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Beau Depencier Elite Prospects ↗

Position: Forward DOB: 2004-10-03 Country: Canada
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 Atlanta Mad Hatters USPHL-Premier 44 15 17 32 0.727 0.0954 0.1052 0.2469 0.2723
2022-23 Atlanta Mad Hatters USPHL-Premier 36 21 20 41 1.139 0.1494 0.1574 0.3867 0.4075
2023-24 Pembroke Lumber Kings CCHL 9 1 2 3 0.333 0.0723 0.0718 0.2553 0.2534
2024-25 Charlotte Rush USPHL-Premier 44 17 28 45 1.023 0.1342 0.1271 0.3472 0.3288
■ 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 Manhattanville D3 UCHC FR 15 1 1 2 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.13
2025-26 · Manhattanville
+48.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D2/D3
8%
Club / ACHA
0%
Other

NCAAe Rankings

#13075
Forward overall
#611
Forward born in 2004
#671
in USPHL-Premier

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Brendan Lloyd
Wentworth · 2016-17
0.389 Average
actual D2/3 PPG
Jeremy Finger
UMass Boston · 2011-12
0.577 Average
actual D2/3 PPG
Ethan Hull
Bethel · 2024-25
0.400 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.