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Adam Boucher Elite Prospects ↗

Position: Defense DOB: 2003-10-27 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
2019-20 Rochester Monarchs USPHL-Premier 43 5 6 11 0.256 0.0335 0.0335 0.0868 0.0868
2020-21 Lake Erie Bighorns USPHL-Premier 41 1 16 17 0.415 0.0542 0.0542 0.1407 0.1407
2021-22 French River Rapids NOJHL 48 7 21 28 0.583 0.0974 0.1009 0.2428 0.2516
2022-23 French River Rapids NOJHL 57 3 24 27 0.474 0.0791 0.0786 0.1972 0.1959
2023-24 Hearst Lumberjacks NOJHL 58 5 30 35 0.603 0.1008 0.0948 0.2512 0.2363
■ 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 Southern New Hampshire D2 NE10 — 22 0 3 3 0.136
2024-25 Southern New Hampshire D2 NE10 — 29 0 1 1 0.035
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.03
2024-25 · Southern New Hampshire
-58.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
25%
NCAA D2/D3
40%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#12704
Defenseman overall
#2519
Defenseman born in 2003

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG

D2/3 Comparables

Tyler Gaulin
Endicott · 2021-22
0.308 Developing
actual D2/3 PPG
Stevie Bryant
UMass Boston · 2017-18
0.360 Average
actual D2/3 PPG
Jack Ohlund
New England College · 2024-25
0.417 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.