Anus remplie de foutre

Anus remplie de foutre — CS2 Stats

76561199305376972[U:1:1345111244]Steam profile ↗✓ No bans

860Tracked matches41%Win rate2024Tracked since
971Hours in CS25Hrs last 2 wks
CSDB Rating3.5 LearningClutch Specialist
Premier CS Rating14,435Blue band · top ~31.4% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 14,435 -2,952 26 Jun – 13 Nov · 17 days played
14,43518,451peak 18,45126 Jun13 Nov
18,451Peak Premier in tracked matches
49Days played since 2026-06-26

Premier CS Rating

  • 4,016 below peak (18,451)
  • -1,089 over 30 days · declining
  • Next: Purple band at 15,000 — 565 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate43.5%42.0%44.4%meets
Shot accuracy0.1%9.6%11.9%11.8% short
Kill/death ratio0.790.981.030.24 short
Match win rate38.0%43.8%45.2%7.2% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAnus remplie de foutrePREMIER14,435 · Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning44
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY41–54–5Last 10041%Win rateLWWLLWWLTL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −0.6pp headshot accuracy · −80ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 569ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 578ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 618ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.8 against its own average).

Aim3.9
Utility5.2
Positioning4.4
Opening Duels1.3
Clutch10.0

Reliable in 1v1s

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

Twistzz

Plays most like Twistzz 71% 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

Areas to improve

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning4.4
Utility5.2
Mechanics2.2
Opening Duels3.0
Win Impact2.1

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time611ms−69ms
first ⅓ avg 680ms → last ⅓ avg 611ms
Headshot accuracy10.8%−10.1%
first ⅓ avg 20.8% → last ⅓ avg 10.8%

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

0.20Best match rating · 13–4 · anubis, 6 Sept →
100%Best headshot accuracy · 3–0 · dust2, 29 Jun →
422msFastest reaction time · 3–12 · nuke, 1 Aug →
13–0Biggest win · inferno, 21 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 100% over 5cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD266–2023%-0.02
dust2B2312–1152%-0.03
infernoD236–1726%-0.00
nukeS128–467%-0.03
ancientS55–0100%0.00
cacheD51–420%-0.02
anubisA53–260%0.07
office—10–10%0.01

Across the last 100 tracked matches.

Lifetime stats

21,945Lifetime kills
0.79K/D
1,495Matches
38.0%Match win rate
43.5%Headshot % · Top 50% of Blue band
0.1%Shot accuracy
2,562MVPs
662Hours (in match)
1,017Bombs planted
319Bombs defused

Most-used weapons

Lifetime map wins

2,734dust2
2,455inferno
1,130nuke
398vertigo
84office
32italy
32train
14ar_shoots

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

Faceit stats

Combat

2Matches
100%Win rate
1.72Avg K/D
89.2ADR
42%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Train1100%2.6724.0
Mirage1100%0.7821.0

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.

