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Max Itagaki Elite Prospects ↗

Position: Forward DOB: 2002-06-18 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
2018-19 Lincoln Stars USHL 2 0 0 0 0.000 — — — —
2019-20 Janesville Jets NAHL 34 4 8 12 0.353 0.1398 0.1398 0.3705 0.3705
2020-21 Janesville Jets NAHL 39 11 20 31 0.795 0.3149 0.3149 0.8346 0.8346
2021-22 Nanaimo Clippers BCHL 54 27 34 61 1.130 0.4208 0.4115 1.6459 1.6095
■ 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 Ferris State D1 CCHA SR 28 6 12 18 0.643
2024-25 Ferris State D1 CCHA — 26 2 7 9 0.346
2023-24 Army D1 AHA — 34 6 19 25 0.735
2022-23 Army D1 AHA — 37 4 29 33 0.892
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.89
2022-23 · Army
+153.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
2%
NCAA D2/D3
15%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#13621
Forward overall
#680
Forward born in 2002

D1 Comparables

Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
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

D2/3 Comparables

Beau Moyer
Wisconsin-Superior · 2000-01
0.708 Strong
actual D2/3 PPG
Jon Whitelaw
SUNY Oswego · 2007-08
1.357 Elite
actual D2/3 PPG
Scott Hudson
Manhattanville · 2007-08
1.231 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.