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Michael Montague Elite Prospects ↗

Position: Defense DOB: 2003-03-10 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 Bay State Bobcats NA3HL 45 4 13 17 0.378 0.0418 0.0426 0.1197 0.1220
2022-23 Boston Dukes EHL 29 0 3 3 0.103 0.0151 0.0152 0.0507 0.0509
2023-24 Willmar WarHawks NA3HL 47 2 20 22 0.468 0.0518 0.0480 0.1483 0.1373
■ 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 Post D2 NE10 — 11 0 0 0 0.000
2024-25 Post D2 NE10 — 6 0 1 1 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.03
before college
→
Actual FR PPG
0.17
2024-25 · Post
+406.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#20269
Defenseman overall
#3437
Defenseman born in 2003
#3401
in NA3HL

D1 Comparables

Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG

D2/3 Comparables

Brian Kang
Concordia · 2008-09
0.320 Developing
actual D2/3 PPG
Amraj Gill
Concordia (WI) · 2021-22
0.000 No data
actual D2/3 PPG
Angus Scott
Tufts · 2017-18
0.350 Average
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.