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Joseph Yoon Elite Prospects ↗

Position: Forward DOB: 2005-06-26 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
2020-21 Albert Lea USHS-MN 19 9 16 25 1.316 0.1666 0.1666 0.3196 0.3196
2021-22 Albert Lea USHS-MN 27 30 27 57 2.111 0.2673 0.2673 0.5128 0.5128
2022-23 Albert Lea USHS-MN 27 27 30 57 2.111 0.2673 0.2673 0.5128 0.5128
2023-24 Kenai River Brown Bears NAHL 48 4 8 12 0.250 0.0919 0.0968 0.2639 0.2780
2024-25 Kenai River Brown Bears NAHL 55 9 11 20 0.364 0.1336 0.1338 0.3838 0.3842
■ 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
2025-26 Bethel D3 MIAC FR 14 2 2 4 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.29
2025-26 · Bethel
+180.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
22%
NCAA D2/D3
22%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#24353
Forward overall
#1376
Forward born in 2005

D1 Comparables

Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Marc Happy
Plymouth State · 2015-16
0.375 Average
actual D2/3 PPG
Étienne Tremblay-Mathieu
Plymouth State · 2023-24
1.037 Elite
actual D2/3 PPG
Joey Meehan
Plymouth State · 2014-15
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.