MuiMui — CS2 Stats

JP76561198006189352[U:1:45923624]Steam profile ↗✓ No bans

395Tracked matches68%Win rate2020Tracked since

5,094Hours in CS17Hrs last 2 wks

CSDB Rating7.9 StrongPositional Player

Premier CS Rating23,862Top 25% of 205,416 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)

CSDB Leaderboard#32650 of 252734 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (38 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: 23,862 +128 2 Sept – 10 Sept · 5 days played

24,363Peak Premier in tracked matches

24Days played since 2026-08-26

Premier CS Rating

383 below peak (24,245)
Next: Red band at 25,000 — 1,138 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 9 among CSDB-tracked players (n=14,654), 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	47.2%	48.2%	50.9%	3.7% short
Shot accuracy	17.3%	13.2%	13.7%	above
Kill/death ratio	1.09	1.07	1.09	meets
Match win rate	51.6%	46.9%	48.4%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot 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

Aim83

Positioning75

Utility53

0–100 skill scores via Leetify.

Recent form

HOT62–31–7Last 10062%Win rateWLWTWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +11.7pp headshot accuracy · +46ms reaction

Win rate up 20pp 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

3–1–1 · 60% win rate
Avg rating 0.05
Avg headshot accuracy 34%
Avg reaction 555ms

Last 10

7–2–1 · 70% win rate
Avg rating 0.03
Avg headshot accuracy 37%
Avg reaction 552ms

Last 20

12–6–2 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 31%
Avg reaction 529ms

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 (+2.7 against its own average).

Aim8.3

Utility5.3

Positioning7.5

Opening Duels6.3

Clutch0.0

Effective flashesLimited utility dependence

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 s1mple 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

T openings. 80% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 80% on T to 60% on CT — first contacts on the defending side are being lost.

Reaction time. 570ms 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

Aim8.3

Positioning7.5

Utility5.3

Mechanics7.4

Opening Duels8.7

Win Impact10.0

Composite 7.9/10 (Strong), 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 rating0.01−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time546ms−60ms

first ⅓ avg 605ms → last ⅓ avg 546ms

Headshot accuracy29.4%−0.2%

first ⅓ avg 29.6% → last ⅓ avg 29.4%

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

0.18Best match rating · 13–8 · mirage, 28 Aug →

58%Best headshot accuracy · 13–1 · mirage, 28 Sept →

375msFastest reaction time · 13–9 · inferno, 11 Sept →

13–1Biggest win · mirage, 28 Sept →

Across the last 100 tracked matches.

Highlights

13Longest win streak

3–6In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 80% over 10dust2Weakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	68	42–26	62%	0.02
inferno	S	10	8–2	80%	0.02
dust2	D	9	2–7	22%	0.01
cache	—	4	3–1	75%	0.01
train	—	3	2–1	67%	-0.00
anubis	—	3	2–1	67%	-0.01
ancient	—	1	1–0	100%	0.14
nuke	—	1	1–0	100%	0.04
overpass	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

115,958Lifetime kills

1.09K/D · Top 50% of Level 9 players

5,194Matches

51.6%Match win rate · Top 25% of Level 9 players

47.2%Headshot %

17.3%Shot accuracy · Top 25% of Level 9 players

17,334MVPs

2,536Hours (in match)

4,852Bombs planted

1,556Bombs defused

Most-used weapons

AK-4739,116

M4A4 / M4A1-S20,002

AWP17,875

P2000 / USP-S6,533

Desert Eagle4,678

P2504,610

Glock-184,023

Knife2,531

P902,272

Tec-91,444

Lifetime map wins

6,820inferno

6,663dust2

3,982cbble

3,137train

3,058nuke

693vertigo

155office

128aztec

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

Faceit stats

Combat

645Matches

52%Win rate

1.34Avg K/D

63.9ADR

50%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	0.86	12.0
Anubis	1	0%	0.94	17.0

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.

29.4%Headshot accuracy

33.5%Accuracy (enemy spotted)

30.7%Spray accuracy

83.4%Counter-strafing

8.4°Preaim

570msReaction time

79.9%T opening success

59.9%CT opening success

0.75Enemies flashed / flash

21.8%Flash assists

9.47HE damage / grenade

4.15Flashes / match

Recommended for you

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.

