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 King's D3 MAC — 13 4 3 7 0.538
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.54
2025-26 · King's
+655.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#7156
Defenseman overall
#1736
Defenseman born in 2004

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Logan Norman
Gustavus Adolphus · 2016-17
0.250 Developing
actual D2/3 PPG
P.A. Martineau
Hobart · 2017-18
0.357 Average
actual D2/3 PPG
Andrew McCann
Adrian · 2017-18
0.000 No data
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.