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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 0.1926 0.2099 0.9806 1.0685
2017-18 Youngstown Phantoms USHL 58 17 21 38 0.655 0.3865 0.4020 1.9678 2.0466
2018-19 USHL 57 13 19 32 0.561 0.3312 0.3274 1.6861 1.6667
2024-25 Jukurit Liiga 25 8 10 18 0.720 1.8000 1.9589 6.1892 6.7355
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
0.31
before college
Actual FR PPG
0.12
2019-20 · Notre Dame
-59.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

🏒 NHL / Pro Track — production profile is consistent with players who bypassed or minimized college hockey
0%
NCAA D1
0%
NCAA D2/D3
100%
NHL / Pro

NCAAe Rankings

D2/3 Comparables

Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Utica · 2018-19
1.448 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.