Bülbül

Bülbül — CS2 Stats

TR76561199054691127[U:1:1094425399]Steam profile ↗✓ No bans

857Tracked matches52%Win rate2022Tracked since
1,912Hours in CS3Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating13,754Blue band · top ~35% of ranked players (population est.)
FaceitLevel 7 · 1,219 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 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: 13,754 -1,143 2 Oct – 31 Oct · 7 days played
13,75414,897peak 14,8972 Oct31 Oct
Faceit ELO: 1,219 +0 3 Sept – 17 Sept · 2 observations
1,2191,219peak 1,2193 Sept17 Sept
14,999Peak Premier in tracked matches
1,219Highest Faceit ELO seen on CSDB
31Days played since 2026-09-03

Faceit ELO

  • At peak — 1,219
  • Next: Level 7 at 1,351 — 132 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-03
  • Level 5 first seen 2026-09-03

Premier CS Rating

  • 1,143 below peak (14,897)
  • -1,143 over 30 days · declining
  • Next: Purple band at 15,000 — 1,246 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. 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 Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate52.7%45.7%46.8%above
Shot accuracy4.8%12.7%13.0%8.2% short
Kill/death ratio1.121.051.06above
Match win rate47.3%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBülbülFACEITLevel 7 · 1,219 ELOSTANDINGTop 42.3% of rankedPREMIER13,754 · Blue bandPEAK ELO1,219csdb.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

Aim68
Positioning68
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY43–45–12Last 10043%Win rateWLLLWLLLWW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +1.3pp headshot accuracy · −9ms reaction

Win rate down 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 29%
  • Avg reaction 517ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 30%
  • Avg reaction 516ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 29%
  • Avg reaction 520ms

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 (+1.3 against its own average).

Aim6.8
Utility6.2
Positioning6.8
Opening Duels5.3
Clutch3.8

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

jL

Plays most like jL 85% 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 51% on CT — first contacts on the defending side are being lost.

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

Aim6.8
Positioning6.8
Utility6.2
Mechanics4.6
Opening Duels7.2
Win Impact5.6

Composite 6.0/10 (Solid), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time536ms+11ms
first ⅓ avg 525ms → last ⅓ avg 536ms
Headshot accuracy25.4%+4.0%
first ⅓ avg 21.4% → last ⅓ avg 25.4%

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

0.19Best match rating · 13–3 · nuke, 8 Oct →
50%Best headshot accuracy · 0–6 · inferno, 14 Oct →
281msFastest reaction time · 0–8 · ancient, 5 Oct →
13–0Biggest win · anubis, 14 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 60% over 5ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2410–1442%0.02
dust2B2211–1150%0.04
mirageC166–1038%0.01
anubisB136–746%0.02
ancientD82–625%0.01
cacheD72–529%0.05
trainA53–260%0.07
nukeA53–260%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,754Lifetime kills
1.12K/D · Top 50% of Level 7 players
3,177Matches
47.3%Match win rate · Top 50% of Level 7 players
52.7%Headshot % · Top 25% of Level 7 players
4.8%Shot accuracy
5,173MVPs
1,063Hours (in match)
3,070Bombs planted
437Bombs defused

Most-used weapons

AK-4716,669
MAC-102,073
AWP1,669
FAMAS1,578
MP91,488

Lifetime map wins

9,555dust2
3,821inferno
1,273nuke
999office
703vertigo
368train
189italy
171assault

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

Faceit stats

Combat

330Matches
51%Win rate
1.12Avg K/D
82.4ADR
53%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust210352%1.1716.4
Inferno6652%1.1417.2
Mirage5751%1.0815.7
Anubis5240%1.0215.3
Nuke1856%1.0516.7
Ancient1553%1.0115.3
Overpass1070%1.4415.4
Cache944%1.1116.2

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.

