Bourgeoisie

Bourgeoisie — CS2 Stats

AU76561198071240176[U:1:110974448]Steam profile ↗✓ No bans

2,961Tracked matches45%Win rate2020Tracked since
5,157Hours in CS36Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating16,237Purple band · top ~23.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (yesterday). 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: 16,237 -2,251 1 Sept – 8 Oct · 26 days played
15,83119,729peak 19,7291 Sept8 Oct
20,000Peak Premier in tracked matches
904Highest Faceit ELO seen on CSDB
26Days played since 2026-09-01

Faceit ELO

  • At peak — 904
  • Next: Level 5 at 1,051 — 147 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 3,492 below peak (19,729)
  • -2,187 over 30 days · declining
  • Next: Pink band at 20,000 — 3,763 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches98——
Win rate44%——
K/D0.82——
Headshot %47%——

Measured 6 Sep 2026 → 9 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate37.3%44.3%46.9%9.6% short
Shot accuracy9.8%11.9%13.0%3.2% short
Kill/death ratio0.931.031.080.15 short
Match win rate44.9%45.2%46.7%1.7% short

This profile sits below the typical Pink band player on every metric we can compare.

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.GGBourgeoisiePREMIER16,237 · Purple bandPEAK ELO904csdb.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
Positioning58
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43–55–2Last 10043%Win rateLWWLWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +5.1pp headshot accuracy · +25ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 601ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 587ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 575ms

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 (+1.1 against its own average).

Aim6.8
Utility5.8
Positioning5.8
Opening Duels2.9
Clutch4.4

Effective flashesLimited 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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 585ms 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

Aim6.8
Positioning5.8
Utility5.8
Mechanics6.3
Opening Duels5.7
Win Impact3.3

Composite 5.9/10 (Solid), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time584ms−28ms
first ⅓ avg 611ms → last ⅓ avg 584ms
Headshot accuracy15.5%+0.5%
first ⅓ avg 15.0% → last ⅓ avg 15.5%

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

0.13Best match rating · 13–5 · nuke, 4 Oct →
30%Best headshot accuracy · 7–13 · inferno, 23 Sept →
438msFastest reaction time · 7–13 · ancient, 4 Oct →
13–1Biggest win · cache, 8 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
2–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 75% over 8anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C259–1636%-0.01
mirageC2410–1442%-0.03
infernoC125–742%0.01
nukeC125–742%0.01
ancientB105–550%-0.02
cacheS86–275%0.00
anubisD82–625%-0.03
train—11–0100%0.07

Across the last 100 tracked matches.

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

Lifetime stats

85,597Lifetime kills
0.93K/D
5,060Matches
44.9%Match win rate
37.3%Headshot %
9.8%Shot accuracy
10,675MVPs
2,070Hours (in match)
4,999Bombs planted
1,082Bombs defused

Most-used weapons

AK-4723,009
AWP9,393
P2501,842
P901,815
FAMAS1,762

Lifetime map wins

21,224dust2
6,663inferno
2,493nuke
715train
472vertigo
80cbble
56safehouse
47office

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

Faceit stats

Combat

114Matches
45%Win rate
0.94Avg K/D
76.2ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2642%1.0114.6
Inferno2045%0.9815.8
Dust21533%0.8614.3
Train1258%1.0111.4
Overpass1250%0.7513.0
Nuke1040%0.9815.4
Ancient757%1.0015.0
Anubis250%1.2211.0

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.

15.5%Headshot accuracy
35.7%Accuracy (enemy spotted)
38.8%Spray accuracy
78.3%Counter-strafing
9.8°Preaim
585msReaction time
59.6%T opening success
46.3%CT opening success
0.83Enemies flashed / flash
5.9%Flash assists
11.67HE damage / grenade
4.48Flashes / match

Recommended for you

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.

