Meow

Meow — CS2 Stats

76561198302265730[U:1:342000002]Steam profile ↗✓ No bans

1,169Tracked matches38%Win rate2023Tracked since
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating22,421Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#51811 of 261639 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (9 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: 22,421 -2,578 7 May – 6 Nov · 8 days played
22,42125,119peak 25,1197 May6 Nov
25,119Peak Premier in tracked matches
21Days played since 2026-05-02

Premier CS Rating

  • 2,698 below peak (25,119)
  • Next: Red band at 25,000 — 2,579 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-05
  • Pink band first seen 2026-09-05

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

Share this profile

CSDB.GGMeowFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,421 · Pink bandcsdb.gg/stats

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Performance scores

Aim86
Positioning64
Utility59

0–100 skill scores via Leetify.

Recent form

COLD49–40–11Last 10049%Win rateLWLLLWLLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −3.9pp headshot accuracy · −58ms 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 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 545ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 556ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 584ms

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.

Aim8.6
Utility5.9
Positioning6.4
Opening Duels6.0

Sharp aimerExcellent counter-strafing

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

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 631ms 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

Aim8.6
Positioning6.4
Utility5.9
Mechanics8.7
Opening Duels6.4
Win Impact1.2

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 rating0.04+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time621ms+24ms
first ⅓ avg 597ms → last ⅓ avg 621ms
Headshot accuracy24.3%−0.2%
first ⅓ avg 24.5% → last ⅓ avg 24.3%

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

0.25Best match rating · 13–2 · inferno, 3 Nov →
41%Best headshot accuracy · 8–13 · inferno, 1 Jun →
414msFastest reaction time · 7–13 · cache, 4 May →
13–1Biggest win · cache, 5 May →

Across the last 100 tracked matches.

Highlights

11Longest win streak
4–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 56% over 9nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB6632–3448%0.02
infernoA116–555%0.06
mirageA95–456%0.02
nukeC52–340%0.02
dust2—40–40%0.00
anubis—21–150%0.05
ancient—22–0100%-0.00
overpass—11–0100%0.14

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.7%Headshot accuracy
38.8%Accuracy (enemy spotted)
39.0%Spray accuracy
89.1%Counter-strafing
9.2°Preaim
631msReaction time
52.0%T opening success
58.8%CT opening success
0.61Enemies flashed / flash
9.1%Flash assists
9.76HE damage / grenade
10.30Flashes / match

Recommended for you

Spend your practice time on Nuke

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust20–8-0.0525%6 Nov →
cache13–60.0925%5 Nov →
inferno7–13-0.068%4 Nov →
dust210–130.0821%4 Nov →
inferno3–13-0.0139%4 Nov →
nuke13–100.0519%4 Nov →
mirage9–13-0.0135%4 Nov →
nuke6–130.0818%4 Nov →
mirage13–30.1521%3 Nov →
dust211–13-0.0424%3 Nov →
inferno13–20.2526%3 Nov →
cache13–40.1322%3 Nov →
dust23–130.0233%3 Nov →
anubis15–150.0525%31 Oct →
inferno9–5-0.0325%2 Jun →
inferno8–130.0441%1 Jun →
cache1–13-0.0725%31 May →
cache13–10-0.0436%27 May →
mirage3–13-0.0625%24 May →
cache11–13-0.0314%24 May →
mirage6–13-0.0615%24 May →
inferno13–8-0.0125%24 May →
cache12–120.0735%24 May →
mirage8–00.0625%24 May →
inferno13–30.1124%24 May →
mirage13–30.1131%24 May →
cache2–13-0.070%24 May →
cache12–120.0225%24 May →
cache11–130.0121%17 May →
inferno9–40.0733%17 May →
inferno7–90.0723%17 May →
overpass9–70.1421%17 May →
inferno9–10.2219%17 May →
inferno7–9-0.0332%14 May →
nuke1–9-0.1023%14 May →
nuke4–9-0.0230%14 May →
cache10–13-0.0129%13 May →
cache12–12-0.0314%9 May →
cache13–90.0521%9 May →
cache13–100.0230%9 May →
ancient13–10-0.0023%8 May →
cache13–50.0114%8 May →
cache13–50.1133%8 May →
cache13–110.0313%7 May →
ancient13–8-0.0128%7 May →
nuke13–90.0629%7 May →
anubis13–110.0421%7 May →
mirage13–70.0225%7 May →
mirage13–50.0320%7 May →
mirage10–13-0.0317%7 May →
cache13–50.0420%7 May →
cache13–2-0.0026%6 May →
cache5–13-0.0621%6 May →
cache10–130.0234%6 May →
cache13–20.0123%6 May →
cache9–130.0416%6 May →
cache13–30.0424%6 May →
cache12–120.0520%6 May →
cache13–60.0326%6 May →
cache13–30.0012%6 May →
cache13–40.1222%5 May →
cache4–13-0.093%5 May →
cache13–10.0521%5 May →
cache10–13-0.0119%5 May →
cache4–130.1125%5 May →
cache10–130.0217%5 May →
cache6–130.0230%5 May →
cache13–70.0518%5 May →
cache13–80.0629%5 May →
cache13–30.1838%4 May →
cache9–130.0135%4 May →
cache12–120.0310%4 May →
cache13–110.0930%4 May →
cache7–13-0.0124%4 May →
cache13–90.0128%4 May →
cache13–80.0436%4 May →
cache11–130.0431%4 May →
cache7–130.0418%4 May →
cache3–130.0022%3 May →
cache13–90.0028%3 May →
cache13–40.0118%3 May →
cache13–8-0.0234%3 May →
cache13–40.036%3 May →
cache3–13-0.135%3 May →
cache12–120.0421%3 May →
cache11–130.0031%3 May →
cache13–30.0238%3 May →
cache13–60.0733%3 May →
cache13–100.0730%3 May →
cache13–80.0122%3 May →
cache12–120.0034%2 May →
cache12–120.0716%2 May →
cache10–130.0128%2 May →
cache10–130.0834%2 May →
cache5–13-0.0223%2 May →
cache13–50.0116%2 May →
cache12–120.0015%2 May →
cache12–120.0418%2 May →
cache13–70.0024%2 May →
cache10–13-0.0515%2 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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