Mitch Eliot Elite Prospects ↗

Position: Defense DOB: 1998-02-06 Country: USA

Set Commitment

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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
2014-15	Muskegon Lumberjacks	USHL	58	0	4	4	0.069	0.0407	0.0444	0.2072	0.2258
2015-16	Muskegon Lumberjacks	USHL	55	5	8	13	0.236	0.1395	0.1456	0.7100	0.7408
2017-18	Sarnia Sting	OHL	16	2	1	3	0.188	0.1085	0.1012	0.4818	0.4493
2018-19	Sarnia Sting	OHL	66	17	38	55	0.833	0.4821	0.4268	2.1412	1.8956
2023-24	Iserlohn Roosters	DEL	37	1	5	6	0.162	0.4055	0.4623	1.3752	1.5680

■ 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
2017-18	Michigan State	D1	BigTen	SO	26	2	3	5	0.192
2016-17	Michigan State	D1	BigTen	FR	35	0	3	3	0.086

Pre-College Projection vs. Actual Freshman Year

Projected PPG

0.10

before college

→

Actual FR PPG

0.09

2016-17 · Michigan State

-13.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

NCAA D1

NCAA D2/D3

95%

Pro / Other

NCAAe Rankings

D2/3 Comparables

Ryan Bloom

University of New England · 2016-17

1.654 Elite

actual D2/3 PPG

Shaquille Merasty

Adrian · 2015-16

1.357 Elite

actual D2/3 PPG

Peter Magagna

SUNY Oswego · 2004-05

0.926 Strong

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.