BubbleMonX — CS2 Stats

76561199067313014[U:1:1107047286]

400Tracked matches53%Win rate2025Tracked since
236Hours in CS
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating19,753Purple band · top ~9.5% of ranked players (population est.)
CSDB Leaderboard#5567 of 11672 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate48.5%48.1%meets
Shot accuracy4.4%12.9%8.5% short
Kill/death ratio1.291.08above
Match win rate42.1%46.5%4.3% short

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.

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CSDB.GGBubbleMonXPREMIER19,753 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning50
Utility25

0–100 skill scores via Leetify.

Recent form

HOT73252Last 10073%Win rateWWLLWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.05 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression4.5
Utility2.5
Positioning5.0
Opening Duels0.8

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.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, 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. 647ms 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

Aim6.9
Positioning5.0
Utility2.5
Mechanics8.3
Opening Duels1.2
Win Impact6.1

Composite 5.4/10 (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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time646ms−34ms
first ⅓ avg 680ms → last ⅓ avg 646ms
Headshot accuracy19.6%+4.3%
first ⅓ avg 15.2% → last ⅓ avg 19.6%

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.

Highlights

0.27Best rating — dust2 13–5
131Biggest win — inferno
12Longest win streak
W2Current streak
114In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 82% over 11dust2Weakest map · 68% over 37
MapGradePlayedRecordWin rateAvg rating
dust2S37251268%0.04
mirageS2822679%0.03
nukeS139469%0.00
infernoS119282%0.06
ancient43175%0.07
anubis32167%0.02
overpass330100%0.01
boulder1010%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (68% over 37). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,801Lifetime kills
1.29K/D · Top 25% of tracked players
935Matches
42.1%Match win rate
48.5%Headshot % · Top 50% of tracked players
4.4%Shot accuracy
1,728MVPs
236Hours (in match)
746Bombs planted
174Bombs defused

Most-used weapons

Lifetime map wins

2,352dust2
659nuke
594inferno
168train
126vertigo
30ar_baggage
27lake
22safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.1%Headshot accuracy
36.3%Accuracy (enemy spotted)
36.7%Spray accuracy
87.6%Counter-strafing
11.2°Preaim
647msReaction time
26.4%T opening success
39.8%CT opening success
0.35Enemies flashed / flash
1.8%Flash assists
8.74HE damage / grenade
2.29Flashes / 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 0.3477 — 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 26.4079% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage13–110.1018%21 Jul
dust213–100.0816%21 Jul
dust23–13-0.0321%20 Jul
boulder4–130.0120%20 Jul
mirage13–50.0521%20 Jul
dust213–90.2319%19 Jul
nuke13–90.0115%19 Jul
ancient13–100.0624%19 Jul
dust213–40.0240%19 Jul
dust213–80.0624%17 Jul
inferno13–10.0816%17 Jul
ancient13–60.1019%17 Jul
dust29–13-0.0522%17 Jul
dust22–13-0.0721%16 Jul
inferno13–30.0230%16 Jul
mirage2–130.0014%16 Jul
dust27–13-0.0221%16 Jul
dust25–13-0.0311%16 Jul
inferno9–130.0523%16 Jul
anubis11–13-0.0112%16 Jul
mirage10–130.079%16 Jul
dust24–13-0.0714%16 Jul
nuke7–130.0220%14 Jul
mirage4–13-0.0612%13 Jul
nuke16–12-0.0527%13 Jul
nuke13–11-0.0833%11 Jul
nuke6–13-0.0210%10 Jul
mirage16–14-0.078%9 Jul
dust213–60.1122%9 Jul
dust213–9-0.0313%9 Jul
inferno4–13-0.0621%2 Jul
inferno13–40.2025%27 Jun
mirage1–10-0.0121%27 Jun
dust215–15-0.049%25 Jun
dust213–110.2322%25 Jun
mirage13–20.1017%24 Jun
dust213–50.2732%24 Jun
nuke14–160.0519%23 Jun
dust213–100.1137%23 Jun
dust216–130.0827%23 Jun
mirage13–50.0224%23 Jun
overpass16–14-0.0116%23 Jun
mirage13–80.1010%18 Jun
mirage13–90.0821%18 Jun
dust213–60.1017%18 Jun
mirage13–40.0625%18 Jun
dust27–130.0313%18 Jun
dust213–70.0420%17 Jun
ancient13–80.2118%16 Jun
mirage13–90.048%16 Jun
nuke13–110.0814%13 Jun
inferno13–50.0624%13 Jun
inferno13–70.2021%12 Jun
nuke13–30.1923%12 Jun
mirage13–20.1723%12 Jun
mirage13–9-0.1116%8 Jun
mirage13–40.0129%8 Jun
ancient10–13-0.1012%8 Jun
mirage5–13-0.0916%8 Jun
mirage13–100.0633%8 Jun
nuke13–5-0.0711%7 Jun
nuke13–5-0.0129%7 Jun
mirage13–1-0.0128%7 Jun
mirage13–90.0234%7 Jun
nuke10–13-0.0733%7 Jun
dust213–10-0.0626%7 Jun
mirage13–2-0.0626%7 Jun
overpass13–60.0423%7 Jun
dust213–3-0.0618%5 Jun
dust213–110.0710%3 Jun
mirage13–80.1322%3 Jun
dust213–10.2429%3 Jun
mirage13–70.109%3 Jun
mirage13–80.1618%31 May
dust213–7-0.017%31 May
nuke13–90.0815%31 May
dust213–30.0713%30 May
dust29–13-0.0132%30 May
nuke13–5-0.078%30 May
dust211–130.0916%30 May
dust213–110.0111%30 May
mirage13–7-0.018%30 May
dust213–40.0618%30 May
dust213–60.0013%30 May
inferno16–14-0.0513%29 May
anubis13–110.0414%29 May
dust216–13-0.0120%29 May
dust213–9-0.0015%28 May
mirage15–150.0117%27 May
anubis13–70.0317%27 May
mirage13–70.0814%26 May
overpass13–40.0115%26 May
dust29–130.019%26 May
mirage13–70.0515%26 May
inferno13–20.1120%26 May
dust211–13-0.0110%26 May
dust213–70.0214%26 May
inferno13–3-0.0211%26 May
dust213–110.0822%13 May
inferno13–80.045%13 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →