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Liam McInnis Elite Prospects ↗

Position: Defense DOB: 2003-05-10 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 — SJHL 41 4 13 17 0.415 0.1062 0.1101 0.3125 0.3240
2022-23 La Ronge Ice Wolves SJHL 28 6 23 29 1.036 0.2653 0.2618 0.7807 0.7704
2023-24 — SJHL 41 7 28 35 0.854 0.2187 0.2054 0.6435 0.6044
■ 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 Saint Mary's (MN) D3 MIAC SO 21 1 2 3 0.143
2024-25 Saint Mary's (MN) D3 MIAC FR 23 2 2 4 0.174
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.17
2024-25 · Saint Mary's (MN)
-19.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
10%
NCAA D2/D3
25%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#4667
Defenseman overall
#1145
Defenseman born in 2003
#274
in SJHL

D1 Comparables

Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG

D2/3 Comparables

Christian Lloyd
Elmira · 2015-16
0.792 Strong
actual D2/3 PPG
Devin Cobbold
Wentworth · 2011-12
0.625 Average
actual D2/3 PPG
Dakota Zarudny
SUNY Geneseo · 2021-22
0.727 Strong
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.