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Matt Buckles Elite Prospects ↗

Position: Forward DOB: 1995-05-05 Country: Canada
2013 · Round 4, Pick #98  ·  Florida Panthers Florida Panthers
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
2011-12 Toronto Patriots OJHL 46 15 21 36 0.783 0.1918 0.2136 0.5388 0.5999
2012-13 St. Michael's Buzzers OJHL 50 40 31 71 1.420 0.3480 0.3701 0.9777 1.0399
■ 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
2016-17 Cornell D1 ECAC SR 29 9 9 18 0.621
2015-16 Cornell D1 ECAC JR 31 8 3 11 0.355
2014-15 Cornell D1 ECAC SO 29 8 3 11 0.379
2013-14 Cornell D1 ECAC FR 29 4 0 4 0.138
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.14
2013-14 · Cornell
-47.6% vs. projection

NCAAe Rankings

#12321
Forward overall
#499
Forward born in 1995
#284
in OJHL

D1 Comparables

Scott Conway
NAHL · 2012-13 · 0.95 PPG
→ Penn State (0.76 D1 FR PPG)
0.38 Strong
NCAAe PPG
Frederik Tiffels
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.66 D1 FR PPG)
0.31 Strong
NCAAe PPG
Mike Marnell
USHL · 2012-13 · 0.49 PPG
→ St. Lawrence (0.53 D1 FR PPG)
0.30 Average
NCAAe PPG
Matthew Weis
USHL · 2012-13 · 0.71 PPG
→ Ohio State (0.67 D1 FR PPG)
0.44 Strong
NCAAe PPG
Luke Stork
USHL · 2012-13 · 0.47 PPG
→ Ohio State (0.33 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Michael Aiello
UMass Dartmouth · 2005-06
1.000 Elite
actual D2/3 PPG
Pat Egan
SUNY Plattsburgh · 2012-13
1.080 Elite
actual D2/3 PPG
Chad Merrell
University of New England · 2015-16
0.611 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.