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Matthew Buckley Elite Prospects ↗

Position: Forward DOB: 2005-03-21 Country: Canada
No commitment set

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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
2021-22 Oshawa Generals OHL 59 9 5 14 0.237 0.1373 0.1491 0.6213 0.6745
2022-23 Oshawa Generals OHL 48 8 5 13 0.271 0.1567 0.1633 0.7091 0.7391
2023-24 Oshawa Generals OHL 63 30 21 51 0.809 0.4683 0.4657 2.1196 2.1078
2024-25 Oshawa Generals OHL 67 13 22 35 0.522 0.3022 0.2849 1.3679 1.2897
■ 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 RPI D1 ECAC — 34 5 7 12 0.353
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.35
2025-26 · RPI
+15.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
12%
NCAA D2/D3
28%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#14351
Forward overall
#701
Forward born in 2005
#665
in OHL

D1 Comparables

Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG

D2/3 Comparables

Jason Murfitt
Manhattanville · 2002-03
0.875 Strong
actual D2/3 PPG
Tyler Perkins
Finlandia · 2018-19
0.750 Strong
actual D2/3 PPG
Pier-Olivier Cotnoir
Norwich · 2008-09
0.808 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.