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Quinn McKenzie Elite Prospects ↗

Position: Forward DOB: 2007-11-28 Country: USA
2026 · Round 7, Pick #222  ·  New Jersey Devils New Jersey Devils
Penn State
BigTen 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
2025-26 Soo Greyhounds OHL 65 21 30 51 0.785 0.4539 0.4661 2.0544 2.1098
2026-27 Soo Greyhounds OHL 6 1 5 6 1.000 0.5785 0.5785 2.6184 2.6184
■ 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
5%
Age-Out / Club
72%
Pro / Other

NCAAe Rankings

#7195
Forward overall
#135
Forward born in 2007
#380
in OHL

D1 Comparables

Alex Iafallo
USHL · 2012-13 · 0.86 PPG
→ Minnesota Duluth (0.61 D1 FR PPG)
0.50 Strong
NCAAe PPG
Zeb Knutson
USHL · 2012-13 · 0.82 PPG
→ Minnesota State (0.33 D1 FR PPG)
0.48 Developing
NCAAe PPG
Trevor Olson
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.16 D1 FR PPG)
0.46 Developing
NCAAe PPG
Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.53 Average
NCAAe PPG
Nathan Walker
USHL · 2012-13 · 0.93 PPG
→ Marian (0.21 D1 FR PPG)
0.54 Developing
NCAAe PPG

Penn State Alumni similar profiles who attended this school

Luke Misa
OHL 2024-25
0.51
actual FR PPG at Penn State
Alex Limoges
USHL 2016-17
0.57
actual FR PPG at Penn State
Kevin Wall
BCHL 2018-19
0.27
actual FR PPG at Penn State
Matthew DiMarsico
USHL 2022-23
0.74
actual FR PPG at Penn State

D2/3 Comparables

Lucas Signoretti
Buffalo State · 2023-24
1.120 Elite
actual D2/3 PPG
Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Ryan Reifler
Elmira · 2017-18
1.067 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.