miau

miau — CS2 Stats

76561199515095078[U:1:1554829350]Steam profile ↗✓ No bans

454Tracked matches57%Win rate2024Tracked since
342Hours in CS5Hrs last 2 wks
CSDB Rating7.4 StrongAll-Rounder
Premier CS Rating18,398Purple band · top ~14.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 18,398 -649 16 Apr – 2 Nov · 27 days played
12,74719,047peak 19,04716 Apr2 Nov
19,375Peak Premier in tracked matches
34Days played since 2026-04-16

Premier CS Rating

  • 649 below peak (19,047)
  • +5,651 over 30 days · improving
  • Next: Pink band at 20,000 — 1,602 to go
  • Reached: 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.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate54.2%42.7%43.8%above
Shot accuracy0.0%11.2%12.0%12.0% short
Kill/death ratio1.140.991.02above
Match win rate53.0%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.

Share this profile

CSDB.GGmiauFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,398 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83
Positioning71
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWWLLWWLWLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +0.6pp headshot accuracy · +46ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 550ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 569ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 546ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.3
Utility7.4
Positioning7.1
Opening Duels6.4

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

device

Plays most like device 86% 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. 62% T opening-duel success — entries that actually open the round.

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
Positioning7.1
Utility7.4
Mechanics6.4
Opening Duels7.1
Win Impact7.2

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.06+0.06
first ⅓ avg -0.00 → last ⅓ avg 0.06
Reaction time549ms−60ms
first ⅓ avg 609ms → last ⅓ avg 549ms
Headshot accuracy22.1%+2.9%
first ⅓ avg 19.2% → last ⅓ avg 22.1%

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

0.24Best match rating · 13–4 · nuke, 4 Jun →
80%Best headshot accuracy · 13–7 · ancient, 13 Oct →
406msFastest reaction time · 12–12 · office, 5 Jun →
13–0Biggest win · mirage, 6 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
9–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 64% over 11infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB199–1047%0.02
nukeA1710–759%0.04
ancientB168–850%0.05
dust2A148–657%0.03
infernoC135–838%0.01
anubisA117–464%0.04
cacheC73–443%0.02
office—21–150%-0.01
overpass—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,699Lifetime kills
1.14K/D · Top 25% of Level 4 players
451Matches
53.0%Match win rate · Top 10% of Level 4 players
54.2%Headshot % · Top 10% of Level 4 players
0.0%Shot accuracy
1,267MVPs
180Hours (in match)
427Bombs planted
123Bombs defused

Most-used weapons

Lifetime map wins

829inferno
810nuke
807dust2
115train
61vertigo
34office
6ar_shoots
5ar_baggage

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

Faceit stats

Combat

5Matches
40%Win rate
1.25Avg K/D
—ADR
62%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%0.628.0
Inferno10%1.4320.0
Mirage10%0.6210.0
Nuke1100%1.6331.0
Overpass10%1.9435.0

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.

20.5%Headshot accuracy
38.5%Accuracy (enemy spotted)
40.3%Spray accuracy
79.0%Counter-strafing
9.5°Preaim
544msReaction time
62.1%T opening success
54.7%CT opening success
0.59Enemies flashed / flash
9.6%Flash assists
11.13HE damage / grenade
12.97Flashes / match

Recommended for you

Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–140.1417%2 Nov →
nuke13–80.0726%2 Nov →
dust28–13-0.0718%30 Oct →
nuke11–130.0618%22 Oct →
ancient13–70.1322%22 Oct →
inferno13–70.0225%22 Oct →
cache8–13-0.039%21 Oct →
mirage13–80.0424%21 Oct →
ancient5–130.0213%21 Oct →
dust25–130.0324%21 Oct →
anubis11–130.0613%19 Oct →
inferno10–13-0.0314%19 Oct →
cache13–60.1114%19 Oct →
dust213–50.0516%19 Oct →
inferno13–5-0.0415%19 Oct →
nuke14–160.0524%19 Oct →
anubis16–120.0428%19 Oct →
cache10–130.0626%18 Oct →
mirage5–130.0617%18 Oct →
inferno6–130.0824%18 Oct →
ancient13–80.1521%18 Oct →
mirage16–120.1515%18 Oct →
cache9–130.0214%18 Oct →
ancient13–110.0614%18 Oct →
dust213–4-0.0030%15 Oct →
anubis11–130.1229%15 Oct →
ancient13–60.0921%15 Oct →
dust213–80.1525%14 Oct →
dust213–110.0224%14 Oct →
nuke16–140.0331%14 Oct →
ancient13–70.2280%13 Oct →
dust213–7-0.0120%13 Oct →
nuke6–130.1518%13 Oct →
mirage10–130.0824%12 Oct →
dust28–130.0924%12 Oct →
cache13–20.0728%12 Oct →
mirage13–70.1120%12 Oct →
inferno11–130.0716%9 Oct →
nuke13–110.1125%9 Oct →
mirage13–160.0622%8 Oct →
anubis13–90.0618%8 Oct →
nuke13–20.0919%8 Oct →
anubis13–80.1521%6 Oct →
cache13–110.0120%6 Oct →
nuke13–100.0826%6 Oct →
ancient13–110.1320%6 Oct →
dust29–130.0425%6 Oct →
inferno13–7-0.0214%6 Oct →
mirage13–70.0132%6 Oct →
mirage13–00.0415%6 Oct →
inferno13–7-0.0320%6 Oct →
dust213–50.0438%6 Oct →
anubis16–140.1322%6 Oct →
anubis13–70.0010%2 Oct →
nuke11–13-0.0814%2 Oct →
ancient13–8-0.0316%2 Oct →
ancient13–2-0.0113%2 Oct →
mirage8–130.0026%25 Sept →
mirage13–10-0.0523%24 Aug →
cache3–13-0.0920%17 Aug →
anubis16–12-0.0715%17 Aug →
nuke4–13-0.0644%17 Aug →
dust26–130.0121%17 Aug →
ancient8–13-0.0423%17 Aug →
anubis16–130.0510%14 Aug →
ancient10–13-0.056%14 Aug →
inferno13–30.166%14 Aug →
nuke13–10-0.0232%11 Aug →
inferno2–4-0.0650%6 Aug →
mirage11–13-0.0117%27 Jul →
inferno8–130.0212%7 Jun →
office12–12-0.038%5 Jun →
office13–80.0213%5 Jun →
mirage10–130.0217%5 Jun →
nuke13–80.0225%5 Jun →
mirage13–90.1429%4 Jun →
ancient15–150.0813%4 Jun →
nuke13–40.2427%4 Jun →
dust22–13-0.0521%4 Jun →
inferno7–130.0317%4 Jun →
dust213–110.0517%4 Jun →
mirage3–13-0.0614%29 May →
anubis4–13-0.0415%28 May →
mirage10–13-0.0117%28 May →
nuke9–13-0.0313%19 May →
ancient15–15-0.0116%7 May →
nuke13–9-0.0314%7 May →
dust213–00.0820%1 May →
mirage5–13-0.0321%1 May →
mirage13–6-0.0416%27 Apr →
overpass6–13-0.0815%25 Apr →
mirage5–13-0.0716%25 Apr →
ancient3–130.0225%25 Apr →
ancient11–13-0.0815%22 Apr →
inferno6–13-0.0213%17 Apr →
nuke6–13-0.0519%17 Apr →
inferno3–13-0.0816%17 Apr →
ancient6–130.0316%16 Apr →
anubis10–13-0.0432%16 Apr →
mirage13–10-0.0623%16 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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