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Bryan Yim Elite Prospects ↗

Position: Forward DOB: 1994-03-22 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 Indiana Ice USHL 16 1 4 5 0.312 0.1843 0.1828 0.9386 0.9309
2013-14 Port Huron Fighting Falcons NAHL 56 20 30 50 0.893 0.3281 0.3217 0.9425 0.9240
2014-15 Jersey Hitmen USPHL-Premier-Classic 41 14 33 47 1.146 0.3218 0.3050 0.9425 0.8933
■ 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 Adrian D1 NCHA SR 29 15 8 23 0.793
2018-19 Adrian D3 NCHA SR 29 15 8 23 0.793
2017-18 Adrian D3 NCHA JR 29 8 11 19 0.655
2016-17 Adrian D3 NCHA SO 28 14 15 29 1.036
2015-16 Adrian D3 NCHA FR 29 13 20 33 1.138
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
1.14
2015-16 · Adrian
+326.5% vs. projection

NCAAe Rankings

#15713
Forward overall
#642
Forward born in 1994

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Otis Goldman
Castleton · 2015-16
0.579 Average
actual D2/3 PPG
Harrison Niemann
Wisconsin-Stevens Point · 2007-08
0.750 Strong
actual D2/3 PPG
Peter Henderson
Marian · 2015-16
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.