ÁR KÁSZ 🪱 — CS2 Stats

HU76561198140940920[U:1:180675192]Steam profile ↗✓ No bans

3,516Tracked matches57%Win rate2020Tracked since

2,829Hours in CS

CSDB Rating6.2 SolidSupport

Premier CS Rating25,898Top 10% of 215,558 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#14711 of 261698 tracked

FaceitLevel 10 · 2,299 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,898 +783 9 Apr – 9 Nov · 43 days played

Faceit ELO: 2,299 +0 5 Sept – 2 Nov · 6 observations

27,111Peak Premier in tracked matches

2,299Highest Faceit ELO seen on CSDB

59Days played since 2026-04-08

Faceit ELO

At peak — 2,299
0 over 30 days · steady
Next: 2,500 ELO at 2,500 — 201 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-05
Level 9 first seen 2026-09-05

Premier CS Rating

1,200 below peak (27,098)
-631 over 30 days · declining
+280 over 90 days
Next: Gold band at 30,000 — 4,102 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-05
Pink band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=31,884), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	49.6%	50.9%
Shot accuracy	7.5%	13.7%
Kill/death ratio	1.19	1.09
Match win rate	46.4%	48.4%

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Performance scores

Aim64

Positioning61

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWLLLLWWLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · −7ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.05
Avg headshot accuracy 13%
Avg reaction 497ms

Last 10

5–5 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 580ms

Last 20

10–10 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 583ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim6.4

Utility6.4

Positioning6.1

Opening Duels3.4

Clutch3.0

Strong CT-side opener

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim6.4

Positioning6.1

Utility6.4

Mechanics5.3

Opening Duels3.2

Win Impact7.2

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time576ms−23ms

first ⅓ avg 599ms → last ⅓ avg 576ms

Headshot accuracy18.7%+1.6%

first ⅓ avg 17.1% → last ⅓ avg 18.7%

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.

Personal bests

0.14Best match rating · 13–4 · mirage, 9 Aug →

80%Best headshot accuracy · 1–2 · cache, 16 Aug →

344msFastest reaction time · 1–9 · inferno, 19 Sept →

13–0Biggest win · mirage, 15 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

10–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 67% over 6anubisWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	10–16	38%	-0.02
cache	A	23	13–10	57%	0.01
ancient	A	19	11–8	58%	0.00
inferno	A	14	8–6	57%	0.00
anubis	D	6	0–6	0%	-0.04
mirage	S	6	4–2	67%	0.01
vertigo	—	3	2–1	67%	0.02
nuke	—	2	2–0	100%	0.01
overpass	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

167,539Lifetime kills

1.19K/D · Top 50% of Level 10 players

6,566Matches

46.4%Match win rate

49.6%Headshot %

7.5%Shot accuracy

19,044MVPs

2,829Hours (in match)

3,639Bombs planted

1,564Bombs defused

Most-used weapons

AK-4768,200

M4A4 / M4A1-S30,056

P2000 / USP-S12,323

AWP11,386

Desert Eagle7,399

Glock-185,282

FAMAS4,480

Galil AR4,417

MP92,832

MAC-102,534

Lifetime map wins

13,911inferno

10,604dust2

6,212vertigo

1,931nuke

1,143train

948office

541cbble

173aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,092Matches

53%Win rate

1.22Avg K/D

85.3ADR

43%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	191	50%	1.11	15.8
Ancient	187	53%	1.16	16.8
Anubis	187	54%	1.27	18.2
Inferno	140	56%	1.33	17.7
Mirage	103	42%	1.02	15.6
Vertigo	84	67%	1.41	19.4
Cache	43	53%	1.21	18.9
Nuke	24	42%	1.11	15.5

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.

17.9%Headshot accuracy

32.5%Accuracy (enemy spotted)

36.6%Spray accuracy

73.8%Counter-strafing

9.3°Preaim

582msReaction time

33.7%T opening success

51.9%CT opening success

0.58Enemies flashed / flash

7.6%Flash assists

9.44HE damage / grenade

10.32Flashes / 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.

