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Michael Phelan Elite Prospects ↗

Position: Defense DOB: 2006-05-04 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
2022-23 Waterloo Black Hawks USHL 2 0 0 0 0.000 — — — —
2023-24 Waterloo Black Hawks USHL 54 2 7 9 0.167 0.1025 0.1077 0.4911 0.5160
2024-25 Waterloo Black Hawks USHL 52 3 9 12 0.231 0.1419 0.1419 0.6800 0.6798
2025-26 Albany Academy NE-Prep 25 0 2 2 0.080 0.0226 0.0226 0.0366 0.0366
■ 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 Miami D1 NCHC FR 36 0 5 5 0.139
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.14
2025-26 · Miami
+14.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

0%
NCAA D2/D3
2%
Club / ACHA
78%
Other

NCAAe Rankings

#20609
Defenseman overall
#3370
Defenseman born in 2006

D1 Comparables

Kyle Mackey
USHL · 2012-13 · 0.16 PPG
→ Air Force (0.21 D1 FR PPG)
0.10 Average D
NCAAe PPG
Zach Yoder
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.31 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Lukas Buchta
USHL · 2012-13 · 0.05 PPG
→ Nebraska Omaha (0.12 D1 FR PPG)
0.03 Developing D
NCAAe PPG
Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG
Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.11 Strong D
NCAAe PPG

D2/3 Comparables

Michael McCosh
Buffalo State · 2018-19
0.217 Developing
actual D2/3 PPG
Michael Apreda
Curry · 2011-12
0.191 Developing
actual D2/3 PPG
Barry Roytman
SUNY Plattsburgh · 2007-08
0.250 Developing
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.