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Julien Denicourt Elite Prospects ↗

Position: Defense DOB: 1996-08-26 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
2015-16 Hawkesbury Hawks CCHL 57 7 19 26 0.456 0.0989 0.0975 0.3531 0.3482
■ 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
2019-20 Hobart D1 — SR 28 5 10 15 0.536
2019-20 Hobart D3 SUNYAC SR 28 5 10 15 0.536
2018-19 Hobart D1 — JR 24 6 8 14 0.583
2018-19 Hobart D3 SUNYAC JR 24 6 8 14 0.583
2017-18 Hobart D3 SUNYAC SO 27 2 8 10 0.370
2016-17 Hobart D3 SUNYAC FR 22 3 6 9 0.409
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.41
2016-17 · Hobart
+344.7% vs. projection

NCAAe Rankings

#11076
Defenseman overall
#1624
Defenseman born in 1996
#953
in CCHL

D1 Comparables

Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG

D2/3 Comparables

Rich Dady
Fitchburg State · 2003-04
0.500 Average
actual D2/3 PPG
Cody Keefer
St. Norbert · 2007-08
0.839 Strong
actual D2/3 PPG
Luke Panchisin
SUNY Geneseo · 2021-22
1.154 Elite
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.