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Peter Lopes Elite Prospects ↗

Position: Defense DOB: 2003-02-01 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
2021-22 Aurora Tigers OJHL 45 1 11 12 0.267 0.0654 0.0657 0.1826 0.1836
2022-23 Aurora Tigers OJHL 38 7 15 22 0.579 0.1419 0.1354 0.3963 0.3781
2023-24 — OJHL 57 2 23 25 0.439 0.1075 0.0970 0.3002 0.2708
■ 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 Alvernia D3 MAC SO 18 0 2 2 0.111
2024-25 Alvernia D3 MAC — 22 1 2 3 0.136
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.14
2024-25 · Alvernia
+28.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
18%
NCAA D2/D3
52%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#12464
Defenseman overall
#2483
Defenseman born in 2003
#2558
in OJHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 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
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 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

D2/3 Comparables

Andrew MacKenzie
Wisconsin-Superior · 2004-05
0.300 Developing
actual D2/3 PPG
Galloway Carroll
Manhattanville · 2001-02
0.375 Average
actual D2/3 PPG
Andrew McCann
SUNY Cortland · 2017-18
0.680 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.