ZouZou Dame Pouffiasse

ZouZou Dame Pouffiasse — CS2 Stats

BT76561198282134456[U:1:321868728]Steam profile ↗✓ No bans

2,251Tracked matches50%Win rate2020Tracked since
4,858Hours in CS21Hrs last 2 wks
CSDB Rating4.8 DevelopingAll-Rounder
Premier CS Rating12,371Blue band · top ~42.3% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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.

Rating over time

Premier CS Rating: 12,371 -1,724 22 Jul – 3 Nov · 25 days played
11,67214,095peak 14,09522 Jul3 Nov
14,308Peak Premier in tracked matches
31Days played since 2026-07-22

Premier CS Rating

  • 1,724 below peak (14,095)
  • -1,117 over 90 days
  • Next: Purple band at 15,000 — 2,629 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate54.6%44.8%45.7%above
Shot accuracy15.5%12.4%12.7%above
Kill/death ratio1.061.031.05meets
Match win rate25.5%45.2%45.7%20.1% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZouZou Dame PouffiasseFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER12,371 · Blue bandcsdb.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

Aim58
Positioning50
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLLWWWLWLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −5.3pp headshot accuracy · +13ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 502ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 593ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 587ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.8
Utility4.5
Positioning5.0
Opening Duels3.7
Clutch3.6

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

m0NESY

Plays most like m0NESY 88% 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. 626ms 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

Aim5.8
Positioning5.0
Utility4.5
Mechanics4.9
Opening Duels3.8
Win Impact5.0

Composite 4.8/10 (Developing), 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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time601ms+1ms
first ⅓ avg 600ms → last ⅓ avg 601ms
Headshot accuracy20.4%+1.6%
first ⅓ avg 18.7% → last ⅓ avg 20.4%

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

0.17Best match rating · 13–0 · anubis, 22 Jul →
41%Best headshot accuracy · 13–5 · inferno, 14 Sept →
422msFastest reaction time · 11–13 · dust2, 27 Oct →
13–0Biggest win · anubis, 22 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
11–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 83% over 6cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2911–1838%-0.00
infernoA1911–858%0.01
ancientB137–654%-0.01
anubisD124–833%0.02
mirageD103–730%-0.03
cacheD92–722%0.01
nukeS65–183%0.03
vertigo—21–150%-0.02

Across the last 100 tracked matches.

Lifetime stats

218,961Lifetime kills
1.06K/D · Top 50% of Level 6 players
8,457Matches
25.5%Match win rate
54.6%Headshot % · Top 25% of Level 6 players
15.5%Shot accuracy · Top 50% of Level 6 players
9,514MVPs
2,630Hours (in match)
4,435Bombs planted
1,147Bombs defused

Most-used weapons

AK-4759,317
FAMAS8,645
MAC-103,679
MP93,637
P2502,622

Lifetime map wins

11,821dust2
11,688inferno
2,567nuke
1,764vertigo
529train
316cbble
62office
24bank

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

Faceit stats

Combat

293Matches
52%Win rate
0.99Avg K/D
72.3ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno3762%1.1113.6
Ancient2846%1.0514.4
Anubis2654%1.0414.2
Dust22442%0.8914.7
Vertigo850%1.1515.8
Mirage667%1.1613.7
Train10%0.8315.0
Nuke10%0.8713.0

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.

21.6%Headshot accuracy
30.6%Accuracy (enemy spotted)
35.7%Spray accuracy
71.9%Counter-strafing
9.6°Preaim
626msReaction time
42.3%T opening success
48.0%CT opening success
0.46Enemies flashed / flash
2.3%Flash assists
7.84HE damage / grenade
6.74Flashes / 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 0.4618 — below the 0.5 mark we flag

