IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Trystan Mughal Elite Prospects ↗

Position: Defense 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 10 14 24 0.436 0.0621 0.0621 0.1811 0.1811
2020-21 Hearst Lumberjacks NOJHL 6 2 1 3 0.500 0.0712 0.0712 0.2074 0.2074
2021-22 — OJHL 53 8 13 21 0.396 0.0971 0.0921 0.2712 0.2573
■ 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 20 0 1 1 0.050
2024-25 Canton D3 SUNYAC JR 21 0 1 1 0.048
2023-24 Canton D3 — SO 13 0 3 3 0.231
2022-23 Canton D3 — FR 15 1 1 2 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.13
2022-23 · Canton
+53.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
12%
NCAA D2/D3
55%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#15074
Defenseman overall
#2527
Defenseman born in 2001
#3043
in OJHL

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG

D2/3 Comparables

Brian Prost
Western New England · 2009-10
0.880 Strong
actual D2/3 PPG
Andrew Rygiel
SUNY Geneseo · 2006-07
0.364 Average
actual D2/3 PPG
Brock Labelle
Castleton · 2011-12
0.353 Average
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.