Metta World ☮

Metta World ☮ — CS2 Stats

US76561199071793192[U:1:1111527464]Steam profile ↗✓ No bans

1,883Tracked matches48%Win rate2022Tracked since
CSDB Rating4.4 DevelopingSupport
Premier CS Rating10,410Blue band · top ~52.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (14 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: 10,410 +4,662 11 Jun – 15 Oct · 27 days played
5,74810,410peak 10,41011 Jun15 Oct
10,410Peak Premier in tracked matches
47Days played since 2026-06-11

Premier CS Rating

  • At peak — 10,410
  • +601 over 30 days · improving
  • +3,455 over 90 days
  • Next: Purple band at 15,000 — 4,590 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-17

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

Share this profile

CSDB.GGMetta World ☮PREMIER10,410 · Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning45
Utility50

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLWLLLLWWLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −0.2pp headshot accuracy · +66ms 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 -0.08
  • Avg headshot accuracy 10%
  • Avg reaction 652ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 620ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 587ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim5.2
Utility5.0
Positioning4.5
Opening Duels0.2
Clutch2.4

Limited 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

iM

Plays most like iM 74% 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

Areas to improve

Reaction time. 560ms 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

Aim5.2
Positioning4.5
Utility5.0
Mechanics6.1
Opening Duels0.5
Win Impact4.4

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time571ms−44ms
first ⅓ avg 615ms → last ⅓ avg 571ms
Headshot accuracy12.0%−2.0%
first ⅓ avg 14.1% → last ⅓ avg 12.0%

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

0.09Best match rating · 13–7 · nuke, 16 Jul →
42%Best headshot accuracy · 5–13 · vertigo, 23 Sept →
391msFastest reaction time · 6–3 · cache, 7 Jul →
13–1Biggest win · cache, 28 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 62% over 13ancientWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeB2312–1152%-0.02
infernoC177–1041%-0.02
ancientD165–1131%-0.03
anubisA138–562%-0.02
vertigoC104–640%-0.02
mirageC83–538%-0.02
cacheA53–260%-0.02
dust2—43–175%-0.02
office—21–150%-0.04
italy—10–10%-0.02
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

57Matches
37%Win rate
0.80Avg K/D
61.8ADR
33%Headshot %

Clutches & streaks

32%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1354%0.9213.5
Inferno1225%0.7310.1
Nuke1040%0.9111.6
Ancient90%0.579.1
Vertigo333%0.9213.0
Dust2367%0.839.7
Mirage250%0.9814.0

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.

11.8%Headshot accuracy
33.2%Accuracy (enemy spotted)
32.8%Spray accuracy
77.5%Counter-strafing
11.4°Preaim
560msReaction time
28.4%T opening success
34.2%CT opening success
0.54Enemies flashed / flash
5.9%Flash assists
10.41HE damage / grenade
4.80Flashes / 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 11.8389% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.4189% — below the 40% mark we flag

Spend your practice time on Ancient

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.047%23 Oct →
mirage13–11-0.0314%15 Oct →
ancient4–13-0.086%14 Oct →
vertigo11–13-0.0623%14 Oct →
nuke2–9-0.220%14 Oct →
inferno2–9-0.0912%14 Oct →
nuke13–80.0412%9 Oct →
vertigo13–30.000%23 Sept →
vertigo5–13-0.0442%23 Sept →
vertigo8–13-0.036%18 Sept →
anubis10–13-0.0510%18 Sept →
nuke13–11-0.0520%18 Sept →
inferno7–13-0.0115%14 Sept →
vertigo2–10-0.110%14 Sept →
anubis13–10-0.038%9 Sept →
ancient5–13-0.0311%9 Sept →
ancient13–5-0.0219%4 Sept →
nuke11–130.0110%3 Sept →
nuke15–150.0213%1 Sept →
cache13–1-0.0218%28 Aug →
dust213–9-0.037%19 Aug →
nuke7–13-0.0817%19 Aug →
anubis19–170.0211%19 Aug →
mirage13–70.039%17 Aug →
ancient11–13-0.082%17 Aug →
office13–10-0.0218%15 Aug →
ancient9–13-0.058%13 Aug →
inferno13–70.018%13 Aug →
nuke1–13-0.0612%13 Aug →
dust213–30.0315%13 Aug →
vertigo13–40.0211%12 Aug →
nuke8–13-0.053%12 Aug →
cache4–13-0.0132%12 Aug →
anubis4–13-0.0612%12 Aug →
nuke13–10-0.0710%12 Aug →
nuke16–13-0.027%12 Aug →
nuke8–13-0.0315%6 Aug →
inferno13–5-0.0019%31 Jul →
anubis13–90.0517%30 Jul →
ancient13–3-0.0015%30 Jul →
anubis13–11-0.019%30 Jul →
nuke13–7-0.089%29 Jul →
ancient13–9-0.0313%29 Jul →
inferno5–13-0.0620%29 Jul →
nuke13–80.0121%29 Jul →
ancient13–70.0511%28 Jul →
anubis13–6-0.0424%26 Jul →
ancient14–16-0.0611%26 Jul →
inferno10–13-0.018%26 Jul →
inferno14–16-0.0112%26 Jul →
anubis13–40.0814%26 Jul →
cache4–13-0.0314%26 Jul →
mirage8–13-0.0312%25 Jul →
anubis13–8-0.019%24 Jul →
ancient3–13-0.0012%24 Jul →
ancient5–13-0.0915%24 Jul →
nuke13–80.0815%23 Jul →
ancient10–13-0.0310%23 Jul →
cache13–70.014%21 Jul →
inferno9–13-0.1020%21 Jul →
inferno11–13-0.0410%21 Jul →
nuke13–110.0416%18 Jul →
inferno10–13-0.0117%18 Jul →
anubis7–13-0.089%17 Jul →
nuke13–50.045%17 Jul →
mirage9–130.037%17 Jul →
inferno13–160.0412%17 Jul →
inferno13–100.0116%17 Jul →
nuke13–70.0911%16 Jul →
ancient5–13-0.0810%16 Jul →
ancient13–10.0525%16 Jul →
nuke11–130.019%15 Jul →
nuke8–13-0.0311%15 Jul →
mirage13–7-0.0515%14 Jul →
anubis13–5-0.0010%14 Jul →
nuke10–13-0.0028%10 Jul →
inferno4–2-0.040%10 Jul →
office9–13-0.0510%8 Jul →
italy12–12-0.023%7 Jul →
cache6–3-0.038%7 Jul →
vertigo13–90.0227%7 Jul →
mirage5–13-0.0920%7 Jul →
dust213–5-0.0317%3 Jul →
inferno13–80.0617%1 Jul →
vertigo5–13-0.0717%1 Jul →
anubis8–13-0.1110%29 Jun →
ancient2–13-0.074%29 Jun →
ancient8–130.035%25 Jun →
vertigo13–10-0.0117%25 Jun →
anubis10–13-0.032%25 Jun →
inferno13–50.006%24 Jun →
mirage13–160.0325%22 Jun →
nuke15–15-0.0222%20 Jun →
inferno13–8-0.0527%20 Jun →
vertigo11–130.0215%19 Jun →
mirage7–13-0.0415%18 Jun →
nuke13–30.0328%17 Jun →
nuke13–3-0.0415%15 Jun →
inferno5–13-0.1113%11 Jun →
overpass13–8-0.016%11 Jun →

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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