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Brandon Young Elite Prospects ↗

Position: Defense DOB: 1996-12-31 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
2015-16 Dauphin Kings MJHL 60 5 9 14 0.233 0.0449 0.0454 0.1470 0.1486
2016-17 — NAHL 48 2 9 11 0.229 0.0814 0.0788 0.2418 0.2341
■ 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
2020-21 Utica D1 UCHC SR 9 1 2 3 0.333
2020-21 Utica D3 UCHC SR 9 1 2 3 0.333
2019-20 Utica D1 UCHC JR 3 0 1 1 0.333
2019-20 Utica D3 UCHC JR 3 0 1 1 0.333
2018-19 Utica D1 UCHC SO 24 6 3 9 0.375
2018-19 Utica D3 UCHC SO 24 6 3 9 0.375
2017-18 Utica D3 UCHC FR 11 1 4 5 0.455
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.45
2017-18 · Utica
+635.4% vs. projection

NCAAe Rankings

#20487
Defenseman overall
#2424
Defenseman born in 1996

D1 Comparables

Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG

D2/3 Comparables

Jared Martin
Manhattanville · 2014-15
0.381 Average
actual D2/3 PPG
Hunter Hall
New England College · 2018-19
0.704 Strong
actual D2/3 PPG
Corey Popowcer
Manhattanville · 2021-22
0.235 Developing
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.