zizibrat®

zizibrat® — CS2 Stats

CN76561198983452202[U:1:1023186474]Steam profile ↗✓ No bans

1,673Tracked matches59%Win rate2020Tracked since
1,576Hours in CS
CSDB Rating5.7 SolidAll-Rounder
Premier CS Rating11,206Blue band · top ~48.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 11,206 -643 14 May – 2 Oct · 41 days played
8,92212,734peak 12,73414 May2 Oct
12,734Peak Premier in tracked matches
1,365Highest Faceit ELO seen on CSDB
50Days played since 2026-05-14

Faceit ELO

  • At peak — 1,365
  • Next: Level 8 at 1,531 — 166 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 1,528 below peak (12,734)
  • +1,474 over 30 days · improving
  • -855 over 90 days
  • Next: Purple band at 15,000 — 3,794 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 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 rate34.6%42.0%44.3%9.8% short
Shot accuracy8.5%9.6%11.9%3.4% short
Kill/death ratio1.100.981.03above
Match win rate47.7%43.8%45.2%above

This profile matches the typical Purple band player on 2 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.GGzizibrat®PREMIER11,206 · Blue bandPEAK ELO1,365csdb.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
Positioning54
Utility58

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLWWLWLLTLL

Last 10 vs previous 10: −50pp win rate · −0.04 avg rating · +2.0pp headshot accuracy · +14ms reaction

Win rate down 50pp 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 -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 592ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 582ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • 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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.1
Utility5.8
Positioning5.4
Opening Duels4.5
Clutch4.6

Strong CT-side openerLimited 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

device

Plays most like device 83% 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

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 579ms 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
Positioning5.4
Utility5.8
Mechanics5.8
Opening Duels5.7
Win Impact7.9

Composite 5.7/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time578ms−57ms
first ⅓ avg 635ms → last ⅓ avg 578ms
Headshot accuracy13.0%−4.1%
first ⅓ avg 17.2% → last ⅓ avg 13.0%

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

0.22Best match rating · 13–3 · nuke, 3 Sept →
37%Best headshot accuracy · 6–13 · dust2, 23 May →
422msFastest reaction time · 1–9 · inferno, 20 Sept →
13–0Biggest win · nuke, 31 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–5In matches decided by ≤2 rounds
17Overtime games

Map breakdown

mirageBest map · 56% over 18anubisWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA1810–856%-0.00
nukeA169–756%0.01
ancientC167–944%-0.00
dust2B147–750%0.01
anubisC146–843%0.00
cacheB126–650%0.02
infernoB84–450%-0.02
office—10–10%-0.04
overpass—10–10%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,253Lifetime kills
1.10K/D · Top 25% of Blue band
4,064Matches
47.7%Match win rate · Top 25% of Blue band
34.6%Headshot %
8.5%Shot accuracy
11,142MVPs
1,576Hours (in match)
3,644Bombs planted
833Bombs defused

Most-used weapons

AWP14,989
AK-4714,065
Molotov3,522
HE Grenade3,264
SSG 082,772
SG 5532,428

Lifetime map wins

4,966inferno
3,570dust2
2,523nuke
2,411vertigo
583train
328office
101lake
89cbble

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

Faceit stats

Combat

358Matches
50%Win rate
1.08Avg K/D
86.9ADR
35%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12152%1.1317.4
Ancient5258%1.1116.6
Anubis3751%1.1718.6
Dust23743%0.9615.6
Nuke3348%1.1517.4
Inferno3348%1.0917.5
Cache757%1.1017.0
Vertigo333%1.1319.3

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.

12.0%Headshot accuracy
36.0%Accuracy (enemy spotted)
37.5%Spray accuracy
76.1%Counter-strafing
10.3°Preaim
579msReaction time
45.7%T opening success
60.0%CT opening success
0.50Enemies flashed / flash
13.7%Flash assists
10.86HE damage / grenade
4.93Flashes / 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 11.9837% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4997 — below the 0.5 mark we flag

