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Max Heise Elite Prospects ↗

Position: Forward DOB: 2006-02-26 Country: Canada
2025 · Round 5, Pick #150  ·  San Jose Sharks San Jose Sharks
⚠️ Aging Out 2026-27: Turns 20 before Dec 31, 2026 — final eligible junior season.
Denver
NCHC D1

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
2022-23 — AJHL 5 1 0 1 0.200 0.0671 0.0747 0.1851 0.2060
2023-24 — BCHL 49 6 13 19 0.388 0.1494 0.1595 0.5644 0.6026
2024-25 — BCHL 50 27 13 40 0.800 0.3082 0.3136 1.1642 1.1845
2025-26 Prince Albert Raiders WHL 63 29 34 63 1.000 0.4865 0.4572 2.4537 2.3058
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
60%
Pro / Other

NCAAe Rankings

#12202
Forward overall
#458
Forward born in 2006

D1 Comparables

Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG

Denver Alumni similar profiles who attended this school

Ryan Barrow
BCHL 2016-17
0.23
actual FR PPG at Denver
Jarid Lukosevicius
BCHL 2014-15
0.29
actual FR PPG at Denver
Brady Milburn
BCHL 2024-25
0.15
actual FR PPG at Denver
Connor Caponi
USHL 2019-20
0.17
actual FR PPG at Denver

D2/3 Comparables

Donny Flynn
Wilkes · 2016-17
1.423 Elite
actual D2/3 PPG
Jared Goudreau
Southern New Hampshire · 2014-15
0.833 Strong
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 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.