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Justin Brown Elite Prospects ↗

Position: Forward DOB: 1994-04-03 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
2012-13 NA3HL 5 0 3 3 0.600 0.0753 0.0760 0.1894 0.1912
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
2018-19 Bethel D3 MIAC 3 0 0 0 0.000

NCAAe Rankings

D1 Comparables

USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
USHL · 2012-13 · 0.14 PPG
→ Canisius
0.08 No data
NCAAe PPG
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.13 Developing
NCAAe PPG
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG

D2/3 Comparables

SUNY Morrisville · 2007-08
0.600 Average
actual D2/3 PPG
St. John Fisher · 2022-23
0.238 Developing
actual D2/3 PPG
Bowdoin · 2021-22
0.000 No data
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.