ta muito facil

ta muito facil — CS2 Stats

BR76561198069569054[U:1:109303326]Steam profile ↗✓ No bans

721Tracked matches47%Win rate2021Tracked since
CSDB Rating4.1 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (58 days ago). Ranks are recorded once per day this page is viewed.

+42Tracked matches · now 721
+3.3ppWin rate · 43.3% → 46.7%

Rating over time

32Days played since 2026-06-04

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim47
Positioning34
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLWLWLWLWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.1pp headshot accuracy · +8ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 625ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 655ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 651ms

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 (+3.4 against its own average).

Aim4.7
Utility5.8
Positioning3.4
Opening Duels0.3
Clutch0.0

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 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 642ms 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

Aim4.7
Positioning3.4
Utility5.8
Mechanics4.9
Opening Duels0.0
Win Impact3.9

Composite 4.1/10 (Developing), 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 rating-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time637ms−67ms
first ⅓ avg 704ms → last ⅓ avg 637ms
Headshot accuracy19.4%+0.3%
first ⅓ avg 19.1% → last ⅓ avg 19.4%

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

0.08Best match rating · 13–7 · inferno, 8 Oct →
39%Best headshot accuracy · 7–13 · inferno, 16 Jul →
445msFastest reaction time · 11–13 · inferno, 27 Aug →
13–1Biggest win · overpass, 29 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–11In matches decided by ≤2 rounds
15Overtime games

Map breakdown

overpassBest map · 83% over 6dust2Weakest map · 35% over 23
MapGradePlayedRecordWin rateAvg rating
dust2C238–1535%-0.04
infernoB209–1145%-0.03
mirageB168–850%-0.03
nukeB137–654%-0.04
cacheC104–640%-0.02
anubisC73–443%-0.02
overpassS65–183%-0.01
ancientS54–180%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
50%Win rate
0.40Avg K/D
36.6ADR
25%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21100%0.606.0
Nuke10%0.214.0

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.

19.7%Headshot accuracy
31.8%Accuracy (enemy spotted)
30.4%Spray accuracy
72.3%Counter-strafing
11.2°Preaim
642msReaction time
29.7%T opening success
28.0%CT opening success
0.64Enemies flashed / flash
5.7%Flash assists
10.20HE damage / grenade
11.79Flashes / 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. 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 29.7417% — below the 40% mark we flag

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.

35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0521%29 Oct →
overpass13–10.0121%29 Oct →
dust210–13-0.0216%29 Oct →
mirage13–50.0323%29 Oct →
inferno9–13-0.0423%29 Oct →
dust213–5-0.0525%28 Oct →
inferno6–13-0.068%22 Oct →
nuke13–11-0.0125%22 Oct →
cache13–7-0.0023%22 Oct →
mirage13–6-0.0411%22 Oct →
mirage9–13-0.0928%17 Oct →
ancient13–7-0.0212%17 Oct →
dust213–10-0.0227%17 Oct →
inferno10–13-0.0620%17 Oct →
dust27–13-0.0624%15 Oct →
inferno13–7-0.0719%15 Oct →
cache13–70.0115%15 Oct →
mirage7–13-0.0118%15 Oct →
dust24–13-0.0723%14 Oct →
inferno5–10-0.0511%14 Oct →
cache11–130.0212%8 Oct →
dust26–13-0.0516%8 Oct →
inferno13–70.0823%8 Oct →
dust211–13-0.0319%8 Oct →
mirage16–19-0.0620%1 Oct →
dust219–16-0.0125%1 Oct →
cache13–30.0314%1 Oct →
inferno10–13-0.0015%1 Oct →
nuke13–8-0.0129%1 Oct →
dust213–16-0.0519%24 Sept →
mirage13–60.0517%24 Sept →
dust214–16-0.0723%24 Sept →
cache13–16-0.1018%24 Sept →
inferno13–10-0.0522%17 Sept →
dust213–70.0231%17 Sept →
overpass13–11-0.0613%17 Sept →
ancient13–8-0.0114%17 Sept →
inferno7–130.0129%16 Sept →
ancient13–10-0.0622%10 Sept →
dust29–13-0.0713%10 Sept →
cache10–13-0.0419%10 Sept →
mirage4–13-0.1015%10 Sept →
mirage11–13-0.0419%3 Sept →
dust213–6-0.0733%3 Sept →
cache5–13-0.0513%3 Sept →
overpass4–13-0.0616%3 Sept →
nuke9–13-0.0233%2 Sept →
dust211–13-0.0613%27 Aug →
inferno11–13-0.0522%27 Aug →
cache7–13-0.0420%27 Aug →
nuke9–13-0.0518%27 Aug →
anubis13–9-0.0221%20 Aug →
mirage8–130.0015%20 Aug →
nuke4–13-0.096%20 Aug →
inferno13–5-0.0020%19 Aug →
nuke13–3-0.095%13 Aug →
inferno13–4-0.0327%13 Aug →
nuke6–2-0.0720%13 Aug →
dust25–13-0.0525%13 Aug →
mirage16–14-0.0323%13 Aug →
anubis8–13-0.0215%12 Aug →
mirage13–4-0.0515%6 Aug →
cache9–13-0.0618%6 Aug →
inferno13–7-0.0114%6 Aug →
anubis16–19-0.0526%6 Aug →
nuke10–130.0020%5 Aug →
anubis11–13-0.0024%30 Jul →
nuke13–9-0.0618%30 Jul →
ancient13–5-0.0219%30 Jul →
overpass13–80.0230%30 Jul →
dust23–13-0.116%30 Jul →
inferno13–9-0.045%29 Jul →
dust217–19-0.0414%23 Jul →
cache13–9-0.0133%23 Jul →
anubis13–40.0019%23 Jul →
mirage8–13-0.076%23 Jul →
dust27–13-0.0735%23 Jul →
nuke13–110.0423%23 Jul →
overpass13–70.0217%23 Jul →
inferno16–12-0.0415%22 Jul →
inferno7–13-0.0939%16 Jul →
mirage13–9-0.0618%16 Jul →
nuke8–13-0.0714%16 Jul →
dust210–130.0329%15 Jul →
overpass13–80.0127%15 Jul →
nuke13–40.0328%2 Jul →
ancient6–13-0.0816%2 Jul →
anubis19–17-0.0217%2 Jul →
inferno13–100.0217%2 Jul →
dust217–19-0.0630%1 Jul →
mirage17–19-0.0522%18 Jun →
dust216–13-0.0815%18 Jun →
inferno16–19-0.0413%18 Jun →
dust216–13-0.0411%11 Jun →
mirage13–11-0.0216%11 Jun →
nuke11–13-0.0619%11 Jun →
inferno12–12-0.0413%11 Jun →
mirage13–9-0.0112%4 Jun →
dust213–60.0119%4 Jun →
inferno5–13-0.0215%4 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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