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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 0.1198 0.1242 0.3121 0.3236
2022-23 La Ronge Ice Wolves SJHL 28 6 23 29 1.036 0.2992 0.2953 0.7797 0.7694
2023-24 — SJHL 41 7 28 35 0.854 0.2466 0.2316 0.6427 0.6037
■ 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 D3 MIAC SO 21 1 2 3 0.143
2024-25 Saint Mary's D3 MIAC FR 23 2 2 4 0.174
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.17
2024-25 · Saint Mary's
-28.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
10%
NCAA D2/D3
55%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#2849
Defenseman overall
#625
Defenseman born in 2003
#344
in SJHL

D1 Comparables

John Rey
NAHL · 2012-13 · 0.70 PPG
→ Robert Morris (0.32 D1 FR PPG)
0.25 Strong D
NCAAe PPG
Drew Brevig
NAHL · 2012-13 · 0.64 PPG
→ Ohio State (0.50 D1 FR PPG)
0.22 Elite D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.19 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)
0.14 Developing D
NCAAe PPG

D2/3 Comparables

Brett Way
Augsburg · 2004-05
0.520 Average
actual D2/3 PPG
Dakota Zarudny
SUNY Geneseo · 2021-22
0.727 Strong
actual D2/3 PPG
Lawson MacDougall
Hobart · 2015-16
0.750 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.