Bubbels

Bubbels — CS2 Stats

76561198414294777[U:1:454029049]Steam profile ↗✓ No bans

716Tracked matches33%Win rate2023Tracked since
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating9,538Light Blue band · top ~57.1% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 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.

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. 26 days played since 28 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,538 +1,304 28 Jul16 Sept · 25 days played
7,57011,922peak 11,92228 Jul16 Sept
12,625Peak Premier in tracked matches
26Days played since 2026-07-28

Premier CS Rating

  • 2,384 below peak (11,922)
  • -1,646 over 30 days · declining
  • Next: Blue band at 10,000 462 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.

Share this profile

CSDB.GGBubbelsPREMIER9,538 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning54
Utility38

0–100 skill scores via Leetify.

Recent form

COLD51481Last 10051%Win rateLLWWLLLLWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +1.1pp headshot accuracy · −49ms reaction

Win rate 0pp 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

  • 23 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 578ms

Last 10

  • 37 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 586ms

Last 20

  • 614 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 611ms

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 (+2 against its own average).

Aim7.2
Utility3.8
Positioning5.4
Opening Duels1.0

Strong CT-side opener

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 90% 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

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

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim7.2
Positioning5.4
Utility3.8
Mechanics8.3
Opening Duels1.6
Win Impact0.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time611ms−53ms
first ⅓ avg 664ms → last ⅓ avg 611ms
Headshot accuracy14.1%+1.6%
first ⅓ avg 12.5% → last ⅓ avg 14.1%

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

0.16Best match rating · 9–3 · inferno, 19 Aug
45%Best headshot accuracy · 9–0 · inferno, 19 Aug
438msFastest reaction time · 6–13 · inferno, 23 Aug
13–1Biggest win · nuke, 11 Aug

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
89In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 65% over 20infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB22101245%0.02
nukeS2013765%0.04
dust2A1710759%-0.01
mirageA127558%0.03
infernoD103730%-0.01
cacheA95456%0.01
anubisC73443%0.03
vertigo1010%-0.01
fachwerk1010%0.06
overpass1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.50Avg K/D
ADR
43%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

13.6%Headshot accuracy
39.8%Accuracy (enemy spotted)
38.9%Spray accuracy
87.3%Counter-strafing
11.1°Preaim
612msReaction time
24.1%T opening success
42.6%CT opening success
0.46Enemies flashed / flash
0.7%Flash assists
7.21HE damage / grenade
7.84Flashes / 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 13.5802% — below the 15% mark we flag

    Aim Training
  2. 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 0.4555 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 24.1434% — below the 40% mark we flag

Spend your practice time on Inferno

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo6–13-0.0113%22 Sept
fachwerk8–130.0615%22 Sept
nuke13–80.097%16 Sept
cache13–110.0213%16 Sept
ancient9–130.0012%15 Sept
nuke8–13-0.0413%11 Sept
inferno8–130.0111%5 Sept
nuke11–13-0.0315%5 Sept
anubis13–40.0119%31 Aug
ancient5–13-0.0622%29 Aug
anubis8–130.0611%24 Aug
ancient6–13-0.0223%24 Aug
mirage13–80.0219%24 Aug
nuke13–80.0518%24 Aug
cache11–13-0.0114%24 Aug
anubis9–130.0118%24 Aug
inferno6–13-0.0513%23 Aug
dust22–13-0.103%23 Aug
cache9–13-0.013%22 Aug
nuke13–8-0.056%22 Aug
overpass8–80.0424%22 Aug
nuke11–130.0515%22 Aug
dust210–13-0.0512%22 Aug
nuke7–130.0316%22 Aug
ancient7–13-0.079%22 Aug
inferno8–13-0.0211%22 Aug
ancient13–70.0515%22 Aug
nuke13–30.1322%22 Aug
nuke13–100.0314%20 Aug
mirage13–50.1112%20 Aug
mirage2–130.0016%19 Aug
ancient1–13-0.0311%19 Aug
inferno9–30.1620%19 Aug
inferno9–00.1245%19 Aug
nuke11–130.0112%19 Aug
dust212–160.0315%19 Aug
anubis13–50.0311%19 Aug
ancient13–7-0.0413%19 Aug
anubis13–20.0910%12 Aug
ancient8–13-0.0113%11 Aug
nuke13–60.0514%11 Aug
ancient13–110.0916%11 Aug
dust29–130.037%11 Aug
nuke13–10.0332%11 Aug
cache13–30.0516%11 Aug
dust213–100.019%11 Aug
nuke13–110.0212%11 Aug
ancient6–13-0.018%10 Aug
dust213–7-0.0418%10 Aug
anubis5–130.027%10 Aug
cache11–13-0.0111%9 Aug
nuke13–7-0.0112%9 Aug
dust23–13-0.0318%9 Aug
nuke13–90.0911%9 Aug
dust213–5-0.0320%8 Aug
ancient6–13-0.0314%6 Aug
nuke11–50.0515%6 Aug
ancient5–130.0617%6 Aug
dust213–6-0.0021%6 Aug
ancient13–50.1410%6 Aug
ancient13–30.0726%5 Aug
dust213–50.0115%5 Aug
dust213–8-0.0120%5 Aug
ancient13–70.1011%5 Aug
dust213–90.0210%5 Aug
mirage13–80.1012%5 Aug
inferno12–16-0.0519%4 Aug
dust211–13-0.026%4 Aug
ancient11–13-0.015%2 Aug
nuke9–130.0410%2 Aug
ancient13–7-0.0112%2 Aug
mirage16–140.0512%1 Aug
ancient13–20.1016%1 Aug
inferno3–13-0.1311%1 Aug
cache13–70.0115%1 Aug
ancient13–110.0212%31 Jul
cache13–110.006%31 Jul
dust213–80.0910%31 Jul
ancient13–160.0012%31 Jul
mirage13–100.0111%31 Jul
dust213–90.0216%31 Jul
ancient9–130.0413%31 Jul
inferno13–60.0417%31 Jul
mirage16–120.0812%30 Jul
inferno8–13-0.059%30 Jul
dust213–11-0.0416%30 Jul
dust28–13-0.0915%30 Jul
mirage10–130.0510%30 Jul
nuke13–70.0717%29 Jul
mirage13–11-0.0310%29 Jul
mirage6–13-0.0317%29 Jul
mirage14–16-0.0119%29 Jul
cache3–13-0.067%29 Jul
nuke13–50.0516%29 Jul
mirage11–130.0218%29 Jul
anubis4–13-0.0411%29 Jul
cache13–80.0615%29 Jul
inferno7–13-0.0918%28 Jul
nuke13–160.0214%28 Jul
ancient13–90.096%28 Jul

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 →