IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Dominik Bartecko Elite Prospects ↗

Position: Forward DOB: 2003-12-09 Country: USA
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
2020-21 Janesville Jets NAHL 34 8 7 15 0.441 0.1621 0.1621 0.4657 0.4657
2021-22 Green Bay Gamblers USHL 55 1 8 9 0.164 0.0965 0.0996 0.4914 0.5073
2022-23 — NAHL 54 16 36 52 0.963 0.3538 0.3623 1.0164 1.0408
2023-24 New Jersey Jr. Titans NAHL 59 32 51 83 1.407 0.5169 0.5046 1.4849 1.4496
■ 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
0.38
before college
→
Actual FR PPG
0.39
2024-25 · Mercyhurst
1.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
28%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#9068
Forward overall
#383
Forward born in 2003
#183
in NAHL

D1 Comparables

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

D2/3 Comparables

Richard McCartney
SUNY Plattsburgh · 2016-17
0.923 Strong
actual D2/3 PPG
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

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.