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Matthew Lee Elite Prospects ↗

Position: Forward DOB: 2005-11-08 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
2022-23 West Kelowna Warriors BCHL 19 2 5 7 0.368 0.1419 0.1559 0.5361 0.5889
2023-24 Trenton Golden Hawks OJHL 50 10 21 31 0.620 0.1520 0.1582 0.4269 0.4442
2024-25 Buffalo Jr. Sabres OJHL 51 16 30 46 0.902 0.2211 0.2187 0.6210 0.6143
■ 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 SUNY Brockport D3 SUNYAC FR 26 8 11 19 0.731
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.73
2025-26 · SUNY Brockport
+338.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
5%
NCAA D2/D3
22%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#26411
Forward overall
#1511
Forward born in 2005

D1 Comparables

Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Austin Vieth
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Billy Collins
Amherst · 2000-01
0.440 Average
actual D2/3 PPG
Maxwell Reavis
UMass Boston · 2010-11
1.000 Elite
actual D2/3 PPG
Richard Manley
SUNY Geneseo · 2008-09
1.150 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.