Burka

Burka — CS2 Stats

76561199685319671[U:1:1725053943]Steam profile ↗✓ No bans

1,664Tracked matches39%Win rate2024Tracked since
3,262Hours in CS18Hrs last 2 wks
CSDB Rating3.1 LearningSupport
Premier CS Rating13,018Blue band · top ~38.9% of ranked players (population est.)
FaceitLevel 4 · 815 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (6 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: 13,018 +2,538 30 Aug – 26 Sept · 18 days played
8,69216,882peak 16,88230 Aug26 Sept
16,916Peak Premier in tracked matches
815Highest Faceit ELO seen on CSDB
18Days played since 2026-08-30

Faceit ELO

  • At peak — 815
  • Next: Level 4 at 901 — 86 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 3,864 below peak (16,882)
  • +2,538 over 30 days · improving
  • Next: Purple band at 15,000 — 1,982 to go
  • Reached: Purple band · 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 4 among CSDB-tracked players (n=13,989), 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 4 medianLevel 5 medianvs Level 5
Headshot rate36.8%42.7%43.8%7.0% short
Shot accuracy0.0%11.3%12.0%12.0% short
Kill/death ratio0.910.991.020.11 short
Match win rate46.8%43.9%44.7%above

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBurkaFACEITLevel 4 · 815 ELOSTANDINGTop 81.0% of rankedPREMIER13,018 · Blue bandPEAK ELO815csdb.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

Aim32
Positioning41
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLWWLLLLLWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −6.5pp headshot accuracy · +46ms reaction

Win rate up 30pp 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 -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 633ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 690ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 667ms

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 (+2.3 against its own average).

Aim3.2
Utility5.4
Positioning4.1
Opening Duels0.1
Clutch3.0

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

Twistzz

Plays most like Twistzz 62% 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. 628ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.2
Positioning4.1
Utility5.4
Mechanics3.0
Opening Duels0.9
Win Impact1.4

Composite 3.1/10 (Learning), 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 time636ms+11ms
first ⅓ avg 624ms → last ⅓ avg 636ms
Headshot accuracy15.1%−4.3%
first ⅓ avg 19.4% → last ⅓ avg 15.1%

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

0.24Best match rating · 13–1 · inferno, 5 Sept →
55%Best headshot accuracy · 13–11 · nuke, 2 Sept →
383msFastest reaction time · 4–13 · inferno, 1 Sept →
13–1Biggest win · inferno, 5 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
10–2In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 64% over 14mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC219–1243%0.01
ancientA169–756%-0.00
dust2B157–847%-0.02
mirageC145–936%-0.01
cacheA149–564%-0.01
anubisA116–555%-0.00
nukeC94–544%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,884Lifetime kills
0.91K/D
3,666Matches
46.8%Match win rate · Top 50% of Level 4 players
36.8%Headshot %
0.0%Shot accuracy
6,535MVPs
1,496Hours (in match)
4,793Bombs planted
765Bombs defused

Most-used weapons

AK-4713,071
AWP10,187
P902,522
MP91,521
MP71,456

Lifetime map wins

7,005dust2
5,458inferno
4,174nuke
918vertigo
912train
278office
188italy
3ar_shoots

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

Faceit stats

Combat

63Matches
49%Win rate
1.01Avg K/D
73.8ADR
34%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1560%0.8012.0
Nuke1450%1.0111.1
Ancient1127%0.7911.8
Dust21060%1.3814.1
Inferno580%1.0814.0
Anubis450%1.4819.8
Vertigo20%1.0418.0
Train10%0.9313.0

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.

