Meownold

Meownold — CS2 Stats

DE76561199162030061[U:1:1201764333]Steam profile ↗✓ No bans

1,153Tracked matches43%Win rate2023Tracked since
1,179Hours in CS25Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating8,719Light Blue band · top ~61% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). 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: 8,719 +438 10 May – 1 Oct · 33 days played
7,03711,524peak 11,52410 May1 Oct
11,746Peak Premier in tracked matches
44Days played since 2026-05-10

Premier CS Rating

  • 2,805 below peak (11,524)
  • -2,789 over 30 days · declining
  • -210 over 90 days
  • Next: Blue band at 10,000 — 1,281 to go
  • Reached: 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 3 among CSDB-tracked players (n=10,040), 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 3 medianLevel 4 medianvs Level 4
Headshot rate35.6%41.8%42.7%7.1% short
Shot accuracy0.8%12.2%11.3%10.5% short
Kill/death ratio0.770.980.990.22 short
Match win rate39.3%43.3%43.9%4.7% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMeownoldFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER8,719 · Light Blue 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

Aim61
Positioning71
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLTWWWLWLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.3pp headshot accuracy · +21ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 547ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 544ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 533ms

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 (+1.6 against its own average).

Aim6.1
Utility4.6
Positioning7.1
Opening Duels5.3
Clutch4.8

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 554ms 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

Aim6.1
Positioning7.1
Utility4.6
Mechanics4.7
Opening Duels7.6
Win Impact2.6

Composite 5.1/10 (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 rating0.03+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time547ms−25ms
first ⅓ avg 572ms → last ⅓ avg 547ms
Headshot accuracy12.9%+1.3%
first ⅓ avg 11.6% → last ⅓ avg 12.9%

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

0.29Best match rating · 9–1 · inferno, 21 Sept →
40%Best headshot accuracy · 9–4 · nuke, 9 Aug →
375msFastest reaction time · 1–9 · inferno, 26 May →
13–2Biggest win · mirage, 27 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–16In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 67% over 18cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA2514–1156%0.03
infernoC219–1243%0.01
ancientS1812–667%0.02
mirageB126–650%-0.01
cacheD93–633%0.02
overpass—44–0100%0.01
vertigo—42–250%0.01
anubis—40–40%-0.02
dust2—30–30%-0.03

Across the last 100 tracked matches.

Lifetime stats

20,639Lifetime kills
0.77K/D
1,739Matches
39.3%Match win rate
35.6%Headshot %
0.8%Shot accuracy
2,989MVPs
554Hours (in match)
1,229Bombs planted
332Bombs defused

Most-used weapons

Lifetime map wins

3,673nuke
1,987inferno
800dust2
771vertigo
339train
87office
39italy
34lake

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

Faceit stats

Combat

40Matches
42%Win rate
0.70Avg K/D
66.2ADR
30%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1443%0.7410.4
Ancient838%0.7413.6
Nuke425%0.445.5
Overpass475%1.3219.8
Inferno367%0.374.0
Anubis30%0.417.0
Vertigo367%0.386.7
Train10%1.1219.0

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.

12.8%Headshot accuracy
36.4%Accuracy (enemy spotted)
40.1%Spray accuracy
71.1%Counter-strafing
11.1°Preaim
554msReaction time
63.3%T opening success
57.3%CT opening success
0.44Enemies flashed / flash
3.3%Flash assists
9.74HE damage / grenade
9.94Flashes / 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.

