Mathew Bodie Elite Prospects ↗

Position: Defense DOB: 1990-03-07 Country: Canada

Set Commitment

School

Type

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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
2006-07	Selkirk Steelers	MJHL	3	0	1	1	0.333	0.0906	0.1016	0.2100	0.2355
2008-09	Powell River Kings	BCHL	53	1	41	42	0.792	0.2952	0.3004	1.1548	1.1750
2009-10	Powell River Kings	BCHL	51	8	34	42	0.824	0.3068	0.2954	1.1999	1.1555
2018-19	Torpedo Nizhny Novgorod	KHL	39	3	13	16	0.410	1.0257	0.9594	—	—
2019-20	—	SHL	44	2	11	13	0.295	0.7388	0.7388	—	—
2020-21	ERC Ingolstadt	DEL	30	3	19	22	0.733	0.8019	0.8019	—	—
2021-22	ERC Ingolstadt	DEL	39	3	16	19	0.487	0.5328	0.4395	—	—
2022-23	ERC Ingolstadt	DEL	49	4	21	25	0.510	0.5580	0.4439	—	—
2023-24	ERC Ingolstadt	DEL	50	4	26	30	0.600	0.6562	0.4883	—	—
2024-25	ERC Ingolstadt	DEL	40	2	18	20	0.500	0.5468	0.3818	—	—

■ 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
2013-14	Union	D1	ECAC	—	40	8	31	39	0.975
2012-13	Union	D1	ECAC	—	35	6	18	24	0.686
2011-12	Union	D1	ECAC	—	39	8	21	29	0.744
2010-11	Union	D1	ECAC	—	40	6	26	32	0.800

Pre-College Projection vs. Actual Freshman Year

Projected PPG

0.28

before college

→

Actual FR PPG

0.80

2010-11 · Union

+185.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

NCAA D1

NCAA D2/D3

95%

Pro / Other

NCAAe Rankings

#868

Defenseman overall

#192

Defenseman born in 1990

D2/3 Comparables

Payden Benning

Curry · 2007-08

1.074 Elite

actual D2/3 PPG

Douglas Elgstam

SUNY Cortland · 2015-16

0.760 Strong

actual D2/3 PPG

Tyler Ramm

SUNY Plattsburgh · 2022-23

0.588 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.