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Lucas Stanojevic Elite Prospects ↗

Position: Forward DOB: 2003-10-23 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 Aurora Tigers OJHL 46 7 6 13 0.283 0.0693 0.0722 0.1934 0.2014
2022-23 Aurora Tigers OJHL 54 33 28 61 1.130 0.2769 0.2742 0.7732 0.7657
2023-24 — OJHL 56 15 23 38 0.679 0.1663 0.1560 0.4645 0.4358
■ 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 Nazareth D3 UCHC SO 26 6 6 12 0.462
2024-25 Nazareth D3 UCHC — 19 2 3 5 0.263
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.26
2024-25 · Nazareth
+51.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
12%
NCAA D2/D3
55%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#25172
Forward overall
#1400
Forward born in 2003
#1184
in OJHL

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Ryan Webb
Suffolk · 2021-22
0.609 Average
actual D2/3 PPG
Zach Blake
SUNY Plattsburgh · 2010-11
0.500 Average
actual D2/3 PPG
Dan Cecka
Wisconsin-Stout · 2009-10
0.556 Average
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.