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

Max Dukovac Elite Prospects ↗

Position: Forward DOB: 2002-02-19 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
2021-22 Langley Rivermen BCHL 51 17 42 59 1.157 0.4309 0.4143 1.6857 1.6209
■ 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 Ferris State D1 CCHA SR 37 6 4 10 0.270
2024-25 Miami D1 NCHC SR 25 5 5 10 0.400
2023-24 Miami D1 NCHC JR 36 3 7 10 0.278
2022-23 Miami D1 NCHC SO 31 1 14 15 0.484
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.48
2022-23 · Miami
+36.5% 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

#7521
Forward overall
#346
Forward born in 2002
#140
in BCHL

D1 Comparables

Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.37 Developing
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.35 Developing
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.34 Average
NCAAe PPG

D2/3 Comparables

Jordan Reed
Curry · 2009-10
0.885 Strong
actual D2/3 PPG
Anthony Marra
SUNY Geneseo · 2014-15
1.161 Elite
actual D2/3 PPG
Ryan Cole
Trinity · 2012-13
1.846 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.