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Owen Lalonde Elite Prospects ↗

Position: Defense DOB: 2000-02-01 Country: Canada
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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
2016-17 Sudbury Wolves OHL 64 2 10 12 0.188 0.1088 0.1178 0.4805 0.5202
2017-18 Guelph Storm OHL 67 1 21 22 0.328 0.1906 0.1967 0.8415 0.8683
2018-19 Guelph Storm OHL 68 7 34 41 0.603 0.3499 0.3445 1.5449 1.5211
2019-20 — OHL 57 2 23 25 0.439 0.2545 0.2545 1.1239 1.1239
■ 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 Miami D1 NCHC — 9 0 2 2 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.22
2025-26 · Miami
-17.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
2%
NCAA D2/D3
5%
Age-Out / Club
65%
Pro / Other

NCAAe Rankings

#3760
Defenseman overall
#830
Defenseman born in 2000
#1177
in OHL

D1 Comparables

Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.37 Developing D
NCAAe PPG
Ryan Lowney
USHL · 2012-13 · 0.65 PPG
→ Ferris State (0.35 D1 FR PPG)
0.39 Strong D
NCAAe PPG
Nolan Gluchowski
USHL · 2012-13 · 0.40 PPG
→ St. Lawrence (0.55 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Nelson Armstrong
OHL · 2012-13 · 0.52 PPG
→ St. Lawrence (0.19 D1 FR PPG)
0.30 Average D
NCAAe PPG
Dakota Mermis
OHL · 2012-13 · 0.41 PPG
→ Denver (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG

D2/3 Comparables

Matthew Dougherty
Western New England · 2018-19
0.846 Strong
actual D2/3 PPG
Collin Patterson
UMass Dartmouth · 2021-22
1.125 Elite
actual D2/3 PPG
Mike Bickley
Wisconsin-Superior · 2000-01
1.231 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.