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Justin Lee Elite Prospects ↗

Position: Defense DOB: 2000-03-14 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
2016-17 Notre Dame Hounds SJHL 6 0 2 2 0.333 0.0854 0.0963 0.2512 0.2833
2017-18 Virden Oil Capitals MJHL 57 7 28 35 0.614 0.1182 0.1269 0.3872 0.4156
2018-19 — USHL 62 6 24 30 0.484 0.2855 0.2844 1.4533 1.4477
■ 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
2022-23 Denver D1 NCHC SR 40 6 7 13 0.325
2021-22 Denver D1 NCHC JR 38 3 13 16 0.421
2020-21 Denver D1 NCHC SO 24 4 2 6 0.250
2019-20 Denver D1 NCHC FR 31 2 4 6 0.194
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.19
2019-20 · Denver
-7.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
0%
NCAA D2/D3
10%
Pro / Other

NCAAe Rankings

#4800
Defenseman overall
#1032
Defenseman born in 2000

D1 Comparables

Jeff Taylor
USHL · 2012-13 · 0.47 PPG
→ Union (0.39 D1 FR PPG)
0.28 Strong D
NCAAe PPG
Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.22 Average D
NCAAe PPG
Jaccob Slavin
USHL · 2012-13 · 0.53 PPG
→ Colorado College (0.78 D1 FR PPG)
0.31 Elite D
NCAAe PPG
Nolan Gluchowski
USHL · 2012-13 · 0.40 PPG
→ St. Lawrence (0.55 D1 FR PPG)
0.23 Elite D
NCAAe PPG
Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.36 Developing D
NCAAe PPG

D2/3 Comparables

Neil Trimm
Neumann · 2001-02
1.800 Elite
actual D2/3 PPG
Chris Peters
UMass Boston · 2015-16
0.720 Strong
actual D2/3 PPG
Myles Abbate
Plymouth State · 2018-19
1.037 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.