Arnas — CS2 Stats

LT76561198293916924[U:1:333651196]Steam profile ↗✓ No bans

2,681Tracked matches43%Win rate2020Tracked since

CSDB Rating3.6 Learning

Premier CS Rating10,635Blue band · top ~51.5% of ranked players (population est.)

CSDB Leaderboard#17881 of 24685 tracked

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim49

Positioning39

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateWWLLWLLLWL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim4.9

Aggression4.6

Utility2.9

Positioning3.9

Opening Duels0.8

Clutch2.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 77% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.9

Positioning3.9

Utility2.9

Mechanics4.9

Opening Duels0.9

Win Impact2.8

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time607ms+3ms

first ⅓ avg 604ms → last ⅓ avg 607ms

Headshot accuracy17.7%+3.1%

first ⅓ avg 14.6% → last ⅓ avg 17.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.08Best rating — eldorado 9–2

13–2Biggest win — anubis

5Longest win streak

W2Current streak

7–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 29% over 21

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	23	13–10	57%	-0.01
inferno	D	21	6–15	29%	-0.04
ancient	B	20	10–10	50%	-0.02
mirage	A	16	9–7	56%	-0.01
dust2	A	8	5–3	63%	-0.00
nuke	S	6	4–2	67%	0.01
cache	—	2	0–2	0%	-0.06
overpass	—	2	0–2	0%	0.03
eldorado	—	1	1–0	100%	0.08
poseidon	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

208Matches

52%Win rate

0.92Avg K/D

73.5ADR

40%Headshot %

Clutches & streaks

31%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	46	65%	0.93	13.4
Anubis	45	47%	0.89	14.2
Mirage	38	53%	0.93	13.9
Ancient	32	66%	1.01	14.1
Dust2	19	32%	0.90	13.8
Vertigo	9	33%	0.79	14.9
Nuke	4	50%	1.29	19.0
Train	4	50%	0.69	11.8

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.5%Headshot accuracy

31.6%Accuracy (enemy spotted)

