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Michael Quinn Elite Prospects ↗

Position: Defense DOB: 2003-03-25 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 — USHL 58 4 14 18 0.310 0.1907 0.1901 0.9142 0.9114
2022-23 Minnesota Wilderness NAHL 43 8 21 29 0.674 0.2672 0.2641 0.7081 0.7000
2023-24 Fargo Force USHL 62 6 31 37 0.597 0.3669 0.3285 1.7583 1.5742
■ 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 — 36 4 15 19 0.528
2024-25 Miami D1 NCHC — 34 2 10 12 0.353
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.35
2024-25 · Miami
+23.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D1
10%
NCAA D2/D3
35%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#3173
Defenseman overall
#799
Defenseman born in 2003
#1612
in USHL

D1 Comparables

Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.25 Elite D
NCAAe PPG
Paul LaDue
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.44 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG

D2/3 Comparables

Hunter Scanlon
UMass Dartmouth · 2023-24
0.611 Average
actual D2/3 PPG
Tanner Dalton
Milwaukee School of Engineering · 2017-18
0.000 No data
actual D2/3 PPG
Peter Magagna
SUNY Oswego · 2004-05
0.926 Strong
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.