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Matthew York Elite Prospects ↗

Position: Defense DOB: 2001-12-11 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
2017-18 Kemptville 73's CCHL 8 0 0 0 0.000 — — — —
2018-19 Kemptville 73's CCHL 58 0 4 4 0.069 0.0150 0.0165 0.0534 0.0589
2019-20 Kemptville 73's CCHL 60 2 3 5 0.083 0.0181 0.0181 0.0645 0.0645
2020-21 Kemptville 73's CCHL 0 0 0 0 0.000 — — — —
2021-22 Kemptville 73's CCHL 49 5 20 25 0.510 0.1107 0.1052 0.3949 0.3752
■ 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 Elmira D3 UCHC SR 23 0 4 4 0.174
2024-25 Elmira D3 UCHC JR 25 0 4 4 0.160
2023-24 Elmira D3 UCHC SO 26 1 7 8 0.308
2022-23 Elmira D3 UCHC FR 7 0 1 1 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.14
2022-23 · Elmira
+117.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
15%
NCAA D2/D3
48%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#19060
Defenseman overall
#2944
Defenseman born in 2001
#1523
in CCHL

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG

D2/3 Comparables

Ian Zaleski
Becker · 2018-19
0.476 Average
actual D2/3 PPG
Max Rasberg
New England · 2015-16
0.964 Strong
actual D2/3 PPG
A.J. Bella
Manhattanville · 2018-19
0.000 No data
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.