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Max Ellis Elite Prospects ↗

Position: Forward DOB: 2000-01-18 Country: USA
Signed Professionally
Jukurit · Liiga

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
2016-17 Youngstown Phantoms USHL 49 5 11 16 0.327 0.2079 0.2265 0.9784 1.0661
2017-18 Youngstown Phantoms USHL 58 17 21 38 0.655 0.4172 0.4339 1.9634 2.0421
2018-19 — USHL 57 13 19 32 0.561 0.3575 0.3534 1.6823 1.6629
2024-25 Jukurit Liiga 25 8 10 18 0.720 — — — —
■ 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
2021-22 Notre Dame D1 BigTen JR 39 16 12 28 0.718
2020-21 Notre Dame D1 BigTen SO 24 5 11 16 0.667
2019-20 Notre Dame D1 BigTen FR 8 1 0 1 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.12
2019-20 · Notre Dame
-62.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

85%
NCAA D1
2%
NCAA D2/D3
2%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

D1 Comparables

Andrew Poturalski
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.72 D1 FR PPG)
0.39 Strong
NCAAe PPG
Kyle Schempp
USHL · 2012-13 · 0.64 PPG
→ Ferris State (0.58 D1 FR PPG)
0.40 Strong
NCAAe PPG
Joe Cox
USHL · 2012-13 · 0.65 PPG
→ Michigan State (0.33 D1 FR PPG)
0.40 Developing
NCAAe PPG
Peter Krieger
NAHL · 2012-13 · 0.92 PPG
→ Alaska (0.39 D1 FR PPG)
0.35 Average
NCAAe PPG
Andrew Faust
NAHL · 2012-13 · 0.68 PPG
→ Army (0.17 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Geordan Buffoline
New England · 2017-18
1.667 Elite
actual D2/3 PPG
Pat Egan
SUNY Plattsburgh · 2013-14
1.080 Elite
actual D2/3 PPG
Bud Winter
Saint Mary's · 2017-18
1.091 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.