25.9%Headshot accuracy
30.7%Accuracy (enemy spotted)
32.5%Spray accuracy
70.8%Counter-strafing
9.8°Preaim
538msReaction time
66.7%T opening success
50.6%CT opening success
0.54Enemies flashed / flash
6.1%Flash assists
11.86HE damage / grenade
8.08Flashes / match

Recommended for you

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–13-0.0130%31 Oct →
mirage11–130.1136%31 Oct →
mirage6–13-0.0722%30 Oct →
dust27–130.0123%30 Oct →
anubis13–90.0134%30 Oct →
dust23–13-0.0134%28 Oct →
cache9–13-0.0522%28 Oct →
mirage5–13-0.0036%28 Oct →
inferno13–70.0723%27 Oct →
train13–10.1135%26 Oct →
dust213–20.1033%26 Oct →
dust213–60.0230%26 Oct →
dust212–12-0.0428%25 Oct →
dust213–110.0932%25 Oct →
anubis13–80.0324%24 Oct →
anubis13–100.0825%24 Oct →
ancient1–13-0.0125%23 Oct →
nuke1–130.0029%23 Oct →
cache9–130.0923%22 Oct →
mirage13–100.0433%22 Oct →
mirage13–90.0614%21 Oct →
cache13–30.0819%21 Oct →
cache10–130.0516%18 Oct →
inferno7–130.0328%18 Oct →
train13–10.1035%16 Oct →
mirage1–13-0.1729%16 Oct →
nuke13–6-0.0422%16 Oct →
anubis8–130.0319%15 Oct →
inferno13–110.0011%15 Oct →
inferno6–130.0118%15 Oct →
anubis3–130.0213%15 Oct →
train8–13-0.0222%15 Oct →
dust213–80.1415%14 Oct →
anubis13–00.0627%14 Oct →
anubis5–130.0528%14 Oct →
ancient8–130.0237%14 Oct →
inferno13–50.0532%14 Oct →
inferno0–6-0.0650%14 Oct →
anubis13–2-0.009%14 Oct →
ancient13–110.1524%14 Oct →
cache1–13-0.0522%13 Oct →
anubis4–130.0037%13 Oct →
dust212–120.0722%13 Oct →
anubis10–13-0.0621%12 Oct →
inferno12–120.0628%12 Oct →
inferno13–110.0117%12 Oct →
inferno2–13-0.0636%11 Oct →
dust28–80.0525%10 Oct →
inferno12–120.0419%9 Oct →
nuke13–30.1925%8 Oct →
dust213–100.1131%8 Oct →
inferno12–120.0321%8 Oct →
anubis12–12-0.0127%8 Oct →
ancient13–60.0316%7 Oct →
anubis13–80.0224%7 Oct →
inferno13–70.0317%7 Oct →
inferno12–12-0.0121%7 Oct →
cache13–00.1225%7 Oct →
inferno13–50.0935%7 Oct →
dust213–9-0.0111%7 Oct →
train12–120.0921%7 Oct →
train13–40.0631%7 Oct →
ancient0–8-0.1150%5 Oct →
ancient7–13-0.0025%5 Oct →
inferno5–130.0719%4 Oct →
dust212–120.0413%4 Oct →
dust213–110.0717%4 Oct →
ancient12–120.0026%4 Oct →
dust23–13-0.0433%3 Oct →
inferno12–160.0226%2 Oct →
inferno13–5-0.0120%2 Oct →
inferno13–110.0420%2 Oct →
dust213–80.0226%2 Oct →
dust210–130.0417%2 Oct →
inferno13–70.0332%2 Oct →
mirage6–00.0618%2 Oct →
inferno13–80.0222%2 Oct →
nuke12–16-0.0324%2 Oct →
dust213–40.1231%30 Sept →
mirage8–130.0023%30 Sept →
mirage6–130.0528%29 Sept →
dust213–3-0.053%29 Sept →
inferno7–130.0417%29 Sept →
mirage11–13-0.0919%29 Sept →
dust210–130.0221%28 Sept →
inferno11–130.0320%28 Sept →
dust27–13-0.0418%27 Sept →
mirage6–130.0018%27 Sept →
inferno10–130.0221%27 Sept →
nuke13–90.0526%27 Sept →
anubis10–130.0422%27 Sept →
dust29–130.0420%26 Sept →
ancient15–15-0.0321%26 Sept →
mirage13–2-0.0621%26 Sept →
mirage1–13-0.036%26 Sept →
inferno5–13-0.0018%26 Sept →
mirage13–50.1213%26 Sept →
cache12–120.1018%26 Sept →
dust29–130.0926%26 Sept →
mirage9–130.1034%25 Sept →

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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