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Marc Michaelis Elite Prospects ↗

Position: Forward DOB: 1995-07-31 Country: Germany
Signed Professionally
Adler Mannheim · DEL

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
2011-12 Jungadler Mannheim U18 DNL 34 2 11 13 0.382 0.0590 0.0637 0.2474 0.2671
2012-13 Jungadler Mannheim U18 DNL 34 27 34 61 1.794 0.2767 0.2858 1.1608 1.1991
2013-14 Jungadler Mannheim U18 DNL 36 28 37 65 1.806 0.2784 0.2649 1.1682 1.1117
2014-15 Green Bay Gamblers USHL 32 15 8 23 0.719 0.4418 0.4258 2.1177 2.0411
2015-16 Green Bay Gamblers USHL 59 10 41 51 0.864 0.5313 0.4874 2.5467 2.3361
2024-25 Adler Mannheim DEL 52 12 19 31 0.596 0.6520 0.6312 — —
2025-26 Adler Mannheim DEL 52 11 31 42 0.808 0.8833 0.8966 — —
■ 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
2019-20 Minnesota D1 BigTen — 31 20 24 44 1.419
2019-20 Minnesota State D1 WCHA SR 31 20 24 44 1.419
2018-19 Minnesota D1 BigTen — 42 19 23 42 1.000
2018-19 Minnesota State D1 WCHA JR 42 19 23 42 1.000
2017-18 Minnesota D1 BigTen — 36 18 22 40 1.111
2017-18 Minnesota State D1 WCHA SO 36 18 22 40 1.111
2016-17 Minnesota D1 BigTen — 39 14 22 36 0.923
2016-17 Minnesota State D1 WCHA FR 39 14 22 36 0.923
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.40
before college
→
Actual FR PPG
0.92
2016-17 · Minnesota
+133.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

⭐ Elite profile — high probability of D1 placement; comparable to top-end prospects
28%
NCAA D1
0%
NCAA D2/D3
72%
Pro / Other

NCAAe Rankings

#2757
Forward overall
#157
Forward born in 1995

D2/3 Comparables

Donny Flynn
Wilkes · 2016-17
1.423 Elite
actual D2/3 PPG
Jason Yuel
Curry · 2006-07
1.769 Elite
actual D2/3 PPG
Jason Kalinowski
Endicott · 2015-16
1.310 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.