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Bailey Ewonus Elite Prospects ↗

Position: Forward DOB: 2004-05-04 Country: Canada
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
2022-23 — AJHL 47 3 7 10 0.213 0.0714 0.0730 0.1969 0.2012
2023-24 — SJHL 9 1 2 3 0.333 0.0854 0.0844 0.2512 0.2483
■ 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 Cleary University ACHA_D1 — — 31 20 20 40 1.290
2024-25 Cleary University ACHA_D1 — — 31 20 20 40 1.290
2023-24 Cleary University ACHA_D1 — — 31 20 20 40 1.290
2022-23 Cleary University ACHA_D1 — — 31 20 20 40 1.290
2021-22 Cleary University ACHA_D1 — — 31 20 20 40 1.290
2020-21 Cleary University ACHA_D1 — — 31 20 20 40 1.290

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
10%
NCAA D2/D3
28%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#38948
Forward overall
#2480
Forward born in 2004

D1 Comparables

William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

Matteo Viglino
New England College · 2023-24
0.520 Average
actual D2/3 PPG
Jake DiNapoli
Assumption · 2021-22
0.000 No data
actual D2/3 PPG
Bradley Pung
St. Norbert · 2013-14
0.567 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.