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Ikki Kogawa Elite Prospects ↗

Position: Forward DOB: 2003-02-15 Country: Japan
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
2019-20 Oakville Blades OJHL 2 0 0 0 0.000
2020-21 Collingwood Blues OJHL 0 0 0 0 0.000
2021-22 Boston Jr. Bruins NCDC 47 19 32 51 1.085 0.3058 0.3147 0.8785 0.9040
2022-23 Collingwood Blues OJHL 51 21 27 48 0.941 0.2630 0.2514 0.6495 0.6209
2023-24 Janesville Jets NAHL 48 12 15 27 0.562 0.2089 0.1954 0.5956 0.5572
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 Wisconsin-Superior D3 WIAC SO 19 2 3 5 0.263
2024-25 Wisconsin-Superior D3 WIAC FR 18 5 14 19 1.056
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
Actual FR PPG
1.06
2024-25 · Wisconsin-Superior
+466.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D1
38%
NCAA D2/D3
55%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#14769
Forward overall
#558
Forward born in 2003

D1 Comparables

USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
NAHL · 2012-13 · 0.65 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Saint Mary's · 2022-23
0.364 Average
actual D2/3 PPG
Wilkes · 2017-18
1.208 Elite
actual D2/3 PPG
St. Scholastica · 2007-08
0.500 Average
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.