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Jordyn Mughal Elite Prospects ↗

Position: Forward DOB: 2001-12-14 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
2018-19 Markham Royals OJHL 1 0 0 0 0.000 — — — —
2019-20 Hearst Lumberjacks NOJHL 55 7 15 22 0.400 0.0570 0.0570 0.1660 0.1660
2020-21 P.A.L. Junior Islanders NCDC 5 1 0 1 0.200 0.0462 0.0462 0.2074 0.2074
2021-22 — OJHL 45 4 10 14 0.311 0.0763 0.0724 0.2129 0.2020
■ 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 Canton D3 SUNYAC SR 22 2 0 2 0.091
2024-25 Canton D3 SUNYAC JR 22 2 2 4 0.182
2023-24 Canton D3 — SO 19 0 1 1 0.053
2022-23 Canton D3 — FR 20 0 2 2 0.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.10
2022-23 · Canton
+61.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
18%
NCAA D2/D3
42%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#47840
Forward overall
#2835
Forward born in 2001
#3530
in OJHL

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

Shane Bailey
Wisconsin-Superior · 2006-07
0.231 Developing
actual D2/3 PPG
Ryan Bartlett
SUNY Potsdam · 2022-23
0.000 No data
actual D2/3 PPG
Cam Russo
Colby · 2024-25
0.000 No data
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.