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Anthony Yu Elite Prospects ↗

Position: Forward DOB: 2004-07-10 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
2021-22 St. Cloud Norsemen NAHL 1 0 1 1 1.000 0.3962 0.4368 1.0499 1.1574
2022-23 Powell River Kings BCHL 54 17 22 39 0.722 0.2690 0.2776 1.0523 1.0859
2023-24 Powell River Kings BCHL 53 18 37 55 1.038 0.3865 0.3811 1.5120 1.4910
■ 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 Air Force D1 AHA SO 34 3 4 7 0.206
2024-25 Air Force D1 AHA — 29 3 4 7 0.241
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.24
2024-25 · Air Force
-17.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
30%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#12513
Forward overall
#564
Forward born in 2004

D1 Comparables

Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG
Thomas Forgione
USHL · 2012-13 · 0.70 PPG
→ Vermont (0.21 D1 FR PPG)
0.42 Developing
NCAAe PPG
Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.46 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Logan Nelson
WHL · 2012-13 · 0.88 PPG
→ Wisconsin-Stout (0.59 D1 FR PPG)
0.41 Strong
NCAAe PPG

D2/3 Comparables

Lucas Michaud
Trinity · 2016-17
0.893 Strong
actual D2/3 PPG
Johnny Panvica
St. Thomas · 2014-15
0.955 Strong
actual D2/3 PPG
Tanner Congdon
Bryn Athyn · 2016-17
0.857 Strong
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.