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Noah Lafleur Elite Prospects ↗

Position: Forward DOB: 2003-11-21 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 Sparta/West Salem (Wis.) USHS-MN 2 5 0 5 2.500 0.3080 0.3080 0.6073 0.6073
2022-23 Steele County Blades USPHL-Premier 41 29 22 51 1.244 0.1403 0.1418 0.4232 0.4276
2023-24 Steele County Blades USPHL-Premier 41 32 24 56 1.366 0.1541 0.1483 0.4647 0.4471
■ 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 Johnson & Wales D3 CNE — 7 1 0 1 0.143
2024-25 Johnson & Wales D3 CNE — 24 5 3 8 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.33
2024-25 · Johnson & Wales
+167.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D2/D3
2%
Club / ACHA
2%
Other

NCAAe Rankings

#7432
Forward overall
#281
Forward born in 2003

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Kyle Stroh
St. Norbert · 2008-09
0.481 Average
actual D2/3 PPG
Connor Roach
SUNY Brockport · 2022-23
0.421 Average
actual D2/3 PPG
Todd Jackson
Norwich · 2015-16
0.379 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.