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Dominik Bartecko Elite Prospects ↗

Position: Forward DOB: 2003-12-09 Country: USA
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
2020-21 Janesville Jets NAHL 34 8 7 15 0.441 0.1748 0.1748 0.4632 0.4632
2021-22 Green Bay Gamblers USHL 55 1 8 9 0.164 0.1006 0.1039 0.4820 0.4976
2022-23 — NAHL 54 16 36 52 0.963 0.3815 0.3907 1.0111 1.0354
2023-24 New Jersey Jr. Titans NAHL 59 32 51 83 1.407 0.5574 0.5442 1.4770 1.4419
■ 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 Mercyhurst D1 AHA SO 36 8 9 17 0.472
2024-25 Mercyhurst D1 AHA — 31 6 6 12 0.387
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.41
before college
→
Actual FR PPG
0.39
2024-25 · Mercyhurst
-6.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
38%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#8913
Forward overall
#371
Forward born in 2003
#184
in NAHL

D1 Comparables

Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.55 Elite
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Kyle Novak
USHL · 2012-13 · 1.20 PPG
→ Western Michigan (0.19 D1 FR PPG)
0.68 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.43 Developing
NCAAe PPG

D2/3 Comparables

Tim Schneider
Middlebury · 2001-02
1.310 Elite
actual D2/3 PPG
Luke Panchisin
SUNY Geneseo · 2022-23
1.154 Elite
actual D2/3 PPG
Richard McCartney
SUNY Plattsburgh · 2016-17
0.923 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.