22% win rate across 9 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
mirage	13–7	-0.00	22%	16 Oct →
train	3–13	0.05	30%	7 Oct →
ancient	13–6	0.14	25%	7 Oct →
mirage	12–12	0.04	50%	2 Oct →
mirage	13–8	0.04	43%	2 Oct →
mirage	13–4	0.01	40%	2 Oct →
mirage	13–9	0.09	28%	29 Sept →
mirage	13–1	-0.05	58%	28 Sept →
mirage	11–13	0.00	37%	28 Sept →
mirage	13–6	-0.03	37%	28 Sept →
mirage	8–13	0.03	23%	23 Sept →
dust2	13–3	0.09	24%	23 Sept →
anubis	13–9	-0.06	17%	23 Sept →
inferno	13–7	-0.01	28%	23 Sept →
inferno	0–2	0.00	0%	22 Sept →
mirage	3–13	-0.11	28%	18 Sept →
mirage	7–13	-0.04	52%	18 Sept →
mirage	13–6	0.07	31%	18 Sept →
mirage	12–12	-0.00	18%	15 Sept →
mirage	13–9	0.00	33%	15 Sept →
mirage	8–13	-0.03	18%	14 Sept →
inferno	5–13	0.10	28%	12 Sept →
mirage	13–9	0.06	27%	12 Sept →
inferno	13–9	-0.02	18%	11 Sept →
inferno	13–4	0.02	17%	11 Sept →
inferno	13–10	0.00	35%	11 Sept →
inferno	13–1	0.02	29%	11 Sept →
inferno	13–9	0.08	23%	11 Sept →
mirage	5–13	0.04	25%	10 Sept →
anubis	13–9	-0.04	17%	10 Sept →
dust2	3–13	-0.07	41%	10 Sept →
train	13–7	-0.11	41%	9 Sept →
mirage	13–9	-0.01	27%	9 Sept →
mirage	13–6	0.05	24%	9 Sept →
mirage	12–12	-0.00	20%	9 Sept →
mirage	12–12	0.05	19%	9 Sept →
mirage	11–13	0.01	33%	9 Sept →
mirage	6–13	-0.04	18%	9 Sept →
dust2	10–13	-0.03	27%	9 Sept →
dust2	13–5	0.04	32%	9 Sept →
mirage	5–13	-0.01	45%	8 Sept →
inferno	13–9	0.05	38%	8 Sept →
mirage	13–8	0.01	13%	8 Sept →
mirage	11–13	-0.00	28%	8 Sept →
mirage	13–8	0.00	45%	6 Sept →
mirage	13–8	0.09	40%	6 Sept →
mirage	6–13	-0.03	31%	6 Sept →
mirage	10–13	-0.02	33%	6 Sept →
mirage	13–4	0.06	29%	5 Sept →
mirage	1–13	-0.07	20%	5 Sept →
nuke	13–11	0.04	32%	5 Sept →
dust2	5–13	0.05	53%	5 Sept →
inferno	13–9	0.00	29%	5 Sept →
mirage	12–12	0.13	23%	5 Sept →
mirage	4–13	-0.04	34%	5 Sept →
anubis	10–13	0.07	32%	5 Sept →
dust2	4–13	0.05	57%	5 Sept →
cache	13–7	0.03	21%	4 Sept →
dust2	3–9	-0.02	42%	4 Sept →
mirage	13–3	0.13	33%	2 Sept →
dust2	5–13	0.03	22%	2 Sept →
mirage	9–13	0.00	16%	2 Sept →
mirage	2–13	0.02	18%	2 Sept →
cache	11–13	0.01	30%	2 Sept →
cache	13–9	0.01	24%	2 Sept →
cache	13–3	-0.01	31%	2 Sept →
mirage	13–5	0.07	26%	2 Sept →
mirage	10–13	0.04	25%	2 Sept →
mirage	13–6	0.00	18%	1 Sept →
mirage	12–12	0.08	34%	1 Sept →
mirage	13–7	-0.07	33%	1 Sept →
mirage	13–4	0.06	41%	1 Sept →
mirage	13–3	0.06	42%	1 Sept →
mirage	13–1	0.03	27%	30 Aug →
mirage	13–6	0.03	44%	30 Aug →
mirage	13–9	0.04	29%	30 Aug →
mirage	13–11	0.05	33%	30 Aug →
mirage	13–8	0.10	43%	30 Aug →
mirage	13–1	0.09	31%	30 Aug →
mirage	13–4	0.06	39%	30 Aug →
mirage	13–6	0.03	25%	29 Aug →
mirage	13–2	0.02	26%	29 Aug →
mirage	7–1	-0.04	0%	29 Aug →
mirage	10–13	0.09	31%	29 Aug →
overpass	13–9	0.07	25%	29 Aug →
train	13–3	0.05	21%	29 Aug →
mirage	12–12	0.01	29%	28 Aug →
mirage	13–1	0.04	23%	28 Aug →
mirage	13–2	0.08	30%	28 Aug →
mirage	13–8	0.08	40%	28 Aug →
mirage	13–6	0.01	36%	28 Aug →
mirage	7–13	0.03	21%	28 Aug →
mirage	13–11	-0.03	31%	28 Aug →
mirage	13–4	0.05	34%	28 Aug →
mirage	13–8	0.18	25%	28 Aug →
mirage	13–5	-0.00	26%	28 Aug →
dust2	11–13	-0.03	21%	28 Aug →
mirage	13–6	-0.02	22%	28 Aug →
mirage	13–3	-0.05	33%	26 Aug →
mirage	13–2	0.09	35%	26 Aug →