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Fernand-Olivier Perron Elite Prospects ↗

Position: Forward DOB: 2004-02-13 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
2022-23 Cornwall Colts CCHL 42 7 10 17 0.405 0.0878 0.0890 0.3134 0.3178
2023-24 Cornwall Colts CCHL 54 20 21 41 0.759 0.1647 0.1582 0.5878 0.5647
2024-25 — CCHL 52 23 40 63 1.212 0.2628 0.2406 0.9378 0.8587
■ 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 New England D3 — — 13 4 7 11 0.846
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.85
2025-26 · New England
+376.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
5%
NCAA D2/D3
48%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#17379
Forward overall
#872
Forward born in 2004
#270
in CCHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Mitchell Parsons
SUNY Brockport · 2017-18
0.577 Average
actual D2/3 PPG
Henry McKinney
Nazareth · 2018-19
0.536 Average
actual D2/3 PPG
Brendan Prappas
Trine · 2018-19
0.929 Strong
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.