Črna 🜏 Smrt — CS2 Stats

SI76561198030271981[U:1:70006253]Steam profile ↗✓ No bans

2,202Tracked matches54%Win rate2020Tracked since

6,179Hours in CS30Hrs last 2 wks

CSDB Rating6.9 SolidPositional Player

Premier CS Rating24,899Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)

CSDB Leaderboard#24448 of 261591 tracked

FaceitLevel 9 · 1,976 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 24,899 +1,209 30 Jul – 12 Nov · 16 days played

Faceit ELO: 1,976 +0 4 Sept – 2 Oct · 3 observations

25,102Peak Premier in tracked matches

1,976Highest Faceit ELO seen on CSDB

30Days played since 2026-07-28

Faceit ELO

At peak — 1,976
0 over 30 days · steady
Next: Level 10 at 2,001 — 25 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-04
Level 8 first seen 2026-09-04

Premier CS Rating

203 below peak (25,102)
+1,220 over 90 days
Next: Red band at 25,000 — 101 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-09-04
Purple band first seen 2026-09-04

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 9 among CSDB-tracked players (n=15,132), 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 9 median	Level 10 median	vs Level 10
Headshot rate	34.7%	48.2%	50.9%	16.3% short
Shot accuracy	23.2%	13.2%	13.7%	above
Kill/death ratio	1.60	1.07	1.09	above
Match win rate	24.2%	46.9%	48.4%	24.2% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim74

Positioning73

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY40–51–9Last 10040%Win rateLLWLWTLWLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −3.5pp headshot accuracy · −13ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 13%
Avg reaction 567ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 14%
Avg reaction 561ms

Last 20

11–8–1 · 55% win rate
Avg rating 0.03
Avg headshot accuracy 15%
Avg reaction 567ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim7.4

Utility6.7

Positioning7.3

Opening Duels4.8

Clutch3.8

Effective flashes

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 ZywOo 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 564ms 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

Aim7.4

Positioning7.3

Utility6.7

Mechanics5.7

Opening Duels6.1

Win Impact6.2

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.03

first ⅓ avg -0.00 → last ⅓ avg 0.03

Reaction time564ms−28ms

first ⅓ avg 591ms → last ⅓ avg 564ms

Headshot accuracy15.2%+1.8%

first ⅓ avg 13.3% → last ⅓ avg 15.2%

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

0.21Best match rating · 13–0 · ancient, 11 Nov →

29%Best headshot accuracy · 13–8 · mirage, 11 Nov →

391msFastest reaction time · 12–12 · mirage, 11 Aug →

13–0Biggest win · ancient, 11 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

5–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 63% over 16cacheWeakest map · 29% over 24

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	24	7–17	29%	-0.01
mirage	C	22	9–13	41%	0.01
anubis	C	17	6–11	35%	0.00
ancient	C	16	6–10	38%	0.02
dust2	A	16	10–6	63%	0.03
inferno	—	2	0–2	0%	-0.02
train	—	2	1–1	50%	0.01
nuke	—	1	1–0	100%	0.14

Across the last 100 tracked matches.

Lifetime stats

555,539Lifetime kills

1.60K/D · Top 5% of Level 9 players

22,176Matches

24.2%Match win rate

34.7%Headshot %

23.2%Shot accuracy · Top 1% of Level 9 players

21,542MVPs

4,789Hours (in match)

7,458Bombs planted

1,538Bombs defused

Most-used weapons

AK-47184,497

AWP173,058

M4A4 / M4A1-S86,931

Desert Eagle23,829

P2000 / USP-S9,819

P2509,294

SG 5537,922

Glock-185,894

AUG5,785

Galil AR4,172

Lifetime map wins

7,998dust2

5,487inferno

4,568train

2,618office

2,200nuke

1,746cbble

1,663vertigo

1,653italy

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

Faceit stats

Combat

1,264Matches

52%Win rate

1.13Avg K/D

75.7ADR

36%Headshot %

Clutches & streaks

39%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	145	54%	1.14	14.1
Ancient	103	48%	1.15	15.6
Anubis	92	51%	1.16	14.7
Dust2	56	52%	1.05	15.5
Nuke	41	61%	1.26	16.2
Vertigo	40	35%	0.90	13.6
Inferno	31	55%	1.02	15.6
Overpass	15	33%	0.92	13.3

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.

15.6%Headshot accuracy

38.4%Accuracy (enemy spotted)

