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Jayden Perron Elite Prospects ↗

Position: Forward DOB: 2005-01-11 Country: Canada
2023 · Round 3, Pick #94  ·  Carolina Hurricanes Carolina Hurricanes
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
2021-22 — USHL 60 17 28 45 0.750 0.4424 0.4809 2.2526 2.4486
2022-23 — USHL 61 24 48 72 1.180 0.6963 0.7207 3.5449 3.6691
■ 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 Michigan D1 BigTen JR 40 18 23 41 1.025
2024-25 North Dakota D1 NCHC — 31 10 9 19 0.613
2023-24 North Dakota D1 NCHC — 39 11 7 18 0.462
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.58
before college
→
Actual FR PPG
0.46
2023-24 · North Dakota
-20.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

85%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#3829
Forward overall
#76
Forward born in 2005
#117
in USHL

D1 Comparables

Tyler Kelleher
NTDP-U18 · 2012-13 · 0.88 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.63 Average
NCAAe PPG
Brendan Harms
USHL · 2012-13 · 1.09 PPG
→ Bemidji State (0.55 D1 FR PPG)
0.66 Strong
NCAAe PPG
Anthony Louis
USHL · 2012-13 · 1.04 PPG
→ Miami (0.69 D1 FR PPG)
0.64 Strong
NCAAe PPG
Zach Diamantoni
USHL · 2012-13 · 1.00 PPG
→ Northern Michigan (0.26 D1 FR PPG)
0.61 Developing
NCAAe PPG
J.T. Compher
USHL · 2012-13 · 1.14 PPG
→ Michigan (0.89 D1 FR PPG)
0.70 Elite
NCAAe PPG

D2/3 Comparables

Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Neil Trimm
Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 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.