murio — CS2 Stats

76561197971492169[U:1:11226441]Steam profile ↗✓ No bans

1,151Tracked matches43%Win rate2021Tracked since

CSDB Rating4.1 DevelopingClutch Specialist

Premier CS Rating8,904Light Blue band · top ~60.1% of ranked players (population est.)

CSDB Leaderboard#181524 of 248159 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (5 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: 8,904 +3,538 14 Apr – 28 Sept · 29 days played

9,949Peak Premier in tracked matches

43Days played since 2026-04-13

Premier CS Rating

810 below peak (9,714)
+3,028 over 90 days
Next: Blue band at 10,000 — 1,096 to go
Reached: Light Blue band

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

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Performance scores

Aim45

Positioning47

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLWLLLWLLWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −0.3pp headshot accuracy · +47ms reaction

Win rate +10pp 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 -0.07
Avg headshot accuracy 5%
Avg reaction 775ms

Last 10

4–6 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 7%
Avg reaction 724ms

Last 20

7–13 · 35% win rate
Avg rating -0.05
Avg headshot accuracy 7%
Avg reaction 700ms

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 (+4.9 against its own average).

Aim4.5

Utility3.3

Positioning4.7

Opening Duels0.6

Clutch9.4

Limited utility dependenceReliable 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 NiKo 78% 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

CT openings. Opening success drops from 56% on T to 26% on CT — first contacts on the defending side are being lost.

Reaction time. 688ms 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

Aim4.5

Positioning4.7

Utility3.3

Mechanics7.5

Opening Duels3.3

Win Impact2.8

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.02

first ⅓ avg -0.03 → last ⅓ avg -0.05

Reaction time692ms−68ms

first ⅓ avg 760ms → last ⅓ avg 692ms

Headshot accuracy8.4%−4.1%

first ⅓ avg 12.5% → last ⅓ avg 8.4%

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

0.10Best match rating · 9–3 · debris, 14 Sept →

29%Best headshot accuracy · 12–16 · inferno, 1 Sept →

461msFastest reaction time · 8–13 · ancient, 27 Sept →

12–0Biggest win · inferno, 3 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

10–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 58% over 31dust2Weakest map · 40% over 30

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	31	18–13	58%	-0.05
dust2	C	30	12–18	40%	-0.03
ancient	B	16	8–8	50%	-0.04
nuke	C	9	4–5	44%	-0.05
debris	—	4	1–3	25%	-0.06
mirage	—	3	1–2	33%	-0.08
cache	—	3	0–3	0%	-0.04
poseidon	—	3	2–1	67%	0.03
vertigo	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches

43%Win rate

0.59Avg K/D

61.4ADR

32%Headshot %

Clutches & streaks

67%1v1 clutch win

50%1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	3	33%	0.35	6.0
Dust2	2	100%	0.82	10.5
Inferno	2	0%	0.74	12.5

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.

8.3%Headshot accuracy

35.4%Accuracy (enemy spotted)

39.0%Spray accuracy

83.8%Counter-strafing

12.2°Preaim

688msReaction time

56.1%T opening success

26.0%CT opening success

0.40Enemies flashed / flash

6.2%Flash assists

7.76HE damage / grenade

2.50Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.205° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 8.3187% — below the 15% mark we flag
Aim Training →
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 0.3997 — below the 0.5 mark we flag
Grenade Lineups →

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.

