Rihards Marenis Elite Prospects ↗

Position: Forward DOB: 1993-04-18 Country: Latvia

Set Commitment

School

Type

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Detected conference: () — projections will update automatically.

Notes (optional)

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
2012-13	Amarillo Bulls	NAHL	10	1	0	1	0.100	0.0367	0.0361	0.1056	0.1039
2013-14	Mason City Toros	NA3HL	44	55	58	113	2.568	0.3223	0.2974	0.8108	0.7483
2018-19	Dinamo Riga	KHL	33	4	1	5	0.151	0.3787	0.4132	2.0875	2.2777
2019-20	Dinamo Riga	KHL	36	1	3	4	0.111	0.2777	0.2777	1.5308	1.5308
2021-22	HC Vita Hästen	Allsvenskan	33	21	15	36	1.091	2.7272	2.2859	10.2347	8.5784
2022-23	Örebro HK	SHL	19	1	0	1	0.053	0.1315	0.1153	0.6864	0.6021
2023-24	Nybro Vikings IF	Allsvenskan	45	13	20	33	0.733	1.8332	1.3840	6.8797	5.1941
2024-25	Eispiraten Crimmitschau	DEL2	21	9	8	17	0.809	1.0844	0.8392	1.4526	1.1241

■ 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	Aurora	D3	NCHA	SR	18	5	12	17	0.944
2016-17	Aurora	D3	NCHA	JR	17	8	4	12	0.706
2015-16	Aurora	D3	NCHA	SO	21	4	10	14	0.667
2014-15	Aurora	D3	NCHA	FR	17	7	10	17	1.000

Pre-College Projection vs. Actual Freshman Year

Projected PPG

0.17

before college

→

Actual FR PPG

1.00

2014-15 · Aurora

+505.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

⭐ Elite profile — high probability of D1 placement; comparable to top-end prospects

20%

NCAA D1

NCAA D2/D3

80%

Pro / Other

NCAAe Rankings

#2495

Forward overall

#136

Forward born in 1993

D2/3 Comparables

Shaquille Merasty

Adrian · 2016-17

1.357 Elite

actual D2/3 PPG

Ben Blasko

Nazareth · 2017-18

1.000 Elite

actual D2/3 PPG

Logan Day

Endicott · 2024-25

1.333 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.