zizibrat®

zizibrat® — CS2 Stats

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

1,712Tracked matches53%Win rate2020Tracked since
1,596Hours in CS
CSDB Rating5.8 SolidPositional Player
Premier CS Rating13,727Blue band · top ~35.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 13,727 +3,728 26 Jul – 2 Nov · 44 days played
8,92213,727peak 13,72726 Jul2 Nov
13,727Peak Premier in tracked matches
1,365Highest Faceit ELO seen on CSDB
45Days played since 2026-07-23

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

  • At peak — 13,727
  • +2,160 over 30 days · improving
  • +4,321 over 90 days
  • Next: Purple band at 15,000 — 1,273 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 rate34.5%42.0%44.4%9.9% short
Shot accuracy8.4%9.6%11.9%3.5% short
Kill/death ratio1.100.981.03above
Match win rate47.8%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®PREMIER13,727 · 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

Aim59
Positioning65
Utility52

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateLLWWWWWWWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +0.7pp headshot accuracy · +54ms reaction

Win rate up 40pp 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 -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 625ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 591ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 564ms

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 (+1.5 against its own average).

Aim5.9
Utility5.2
Positioning6.5
Opening Duels3.8
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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 572ms 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

Aim5.9
Positioning6.5
Utility5.2
Mechanics5.7
Opening Duels7.4
Win Impact6.1

Composite 5.8/10 (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+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time558ms−50ms
first ⅓ avg 608ms → last ⅓ avg 558ms
Headshot accuracy9.3%−5.9%
first ⅓ avg 15.2% → last ⅓ avg 9.3%

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 →
33%Best headshot accuracy · 8–5 · inferno, 21 Aug →
344msFastest reaction time · 4–9 · inferno, 25 Oct →
13–0Biggest win · nuke, 31 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
17Overtime games

Map breakdown

anubisBest map · 59% over 17infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB209–1145%0.01
anubisA1710–759%0.01
dust2A169–756%-0.00
nukeB158–753%0.00
mirageB115–645%0.00
cacheA116–555%0.04
infernoC104–640%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,032Lifetime kills
1.10K/D · Top 25% of Blue band
4,112Matches
47.8%Match win rate · Top 25% of Blue band
34.5%Headshot %
8.4%Shot accuracy
11,265MVPs
1,596Hours (in match)
3,693Bombs planted
843Bombs defused

Most-used weapons

AWP15,115
AK-4714,249
Molotov3,525
HE Grenade3,279
SSG 082,789
MAC-102,444

Lifetime map wins

5,018inferno
3,662dust2
2,559nuke
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
Dust23743%0.9615.6
Anubis3751%1.1718.6
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.

9.5%Headshot accuracy
35.6%Accuracy (enemy spotted)
37.5%Spray accuracy
75.5%Counter-strafing
9.8°Preaim
572msReaction time
65.3%T opening success
53.8%CT opening success
0.43Enemies flashed / flash
9.4%Flash assists
12.71HE damage / grenade
4.92Flashes / 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 9.5108% — 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 0.4252 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.076%2 Nov →
dust29–13-0.0513%1 Nov →
dust216–140.0415%31 Oct →
nuke13–9-0.007%31 Oct →
dust213–80.0612%30 Oct →
dust213–70.036%27 Oct →
mirage13–9-0.056%27 Oct →
inferno13–90.0611%27 Oct →
ancient13–30.067%27 Oct →
anubis5–13-0.0313%27 Oct →
mirage11–130.004%25 Oct →
inferno4–9-0.007%25 Oct →
anubis8–130.013%25 Oct →
anubis13–7-0.029%23 Oct →
dust213–16-0.058%23 Oct →
ancient13–110.037%22 Oct →
ancient14–160.029%22 Oct →
mirage13–110.0114%19 Oct →
dust26–13-0.0419%19 Oct →
anubis14–16-0.048%19 Oct →
ancient13–70.057%17 Oct →
ancient6–130.002%17 Oct →
mirage8–130.0215%15 Oct →
ancient13–60.022%14 Oct →
dust213–40.0414%13 Oct →
dust29–13-0.0112%12 Oct →
mirage13–60.006%12 Oct →
inferno6–13-0.0119%11 Oct →
cache13–60.0217%11 Oct →
nuke9–13-0.035%10 Oct →
inferno13–10-0.0110%10 Oct →
anubis13–100.053%10 Oct →
anubis13–80.0912%10 Oct →
anubis8–13-0.034%9 Oct →
nuke8–130.019%8 Oct →
ancient7–130.0915%8 Oct →
inferno16–140.019%5 Oct →
anubis16–120.087%2 Oct →
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 →

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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