40% win rate across 30 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
dust2	7–13	-0.02	9%	30 Sept →
dust2	13–11	-0.06	6%	28 Sept →
mirage	2–13	-0.12	4%	28 Sept →
inferno	0–12	-0.03	4%	28 Sept →
mirage	11–13	-0.12	0%	28 Sept →
dust2	13–5	0.04	14%	27 Sept →
ancient	8–13	-0.06	3%	27 Sept →
dust2	9–13	-0.02	13%	24 Sept →
mirage	13–10	-0.01	5%	24 Sept →
dust2	13–6	0.06	12%	23 Sept →
inferno	13–5	-0.03	4%	23 Sept →
dust2	8–13	-0.06	18%	21 Sept →
dust2	11–13	0.01	9%	21 Sept →
dust2	8–13	-0.09	0%	21 Sept →
nuke	10–13	-0.02	8%	21 Sept →
ancient	13–10	-0.06	12%	21 Sept →
inferno	13–9	-0.03	3%	16 Sept →
dust2	7–13	-0.04	6%	16 Sept →
dust2	6–13	-0.06	13%	16 Sept →
inferno	4–9	-0.25	0%	16 Sept →
debris	6–9	-0.19	10%	14 Sept →
debris	9–3	0.10	14%	14 Sept →
ancient	7–13	-0.04	11%	14 Sept →
ancient	13–11	-0.06	15%	14 Sept →
dust2	9–13	-0.06	12%	13 Sept →
dust2	11–13	-0.05	15%	13 Sept →
ancient	9–13	-0.02	6%	13 Sept →
dust2	13–9	-0.04	4%	13 Sept →
inferno	9–4	-0.02	13%	13 Sept →
inferno	13–9	0.01	11%	11 Sept →
inferno	2–13	-0.07	13%	10 Sept →
inferno	13–7	-0.06	7%	10 Sept →
inferno	13–10	-0.05	6%	3 Sept →
dust2	13–11	-0.04	7%	3 Sept →
ancient	13–11	-0.06	2%	3 Sept →
dust2	13–6	-0.10	0%	2 Sept →
nuke	15–15	-0.01	8%	2 Sept →
cache	8–13	-0.03	14%	2 Sept →
inferno	8–13	-0.07	11%	1 Sept →
inferno	12–16	-0.14	29%	1 Sept →
inferno	13–11	-0.08	11%	1 Sept →
inferno	10–13	-0.05	7%	31 Aug →
inferno	13–7	-0.06	8%	31 Aug →
ancient	13–10	-0.03	8%	27 Jul →
inferno	13–6	-0.02	10%	27 Jul →
inferno	16–14	-0.06	7%	13 Jul →
cache	9–13	-0.05	15%	13 Jul →
dust2	13–11	-0.03	12%	13 Jul →
debris	4–9	-0.05	21%	13 Jul →
debris	1–9	-0.10	18%	13 Jul →
dust2	3–13	-0.07	9%	3 Jul →
inferno	12–0	-0.03	19%	3 Jul →
dust2	3–13	-0.02	6%	30 Jun →
nuke	15–15	-0.06	11%	30 Jun →
inferno	1–9	-0.18	22%	30 Jun →
poseidon	9–2	0.02	13%	30 Jun →
dust2	8–13	0.03	16%	23 Jun →
inferno	13–10	0.03	13%	23 Jun →
ancient	13–8	-0.04	10%	22 Jun →
inferno	1–9	-0.27	0%	18 Jun →
ancient	13–2	-0.02	2%	15 Jun →
ancient	13–10	0.05	15%	15 Jun →
dust2	4–13	-0.06	16%	15 Jun →
inferno	13–11	0.01	5%	15 Jun →
dust2	8–13	0.07	14%	8 Jun →
inferno	13–2	0.05	6%	8 Jun →
nuke	9–13	-0.11	10%	5 Jun →
dust2	13–9	-0.05	14%	4 Jun →
ancient	5–13	-0.04	12%	4 Jun →
dust2	10–13	-0.13	0%	4 Jun →
dust2	11–13	-0.07	11%	3 Jun →
dust2	12–12	-0.07	13%	21 May →
inferno	9–13	-0.06	6%	20 May →
inferno	13–11	-0.01	10%	19 May →
ancient	13–9	-0.05	14%	19 May →
inferno	13–1	-0.02	16%	19 May →
inferno	10–13	-0.01	15%	18 May →
nuke	13–8	-0.04	8%	12 May →
dust2	13–6	0.03	19%	12 May →
nuke	11–13	-0.14	9%	11 May →
poseidon	9–5	0.00	15%	11 May →
dust2	13–8	-0.00	14%	5 May →
ancient	8–13	-0.08	9%	5 May →
inferno	11–13	0.03	13%	5 May →
ancient	4–13	-0.02	7%	5 May →
cache	1–13	-0.04	15%	5 May →
nuke	9–3	0.04	20%	5 May →
vertigo	9–5	0.01	12%	4 May →
inferno	9–7	-0.03	20%	3 May →
inferno	13–10	-0.05	15%	29 Apr →
dust2	13–7	0.00	13%	29 Apr →
ancient	8–13	-0.02	23%	23 Apr →
inferno	5–13	-0.06	22%	22 Apr →
nuke	13–10	-0.07	6%	22 Apr →
inferno	9–13	-0.01	4%	21 Apr →
dust2	13–9	-0.04	15%	21 Apr →
poseidon	4–9	0.05	14%	21 Apr →
ancient	9–13	-0.04	11%	15 Apr →
dust2	15–15	-0.04	3%	14 Apr →
nuke	13–9	-0.02	16%	13 Apr →