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Aydin Parekh Elite Prospects ↗

Position: Defense DOB: 2002-01-05 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 — OJHL 7 0 0 0 0.000 — — — —
2019-20 North York Rangers OJHL 54 3 10 13 0.241 0.0590 0.0590 0.1657 0.1657
2020-21 North York Rangers OJHL 0 0 0 0 0.000 — — — —
2021-22 North York Rangers OJHL 47 4 18 22 0.468 0.1147 0.1091 0.3222 0.3066
2022-23 — OJHL 55 10 38 48 0.873 0.2139 0.1926 0.6007 0.5409
■ 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 Utica D3 UCHC GR 29 1 13 14 0.483
2024-25 Utica D3 UCHC SR 31 0 23 23 0.742
2023-24 Utica D3 UCHC JR 20 1 4 5 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.25
2023-24 · Utica
+66.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
15%
NCAA D2/D3
32%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#8304
Defenseman overall
#1912
Defenseman born in 2002
#1775
in OJHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Evan Pringle
Canton · 2021-22
0.800 Strong
actual D2/3 PPG
Alex Doyle
Bryn Athyn · 2016-17
0.600 Average
actual D2/3 PPG
Ross Sloan
SUNY Plattsburgh · 2014-15
0.529 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.