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Julian Frias Elite Prospects ↗

Position: Forward DOB: 2004-11-09 Country: USA
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
2019-20 St. Georges NE-Prep 22 0 1 1 0.045 0.0092 0.0092 0.0208 0.0208
2021-22 St. Georges NE-Prep 25 10 15 25 1.000 0.2011 0.2011 0.4573 0.4573
2022-23 Cranbrook Bucks BCHL 54 5 12 17 0.315 0.1213 0.1272 0.4578 0.4801
2023-24 Cranbrook Bucks BCHL 51 12 11 23 0.451 0.1738 0.1743 0.6559 0.6577
■ 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
2026-27 Yale D1 ECAC JR 0 0 0 0 0.000
2025-26 Yale D1 ECAC SO 17 1 0 1 0.059
2024-25 Yale D1 ECAC — 30 2 4 6 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.20
2024-25 · Yale
+50.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
5%
NCAA D2/D3
42%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#32233
Forward overall
#1925
Forward born in 2004

D1 Comparables

Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG

D2/3 Comparables

Matthew Lee
SUNY Brockport · 2024-25
0.731 Strong
actual D2/3 PPG
Riley Murphy
Adrian · 2018-19
0.931 Strong
actual D2/3 PPG
Jory Mullin
Neumann · 2011-12
0.609 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.