agent zitouna

agent zitouna — CS2 Stats

TN76561198822214137[U:1:861948409]Steam profile ↗✓ No bans

1,927Tracked matches54%Win rate2020Tracked since
3,652Hours in CS9Hrs last 2 wks
CSDB Rating5.9 SolidAll-Rounder
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 1,927 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 31 Jan 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,299 +4,217 31 Jan19 Mar · 30 days played
12,42518,383peak 18,38331 Jan19 Mar
18,570Peak Premier in tracked matches
39Days played since 2026-01-31

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 5 among CSDB-tracked players (n=12,017), 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 5 medianLevel 6 medianvs Level 6
Headshot rate55.1%43.8%44.8%above
Shot accuracy13.0%12.0%12.4%above
Kill/death ratio0.971.021.040.07 short
Match win rate44.4%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGagent zitounaFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim61
Positioning61
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY59374Last 10059%Win rateWLWLWLLLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +6.6pp headshot accuracy · +11ms 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

  • 32 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 30%
  • Avg reaction 585ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 30%
  • Avg reaction 637ms

Last 20

  • 7112 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 631ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim6.1
Utility5.8
Positioning6.1
Opening Duels5.3
Clutch4.0

Strong CT-side opener

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

ZywOo

Plays most like ZywOo 79% 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

T-side openings. Opening success drops from 60% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 651ms 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

Aim6.1
Positioning6.1
Utility5.8
Mechanics6.0
Opening Duels4.5
Win Impact6.2

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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time642ms+10ms
first ⅓ avg 632ms → last ⅓ avg 642ms
Headshot accuracy23.9%−6.7%
first ⅓ avg 30.6% → last ⅓ avg 23.9%

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 · 9–4 · vertigo, 22 Apr
52%Best headshot accuracy · 13–2 · dust2, 8 Feb
438msFastest reaction time · 11–13 · anubis, 16 Sept
13–0Biggest win · ancient, 7 Feb

Across the last 100 tracked matches.

Highlights

10Longest win streak
56In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 71% over 7anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA35221363%0.03
dust2A1911858%0.01
infernoA1811761%0.01
ancientA95456%0.00
anubisD72529%0.02
nukeS75271%-0.03
vertigo31233%0.08
train110100%0.16
overpass110100%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,288Lifetime kills
0.97K/D
5,039Matches
44.4%Match win rate
55.1%Headshot % · Top 10% of Level 5 players
13.0%Shot accuracy · Top 50% of Level 5 players
16,862MVPs
2,132Hours (in match)
5,043Bombs planted
1,319Bombs defused

Most-used weapons

AK-4743,478
AWP14,522
FAMAS3,765
MP92,820
MAC-101,701

Lifetime map wins

4,844dust2
4,613inferno
1,373vertigo
995nuke
335train
66office
34cbble
19lake

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

Faceit stats

Combat

155Matches
50%Win rate
1.24Avg K/D
85.7ADR
54%Headshot %

Clutches & streaks

40%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4955%1.4918.3
Inferno1741%1.1215.8
Anubis1267%1.2515.9
Dust2944%1.0416.8
Ancient838%0.8213.0
Nuke425%0.9817.0
Overpass20%1.1718.0
Train1100%1.5323.0

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.

