¿a kto kto kto?

¿a kto kto kto? — CS2 Stats

TD76561198071187867[U:1:110922139]Steam profile ↗VAC banned

483Tracked matches50%Win rate2020Tracked since
1,562Hours in CS
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating19,992Top 50% of 175,286 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#75483 of 222096 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (4 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 11 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,992 -575 11 Jun17 Sept · 34 days played
17,22621,520peak 21,52011 Jun17 Sept
21,835Peak Premier in tracked matches
35Days played since 2026-06-11

Premier CS Rating

  • 1,528 below peak (21,520)
  • -8 over 30 days · steady
  • +508 over 90 days
  • Next: Pink band at 20,000 8 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=34,112), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate37.5%44.3%47.0%9.5% short
Shot accuracy15.0%11.8%13.0%above
Kill/death ratio1.001.031.080.08 short
Match win rate45.3%45.2%46.7%1.3% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG¿a kto kto kto?PREMIER19,992 · Purple bandcsdb.gg/stats

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Performance scores

Aim42
Positioning61
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateWWWLWWLLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +3.2pp headshot accuracy · +1ms 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

  • 41 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 550ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 548ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 548ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim4.2
Utility5.3
Positioning6.1
Opening Duels3.4
Clutch3.6

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 67% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 559ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning6.1
Utility5.3
Mechanics3.0
Opening Duels3.7
Win Impact5.0

Composite 4.6/10 (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 rating0.01+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time575ms−26ms
first ⅓ avg 601ms → last ⅓ avg 575ms
Headshot accuracy12.2%−2.1%
first ⅓ avg 14.4% → last ⅓ avg 12.2%

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

0.13Best match rating · 13–10 · dust2, 27 Jul
25%Best headshot accuracy · 13–1 · ancient, 21 Jun
375msFastest reaction time · 6–13 · inferno, 25 Aug
13–1Biggest win · ancient, 21 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
87In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 52% over 27ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B30151550%-0.01
mirageB27141352%-0.01
infernoB20101050%-0.01
cacheD72529%-0.00
nukeD72529%0.00
ancientD61517%-0.05
shelter1010%0.03
anubis110100%0.04
overpass1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,593Lifetime kills
1.00K/D
3,972Matches
45.3%Match win rate · Top 50% of Purple band
37.5%Headshot %
15.0%Shot accuracy · Top 50% of Purple band
9,664MVPs
1,562Hours (in match)
2,573Bombs planted
587Bombs defused

Most-used weapons

AK-4717,145
AWP10,589
P2502,503
MAC-102,414
SSG 081,925
MP91,902

Lifetime map wins

12,833dust2
6,627inferno
2,540nuke
236train
108dust
103vertigo
93cbble
79lake

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

Faceit stats

Combat

114Matches
47%Win rate
1.08Avg K/D
88.2ADR
35%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3465%1.1017.0
Dust21747%1.1218.4
Nuke922%1.1417.8
Inferno743%1.1816.9
Anubis540%0.9213.0
Ancient30%0.9916.0
Train10%0.8814.0

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.

12.0%Headshot accuracy
30.4%Accuracy (enemy spotted)
36.5%Spray accuracy
63.7%Counter-strafing
10.6°Preaim
559msReaction time
46.3%T opening success
42.9%CT opening success
0.62Enemies flashed / flash
3.1%Flash assists
9.91HE damage / grenade
4.69Flashes / 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 12.0255% — below the 15% mark we flag

    Aim Training
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–90.0420%13 Sept
mirage13–100.0415%13 Sept
mirage13–90.019%12 Sept
ancient7–13-0.0812%11 Sept
dust213–6-0.0321%11 Sept
mirage13–60.0418%11 Sept
inferno11–13-0.0014%10 Sept
inferno6–130.015%26 Aug
dust213–100.007%26 Aug
inferno6–13-0.0314%25 Aug
ancient9–13-0.017%25 Aug
dust213–70.049%24 Aug
mirage2–13-0.098%24 Aug
inferno13–60.0813%24 Aug
ancient8–130.0110%20 Aug
mirage13–50.0218%20 Aug
cache11–130.0210%19 Aug
nuke13–100.0910%19 Aug
mirage13–60.046%19 Aug
ancient6–13-0.0813%18 Aug
mirage6–13-0.0310%18 Aug
mirage13–160.0214%17 Aug
inferno4–13-0.059%17 Aug
mirage13–60.0316%17 Aug
dust210–13-0.0113%2 Aug
inferno0–13-0.074%2 Aug
cache5–130.0114%31 Jul
inferno13–8-0.0117%31 Jul
nuke13–60.0412%30 Jul
dust213–110.0411%30 Jul
dust213–70.0620%30 Jul
mirage13–10-0.0016%30 Jul
dust213–50.0410%30 Jul
mirage15–15-0.0211%29 Jul
dust213–80.0211%29 Jul
inferno9–13-0.057%29 Jul
cache8–13-0.0315%28 Jul
mirage13–90.0810%28 Jul
mirage5–13-0.0915%27 Jul
inferno13–10-0.0116%27 Jul
mirage13–40.0414%27 Jul
dust213–100.1316%27 Jul
dust211–13-0.0610%27 Jul
cache9–13-0.0311%24 Jul
dust215–15-0.0810%24 Jul
dust29–13-0.0511%14 Jul
dust27–13-0.0011%14 Jul
cache13–110.036%14 Jul
nuke11–13-0.085%14 Jul
mirage13–100.0110%14 Jul
mirage4–13-0.0218%13 Jul
mirage13–10-0.0112%11 Jul
cache13–60.0512%11 Jul
dust21–13-0.0213%11 Jul
nuke6–130.0719%11 Jul
mirage13–50.0817%10 Jul
inferno13–80.035%10 Jul
dust213–90.0618%10 Jul
mirage2–13-0.090%10 Jul
shelter2–130.0323%10 Jul
mirage5–13-0.058%10 Jul
dust213–110.0112%9 Jul
dust213–7-0.0119%9 Jul
mirage13–110.0212%9 Jul
inferno13–8-0.056%9 Jul
anubis13–40.0412%9 Jul
cache4–13-0.0613%9 Jul
nuke11–13-0.0314%2 Jul
inferno6–13-0.0613%1 Jul
dust25–130.0118%27 Jun
inferno16–14-0.019%25 Jun
mirage11–13-0.0018%25 Jun
dust26–13-0.0416%25 Jun
dust213–10-0.0416%23 Jun
dust25–130.0222%23 Jun
inferno10–13-0.0211%23 Jun
mirage16–13-0.0115%23 Jun
inferno10–13-0.095%22 Jun
ancient9–13-0.0216%22 Jun
inferno10–13-0.029%22 Jun
nuke15–15-0.0215%22 Jun
dust213–11-0.0611%21 Jun
dust211–13-0.0418%21 Jun
ancient13–1-0.1425%21 Jun
mirage15–15-0.0219%21 Jun
mirage3–13-0.0510%17 Jun
inferno13–110.0510%17 Jun
inferno5–60.0415%17 Jun
dust27–13-0.0917%17 Jun
dust29–13-0.0216%17 Jun
nuke8–13-0.0421%17 Jun
dust27–13-0.068%16 Jun
dust213–7-0.0416%16 Jun
dust28–130.0016%16 Jun
overpass7–13-0.0419%13 Jun
mirage3–13-0.046%13 Jun
dust213–6-0.0812%12 Jun
inferno16–12-0.0510%12 Jun
mirage12–16-0.0514%11 Jun
dust23–130.0216%11 Jun

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 →