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Liam Dennison Elite Prospects ↗

Position: Defense DOB: 1999-02-07 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
2017-18 Youngstown Phantoms USHL 45 2 6 8 0.178 0.1049 0.1041 0.5340 0.5302
2018-19 Youngstown Phantoms USHL 49 4 21 25 0.510 0.3010 0.2833 1.5323 1.4422
■ 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
2023-24 Merrimack D1 HockeyEast GR 35 2 7 9 0.257
2022-23 Merrimack D1 HockeyEast SR 17 0 2 2 0.118
2021-22 Merrimack D1 HockeyEast JR 32 0 2 2 0.062
2020-21 Merrimack D1 HockeyEast SO 15 1 0 1 0.067
2019-20 Merrimack D1 HockeyEast FR 31 1 4 5 0.161
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.16
2019-20 · Merrimack
-19.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

72%
NCAA D1
5%
NCAA D2/D3
8%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#5365
Defenseman overall
#1204
Defenseman born in 1999
#2341
in USHL

D1 Comparables

Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Tim Schneider
Middlebury · 2001-02
1.310 Elite
actual D2/3 PPG
Andrew Bellant
Adrian · 2016-17
1.462 Elite
actual D2/3 PPG
Conlan Keenan
SUNY Geneseo · 2014-15
1.296 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.