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Ayrton Martino Elite Prospects ↗

Position: Forward DOB: 2002-09-28 Country: Canada
2021 · Round 3, Pick #73  ·  Dallas Stars Dallas Stars
Signed Professionally

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
2018-19 — OJHL 49 10 32 42 0.857 0.2101 0.2382 0.5901 0.6690
2019-20 — OJHL 48 29 50 79 1.646 0.4034 0.4034 1.1331 1.1331
2020-21 — USHL 38 18 38 56 1.474 0.8693 0.8693 4.4261 4.4261
■ 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
2024-25 Clarkson D1 ECAC SR 39 25 26 51 1.308
2023-24 Clarkson D1 ECAC JR 31 9 18 27 0.871
2022-23 Clarkson D1 ECAC SO 37 9 29 38 1.027
2021-22 Clarkson D1 ECAC FR 37 7 22 29 0.784
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.78
2021-22 · Clarkson
+284.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
0%
NCAA D2/D3
82%
Pro / Other

NCAAe Rankings

D1 Comparables

Dylan Gambrell
USHL · 2012-13 · 0.47 PPG
→ Denver (1.15 D1 FR PPG)
0.31 Elite
NCAAe PPG
Anders Bjork
USHL · 2012-13 · 0.39 PPG
→ Notre Dame (0.54 D1 FR PPG)
0.26 Average
NCAAe PPG
Dylan Larkin
USHL · 2012-13 · 0.38 PPG
→ Michigan (1.34 D1 FR PPG)
0.25 Elite
NCAAe PPG
Nolan Stevens
NTDP-U18 · 2012-13 · 0.31 PPG
→ Northeastern (0.33 D1 FR PPG)
0.24 Developing
NCAAe PPG
Chris Wilkie
USHL · 2012-13 · 0.37 PPG
→ North Dakota (0.28 D1 FR PPG)
0.24 Developing
NCAAe PPG

D2/3 Comparables

Sam Huff
St. Thomas · 2014-15
0.400 Average
actual D2/3 PPG
Mickey Gilchrist
Middlebury · 2000-01
1.000 Elite
actual D2/3 PPG
Richard Manley
SUNY Geneseo · 2006-07
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.