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Matthew Brille Elite Prospects ↗

Position: Forward DOB: 2003-01-02 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
2021-22 Chippewa Steel NAHL 51 10 14 24 0.471 0.1729 0.1775 0.4967 0.5099
2022-23 Chippewa Steel NAHL 44 15 21 36 0.818 0.3006 0.2938 0.8636 0.8441
■ 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 Brown D1 ECAC SR 7 0 0 0 0.000
2024-25 Brown D1 ECAC JR 4 0 0 0 0.000
2023-24 Brown D1 ECAC SO 11 0 1 1 0.091
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.09
2023-24 · Brown
-57.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
8%
NCAA D2/D3
28%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#18905
Forward overall
#966
Forward born in 2003
#1174
in NAHL

D1 Comparables

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
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Nick Felan
Lawrence · 2014-15
0.909 Strong
actual D2/3 PPG
Sy Nutkevitch
SUNY Potsdam · 2007-08
0.880 Strong
actual D2/3 PPG
Austin Rook
Skidmore · 2016-17
0.760 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.