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Bryan Yoon Elite Prospects ↗

Position: Defense DOB: 1998-01-27 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 Wenatchee Wild BCHL 55 4 27 31 0.564 0.2172 0.2307 0.8202 0.8712
2016-17 Tri-City Storm USHL 60 2 16 18 0.300 0.1770 0.1754 0.9010 0.8929
2017-18 Tri-City Storm USHL 60 3 32 35 0.583 0.3441 0.3239 1.7519 1.6492
■ 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
2022-23 Colorado College D1 NCHC — 38 1 14 15 0.395
2021-22 Colorado College D1 NCHC — 36 1 11 12 0.333
2020-21 Colorado College D1 NCHC — 19 1 1 2 0.105
2019-20 Colorado College D1 NCHC — 33 1 16 17 0.515
2018-19 Colorado College D1 NCHC — 41 3 23 26 0.634
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.63
2018-19 · Colorado College
+153.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

62%
NCAA D1
0%
NCAA D2/D3
10%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#3949
Defenseman overall
#913
Defenseman born in 1998

D1 Comparables

Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Rusty Masters
Elmira · 2005-06
0.962 Strong
actual D2/3 PPG
Jordan Reed
Curry · 2009-10
0.885 Strong
actual D2/3 PPG
Eric Selleck
SUNY Oswego · 2007-08
1.000 Elite
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.