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Ryder Matter Elite Prospects ↗

Position: Forward DOB: 2004-09-15 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
2020-21 Fort McMurray Oil Barons AJHL 7 3 1 4 0.571 0.1896 0.1896 0.5296 0.5296
2021-22 Fort McMurray Oil Barons AJHL 60 15 21 36 0.600 0.1991 0.2170 0.5561 0.6061
2022-23 Fort McMurray Oil Barons AJHL 50 11 18 29 0.580 0.1924 0.2002 0.5375 0.5592
2023-24 Spruce Grove Saints AJHL 46 12 14 26 0.565 0.1875 0.1862 0.5238 0.5202
■ 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 Michigan Tech D1 CCHA SO 4 0 0 0 0.000
2024-25 Michigan Tech D1 CCHA — 19 2 1 3 0.158
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.16
2024-25 · Michigan Tech
-3.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
10%
NCAA D2/D3
20%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#27962
Forward overall
#1624
Forward born in 2004

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.12 Average
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.23 Strong
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.17 Developing
NCAAe PPG

D2/3 Comparables

Logan Nelson
Wisconsin-Stout · 2012-13
0.593 Average
actual D2/3 PPG
Stephen Ginand
UMass Dartmouth · 2010-11
0.778 Strong
actual D2/3 PPG
Shane Bull
SUNY Oswego · 2018-19
0.684 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.