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Peter Freel Elite Prospects ↗

Position: Forward DOB: 2005-12-15 Country: Canada
SUNY Cortland
SUNYAC D3

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
2022-23 Rockland Nationals CCHL 39 2 6 8 0.205 0.0445 0.0492 0.1587 0.1755
2023-24 Nepean Raiders CCHL 43 10 14 24 0.558 0.1211 0.1275 0.4318 0.4545
2024-25 Nepean Raiders CCHL 53 20 24 44 0.830 0.1801 0.1814 0.6423 0.6471
2025-26 Danbury Jr. Hat Tricks NAHL 54 12 17 29 0.537 0.1973 0.1925 0.5668 0.5529
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
18%
NCAA D2/D3
45%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#25015
Forward overall
#1420
Forward born in 2005

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

SUNY Cortland Alumni similar profiles who attended this school

Nathan Garnier
0.70
actual FR PPG at SUNY Cortland
Stefano Alonzi
0.68
actual FR PPG at SUNY Cortland
Mike Faliero
0.74
actual FR PPG at SUNY Cortland
Louis DiMatteo
0.67
actual FR PPG at SUNY Cortland

D2/3 Comparables

Patrick Gazich
Gustavus Adolphus · 2016-17
0.500 Average
actual D2/3 PPG
Brandon Laidlaw
Utica · 2004-05
0.762 Strong
actual D2/3 PPG
Brendan Young
SUNY Plattsburgh · 2018-19
0.423 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.