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Michael Burchill Elite Prospects ↗

Position: Forward DOB: 2005-04-29 Country: USA
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
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 Dubuque Fighting Saints USHL 53 11 8 19 0.358 0.2204 0.2428 1.0562 1.1637
2022-23 Dubuque Fighting Saints USHL 61 13 25 38 0.623 0.3830 0.4021 1.8355 1.9269
2023-24 Youngstown Phantoms USHL 59 13 21 34 0.576 0.3543 0.3544 1.6979 1.6982
2024-25 Youngstown Phantoms USHL 60 11 7 18 0.300 0.1844 0.1750 0.8839 0.8389
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 Northern Michigan D1 CCHA FR 31 5 3 8 0.258
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
Actual FR PPG
0.26
2025-26 · Northern Michigan
+22.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
12%
NCAA D2/D3
30%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#17283
Forward overall
#918
Forward born in 2005
#1732
in USHL

D1 Comparables

USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.15 Developing
NCAAe PPG
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
OHL · 2012-13 · 0.19 PPG
→ New Hampshire
0.10 No data
NCAAe PPG

D2/3 Comparables

UMass Boston · 2016-17
0.720 Strong
actual D2/3 PPG
Norwich · 2008-09
0.731 Strong
actual D2/3 PPG
Saint Anselm · 2016-17
0.655 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.