23.7%Headshot accuracy
29.2%Accuracy (enemy spotted)
31.7%Spray accuracy
77.0%Counter-strafing
8.4°Preaim
651msReaction time
36.4%T opening success
59.8%CT opening success
0.58Enemies flashed / flash
2.0%Flash assists
9.48HE damage / grenade
11.07Flashes / 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. 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 36.3858% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–50.0543%16 Sept
anubis11–130.0046%16 Sept
nuke9–50.0121%16 Sept
nuke4–9-0.0523%23 Apr
vertigo9–40.2317%22 Apr
dust211–13-0.0136%22 Apr
vertigo6–90.0729%21 Apr
vertigo2–9-0.0738%21 Apr
dust21–13-0.0618%7 Apr
ancient13–100.0226%19 Mar
anubis10–13-0.0114%19 Mar
mirage13–50.1329%15 Mar
inferno13–100.0321%15 Mar
inferno4–13-0.1012%14 Mar
inferno15–15-0.0133%14 Mar
inferno12–120.0129%13 Mar
mirage4–13-0.0228%13 Mar
anubis13–70.0424%13 Mar
anubis6–13-0.0229%9 Mar
dust24–13-0.0613%7 Mar
inferno13–80.0525%7 Mar
dust213–9-0.0020%7 Mar
mirage13–9-0.019%6 Mar
inferno13–7-0.0510%6 Mar
anubis11–130.0114%5 Mar
dust213–80.0425%5 Mar
dust213–10-0.0616%4 Mar
inferno9–130.0923%4 Mar
dust25–130.0423%3 Mar
mirage13–110.0329%1 Mar
train13–90.1625%28 Feb
ancient7–13-0.0515%26 Feb
mirage1–13-0.0626%26 Feb
mirage13–10-0.0622%26 Feb
dust213–90.0120%25 Feb
mirage13–20.0724%25 Feb
mirage13–3-0.0030%25 Feb
nuke13–7-0.0343%25 Feb
mirage13–110.0224%24 Feb
dust214–16-0.0228%21 Feb
mirage13–40.0724%19 Feb
ancient16–130.0422%19 Feb
mirage13–70.0850%18 Feb
ancient13–8-0.0524%18 Feb
ancient13–80.0031%18 Feb
mirage13–11-0.0520%18 Feb
inferno13–110.0225%17 Feb
mirage13–100.0433%17 Feb
nuke13–9-0.0427%17 Feb
mirage13–20.0725%17 Feb
inferno4–9-0.0750%17 Feb
dust213–110.0531%16 Feb
mirage13–40.0326%16 Feb
dust216–130.0825%16 Feb
ancient10–130.0531%15 Feb
dust26–13-0.0120%15 Feb
dust25–13-0.0232%15 Feb
overpass9–20.0525%15 Feb
mirage13–100.0621%14 Feb
mirage4–13-0.0324%13 Feb
inferno13–60.0418%13 Feb
dust213–3-0.0517%13 Feb
inferno13–40.0447%12 Feb
mirage13–4-0.0130%12 Feb
mirage13–70.1120%12 Feb
nuke9–13-0.0233%12 Feb
dust213–90.0533%12 Feb
dust24–130.0129%10 Feb
anubis13–60.1331%10 Feb
mirage13–70.0732%10 Feb
ancient8–13-0.0219%10 Feb
mirage8–13-0.0122%9 Feb
inferno15–15-0.0219%8 Feb
inferno13–40.1144%8 Feb
nuke13–9-0.0127%8 Feb
inferno13–70.0240%8 Feb
dust213–20.0452%8 Feb
mirage8–130.0037%8 Feb
mirage12–160.0134%8 Feb
mirage13–60.0739%7 Feb
inferno13–8-0.0227%7 Feb
mirage13–50.1324%7 Feb
ancient13–00.0447%7 Feb
mirage3–13-0.0412%7 Feb
mirage14–160.0222%7 Feb
nuke13–7-0.0533%5 Feb
ancient11–130.0133%5 Feb
mirage8–13-0.0328%5 Feb
dust216–130.0632%5 Feb
mirage9–130.0338%4 Feb
mirage8–13-0.0340%4 Feb
mirage13–80.1029%4 Feb
mirage13–90.0321%3 Feb
anubis9–13-0.0322%2 Feb
mirage9–00.0232%2 Feb
mirage10–130.0524%2 Feb
inferno8–80.0338%2 Feb
mirage9–130.0223%1 Feb
inferno13–70.0219%1 Feb
inferno13–10.0541%31 Jan

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →