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Brody Green Elite Prospects ↗

Position: Forward DOB: 2007-11-14 Country: Canada
Northern Michigan
CCHA D1

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
2023-24 Winnipeg Blues MJHL 54 13 22 35 0.648 0.1248 0.1441 0.4095 0.4727
2024-25 Steinbach Pistons MJHL 57 19 17 36 0.632 0.1216 0.1337 0.3991 0.4388
2025-26 Steinbach Pistons MJHL 30 11 19 30 1.000 0.1925 0.2024 0.6319 0.6645
2026-27 Dauphin Kings MJHL 6 4 3 7 1.167 0.2246 0.2246 0.7372 0.7372
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
5%
NCAA D2/D3
22%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#38710
Forward overall
#1605
Forward born in 2007
#793
in MJHL

D1 Comparables

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
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Austin Vieth
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.18 Developing
NCAAe PPG

Northern Michigan Alumni similar profiles who attended this school

Ryan Duguay
SJHL 2022-23
0.33
actual FR PPG at Northern Michigan
Vincent De Mey
USHL 2016-17
0.21
actual FR PPG at Northern Michigan
Andre Ghantous
BCHL 2017-18
0.61
actual FR PPG at Northern Michigan
Jakub Lewandowski
USHL-Style-Czech 2020-21
0.18
actual FR PPG at Northern Michigan

D2/3 Comparables

Aaron Sawicki
Rivier · 2023-24
0.952 Strong
actual D2/3 PPG
Mike Kneeland
Lake Forest · 2002-03
1.429 Elite
actual D2/3 PPG
Zach Tarantino
UMass Dartmouth · 2018-19
0.667 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.