    Grenade Lineups →
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0320%3 Nov →
mirage0–80.000%3 Nov →
ancient13–4-0.0127%3 Nov →
dust213–110.0122%3 Nov →
dust213–80.0417%2 Nov →
anubis10–13-0.0322%2 Nov →
inferno13–10.1317%2 Nov →
ancient5–13-0.0616%2 Nov →
dust22–13-0.0715%2 Nov →
ancient16–120.0223%29 Oct →
inferno5–13-0.0228%29 Oct →
dust213–9-0.0224%29 Oct →
inferno13–110.0316%28 Oct →
inferno7–13-0.0729%28 Oct →
nuke13–10-0.0220%28 Oct →
mirage13–100.0226%28 Oct →
dust211–13-0.0236%27 Oct →
mirage2–13-0.0915%27 Oct →
ancient9–13-0.0115%26 Oct →
dust213–100.0223%26 Oct →
ancient13–80.0220%26 Oct →
cache7–13-0.0616%23 Oct →
dust22–13-0.0418%23 Oct →
dust24–13-0.0521%23 Oct →
inferno1–13-0.1010%23 Oct →
mirage0–13-0.0913%23 Oct →
dust213–50.1531%22 Oct →
ancient13–8-0.0116%22 Oct →
nuke16–120.0424%21 Oct →
inferno13–11-0.0432%21 Oct →
dust211–130.0022%20 Oct →
dust29–13-0.0322%20 Oct →
cache13–110.0619%20 Oct →
dust215–150.0316%20 Oct →
mirage13–11-0.0121%18 Oct →
cache7–13-0.0218%18 Oct →
mirage15–15-0.0216%18 Oct →
nuke13–160.0221%18 Oct →
mirage9–13-0.0517%13 Oct →
cache8–130.0818%21 Sept →
anubis9–130.0436%21 Sept →
inferno15–150.0223%21 Sept →
cache5–13-0.0934%20 Sept →
cache12–12-0.0022%18 Sept →
anubis13–9-0.0119%18 Sept →
ancient13–100.0022%18 Sept →
mirage6–13-0.0514%15 Sept →
anubis13–5-0.0210%15 Sept →
ancient4–13-0.0719%15 Sept →
ancient4–13-0.0912%15 Sept →
nuke13–10-0.0326%14 Sept →
inferno13–50.0341%14 Sept →
dust27–13-0.0019%14 Sept →
cache4–130.0518%14 Sept →
dust213–11-0.0320%10 Sept →
anubis5–130.0418%10 Sept →
dust212–16-0.0228%8 Sept →
inferno13–60.0613%8 Sept →
inferno13–90.0419%8 Sept →
dust27–13-0.0228%8 Sept →
dust216–140.0326%7 Sept →
inferno11–130.0115%7 Sept →
inferno13–3-0.047%1 Sept →
mirage3–13-0.0424%1 Sept →
inferno13–70.0023%27 Aug →
dust26–13-0.0129%27 Aug →
cache9–130.0927%26 Aug →
dust210–13-0.0513%26 Aug →
dust213–110.0419%25 Aug →
dust216–12-0.0124%25 Aug →
inferno13–30.1620%25 Aug →
anubis11–130.0217%25 Aug →
nuke16–12-0.0120%24 Aug →
anubis9–13-0.0217%24 Aug →
ancient8–130.0027%24 Aug →
inferno7–13-0.0615%24 Aug →
anubis13–100.0213%23 Aug →
dust210–130.0518%23 Aug →
inferno13–50.0920%22 Aug →
dust213–9-0.0326%22 Aug →
inferno3–13-0.0420%22 Aug →
inferno8–130.0224%4 Aug →
dust213–11-0.0111%4 Aug →
vertigo11–13-0.0313%4 Aug →
inferno3–00.000%4 Aug →
anubis11–130.0121%4 Aug →
ancient13–60.0116%3 Aug →
cache13–110.0115%3 Aug →
vertigo13–11-0.0219%3 Aug →
dust25–130.0332%3 Aug →
nuke13–60.1630%23 Jul →
ancient13–40.0420%23 Jul →
anubis5–130.008%23 Jul →
dust23–13-0.0221%23 Jul →
dust27–130.0217%23 Jul →
ancient11–130.0423%23 Jul →
dust29–130.0029%22 Jul →
anubis7–13-0.0319%22 Jul →
mirage13–8-0.0118%22 Jul →
anubis13–00.1715%22 Jul →

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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