Fleurbb

Fleurbb — CS2 Stats

FR76561198182753474[U:1:222487746]Steam profile ↗✓ No bans

2,896Tracked matches52%Win rate2020Tracked since
9,557Hours in CS56Hrs last 2 wks
CSDB Rating8.0 StrongPositional Player
Premier CS Rating24,446Top 25% of 213,211 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)
CSDB Leaderboard#28593 of 259898 tracked
FaceitLevel 10 · 2,661 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−105Premier CS Rating · 24,551 → 24,446

Rating over time

Premier CS Rating: 24,446 +3,460 10 Aug – 4 Nov · 27 days played
20,98624,999peak 24,99910 Aug4 Nov
Faceit ELO: 2,661 +0 31 Aug – 23 Sept · 4 observations
2,6612,661peak 2,66131 Aug23 Sept
24,999Peak Premier in tracked matches
2,661Highest Faceit ELO seen on CSDB
43Days played since 2026-08-08

Faceit ELO

  • At peak — 2,661
  • 0 over 30 days · steady
  • Next: 3,000 ELO at 3,000 — 339 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-31
  • Level 10 first seen 2026-08-31

Premier CS Rating

  • 553 below peak (24,999)
  • +3,460 over 90 days
  • Next: Red band at 25,000 — 554 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate45.7%50.9%
Shot accuracy14.5%13.7%
Kill/death ratio1.141.09
Match win rate47.1%48.4%

Share this profile

CSDB.GGFleurbbFACEITLevel 10 · 2,661 ELOSTANDINGTop 12.4% of rankedPREMIER24,446 · Pink band30 DAYS0 ELOPEAK ELO2,661csdb.gg/stats

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Performance scores

Aim96
Positioning76
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateWLLWLWLWLW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −5.0pp headshot accuracy · −14ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 19%
  • Avg reaction 444ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 452ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 459ms

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 (+2.1 against its own average).

Aim9.6
Utility5.6
Positioning7.6
Opening Duels5.3
Clutch3.6

Sharp aimerExcellent counter-strafing

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 92% playstyle similarity

Most alike: aim profile, positioning 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

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

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

Aim9.6
Positioning7.6
Utility5.6
Mechanics8.9
Opening Duels6.6
Win Impact5.6

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.07+0.02
first ⅓ avg 0.05 → last ⅓ avg 0.07
Reaction time460ms−46ms
first ⅓ avg 506ms → last ⅓ avg 460ms
Headshot accuracy21.2%−0.5%
first ⅓ avg 21.6% → last ⅓ avg 21.2%

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

0.23Best match rating · 13–8 · vertigo, 3 Oct →
47%Best headshot accuracy · 3–5 · vertigo, 8 Oct →
328msFastest reaction time · 13–11 · ancient, 2 Oct →
13–0Biggest win · cache, 6 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 80% over 10ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB3215–1747%0.06
cacheA169–756%0.06
anubisS129–375%0.07
nukeS108–280%0.08
mirageC73–443%0.04
dust2A74–357%0.02
ancientC52–340%0.01
vertigoA53–260%0.11
overpass—33–0100%0.08
fachwerk—11–0100%0.01
train—11–0100%0.10
office—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

179,702Lifetime kills
1.14K/D · Top 50% of Level 10 players
6,871Matches
47.1%Match win rate
45.7%Headshot %
14.5%Shot accuracy · Top 50% of Level 10 players
21,887MVPs
4,388Hours (in match)
9,722Bombs planted
2,273Bombs defused

Most-used weapons

AK-4779,520
AWP18,553
MP96,788
MAC-105,377
UMP-453,453
P2502,323

Lifetime map wins

27,391inferno
12,204dust2
4,552cbble
3,883vertigo
3,694nuke
1,721train
25safehouse
23lake

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

Faceit stats

Combat

2,739Matches
51%Win rate
1.28Avg K/D
94.6ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
28%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno36553%1.4520.5
Anubis18851%1.3320.6
Dust216254%1.2317.4
Nuke11261%1.3819.6
Ancient11045%1.2819.9
Overpass9252%1.3719.7
Vertigo5946%1.3820.0
Train5751%1.2818.7

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.

