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Ethan Beaumont Elite Prospects ↗

Position: Forward DOB: 2002-05-18 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 Connecticut Jr. Rangers NCDC 37 8 8 16 0.432 0.0999 0.0991 0.3484 0.3455
2022-23 Boston Advantage NCDC 47 14 19 33 0.702 0.1623 0.1541 0.5658 0.5374
■ 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 Lawrence D3 NCHA GR 17 3 4 7 0.412
2024-25 Lawrence D3 NCHA SR 23 2 5 7 0.304
2023-24 Lawrence D3 NCHA JR 27 6 14 20 0.741
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.74
2023-24 · Lawrence
+554.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#13465
Forward overall
#670
Forward born in 2002
#345
in NCDC

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Parker Mismash
St. Scholastica · 2016-17
0.615 Average
actual D2/3 PPG
Will Gauthier
Milwaukee School of Engineering · 2016-17
0.550 Average
actual D2/3 PPG
Dain Sardelli
Concordia (WI) · 2021-22
0.444 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.