1 1 JIN

hoggy

Ricardo Lopez

Canada

N/A T rating

OKAY 1.11 RATING 2.0

N/A CT rating

- ROUND SWING N/A 0.71 DPR OKAY

- MULTI-KILL N/A 76.5 ADR OKAY

70.3% KAST OKAY

0.72 KPR GOOD

Statistics

Total kills 566

Rounds played 781

Headshot % 49.3%

Kills / round 0.72

Total deaths 555

Assists / round 0.15

K/D Ratio 1.02

Deaths / round 0.71

Damage / Round 76.5

Saved by teammate / round —

Grenade dmg / Round —

Saved teammates / round —

Maps played 28

Impact rating 1.11

Transfers

Player	Type	To	Role	Date
hoggy	→	1 JIN	Starter	2023-03-24

Match history for hoggy

Date	Player team	Opponent	Map	K-D	+/-	Rating 3.0
27/03/23	1 JIN	SD	Vertigo	23 - 16	+7	1.32
27/03/23	1 JIN	SD	Inferno	29 - 29	0	1.14
26/03/23	1 JIN	TSN	Inferno	13 - 20	-7	0.83
26/03/23	1 JIN	TSN	Vertigo	16 - 13	+3	1.14
25/03/23	1 JIN	TF	Vertigo	17 - 20	-3	0.80

Event history for hoggy

#	Event	Team	Maps	KPR - DPR	+/-	Rating 3.0
3rd	ESL Challenger League North America Relegation season 44 2023	1 JIN	5	0.70 - 0.69	0	1.05

Teammates

FAQ

What is hoggy's CS2 rating and statistics?

hoggy has a 1.11 rating across 11 matches, 28 maps. In the same sample, their K/D ratio is 1.02, ADR is 76.5, KAST is 70.3%, and headshot rate is 49.3%. Together, those numbers summarize fragging efficiency, damage output, round impact, and aim profile without adding unsupported big-event splits.

What are hoggy's K/D and ADR numbers?

hoggy has a 1.02 K/D ratio and 76.5 ADR across 11 matches, 28 maps. Their rating in the same sample is 1.11. K/D shows kill efficiency, while ADR shows average damage output, so reading both together gives a cleaner view than either stat alone.

How large is the stats sample for hoggy?

hoggy's available sample covers 11 matches, 28 maps. That sample is the context for the rating, K/D, ADR, KAST, and map figures shown in this FAQ. Treat those values as the current measured scope rather than a complete career total across every competition.

What is hoggy's best map in CS2?

hoggy's best map in the available sample is Vertigo, with a 1.09 rating across 3 maps. Because the sample is map-specific, it works best as a focused performance indicator rather than a complete map-pool verdict. The broader rating and ADR numbers still matter for judging consistency.