Bubble Killer

Bubble Killer — CS2 Stats

US76561199226015522[U:1:1265749794]Steam profile ↗✓ No bans

2,378Tracked matches39%Win rate2022Tracked since
1,868Hours in CS17Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating19,999Top 50% of 201,197 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#81228 of 248308 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

+119Premier CS Rating · 19,880 → 19,999

Rating over time

Premier CS Rating: 19,999 -1,223 20 May – 3 Oct · 26 days played
18,69421,380peak 21,38020 May3 Oct
21,595Peak Premier in tracked matches
1,134Highest Faceit ELO seen on CSDB
34Days played since 2026-05-20

Faceit ELO

  • At peak — 1,134
  • Next: Level 6 at 1,201 — 67 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-09
  • Level 4 first seen 2026-09-09

Premier CS Rating

  • 1,381 below peak (21,380)
  • +215 over 30 days · steady
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

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=37,767), 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 rate49.4%44.3%46.9%above
Shot accuracy4.2%11.9%13.0%8.8% short
Kill/death ratio0.701.031.080.38 short
Match win rate47.2%45.2%46.7%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGBubble KillerPREMIER19,999 · Purple bandPEAK ELO1,134csdb.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

Aim71
Positioning46
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateTWWLWLTLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −7.0pp headshot accuracy · −14ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 655ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 659ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 666ms

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 (+1.7 against its own average).

Aim7.1
Utility3.2
Positioning4.6
Opening Duels1.5
Clutch2.2

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

sh1ro

Plays most like sh1ro 97% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 675ms 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

Aim7.1
Positioning4.6
Utility3.2
Mechanics8.3
Opening Duels2.5
Win Impact1.4

Composite 5.2/10 (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-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time671ms+41ms
first ⅓ avg 629ms → last ⅓ avg 671ms
Headshot accuracy20.9%+0.5%
first ⅓ avg 20.4% → last ⅓ avg 20.9%

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

0.12Best match rating · 9–0 · inferno, 23 May →
46%Best headshot accuracy · 14–16 · mirage, 3 Sept →
422msFastest reaction time · 9–6 · inferno, 23 May →
13–2Biggest win · mirage, 19 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–14In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 63% over 24anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D248–1633%-0.02
mirageA2415–963%-0.02
infernoB209–1145%-0.02
ancientB126–650%-0.01
nukeD62–433%-0.06
anubisD51–420%-0.04
cacheA53–260%-0.03
train—20–20%0.02
poseidon—10–10%-0.17
overpass—10–10%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,324Lifetime kills
0.70K/D
3,054Matches
47.2%Match win rate · Top 50% of Purple band
49.4%Headshot % · Top 50% of Purple band
4.2%Shot accuracy
4,998MVPs
1,008Hours (in match)
3,892Bombs planted
447Bombs defused

Most-used weapons

Lifetime map wins

6,220inferno
3,519dust2
1,803nuke
1,582vertigo
413train
190cbble
97lake
74office

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

Faceit stats

Combat

592Matches
48%Win rate
0.73Avg K/D
59.9ADR
48%Headshot %

Clutches & streaks

31%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage15058%0.7411.6
Inferno8255%0.7512.2
Dust28045%0.7711.6
Ancient7641%0.7011.5
Anubis4639%0.7512.2
Nuke1656%0.7411.5
Vertigo1233%0.7812.6
Train1136%0.8211.8

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.

20.2%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.0%Spray accuracy
87.3%Counter-strafing
9.9°Preaim
675msReaction time
38.4%T opening success
41.5%CT opening success
0.42Enemies flashed / flash
2.8%Flash assists
10.21HE damage / grenade
4.86Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4168 — below the 0.5 mark we flag

