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Cody Croal Elite Prospects ↗

Position: Forward DOB: 2003-06-17 Country: USA

Set Commitment

School

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Detected conference: () — projections will update automatically.

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Projecting as:

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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	North Branch	USHS-MN	25	25	30	55	2.200	0.5922	0.5922	0.5344	0.5344
2021-22	Muskegon Lumberjacks	USHL	6	2	0	2	0.333	0.2049	0.2066	0.9820	0.9903
2022-23	Muskegon Lumberjacks	USHL	62	18	31	49	0.790	0.4858	0.4646	2.3284	2.2270
2023-24	Muskegon Lumberjacks	USHL	58	23	37	60	1.034	0.6359	0.5766	3.0478	2.7638

■ 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	North Dakota	D1	NCHC	SO	35	10	4	14	0.400
2024-25	North Dakota	D1	NCHC	—	22	1	5	6	0.273

Pre-College Projection vs. Actual Freshman Year

Projected PPG

0.50

before college

→

Actual FR PPG

0.27

2024-25 · North Dakota

-44.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

85%

NCAA D1

NCAA D2/D3

15%

Age-Out / Club

Pro / Other

NCAAe Rankings

#4138

Forward overall

#110

Forward born in 2003

D1 Comparables

Michael Huntebrinker

USHL · 2012-13 · 0.91 PPG

→ Minnesota (0.15 D1 FR PPG)

0.51 Developing

NCAAe PPG

Brandon Wahlin

NAHL · 2012-13 · 1.33 PPG

→ UMass (0.13 D1 FR PPG)

0.50 Developing

NCAAe PPG

Eric Scheid

USHL · 2012-13 · 0.94 PPG

→ Alaska Anchorage (0.50 D1 FR PPG)

0.52 Average

NCAAe PPG

Shane Sooth

USHL · 2012-13 · 0.95 PPG

→ Northern Michigan (0.45 D1 FR PPG)

0.52 Average

NCAAe PPG

Tim Bonner

USHL · 2012-13 · 0.89 PPG

→ Yale

0.50 No data

NCAAe PPG

D2/3 Comparables

Joona Juntunen

Saint Mary's (MN) · 2023-24

0.826 Strong

actual D2/3 PPG

Conor Landrigan

Utica · 2016-17

1.038 Elite

actual D2/3 PPG

Ryan Ellis

SUNY Oswego · 2004-05

1.704 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.