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Matteo Michels Elite Prospects ↗

Position: Forward DOB: 2005-06-29 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 Regina Pats WHL 43 0 4 4 0.093 0.0452 0.0498 0.2282 0.2515
2022-23 Regina Pats WHL 52 2 6 8 0.154 0.0748 0.0790 0.3774 0.3984
2023-24 Regina Pats WHL 67 17 14 31 0.463 0.2251 0.2265 1.1353 1.1425
2024-25 Brandon Wheat Kings WHL 68 20 35 55 0.809 0.3935 0.3750 1.9846 1.8911
■ 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 Vermont D1 HockeyEast FR 34 3 8 11 0.324
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.32
2025-26 · Vermont
+19.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
8%
NCAA D2/D3
15%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#19458
Forward overall
#1037
Forward born in 2005
#709
in WHL

D1 Comparables

Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG
Garret Clemment
NAHL · 2012-13 · 0.93 PPG
→ Lake Superior State (0.43 D1 FR PPG)
0.34 Average
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG

D2/3 Comparables

Donny Flynn
Wilkes · 2015-16
1.423 Elite
actual D2/3 PPG
Ryan Woodward
SUNY Oswego · 2000-01
1.226 Elite
actual D2/3 PPG
Taylor McCloy
Adrian · 2013-14
1.500 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.