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Luca Blonda Elite Prospects ↗

Position: Defense DOB: 2008-11-25 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
2024-25 Sudbury Wolves OHL 65 5 10 15 0.231 0.1335 0.1505 0.5930 0.6683
2025-26 Sudbury Wolves OHL 60 2 21 23 0.383 0.2217 0.2387 0.9849 1.0604
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
2%
NCAA D2/D3
12%
Age-Out / Club
62%
Pro / Other

NCAAe Rankings

#7727
Defenseman overall
#482
Defenseman born in 2008
#1052
in OHL

D1 Comparables

R.J. Gicewicz
USHL · 2012-13 · 0.33 PPG
→ St. Lawrence (0.22 D1 FR PPG)
0.21 Average D
NCAAe PPG
Tyler Morrison
WHL · 2012-13 · 0.33 PPG
→ Northland
0.17 No data
NCAAe PPG
Mark Friedman
USHL · 2012-13 · 0.55 PPG
→ Bowling Green (0.49 D1 FR PPG)
0.35 Strong D
NCAAe PPG
Keaton Thompson
NTDP-U18 · 2012-13 · 0.33 PPG
→ North Dakota (0.31 D1 FR PPG)
0.24 Strong D
NCAAe PPG
Josh Jacobs
USHL · 2012-13 · 0.31 PPG
→ Michigan State (0.26 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Chad Merrell
University of New England · 2015-16
0.611 Average
actual D2/3 PPG
Michael Aiello
UMass Dartmouth · 2005-06
1.000 Elite
actual D2/3 PPG
Simon Boyko
Aurora · 2016-17
1.037 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.