41.9%Spray accuracy

75.7%Counter-strafing

10.2°Preaim

564msReaction time

57.9%T opening success

50.8%CT opening success

0.72Enemies flashed / flash

11.0%Flash assists

8.63HE damage / grenade

8.90Flashes / match

Recommended for you

Spend your practice time on Cache

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 24 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	0.02	12%	14 Nov →
anubis	8–13	-0.02	9%	14 Nov →
mirage	13–9	-0.03	21%	14 Nov →
cache	10–13	-0.06	10%	12 Nov →
ancient	13–3	0.09	11%	12 Nov →
anubis	12–12	0.01	18%	12 Nov →
mirage	13–16	-0.04	11%	12 Nov →
ancient	13–0	0.21	9%	11 Nov →
anubis	4–13	-0.01	6%	11 Nov →
mirage	13–8	0.02	29%	11 Nov →
cache	13–10	-0.01	24%	11 Nov →
nuke	13–4	0.14	16%	11 Nov →
dust2	13–11	0.03	14%	11 Nov →
cache	11–13	-0.02	13%	10 Nov →
dust2	13–5	0.10	16%	10 Nov →
mirage	4–13	0.01	11%	10 Nov →
ancient	2–9	0.06	23%	10 Nov →
anubis	13–5	0.07	15%	9 Nov →
cache	13–7	0.08	16%	9 Nov →
dust2	13–9	0.03	22%	9 Nov →
mirage	9–13	-0.02	18%	8 Nov →
cache	11–13	0.02	20%	8 Nov →
anubis	7–13	0.02	21%	8 Nov →
ancient	13–10	-0.06	24%	8 Nov →
dust2	13–6	0.00	10%	8 Nov →
dust2	13–10	0.07	15%	5 Nov →
cache	6–13	-0.04	16%	5 Nov →
cache	12–12	0.01	11%	4 Nov →
mirage	13–11	0.08	14%	4 Nov →
dust2	14–16	-0.03	13%	4 Nov →
dust2	13–11	0.05	12%	3 Nov →
mirage	13–3	0.09	15%	3 Nov →
ancient	8–13	0.01	6%	3 Nov →
anubis	13–5	0.00	5%	3 Nov →
cache	13–9	0.00	14%	2 Nov →
anubis	3–13	-0.05	11%	1 Nov →
mirage	10–13	0.06	15%	1 Nov →
mirage	13–11	0.06	14%	31 Oct →
ancient	10–13	0.06	13%	31 Oct →
ancient	5–13	-0.01	10%	30 Oct →
mirage	12–12	0.03	12%	30 Oct →
ancient	13–4	0.05	16%	30 Oct →
dust2	13–3	0.06	24%	30 Oct →
inferno	11–13	-0.05	10%	29 Oct →
ancient	13–11	0.02	7%	29 Oct →
anubis	13–4	0.03	14%	28 Oct →
inferno	12–16	0.01	9%	28 Oct →
dust2	10–13	0.00	18%	26 Oct →
cache	12–12	0.00	7%	26 Oct →
ancient	5–13	-0.05	11%	25 Oct →
anubis	12–12	-0.05	19%	25 Oct →
mirage	7–13	0.06	16%	23 Oct →
cache	13–5	0.02	3%	23 Oct →
anubis	7–13	-0.03	2%	23 Oct →
mirage	5–13	0.02	21%	22 Oct →
dust2	13–10	-0.00	10%	14 Aug →
mirage	3–13	-0.04	11%	14 Aug →
dust2	9–13	0.07	10%	12 Aug →
ancient	7–13	-0.03	3%	12 Aug →
cache	12–12	0.09	11%	12 Aug →
mirage	12–12	-0.02	5%	11 Aug →
cache	13–9	-0.08	9%	11 Aug →
ancient	10–13	0.03	17%	11 Aug →
mirage	13–9	0.02	13%	10 Aug →
anubis	16–12	0.00	13%	10 Aug →
cache	13–9	0.01	9%	10 Aug →
anubis	6–13	0.02	14%	3 Aug →
dust2	9–13	-0.00	18%	3 Aug →
mirage	6–13	-0.05	11%	2 Aug →
train	13–2	0.05	16%	2 Aug →
anubis	13–3	0.04	9%	2 Aug →
cache	6–13	-0.01	9%	2 Aug →
cache	1–13	-0.06	21%	2 Aug →
mirage	13–7	0.03	18%	2 Aug →
dust2	13–2	0.02	26%	2 Aug →
anubis	6–13	0.04	16%	1 Aug →
cache	3–13	-0.06	23%	1 Aug →
ancient	9–13	0.01	8%	1 Aug →
dust2	12–12	0.04	15%	1 Aug →
mirage	13–6	0.09	11%	1 Aug →
cache	2–13	0.02	15%	1 Aug →
mirage	6–13	-0.01	17%	1 Aug →
ancient	13–8	-0.05	8%	1 Aug →
cache	13–7	0.01	10%	31 Jul →
anubis	13–7	0.01	8%	31 Jul →
cache	10–13	-0.01	7%	31 Jul →
mirage	13–2	0.01	25%	31 Jul →
anubis	9–13	-0.02	7%	31 Jul →
ancient	1–13	-0.04	7%	31 Jul →
cache	5–13	-0.07	5%	31 Jul →
cache	9–13	-0.02	10%	31 Jul →
ancient	11–13	0.04	15%	30 Jul →
mirage	8–13	0.04	24%	30 Jul →
train	12–12	-0.03	12%	30 Jul →
dust2	11–13	-0.01	12%	30 Jul →
anubis	10–13	-0.07	8%	29 Jul →
dust2	13–6	0.07	10%	29 Jul →
cache	4–13	-0.04	13%	29 Jul →
mirage	8–13	-0.08	14%	28 Jul →
cache	9–13	0.01	14%	28 Jul →