11.2%Headshot accuracy
33.7%Accuracy (enemy spotted)
36.3%Spray accuracy
59.7%Counter-strafing
10.1°Preaim
622msReaction time
46.2%T opening success
38.0%CT opening success
0.51Enemies flashed / flash
3.4%Flash assists
12.29HE damage / grenade
8.12Flashes / 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 11.1502% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.991% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust211–130.0010%13 Nov →
ancient13–110.017%12 Nov →
nuke13–8-0.0310%11 Nov →
cache9–13-0.107%11 Nov →
inferno6–13-0.0111%10 Nov →
inferno13–11-0.0213%10 Nov →
ancient13–30.008%10 Nov →
inferno8–13-0.0118%4 Nov →
inferno12–12-0.0015%23 Oct →
mirage3–13-0.0812%21 Oct →
nuke13–7-0.037%20 Oct →
inferno10–13-0.0116%20 Oct →
dust20–13-0.0119%20 Oct →
mirage6–13-0.0611%19 Oct →
inferno2–13-0.0821%18 Oct →
dust213–11-0.096%18 Oct →
dust25–13-0.0010%17 Oct →
mirage10–130.0311%17 Oct →
inferno13–80.0711%16 Oct →
mirage2–13-0.056%16 Oct →
nuke13–6-0.018%16 Oct →
inferno11–130.024%14 Oct →
dust26–130.0414%14 Oct →
mirage8–11-0.0919%13 Oct →
inferno13–100.0412%12 Oct →
dust213–10-0.017%11 Oct →
cache0–4-0.050%7 Oct →
mirage7–13-0.0812%30 Sept →
ancient13–70.0112%26 Sept →
anubis13–20.1020%19 Sept →
ancient13–2-0.012%19 Sept →
inferno8–130.027%17 Sept →
nuke3–13-0.0610%15 Sept →
dust213–11-0.018%15 Sept →
mirage10–13-0.0314%15 Sept →
mirage12–120.0513%10 Sept →
inferno7–13-0.089%7 Sept →
cache13–8-0.0113%6 Sept →
inferno8–13-0.0326%6 Sept →
anubis13–40.2019%6 Sept →
mirage12–120.0511%3 Sept →
mirage16–12-0.0313%2 Sept →
nuke5–13-0.0023%2 Sept →
inferno2–13-0.0414%1 Sept →
anubis11–13-0.0110%31 Aug →
mirage11–13-0.0323%31 Aug →
ancient13–9-0.0116%31 Aug →
mirage10–13-0.0124%31 Aug →
inferno16–14-0.028%30 Aug →
dust213–8-0.0410%30 Aug →
dust211–13-0.0715%30 Aug →
dust213–10-0.0212%25 Aug →
mirage5–13-0.079%25 Aug →
nuke13–40.0336%25 Aug →
dust25–13-0.0913%25 Aug →
inferno7–13-0.0018%25 Aug →
mirage3–13-0.0128%24 Aug →
nuke10–13-0.0530%24 Aug →
inferno11–13-0.0120%10 Aug →
dust211–13-0.0812%9 Aug →
dust23–13-0.1016%9 Aug →
inferno13–40.0324%9 Aug →
mirage13–6-0.0013%1 Aug →
inferno12–120.0717%1 Aug →
dust25–13-0.047%1 Aug →
mirage7–130.0117%1 Aug →
nuke3–12-0.1333%1 Aug →
mirage10–13-0.0421%29 Jul →
dust213–2-0.0413%29 Jul →
anubis3–130.0422%29 Jul →
inferno13–00.0713%21 Jul →
inferno5–50.1110%19 Jul →
dust213–7-0.0424%17 Jul →
mirage13–40.0215%15 Jul →
mirage3–13-0.0139%15 Jul →
nuke13–40.0035%9 Jul →
cache13–160.0125%8 Jul →
office3–130.0116%8 Jul →
cache7–130.0218%8 Jul →
anubis13–20.0321%6 Jul →
inferno5–13-0.0710%3 Jul →
dust213–90.0315%3 Jul →
mirage13–9-0.0817%2 Jul →
dust213–11-0.0711%2 Jul →
nuke13–11-0.0015%30 Jun →
inferno6–13-0.0215%30 Jun →
mirage12–120.0923%30 Jun →
nuke13–90.0320%30 Jun →
dust213–11-0.0225%29 Jun →
inferno6–13-0.0632%29 Jun →
mirage5–13-0.0423%29 Jun →
dust27–13-0.0211%29 Jun →
dust23–00.01100%29 Jun →
mirage7–13-0.0516%28 Jun →
nuke8–2-0.067%28 Jun →
mirage13–1-0.006%26 Jun →
dust213–7-0.0310%26 Jun →
mirage13–00.1515%26 Jun →
dust26–13-0.0324%26 Jun →
mirage14–16-0.0422%26 Jun →

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 →

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