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0223%8 Oct →
mirage13–8-0.0314%8 Oct →
inferno13–70.0022%8 Oct →
inferno14–160.0220%6 Oct →
cache16–120.029%6 Oct →
dust210–90.0014%5 Oct →
dust29–130.0718%5 Oct →
inferno13–50.0528%5 Oct →
dust214–160.0223%5 Oct →
mirage13–8-0.089%5 Oct →
dust28–13-0.037%4 Oct →
mirage8–13-0.0416%4 Oct →
dust22–13-0.038%4 Oct →
dust213–4-0.027%4 Oct →
nuke13–50.1324%4 Oct →
nuke15–15-0.0213%4 Oct →
dust213–9-0.047%4 Oct →
ancient7–13-0.088%4 Oct →
anubis13–80.0118%3 Oct →
mirage10–13-0.0320%3 Oct →
train13–70.0714%3 Oct →
dust29–130.0119%3 Oct →
inferno13–5-0.0012%3 Oct →
inferno8–13-0.0417%3 Oct →
nuke7–130.0125%2 Oct →
mirage13–30.0620%2 Oct →
mirage10–130.005%30 Sept →
cache9–13-0.0216%30 Sept →
anubis1–13-0.0814%30 Sept →
mirage5–13-0.1013%30 Sept →
nuke13–8-0.0113%30 Sept →
nuke9–13-0.0424%28 Sept →
mirage13–4-0.0415%28 Sept →
mirage13–11-0.0315%28 Sept →
mirage9–13-0.0421%26 Sept →
nuke13–7-0.017%26 Sept →
ancient9–13-0.0118%26 Sept →
ancient13–50.0017%26 Sept →
mirage5–130.0020%25 Sept →
mirage8–130.0018%25 Sept →
dust214–160.0114%25 Sept →
nuke4–130.0011%25 Sept →
mirage6–13-0.0712%24 Sept →
inferno13–60.0419%24 Sept →
mirage7–13-0.0512%24 Sept →
dust25–13-0.0322%24 Sept →
nuke10–130.0217%23 Sept →
ancient13–9-0.0211%23 Sept →
mirage13–50.0013%23 Sept →
ancient10–13-0.0319%23 Sept →
inferno7–130.0630%23 Sept →
mirage16–13-0.0211%23 Sept →
nuke8–13-0.0421%20 Sept →
ancient13–8-0.0112%20 Sept →
dust210–13-0.0222%19 Sept →
anubis5–130.0313%19 Sept →
dust213–50.0216%19 Sept →
mirage14–16-0.046%18 Sept →
mirage6–130.0113%17 Sept →
cache13–4-0.0118%14 Sept →
dust29–13-0.0316%13 Sept →
ancient13–40.0116%13 Sept →
nuke13–100.0317%13 Sept →
anubis12–16-0.0015%12 Sept →
mirage13–7-0.056%10 Sept →
mirage11–13-0.085%10 Sept →
dust213–9-0.017%10 Sept →
dust25–13-0.0815%10 Sept →
cache13–5-0.0517%10 Sept →
inferno13–60.0211%10 Sept →
nuke16–120.0919%10 Sept →
dust27–130.057%10 Sept →
dust215–15-0.0511%9 Sept →
dust213–10-0.0715%9 Sept →
ancient13–9-0.0317%9 Sept →
inferno11–13-0.036%8 Sept →
dust211–130.0114%8 Sept →
cache13–10.036%8 Sept →
dust216–12-0.0215%8 Sept →
dust29–130.0520%7 Sept →
anubis5–13-0.0722%7 Sept →
ancient7–13-0.0421%7 Sept →
anubis16–13-0.047%7 Sept →
dust28–13-0.069%3 Sept →
dust213–80.0310%3 Sept →
anubis3–13-0.0418%3 Sept →
mirage1–13-0.0912%2 Sept →
nuke1–13-0.0314%2 Sept →
cache13–50.049%2 Sept →
mirage13–100.0714%2 Sept →
cache13–90.0125%2 Sept →
dust213–80.0116%2 Sept →
inferno5–130.0325%2 Sept →
mirage13–90.0216%2 Sept →
mirage7–13-0.0313%1 Sept →
inferno10–130.0419%1 Sept →
anubis2–13-0.077%1 Sept →
ancient5–13-0.0216%1 Sept →
inferno3–13-0.1025%1 Sept →
dust26–130.0023%1 Sept →

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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