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Max Gorzelnik Elite Prospects ↗

Position: Forward DOB: 2004-01-14 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
2023-24 Hearst Lumberjacks NOJHL 26 8 8 16 0.615 0.1028 0.0978 0.2562 0.2438
■ 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 Stony Brook University ACHA_D1 — — 9 0 2 2 0.222
2024-25 Stony Brook University ACHA_D1 — — 9 0 2 2 0.222
2023-24 Stony Brook University ACHA_D1 — — 9 0 2 2 0.222
2022-23 Stony Brook University ACHA_D1 — — 9 0 2 2 0.222
2021-22 Stony Brook University ACHA_D1 — — 9 0 2 2 0.222
2020-21 Stony Brook University ACHA_D1 — — 9 0 2 2 0.222

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
22%
NCAA D2/D3
30%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#47341
Forward overall
#3211
Forward born in 2004

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Clint Olson
SUNY Geneseo · 2006-07
0.583 Average
actual D2/3 PPG
Travis Whitehead
Wisconsin-Superior · 2003-04
0.500 Average
actual D2/3 PPG
Carter Breitenfeldt
Colby · 2018-19
0.417 Average
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.