murkch999 — CS2 Stats

YE76561198422456582[U:1:462190854]Steam profile ↗✓ No bans

2,242Tracked matches53%Win rate2020Tracked since

2,974Hours in CS3Hrs last 2 wks

CSDB Rating5.7 SolidClutch Specialist

Premier CS Rating20,551Top 50% of 212,910 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)

CSDB Leaderboard#75748 of 259623 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (37 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: 20,551 +638 23 May – 27 Sept · 4 days played

20,551Peak Premier in tracked matches

55Days played since 2026-05-21

Premier CS Rating

At peak — 20,551
+1,007 over 90 days
Next: Red band at 25,000 — 4,449 to go
Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 median	Level 5 median	vs Level 5
Headshot rate	55.6%	42.7%	43.8%	above
Shot accuracy	9.7%	11.2%	12.0%	2.4% short
Kill/death ratio	1.26	0.99	1.02	above
Match win rate	49.7%	43.9%	44.7%	above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim67

Positioning54

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateWWLLWLLLWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +4.3pp headshot accuracy · +33ms 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

3–2 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 28%
Avg reaction 610ms

Last 10

5–5 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 27%
Avg reaction 635ms

Last 20

10–10 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 25%
Avg reaction 619ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.4 against its own average).

Aim6.7

Utility4.4

Positioning5.4

Opening Duels2.7

Clutch10.0

Reliable in 1v1s

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 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 56% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 593ms 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

Aim6.7

Positioning5.4

Utility4.4

Mechanics5.7

Opening Duels4.1

Win Impact6.1

Composite 5.7/10 (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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time595ms−45ms

first ⅓ avg 640ms → last ⅓ avg 595ms

Headshot accuracy26.1%+0.9%

first ⅓ avg 25.2% → last ⅓ avg 26.1%

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

0.12Best match rating · 10–13 · anubis, 29 May →

53%Best headshot accuracy · 13–5 · dust2, 13 Jun →

391msFastest reaction time · 6–13 · cache, 18 Sept →

13–1Biggest win · inferno, 15 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W2Current streak

10–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 71% over 7dust2Weakest map · 43% over 53

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	53	23–30	43%	-0.01
cache	A	27	16–11	59%	0.01
mirage	S	7	5–2	71%	0.01
inferno	S	6	4–2	67%	-0.02
nuke	—	4	2–2	50%	-0.03
vertigo	—	1	1–0	100%	0.11
fachwerk	—	1	0–1	0%	0.03
anubis	—	1	0–1	0%	0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 53). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,289Lifetime kills

1.26K/D · Top 25% of Level 4 players

3,359Matches

49.7%Match win rate · Top 25% of Level 4 players

55.6%Headshot % · Top 10% of Level 4 players

9.7%Shot accuracy

12,049MVPs

1,435Hours (in match)

2,349Bombs planted

923Bombs defused

Most-used weapons

AK-4731,302

Desert Eagle16,982

AWP10,424

M4A4 / M4A1-S10,149

P2000 / USP-S4,072

Glock-184,012

P250914

Galil AR808

Tec-9663

SSG 08575

Lifetime map wins

8,543inferno

5,468dust2

2,111nuke

2,028vertigo

1,237train

290cbble

97office

27lake

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

Faceit stats

Combat

92Matches

60%Win rate

1.08Avg K/D

88.2ADR

48%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	91%	1.30	17.2
Anubis	4	75%	1.13	16.5
Vertigo	3	67%	0.93	17.3
Ancient	2	50%	1.22	14.5
Inferno	2	100%	2.28	23.5
Overpass	1	100%	2.33	21.0
Nuke	1	0%	0.68	13.0

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.

25.6%Headshot accuracy

29.8%Accuracy (enemy spotted)

32.9%Spray accuracy

75.6%Counter-strafing

9.3°Preaim

593msReaction time

55.6%T opening success

37.6%CT opening success

0.58Enemies flashed / flash

10.4%Flash assists

6.49HE damage / grenade

6.37Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 37.5783% — below the 40% mark we flag

