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Alton McDermott Elite Prospects ↗

Position: Forward DOB: 2001-06-04 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
2017-18 King Rebellion OJHL 10 2 6 8 0.800 0.1961 0.2190 0.5508 0.6152
2018-19 Oakville Blades OJHL 52 20 16 36 0.692 0.1697 0.1812 0.4766 0.5090
2019-20 Oakville Blades OJHL 41 24 13 37 0.902 0.2212 0.2212 0.6213 0.6213
2020-21 Oakville Blades OJHL 0 0 0 0 0.000 — — — —
■ 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 Canisius D1 AHA — 17 8 6 14 0.824
2024-25 Canisius D1 AHA SR 33 7 8 15 0.455
2023-24 Canisius D1 AHA JR 0 0 0 0 0.000
2022-23 Canisius D1 AHA SO 27 7 4 11 0.407
2021-22 Canisius D1 AHA FR 25 1 2 3 0.120
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.12
2021-22 · Canisius
-28.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
0%
NCAA D2/D3
72%
Pro / Other

NCAAe Rankings

#22266
Forward overall
#1099
Forward born in 2001
#950
in OJHL

D1 Comparables

Zach Evancho
USHL · 2012-13 · 0.26 PPG
→ Army (0.62 D1 FR PPG)
0.16 Strong
NCAAe PPG
Dawson Cook
NTDP-U18 · 2012-13 · 0.24 PPG
→ Notre Dame (0.06 D1 FR PPG)
0.17 Developing
NCAAe PPG
Dylan McLaughlin
USHL · 2012-13 · 0.33 PPG
→ Canisius (0.67 D1 FR PPG)
0.20 Strong
NCAAe PPG
Jake Ahlgren
USHL · 2012-13 · 0.25 PPG
→ Bentley (0.35 D1 FR PPG)
0.16 Average
NCAAe PPG
Matt Mendelson
USHL · 2012-13 · 0.18 PPG
→ Penn State (0.11 D1 FR PPG)
0.11 Developing
NCAAe PPG

D2/3 Comparables

Patrick Del Vecchio
Alvernia · 2017-18
0.667 Strong
actual D2/3 PPG
Anthony Piccininno
Alvernia · 2021-22
0.875 Strong
actual D2/3 PPG
Artjoms Koppass
Curry · 2017-18
0.250 Developing
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.