    Grenade Lineups →
  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 38.3915% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis15–15-0.0819%3 Oct →
cache13–9-0.0118%3 Oct →
dust213–70.1019%2 Oct →
train2–130.0133%2 Oct →
mirage12–90.0229%28 Sept →
dust210–13-0.0914%28 Sept →
train12–120.0316%28 Sept →
dust26–13-0.0413%26 Sept →
cache11–13-0.0422%24 Sept →
mirage16–12-0.0411%23 Sept →
mirage6–13-0.0822%23 Sept →
dust213–40.0230%23 Sept →
ancient7–130.0728%23 Sept →
mirage8–130.1127%22 Sept →
inferno3–13-0.1013%22 Sept →
dust213–9-0.0432%22 Sept →
mirage13–20.0433%19 Sept →
poseidon4–9-0.1720%18 Sept →
nuke8–8-0.1223%18 Sept →
dust213–160.0636%18 Sept →
ancient9–130.0124%15 Sept →
cache9–13-0.0525%11 Sept →
mirage13–100.0019%11 Sept →
nuke8–13-0.057%11 Sept →
dust213–100.0515%11 Sept →
dust211–13-0.0022%10 Sept →
ancient8–13-0.0531%10 Sept →
inferno3–13-0.0516%10 Sept →
dust213–11-0.0416%9 Sept →
mirage16–14-0.0917%9 Sept →
inferno5–13-0.090%8 Sept →
dust214–16-0.059%8 Sept →
mirage11–13-0.0133%8 Sept →
anubis11–13-0.0223%7 Sept →
dust213–60.029%7 Sept →
nuke4–13-0.1024%7 Sept →
mirage15–15-0.0617%5 Sept →
inferno7–130.0135%4 Sept →
mirage16–12-0.0421%4 Sept →
nuke13–6-0.0231%4 Sept →
inferno13–10-0.0322%4 Sept →
ancient11–130.0117%4 Sept →
dust26–13-0.0517%3 Sept →
mirage14–16-0.0846%3 Sept →
mirage13–4-0.086%3 Sept →
ancient13–11-0.0716%3 Sept →
cache13–8-0.136%3 Sept →
mirage13–9-0.0720%1 Sept →
nuke13–7-0.0513%1 Sept →
ancient16–13-0.0016%1 Sept →
inferno13–110.0634%31 Aug →
dust24–13-0.0336%31 Aug →
ancient13–5-0.0029%31 Aug →
mirage13–9-0.0034%31 Aug →
inferno13–10-0.0136%31 Aug →
ancient13–50.0226%31 Aug →
dust213–2-0.0414%31 Aug →
cache13–20.0733%31 Aug →
inferno11–13-0.055%31 Aug →
dust25–13-0.0519%31 Aug →
mirage11–13-0.0014%31 Aug →
dust23–13-0.0818%30 Aug →
dust26–130.0040%21 Jun →
inferno4–13-0.107%11 Jun →
dust25–13-0.0813%11 Jun →
dust211–13-0.0222%9 Jun →
anubis8–13-0.0515%9 Jun →
ancient13–5-0.0038%9 Jun →
dust28–130.0013%9 Jun →
inferno10–13-0.0113%9 Jun →
mirage13–10-0.0420%9 Jun →
dust211–13-0.0121%9 Jun →
inferno13–40.0514%9 Jun →
inferno7–13-0.0515%7 Jun →
anubis5–13-0.0419%3 Jun →
mirage11–13-0.0715%3 Jun →
nuke11–13-0.0310%3 Jun →
inferno8–13-0.0328%3 Jun →
ancient2–13-0.0013%3 Jun →
mirage13–80.0220%3 Jun →
mirage13–110.0422%2 Jun →
dust27–13-0.0923%1 Jun →
anubis16–14-0.0217%30 May →
inferno6–130.0115%30 May →
mirage13–50.0638%29 May →
mirage13–40.0510%29 May →
ancient9–13-0.0820%29 May →
dust213–5-0.0618%25 May →
mirage6–13-0.0419%25 May →
inferno3–13-0.0935%25 May →
inferno16–12-0.0416%25 May →
inferno9–60.036%23 May →
inferno9–00.1229%23 May →
mirage11–13-0.0429%23 May →
ancient13–110.0426%23 May →
inferno13–6-0.0622%23 May →
dust25–13-0.0913%23 May →
overpass8–13-0.0632%22 May →
inferno13–60.0226%22 May →
mirage13–10-0.0819%20 May →

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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