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 33.6585% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	6–3	-0.00	18%	9 Nov →
cache	4–13	-0.00	17%	8 Nov →
anubis	0–2	-0.12	0%	6 Nov →
dust2	4–13	-0.05	21%	4 Nov →
dust2	14–16	-0.05	10%	29 Oct →
dust2	13–9	0.06	29%	28 Oct →
inferno	13–9	0.00	20%	28 Oct →
mirage	9–13	0.05	14%	28 Oct →
inferno	16–13	-0.01	17%	24 Oct →
cache	13–5	-0.04	23%	24 Oct →
ancient	14–16	-0.02	18%	13 Oct →
inferno	4–13	0.01	31%	1 Oct →
inferno	13–7	0.03	19%	1 Oct →
cache	13–11	-0.01	41%	1 Oct →
ancient	13–11	0.03	15%	1 Oct →
anubis	11–13	0.00	11%	26 Sept →
mirage	13–5	-0.01	16%	23 Sept →
inferno	1–9	-0.20	12%	19 Sept →
dust2	4–13	0.04	13%	12 Sept →
nuke	13–2	0.05	13%	12 Sept →
ancient	13–9	0.03	10%	7 Sept →
ancient	16–14	-0.01	20%	7 Sept →
ancient	13–9	-0.00	13%	6 Sept →
cache	16–12	-0.02	17%	3 Sept →
cache	6–13	-0.10	9%	31 Aug →
dust2	13–5	0.01	17%	27 Aug →
cache	13–7	-0.04	6%	19 Aug →
cache	23–25	-0.01	13%	16 Aug →
ancient	13–1	0.13	12%	16 Aug →
cache	1–2	-0.05	80%	16 Aug →
dust2	1–13	-0.09	44%	16 Aug →
mirage	13–0	0.00	0%	15 Aug →
inferno	8–13	0.04	17%	9 Aug →
mirage	13–4	0.14	27%	9 Aug →
dust2	0–6	-0.10	17%	9 Aug →
cache	13–7	0.04	16%	9 Aug →
cache	11–13	-0.01	10%	7 Aug →
ancient	13–11	0.00	12%	6 Aug →
dust2	7–13	-0.03	10%	5 Aug →
ancient	2–13	-0.07	15%	5 Aug →
inferno	13–10	0.07	19%	5 Aug →
dust2	1–5	-0.05	20%	29 Jul →
dust2	0–2	-0.01	0%	28 Jul →
dust2	13–0	0.04	31%	18 Jul →
cache	13–6	0.00	23%	18 Jul →
dust2	13–9	0.03	11%	17 Jul →
cache	15–15	-0.00	15%	17 Jul →
dust2	7–13	0.02	22%	15 Jul →
ancient	8–13	-0.03	11%	14 Jul →
dust2	0–13	-0.11	0%	14 Jul →
cache	13–11	0.03	15%	12 Jul →
anubis	8–13	0.02	11%	12 Jul →
anubis	4–13	-0.03	18%	11 Jul →
dust2	13–9	0.03	14%	11 Jul →
inferno	13–10	0.06	18%	11 Jul →
ancient	16–12	0.02	22%	11 Jul →
mirage	13–2	-0.01	15%	9 Jul →
cache	13–10	0.01	15%	9 Jul →
ancient	13–8	0.00	5%	9 Jul →
vertigo	12–12	0.11	17%	8 Jul →
cache	5–13	0.05	19%	8 Jul →
cache	11–13	0.09	12%	8 Jul →
ancient	5–13	-0.02	18%	6 Jul →
cache	13–11	0.03	18%	6 Jul →
inferno	0–3	-0.09	0%	5 Jul →
vertigo	13–11	-0.04	20%	27 Jun →
dust2	13–11	-0.02	6%	6 Jun →
ancient	2–8	0.01	14%	6 Jun →
dust2	5–13	-0.02	28%	1 Jun →
ancient	11–13	0.02	12%	1 Jun →
dust2	12–16	-0.05	24%	31 May →
dust2	2–13	-0.07	14%	30 May →
cache	9–13	-0.00	27%	24 May →
cache	13–5	0.08	25%	23 May →
anubis	2–7	-0.05	15%	23 May →
mirage	6–13	-0.11	17%	21 May →
nuke	3–1	-0.02	50%	21 May →
dust2	3–13	-0.15	8%	18 May →
inferno	8–13	0.04	15%	17 May →
inferno	13–8	-0.01	7%	17 May →
cache	13–8	0.08	13%	10 May →
cache	13–5	0.13	17%	3 May →
cache	11–13	0.00	16%	3 May →
cache	13–2	-0.03	18%	29 Apr →
dust2	2–13	-0.04	15%	26 Apr →
dust2	13–6	0.04	12%	26 Apr →
overpass	3–13	-0.04	8%	25 Apr →
inferno	16–13	0.06	18%	25 Apr →
inferno	13–3	-0.01	32%	22 Apr →
anubis	15–15	-0.05	11%	17 Apr →
ancient	5–13	-0.01	12%	12 Apr →
inferno	8–13	0.03	18%	12 Apr →
ancient	13–7	-0.03	19%	12 Apr →
ancient	9–13	0.05	14%	11 Apr →
ancient	13–11	-0.01	15%	11 Apr →
dust2	11–8	-0.04	16%	10 Apr →
dust2	15–15	-0.01	15%	10 Apr →
dust2	16–13	0.01	18%	9 Apr →
dust2	13–10	-0.03	12%	9 Apr →
vertigo	13–4	-0.01	10%	8 Apr →