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Michael Felsing Elite Prospects ↗

Position: Forward DOB: 2003-02-11 Country: USA
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
2021-22 Northern Cyclones NCDC 33 13 14 27 0.818 0.3336 0.3431 — —
2022-23 Northern Cyclones NCDC 49 15 32 47 0.959 0.3911 0.3858 0.7710 0.7606
2023-24 Merritt Centennials BCHL 53 16 42 58 1.094 0.4216 0.3860 1.5925 1.4581
■ 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 Robert Morris D1 AHA SO 39 8 10 18 0.462
2024-25 Robert Morris D1 AHA — 34 7 15 22 0.647
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.65
2024-25 · Robert Morris
+95.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
2%
NCAA D2/D3
32%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#6142
Forward overall
#208
Forward born in 2003

D1 Comparables

Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

A.J. Tucker
St. Scholastica · 2004-05
1.111 Elite
actual D2/3 PPG
Devin Panzeca
SUNY Potsdam · 2017-18
0.667 Strong
actual D2/3 PPG
Mike Rey
Neumann · 2009-10
1.071 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.