15.0%Headshot accuracy
26.8%Accuracy (enemy spotted)
28.5%Spray accuracy
63.3%Counter-strafing
9.5°Preaim
628msReaction time
36.1%T opening success
31.5%CT opening success
0.62Enemies flashed / flash
1.9%Flash assists
7.70HE damage / grenade
11.11Flashes / 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 36.1111% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–160.0114%26 Sept →
anubis13–90.016%25 Sept →
dust213–11-0.045%25 Sept →
nuke1–13-0.1026%20 Sept →
inferno8–130.0112%20 Sept →
ancient5–13-0.019%19 Sept →
dust25–13-0.1116%19 Sept →
dust29–13-0.058%19 Sept →
cache13–11-0.068%19 Sept →
inferno13–90.0316%19 Sept →
dust25–13-0.0217%18 Sept →
anubis7–13-0.0628%14 Sept →
mirage12–16-0.0522%14 Sept →
ancient15–15-0.0113%14 Sept →
anubis15–15-0.0717%13 Sept →
cache4–13-0.1112%13 Sept →
cache10–13-0.0716%13 Sept →
mirage1–13-0.0718%13 Sept →
inferno10–13-0.0417%13 Sept →
cache16–13-0.0625%13 Sept →
inferno13–11-0.0318%13 Sept →
mirage10–13-0.085%13 Sept →
nuke10–13-0.0922%13 Sept →
cache13–6-0.0211%13 Sept →
anubis9–130.0112%13 Sept →
anubis16–14-0.0217%12 Sept →
inferno13–40.0621%12 Sept →
ancient13–110.0817%11 Sept →
mirage13–2-0.0116%11 Sept →
inferno11–13-0.049%11 Sept →
mirage13–16-0.0216%10 Sept →
ancient13–8-0.0311%10 Sept →
anubis10–13-0.1020%10 Sept →
mirage16–13-0.0214%10 Sept →
nuke8–13-0.0914%9 Sept →
ancient13–7-0.0616%9 Sept →
dust213–8-0.0611%9 Sept →
mirage13–9-0.0817%9 Sept →
ancient2–130.0119%6 Sept →
mirage15–150.0414%6 Sept →
nuke13–80.1530%6 Sept →
anubis13–30.1320%6 Sept →
inferno13–80.0837%6 Sept →
dust213–50.1047%6 Sept →
cache13–40.1226%6 Sept →
anubis13–60.0819%6 Sept →
cache10–130.0233%6 Sept →
ancient5–130.0016%6 Sept →
inferno13–80.0515%5 Sept →
nuke5–1-0.0125%5 Sept →
mirage13–110.0917%5 Sept →
cache13–40.1216%5 Sept →
inferno13–10.2414%5 Sept →
dust213–20.0438%5 Sept →
ancient13–10.0718%5 Sept →
inferno13–90.0936%5 Sept →
dust213–90.0518%5 Sept →
ancient10–13-0.0622%3 Sept →
mirage13–30.1422%3 Sept →
inferno13–110.0724%3 Sept →
anubis13–60.0521%3 Sept →
ancient9–130.0123%3 Sept →
dust22–13-0.0322%3 Sept →
nuke9–13-0.0110%3 Sept →
inferno0–13-0.0436%3 Sept →
dust213–10-0.0218%3 Sept →
inferno13–40.0823%3 Sept →
mirage4–13-0.0624%3 Sept →
ancient13–80.0117%3 Sept →
nuke13–9-0.0617%3 Sept →
inferno8–13-0.0612%3 Sept →
ancient13–30.0614%3 Sept →
inferno4–13-0.0727%2 Sept →
anubis3–13-0.0110%2 Sept →
cache15–15-0.0410%2 Sept →
dust213–40.0120%2 Sept →
mirage10–13-0.0416%2 Sept →
inferno3–13-0.0620%2 Sept →
nuke13–11-0.0755%2 Sept →
cache13–40.0212%2 Sept →
ancient13–11-0.0223%2 Sept →
dust27–13-0.0830%2 Sept →
ancient13–11-0.0611%2 Sept →
cache13–50.0314%2 Sept →
inferno7–13-0.0226%2 Sept →
inferno10–13-0.0416%2 Sept →
ancient11–13-0.0217%2 Sept →
anubis13–7-0.0516%2 Sept →
dust29–130.0314%1 Sept →
dust25–13-0.0313%1 Sept →
cache3–13-0.0817%1 Sept →
ancient13–40.0020%1 Sept →
inferno4–130.0621%1 Sept →
dust24–13-0.0431%31 Aug →
inferno2–13-0.0523%30 Aug →
nuke10–13-0.0214%30 Aug →
mirage5–130.0424%30 Aug →
cache13–100.0631%30 Aug →
inferno10–13-0.0122%30 Aug →
cache16–13-0.044%30 Aug →

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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