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

Markus Vidicek Elite Prospects ↗

Position: Forward DOB: 2004-03-21 Country: Canada
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 Halifax Mooseheads QMJHL 43 10 21 31 0.721 0.3542 0.3542 1.9250 1.9250
2021-22 Halifax Mooseheads QMJHL 68 18 47 65 0.956 0.4696 0.4910 2.5525 2.6689
2022-23 Halifax Mooseheads QMJHL 68 32 48 80 1.177 0.5780 0.5761 3.1416 3.1312
2023-24 Halifax Mooseheads QMJHL 64 45 43 88 1.375 0.6755 0.6400 3.6717 3.4786
2024-25 Moncton Wildcats QMJHL 64 38 26 64 1.000 0.4913 0.4413 2.6703 2.3986
■ 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 Quinnipiac D1 ECAC FR 40 20 15 35 0.875
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.48
before college
→
Actual FR PPG
0.88
2025-26 · Quinnipiac
+80.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
2%
NCAA D2/D3
35%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#4453
Forward overall
#103
Forward born in 2004
#114
in QMJHL

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG

D2/3 Comparables

Jason Kalinowski
Endicott · 2015-16
1.310 Elite
actual D2/3 PPG
Jason Yuel
Curry · 2006-07
1.769 Elite
actual D2/3 PPG
Nick Ford
Elmira · 2014-15
0.800 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.