Spend your practice time on Dust 2

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

43% win rate across 53 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–4	-0.02	21%	24 Oct →
dust2	13–11	-0.04	26%	24 Oct →
dust2	9–13	-0.04	37%	24 Oct →
dust2	6–13	0.02	31%	22 Oct →
dust2	13–7	0.02	22%	22 Oct →
dust2	0–12	-0.11	17%	19 Oct →
dust2	10–13	-0.03	26%	17 Oct →
mirage	10–13	0.04	18%	15 Oct →
dust2	13–11	-0.02	38%	15 Oct →
mirage	13–11	0.03	32%	15 Oct →
dust2	1–7	-0.02	15%	15 Oct →
cache	13–10	-0.01	17%	14 Oct →
dust2	9–2	0.01	23%	14 Oct →
mirage	13–9	-0.03	21%	12 Oct →
dust2	4–13	-0.11	32%	11 Oct →
inferno	13–11	0.05	26%	9 Oct →
mirage	13–5	-0.00	23%	9 Oct →
dust2	13–10	0.08	17%	8 Oct →
dust2	3–13	-0.07	35%	6 Oct →
cache	6–13	-0.07	16%	27 Sept →
dust2	13–9	0.06	25%	27 Sept →
inferno	13–6	0.06	50%	27 Sept →
dust2	13–11	-0.04	22%	27 Sept →
cache	13–11	-0.04	26%	25 Sept →
dust2	6–13	-0.10	24%	23 Sept →
cache	13–7	0.03	33%	22 Sept →
dust2	10–13	-0.05	17%	22 Sept →
dust2	8–13	-0.03	21%	20 Sept →
dust2	13–7	-0.00	25%	19 Sept →
dust2	3–13	0.03	26%	19 Sept →
dust2	2–13	0.06	41%	19 Sept →
cache	6–13	-0.04	24%	18 Sept →
cache	13–11	0.04	34%	16 Sept →
cache	12–12	0.03	29%	16 Sept →
dust2	3–13	0.00	30%	15 Sept →
cache	13–4	0.02	23%	15 Sept →
mirage	13–10	-0.03	21%	24 Aug →
dust2	12–12	-0.03	19%	9 Aug →
dust2	9–13	-0.00	21%	2 Aug →
dust2	13–3	0.00	24%	1 Aug →
cache	13–11	0.01	37%	1 Aug →
dust2	9–13	-0.00	21%	31 Jul →
cache	13–10	0.04	19%	31 Jul →
cache	13–9	0.02	25%	30 Jul →
vertigo	13–8	0.11	36%	30 Jul →
dust2	5–13	0.04	27%	30 Jul →
dust2	5–13	-0.08	21%	25 Jul →
nuke	12–4	0.01	19%	24 Jul →
dust2	3–13	-0.07	32%	24 Jul →
dust2	13–3	0.08	37%	24 Jul →
dust2	13–9	-0.06	24%	24 Jul →
cache	7–13	0.02	40%	23 Jul →
dust2	13–7	0.03	33%	23 Jul →
cache	13–2	-0.05	20%	22 Jul →
dust2	13–8	0.02	30%	22 Jul →
dust2	13–10	-0.00	31%	22 Jul →
nuke	2–13	-0.05	15%	21 Jul →
nuke	13–10	-0.05	26%	21 Jul →
dust2	13–2	0.03	23%	21 Jul →
nuke	9–13	-0.04	10%	21 Jul →
fachwerk	12–12	0.03	38%	20 Jul →
dust2	11–13	-0.04	24%	20 Jul →
dust2	13–11	-0.05	13%	17 Jul →
cache	7–13	-0.02	24%	17 Jul →
mirage	6–13	0.00	26%	17 Jul →
cache	13–7	0.04	25%	24 Jun →
cache	13–11	-0.07	14%	23 Jun →
cache	11–13	-0.01	25%	20 Jun →
dust2	13–9	0.04	35%	19 Jun →
cache	12–12	0.03	24%	15 Jun →
dust2	5–13	-0.03	23%	15 Jun →
inferno	13–1	-0.02	25%	15 Jun →
dust2	13–5	-0.01	53%	13 Jun →
dust2	13–8	-0.01	27%	8 Jun →
dust2	13–6	-0.01	25%	7 Jun →
inferno	8–13	-0.08	24%	6 Jun →
cache	13–7	-0.01	27%	6 Jun →
dust2	12–12	-0.04	21%	4 Jun →
dust2	5–13	-0.07	21%	3 Jun →
cache	13–10	0.02	18%	31 May →
dust2	1–5	-0.06	50%	31 May →
cache	1–13	-0.01	17%	30 May →
cache	9–13	0.02	25%	30 May →
inferno	11–13	-0.11	17%	30 May →
dust2	16–12	-0.03	18%	30 May →
anubis	10–13	0.12	21%	29 May →
dust2	11–13	0.03	30%	29 May →
dust2	12–12	-0.03	28%	28 May →
dust2	4–13	-0.06	21%	27 May →
cache	13–9	0.09	24%	26 May →
dust2	13–9	-0.02	30%	26 May →
cache	9–13	0.02	34%	25 May →
mirage	13–7	0.08	22%	25 May →
dust2	12–12	0.01	15%	24 May →
inferno	13–5	-0.04	21%	23 May →
dust2	13–6	0.06	25%	23 May →
dust2	11–13	0.05	23%	22 May →
cache	10–13	0.08	28%	22 May →
cache	13–2	0.02	12%	21 May →
dust2	13–3	0.08	24%	21 May →