20.4%Headshot accuracy
42.2%Accuracy (enemy spotted)
42.8%Spray accuracy
90.1%Counter-strafing
7.9°Preaim
456msReaction time
56.3%T opening success
56.8%CT opening success
0.57Enemies flashed / flash
14.6%Flash assists
10.10HE damage / grenade
5.58Flashes / 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–80.0616%4 Nov →
inferno6–130.0521%4 Nov →
cache11–130.0828%3 Nov →
inferno13–80.1116%3 Nov →
cache7–130.1014%3 Nov →
anubis13–110.0419%3 Nov →
mirage5–130.0720%2 Nov →
ancient13–3-0.0416%27 Oct →
dust24–13-0.0311%24 Oct →
anubis13–80.0617%20 Oct →
inferno10–130.0516%20 Oct →
mirage5–13-0.0325%15 Oct →
nuke13–20.0716%12 Oct →
vertigo3–50.0547%8 Oct →
anubis5–50.2223%8 Oct →
inferno12–120.0319%8 Oct →
overpass13–110.0916%3 Oct →
vertigo13–80.2321%3 Oct →
nuke13–90.0825%2 Oct →
cache13–100.0619%2 Oct →
ancient13–110.0519%2 Oct →
anubis13–100.0716%2 Oct →
inferno13–50.1128%2 Oct →
cache5–130.0522%27 Sept →
inferno3–13-0.0028%26 Sept →
cache13–100.0716%23 Sept →
nuke13–10.1730%23 Sept →
vertigo9–130.1320%23 Sept →
mirage6–130.0231%23 Sept →
cache7–130.0521%23 Sept →
inferno15–150.1225%21 Sept →
cache4–130.0019%21 Sept →
inferno13–40.1621%21 Sept →
anubis13–110.0332%18 Sept →
anubis13–40.0619%17 Sept →
dust213–90.0732%17 Sept →
nuke5–40.0546%16 Sept →
inferno4–90.0323%14 Sept →
anubis13–20.0934%14 Sept →
fachwerk13–110.0121%10 Sept →
cache13–0-0.0019%6 Sept →
cache2–130.0239%4 Sept →
mirage4–130.0341%4 Sept →
cache13–110.079%31 Aug →
ancient8–130.0427%31 Aug →
anubis10–130.0621%31 Aug →
inferno13–110.0722%31 Aug →
inferno13–80.0823%30 Aug →
vertigo13–80.0917%30 Aug →
inferno12–120.0825%30 Aug →
train13–100.1030%30 Aug →
overpass13–50.1020%30 Aug →
cache13–50.1129%30 Aug →
inferno11–130.0738%29 Aug →
nuke13–100.0829%28 Aug →
nuke13–90.0420%27 Aug →
office2–13-0.0247%27 Aug →
anubis13–90.1423%27 Aug →
inferno13–50.1323%27 Aug →
cache7–130.0717%26 Aug →
dust25–13-0.0719%26 Aug →
mirage13–50.0840%26 Aug →
inferno6–13-0.0922%26 Aug →
inferno13–100.0025%25 Aug →
vertigo13–40.0718%25 Aug →
inferno3–130.0336%25 Aug →
anubis1–130.0128%25 Aug →
inferno13–20.0125%25 Aug →
inferno13–30.1327%24 Aug →
nuke11–130.0212%23 Aug →
dust213–110.0621%22 Aug →
inferno2–13-0.0517%22 Aug →
cache13–100.0917%22 Aug →
inferno13–50.1526%22 Aug →
inferno11–130.1128%21 Aug →
cache13–100.1046%21 Aug →
nuke13–7-0.0212%21 Aug →
inferno13–40.1918%19 Aug →
inferno13–80.0014%19 Aug →
dust26–13-0.0217%17 Aug →
nuke13–70.1616%16 Aug →
mirage13–100.0421%16 Aug →
inferno13–90.0426%16 Aug →
cache8–10.0330%15 Aug →
inferno6–130.0427%15 Aug →
cache13–10.0614%13 Aug →
anubis13–60.0519%13 Aug →
ancient10–130.0214%13 Aug →
anubis13–5-0.0020%12 Aug →
dust213–110.0119%12 Aug →
inferno13–5-0.0120%11 Aug →
inferno5–130.0623%11 Aug →
inferno13–90.1424%10 Aug →
nuke7–130.1123%10 Aug →
inferno2–13-0.0128%10 Aug →
inferno8–130.0123%9 Aug →
dust213–60.0825%9 Aug →
mirage13–90.0720%9 Aug →
ancient3–13-0.0313%8 Aug →
inferno5–13-0.0230%8 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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