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Lee Chiang Elite Prospects ↗

Position: Forward DOB: 2002-12-07 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
2019-20 Toronto Patriots OJHL 44 8 21 29 0.659 0.1980 0.1980 0.4512 0.4512
2020-21 Toronto Patriots OJHL 0 0 0 0 0.000 — — — —
2021-22 Aurora Tigers OJHL 48 21 14 35 0.729 0.2191 0.2186 0.4991 0.4979
2022-23 Markham Royals OJHL 8 4 2 6 0.750 0.2253 0.2132 0.5134 0.4859
■ 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 Robert Morris D1 AHA JR 2 0 1 1 0.500
2024-25 Robert Morris D1 AHA — 3 0 0 0 0.000
2023-24 Robert Morris D1 AHA — 3 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
8%
NCAA D2/D3
55%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#26607
Forward overall
#1518
Forward born in 2002
#1603
in OJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Sean McKenzie
Suffolk · 2009-10
0.625 Average
actual D2/3 PPG
Nick Rosa
Babson · 2016-17
0.692 Strong
actual D2/3 PPG
Stefan Seel
Concordia · 2014-15
0.769 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.