33.1%Spray accuracy

72.0%Counter-strafing

11.7°Preaim

590msReaction time

29.1%T opening success

37.0%CT opening success

0.31Enemies flashed / flash

0.7%Flash assists

7.21HE damage / grenade

1.69Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3111 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 29.0996% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	-0.05	11%	27 Aug →
dust2	13–10	0.02	24%	25 Aug →
inferno	1–9	-0.04	15%	25 Aug →
cache	9–13	-0.07	19%	22 Aug →
ancient	13–3	0.01	13%	22 Aug →
inferno	11–13	-0.03	13%	22 Aug →
anubis	7–13	-0.04	10%	17 Aug →
mirage	9–13	0.01	16%	15 Aug →
anubis	13–6	0.00	9%	15 Aug →
anubis	14–16	0.00	20%	10 Aug →
dust2	13–7	0.00	29%	10 Aug →
ancient	13–4	-0.04	16%	7 Aug →
anubis	13–9	0.01	11%	7 Aug →
eldorado	9–2	0.08	13%	7 Aug →
inferno	2–13	-0.05	29%	3 Aug →
anubis	13–8	-0.06	19%	3 Aug →
inferno	2–13	-0.03	25%	29 Jul →
ancient	11–13	-0.00	24%	29 Jul →
inferno	2–13	-0.08	44%	28 Jul →
cache	3–13	-0.05	26%	28 Jul →
ancient	13–7	-0.03	25%	28 Jul →
nuke	10–13	-0.02	6%	22 Jul →
anubis	13–6	0.06	11%	22 Jul →
ancient	13–3	-0.02	20%	13 Jul →
ancient	13–16	-0.02	15%	12 Jul →
mirage	8–13	-0.02	13%	12 Jul →
poseidon	6–9	-0.04	15%	12 Jul →
ancient	14–16	0.02	17%	10 Jul →
anubis	7–13	-0.00	16%	10 Jul →
nuke	13–9	0.02	18%	9 Jul →
anubis	13–11	-0.05	10%	9 Jul →
anubis	11–13	0.01	15%	9 Jul →
mirage	7–13	-0.02	19%	7 Jul →
ancient	13–11	-0.02	18%	7 Jul →
inferno	13–7	0.02	14%	6 Jul →
mirage	10–13	-0.03	9%	6 Jul →
dust2	4–13	-0.05	19%	6 Jul →
dust2	3–13	-0.03	19%	6 Jul →
nuke	7–13	0.02	22%	5 Jul →
anubis	2–13	-0.08	14%	5 Jul →
anubis	13–4	0.04	21%	5 Jul →
anubis	13–3	0.07	18%	5 Jul →
ancient	15–15	-0.01	17%	4 Jul →
mirage	13–11	-0.01	12%	4 Jul →
dust2	13–8	0.08	18%	4 Jul →
ancient	4–13	-0.04	14%	2 Jul →
ancient	13–3	0.07	14%	2 Jul →
mirage	13–9	-0.00	13%	2 Jul →
ancient	13–11	-0.02	7%	29 Jun →
inferno	13–3	-0.01	13%	29 Jun →
anubis	13–10	-0.04	13%	29 Jun →
inferno	10–13	-0.00	13%	28 Jun →
mirage	13–9	-0.01	23%	28 Jun →
mirage	10–13	-0.01	20%	28 Jun →
anubis	10–13	-0.00	23%	28 Jun →
anubis	13–10	0.04	18%	28 Jun →
ancient	13–11	-0.05	15%	28 Jun →
mirage	13–8	-0.03	9%	27 Jun →
inferno	1–13	-0.08	2%	25 Jun →
mirage	16–12	-0.02	11%	25 Jun →
ancient	13–11	0.01	15%	25 Jun →
mirage	13–7	0.04	17%	25 Jun →
anubis	13–10	0.01	8%	25 Jun →
ancient	13–16	-0.03	12%	24 Jun →
ancient	10–13	-0.04	16%	11 Jun →
inferno	13–3	-0.03	18%	11 Jun →
anubis	2–13	-0.10	21%	11 Jun →
dust2	13–8	0.01	17%	11 Jun →
mirage	13–10	0.03	10%	11 Jun →
dust2	13–7	-0.04	27%	11 Jun →
inferno	10–13	-0.03	15%	10 Jun →
inferno	14–16	-0.06	13%	10 Jun →
ancient	11–13	-0.05	14%	8 Jun →
mirage	13–11	-0.01	17%	6 Jun →
ancient	13–4	-0.00	18%	6 Jun →
overpass	6–13	-0.02	11%	6 Jun →
anubis	13–2	0.02	20%	4 Jun →
ancient	8–13	-0.07	13%	4 Jun →
mirage	13–10	-0.04	21%	2 Jun →
anubis	11–13	-0.09	5%	2 Jun →
nuke	13–5	0.03	15%	1 Jun →
anubis	13–7	-0.06	19%	1 Jun →
mirage	6–13	-0.05	12%	28 May →
anubis	2–13	-0.03	9%	28 May →
nuke	13–7	0.01	13%	27 May →
mirage	8–13	-0.07	21%	27 May →
inferno	13–16	-0.03	16%	26 May →
inferno	6–13	-0.07	9%	26 May →
anubis	9–13	-0.01	6%	25 May →
inferno	10–13	-0.03	16%	20 May →
nuke	13–9	-0.02	15%	20 May →
inferno	7–13	-0.04	5%	19 May →
dust2	10–13	-0.03	10%	19 May →
inferno	11–13	-0.03	26%	18 May →
ancient	11–13	-0.04	8%	18 May →
inferno	13–6	-0.07	12%	18 May →
overpass	8–13	0.08	20%	15 May →
inferno	10–13	0.02	17%	15 May →
inferno	13–6	-0.05	17%	14 May →
anubis	13–10	0.03	16%	14 May →