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Adam Petric Elite Prospects ↗

Position: Forward DOB: 1997-03-25 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
2016-17 Aurora Tigers OJHL 41 4 7 11 0.268 0.0658 0.0629 0.1847 0.1764
2017-18 — OJHL 30 10 7 17 0.567 0.1389 0.1260 0.3902 0.3540
■ 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
2019-20 Canton D1 SUNYAC SO 14 1 2 3 0.214
2019-20 Canton D3 SUNYAC SO 14 1 2 3 0.214
2018-19 Canton D1 SUNYAC FR 25 8 3 11 0.440
2018-19 Canton D3 SUNYAC FR 25 8 3 11 0.440
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.44
2018-19 · Canton
+409.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
12%
NCAA D2/D3
60%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#40065
Forward overall
#1945
Forward born in 1997
#2563
in OJHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Henning Dahlberg
Castleton · 2015-16
0.364 Average
actual D2/3 PPG
Henry Hearon
SUNY Morrisville · 2015-16
0.500 Average
actual D2/3 PPG
Evan Pahos
St. Scholastica · 2023-24
0.696 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.