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Nathan Ouellet Elite Prospects ↗

Position: Forward DOB: 2009-02-27 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
2025-26 Shawinigan Cataractes QMJHL 9 3 2 5 0.556 0.2730 0.2997 1.4836 1.6289
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
70%
Pro / Other

NCAAe Rankings

D1 Comparables

Ryan Hitchcock
USHL · 2012-13 · 0.50 PPG
→ Yale (0.45 D1 FR PPG)
0.32 Average
NCAAe PPG
Cullen Munson
USHL · 2012-13 · 0.50 PPG
→ Minnesota
0.32 No data
NCAAe PPG
Dylan Pavelek
NTDP-U18 · 2012-13 · 0.33 PPG
→ Michigan State
0.25 No data
NCAAe PPG
Liam Pecararo
USHL · 2012-13 · 0.36 PPG
→ Maine (0.36 D1 FR PPG)
0.23 Average
NCAAe PPG
Jared Fiegl
NTDP-U18 · 2012-13 · 0.30 PPG
→ Cornell (0.04 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Chris Atkinson
Curry · 2005-06
0.962 Strong
actual D2/3 PPG
John Moncovich
Utica · 2016-17
0.864 Strong
actual D2/3 PPG
Caden Smith
Chatham · 2019-20
1.292 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.