  1. 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 12.8241% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4422 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.059%1 Oct →
cache15–150.0016%1 Oct →
mirage13–80.0413%1 Oct →
overpass13–60.0216%30 Sept →
ancient13–30.1810%30 Sept →
dust212–160.0214%29 Sept →
vertigo9–30.2519%28 Sept →
nuke6–13-0.098%28 Sept →
anubis14–16-0.0015%28 Sept →
nuke14–16-0.019%26 Sept →
inferno9–130.047%25 Sept →
anubis11–13-0.019%25 Sept →
cache8–10.029%25 Sept →
inferno13–80.0415%25 Sept →
vertigo1–9-0.285%25 Sept →
inferno7–90.0215%25 Sept →
inferno9–40.2520%23 Sept →
inferno9–10.2914%21 Sept →
ancient13–70.0113%18 Sept →
inferno2–13-0.1018%18 Sept →
inferno13–70.0412%18 Sept →
nuke13–9-0.0213%15 Sept →
nuke13–80.1117%14 Sept →
cache15–150.0415%14 Sept →
cache14–16-0.0220%14 Sept →
nuke4–13-0.0218%13 Sept →
nuke13–30.0713%12 Sept →
inferno10–13-0.047%12 Sept →
ancient16–130.0717%12 Sept →
ancient13–100.078%12 Sept →
nuke10–13-0.036%12 Sept →
nuke11–130.0210%9 Sept →
nuke4–130.0314%9 Sept →
nuke11–130.0122%8 Sept →
inferno3–13-0.086%8 Sept →
ancient13–90.0212%7 Sept →
nuke8–80.1314%7 Sept →
cache14–160.035%6 Sept →
dust29–13-0.0512%1 Sept →
inferno12–16-0.0712%31 Aug →
cache15–15-0.028%31 Aug →
ancient13–50.018%31 Aug →
inferno5–13-0.009%31 Aug →
inferno13–100.0113%30 Aug →
cache13–60.0619%30 Aug →
mirage4–130.0318%30 Aug →
vertigo13–70.0510%30 Aug →
mirage9–13-0.0518%17 Aug →
cache5–13-0.0216%17 Aug →
ancient13–8-0.0312%17 Aug →
nuke13–100.0112%17 Aug →
nuke9–40.1440%9 Aug →
nuke9–20.2127%1 Aug →
inferno13–10-0.006%27 Jul →
nuke11–13-0.015%27 Jul →
mirage13–2-0.0220%27 Jul →
nuke16–130.0312%23 Jul →
mirage13–7-0.020%23 Jul →
ancient13–100.0216%21 Jul →
nuke9–13-0.0513%19 Jul →
ancient13–16-0.0215%19 Jul →
cache13–110.069%19 Jul →
ancient10–13-0.0316%13 Jul →
mirage13–7-0.078%13 Jul →
ancient13–50.048%11 Jul →
inferno11–13-0.037%11 Jul →
nuke16–140.0219%5 Jul →
nuke13–50.0612%5 Jul →
ancient14–160.0114%19 Jun →
mirage8–130.0111%14 Jun →
mirage16–12-0.0211%10 Jun →
nuke13–100.0315%10 Jun →
ancient13–100.0414%10 Jun →
inferno13–90.023%10 Jun →
inferno13–70.0516%9 Jun →
overpass13–10-0.0111%8 Jun →
inferno11–13-0.005%8 Jun →
ancient13–70.039%7 Jun →
dust25–13-0.0518%7 Jun →
ancient14–16-0.0415%6 Jun →
nuke13–90.0215%6 Jun →
inferno5–13-0.036%6 Jun →
nuke13–70.0815%5 Jun →
nuke13–11-0.0217%5 Jun →
overpass13–50.0411%4 Jun →
ancient5–13-0.082%4 Jun →
ancient9–130.0115%26 May →
vertigo7–90.018%26 May →
inferno1–9-0.2211%26 May →
anubis4–13-0.0216%25 May →
mirage13–6-0.064%25 May →
inferno11–130.026%22 May →
anubis3–13-0.033%22 May →
mirage10–130.095%11 May →
overpass16–14-0.0214%11 May →
nuke9–20.0829%11 May →
mirage6–120.0128%11 May →
ancient13–70.0214%11 May →
nuke9–130.039%10 May →
inferno13–8-0.044%10 May →

Match data via Leetify.

Recent teammates

Milestones

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

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