    Grenade Lineups →
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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.128%2 Oct →
cache13–70.0911%1 Oct →
nuke13–7-0.0510%1 Oct →
anubis13–160.0211%20 Sept →
ancient16–120.0313%20 Sept →
inferno6–90.0013%20 Sept →
inferno1–9-0.2127%20 Sept →
cache15–15-0.017%17 Sept →
anubis9–13-0.0015%17 Sept →
mirage10–130.0419%15 Sept →
cache4–13-0.095%14 Sept →
cache13–100.097%14 Sept →
nuke13–9-0.036%12 Sept →
ancient13–50.0512%12 Sept →
ancient16–140.0412%10 Sept →
dust213–11-0.0012%8 Sept →
inferno7–13-0.0123%7 Sept →
cache13–60.1319%7 Sept →
anubis13–11-0.055%7 Sept →
ancient13–90.0213%3 Sept →
nuke13–30.225%3 Sept →
nuke10–130.0012%3 Sept →
anubis13–7-0.0414%31 Aug →
ancient9–13-0.0412%31 Aug →
cache13–70.1311%31 Aug →
ancient10–13-0.0211%29 Aug →
dust27–13-0.0315%29 Aug →
anubis13–110.0610%29 Aug →
dust214–160.0619%26 Aug →
mirage13–50.1216%26 Aug →
nuke13–70.0113%26 Aug →
ancient7–13-0.0513%25 Aug →
mirage9–13-0.0332%25 Aug →
cache13–50.1014%25 Aug →
ancient9–13-0.0511%25 Aug →
anubis15–150.029%23 Aug →
dust213–6-0.0611%23 Aug →
dust213–110.036%23 Aug →
nuke13–3-0.0732%23 Aug →
ancient6–130.0411%22 Aug →
anubis16–120.0615%22 Aug →
mirage12–00.0517%22 Aug →
nuke13–100.029%22 Aug →
ancient6–13-0.0318%21 Aug →
ancient14–16-0.017%21 Aug →
mirage8–13-0.108%21 Aug →
inferno8–5-0.0333%21 Aug →
dust213–110.012%20 Aug →
nuke13–16-0.098%19 Aug →
cache10–13-0.0126%18 Aug →
mirage8–13-0.0519%18 Aug →
anubis16–12-0.0213%18 Aug →
nuke2–130.0317%8 Aug →
inferno13–16-0.0722%6 Aug →
anubis13–100.0414%6 Aug →
ancient7–130.0120%31 Jul →
nuke13–00.000%31 Jul →
ancient13–5-0.0910%26 Jul →
dust213–8-0.0017%26 Jul →
cache8–130.0225%23 Jul →
nuke11–130.0910%23 Jul →
cache11–130.0222%23 Jul →
mirage7–13-0.0715%21 Jul →
nuke13–160.0028%21 Jul →
dust25–130.1533%21 Jul →
mirage7–4-0.0110%20 Jul →
mirage10–13-0.0510%20 Jul →
mirage13–30.0413%20 Jul →
dust25–13-0.0417%19 Jul →
cache13–8-0.0716%19 Jul →
office7–13-0.0422%18 Jul →
mirage13–60.0216%16 Jul →
mirage13–40.0519%16 Jul →
inferno13–50.1019%14 Jul →
anubis7–13-0.0426%14 Jul →
mirage13–9-0.0019%13 Jul →
cache0–13-0.099%9 Jul →
dust213–60.0220%29 Jun →
anubis9–13-0.0317%28 Jun →
mirage4–130.0216%27 Jun →
anubis13–16-0.048%26 Jun →
mirage16–130.0115%25 Jun →
mirage13–11-0.0117%21 Jun →
mirage13–9-0.049%21 Jun →
anubis10–13-0.0113%19 Jun →
nuke13–3-0.0112%19 Jun →
ancient16–130.0224%19 Jun →
overpass15–15-0.0014%18 Jun →
mirage8–13-0.0310%14 Jun →
dust213–30.1027%14 Jun →
dust210–130.0113%13 Jun →
nuke13–100.0220%13 Jun →
nuke11–130.0312%11 Jun →
ancient15–15-0.0313%10 Jun →
nuke6–13-0.0028%9 Jun →
inferno13–3-0.0124%9 Jun →
dust26–13-0.0237%23 May →
anubis9–130.0719%16 May →
ancient13–100.1013%14 May →
inferno13–100.0713%14 May →

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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