Brian O'Neill Elite Prospects ↗

Position: Forward DOB: 1988-06-01 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
2007-08	Chicago Steel	USHL	60	23	38	61	1.017	0.5998	0.5762	3.0508	2.9310
2016-17	Jokerit	KHL	55	16	20	36	0.654	1.6362	1.5285	9.0164	8.4231
2017-18	Jokerit	KHL	44	14	16	30	0.682	1.7045	1.5195	9.3925	8.3730
2018-19	Jokerit	KHL	62	13	45	58	0.935	2.3388	1.9813	12.8874	10.9175
2019-20	Jokerit	KHL	56	19	29	48	0.857	2.1427	2.1427	11.8074	11.8074
2020-21	Jokerit	KHL	53	12	42	54	1.019	2.5473	2.5473	14.0364	14.0364
2021-22	Jokerit	KHL	41	9	33	42	1.024	2.5610	1.7490	14.1121	9.6378
2024-25	Luleå HF	SHL	51	13	25	38	0.745	1.8627	0.9503	9.7164	4.9568
2025-26	Luleå HF	SHL	50	11	25	36	0.720	1.8000	1.8000	9.3891	9.3891

■ 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
2011-12	Yale	D1	ECAC	SR	35	21	25	46	1.314
2010-11	Yale	D1	ECAC	JR	36	20	26	46	1.278
2009-10	Yale	D1	ECAC	SO	34	16	29	45	1.323
2008-09	Yale	D1	ECAC	FR	33	12	14	26	0.788

Pre-College Projection vs. Actual Freshman Year

Projected PPG

0.54

before college

→

Actual FR PPG

0.79

2008-09 · Yale

+46.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

🏒 NHL / Pro Track — production profile is consistent with players who bypassed or minimized college hockey

NCAA D1

NCAA D2/D3

100%

NHL / Pro

NCAAe Rankings

#105

Forward overall

Forward born in 1988

D2/3 Comparables

Arkhip Ledenkov

St. Scholastica · 2018-19

1.636 Elite

actual D2/3 PPG

Neil Trimm

Neumann · 2003-04

1.800 Elite

actual D2/3 PPG

Filimon Ledenkov

St. Scholastica · 2018-19

1.636 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.