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Alton McDermott Elite Prospects ↗

Position: Forward DOB: 2001-06-04 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 King Rebellion OJHL 10 2 6 8 0.800 0.2403 0.2684 0.5476 0.6116
2018-19 Oakville Blades OJHL 52 20 16 36 0.692 0.2080 0.2221 0.4739 0.5061
2019-20 Oakville Blades OJHL 41 24 13 37 0.902 0.2711 0.2711 0.6177 0.6177
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
0.21
before college
→
Actual FR PPG
0.12
2021-22 · Canisius
-41.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
0%
NCAA D2/D3
68%
Pro / Other

NCAAe Rankings

#21928
Forward overall
#1065
Forward born in 2001
#1175
in OJHL

D1 Comparables

Dylan McLaughlin
USHL · 2012-13 · 0.33 PPG
→ Canisius (0.67 D1 FR PPG)
0.21 Strong
NCAAe PPG
Dawson Cook
USHL · 2012-13 · 0.32 PPG
→ Notre Dame (0.06 D1 FR PPG)
0.21 Developing
NCAAe PPG
Zach Evancho
USHL · 2012-13 · 0.26 PPG
→ Army (0.62 D1 FR PPG)
0.17 Strong
NCAAe PPG
Tyler Moy
USHL · 2012-13 · 0.36 PPG
→ Harvard (0.37 D1 FR PPG)
0.23 Average
NCAAe PPG
Jack Jenkins
USHL · 2012-13 · 0.42 PPG
→ Notre Dame (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Artjoms Koppass
Curry · 2017-18
0.250 Developing
actual D2/3 PPG
Logan Haskins
Gustavus Adolphus · 2014-15
0.250 Developing
actual D2/3 PPG
Chris Santiago
Utica · 2006-07
0.769 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.