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zorracigarro.mp3

zorracigarro.mp3 — CS2 Stats

76561199040907019[U:1:1080641291]Steam profile ↗✓ No bans

109Tracked matches47%Win rate2026Tracked since
447Hours in CS68Hrs last 2 wks
CSDB Rating2.0 LearningPositional Player
Premier CS Rating1,200Grey band · top ~94.9% of ranked players (population est.)
CSDB Leaderboard#202253 of 251772 tracked
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (5 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: 1,200 -4,181 27 May – 9 Oct · 8 days played
1,2005,381peak 5,38127 May9 Oct
5,939Peak Premier in tracked matches
41Days played since 2026-05-27

Premier CS Rating

  • 4,181 below peak (5,381)
  • Next: Light Blue band at 5,000 — 3,800 to go
  • Reached: 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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate38.3%38.2%39.9%1.6% short
Shot accuracy7.3%3.6%7.0%above
Kill/death ratio0.730.830.920.19 short
Match win rate40.3%40.2%42.3%1.9% short

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

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

Share this profile

CSDB.GGzorracigarro.mp3PREMIER1,200 · Grey 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

Aim20
Positioning35
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY38–55–7Last 10038%Win rateWLLWLLLWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +2.6pp headshot accuracy · −4ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 634ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 642ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 644ms

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 (+2 against its own average).

Aim2.0
Utility2.4
Positioning3.5
Opening Duels0.0
Clutch0.0

Limited 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

ZywOo

Plays most like ZywOo 70% 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

Areas to improve

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim2.0
Positioning3.5
Utility2.4
Mechanics1.4
Opening Duels0.0
Win Impact3.9

Composite 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.07−0.01
first ⅓ avg -0.06 → last ⅓ avg -0.07
Reaction time632ms−122ms
first ⅓ avg 754ms → last ⅓ avg 632ms
Headshot accuracy10.9%−4.0%
first ⅓ avg 15.0% → last ⅓ avg 10.9%

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

0.05Best match rating · 2–0 · mirage, 22 Sept →
60%Best headshot accuracy · 5–0 · train, 12 Aug →
391msFastest reaction time · 2–0 · mirage, 22 Sept →
13–2Biggest win · dust2, 27 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
1–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 60% over 5anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%-0.06
mirageC239–1439%-0.05
infernoD216–1529%-0.08
vertigoD72–529%-0.10
ancientB63–350%-0.03
anubisD50–50%-0.04
cacheA53–260%-0.05
nukeD51–420%-0.08
train—31–233%-0.03
overpass—10–10%-0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,089Lifetime kills
0.73K/D
635Matches
40.3%Match win rate · Top 50% of Grey band
38.3%Headshot % · Top 50% of Grey band
7.3%Shot accuracy · Top 50% of Grey band
903MVPs
182Hours (in match)
359Bombs planted
121Bombs defused

Most-used weapons

M4A4 / M4A1-S1,457
AK-471,195
AWP512
P2000 / USP-S510
Desert Eagle458
MP7361
Glock-18298
SSG 08217
Galil AR194
AUG172

Lifetime map wins

740dust2
578inferno
345nuke
162vertigo
41office
41train
18lake
2assault

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

Faceit stats

Combat

1Matches
0%Win rate
0.81Avg K/D
62.3ADR
31%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

12.4%Headshot accuracy
25.9%Accuracy (enemy spotted)
26.1%Spray accuracy
56.5%Counter-strafing
10.1°Preaim
621msReaction time
28.3%T opening success
16.8%CT opening success
0.31Enemies flashed / flash
0.9%Flash assists
8.08HE damage / grenade
3.02Flashes / 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 12.4048% — 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 0.3106 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 28.2918% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0511%14 Oct →
dust22–13-0.0515%14 Oct →
train6–13-0.027%12 Oct →
dust213–10-0.0524%12 Oct →
inferno4–9-0.140%11 Oct →
inferno11–13-0.0815%10 Oct →
dust29–13-0.0413%9 Oct →
dust27–1-0.0211%9 Oct →
mirage13–10-0.0717%9 Oct →
anubis8–130.038%9 Oct →
cache13–3-0.033%7 Oct →
mirage7–13-0.0714%7 Oct →
ancient13–70.006%6 Oct →
nuke2–11-0.068%6 Oct →
nuke8–8-0.077%5 Oct →
inferno6–9-0.119%5 Oct →
mirage6–130.0118%5 Oct →
mirage13–50.018%5 Oct →
mirage13–4-0.1110%4 Oct →
dust25–13-0.0913%4 Oct →
mirage3–13-0.1012%4 Oct →
inferno9–6-0.137%3 Oct →
inferno7–9-0.194%30 Sept →
overpass3–9-0.130%30 Sept →
anubis11–13-0.077%29 Sept →
dust26–13-0.0620%29 Sept →
dust213–2-0.0333%27 Sept →
cache13–5-0.076%27 Sept →
ancient6–13-0.014%27 Sept →
nuke7–9-0.0816%27 Sept →
vertigo4–9-0.194%26 Sept →
inferno6–9-0.1424%26 Sept →
dust213–6-0.0510%26 Sept →
dust213–10-0.0514%26 Sept →
mirage8–13-0.049%26 Sept →
vertigo7–13-0.088%26 Sept →
ancient3–13-0.0620%25 Sept →
mirage13–7-0.0822%25 Sept →
vertigo9–5-0.0918%25 Sept →
vertigo13–10-0.089%25 Sept →
vertigo12–12-0.047%25 Sept →
ancient12–12-0.079%22 Sept →
inferno5–13-0.0615%22 Sept →
inferno12–12-0.0833%22 Sept →
mirage2–00.050%22 Sept →
mirage6–13-0.0426%21 Sept →
ancient13–2-0.0314%21 Sept →
anubis4–13-0.0715%21 Sept →
anubis14–160.0019%20 Sept →
inferno8–80.0114%15 Sept →
cache13–3-0.0131%14 Sept →
nuke9–5-0.077%14 Sept →
inferno4–13-0.116%12 Sept →
ancient13–7-0.0511%12 Sept →
inferno13–2-0.0111%12 Sept →
mirage13–5-0.0514%11 Sept →
inferno7–13-0.0827%11 Sept →
dust22–13-0.109%11 Sept →
dust27–13-0.077%11 Sept →
dust21–13-0.089%29 Aug →
inferno3–9-0.1625%26 Aug →
dust213–10-0.0617%24 Aug →
dust213–10-0.1111%24 Aug →
inferno13–2-0.0911%24 Aug →
inferno13–10-0.0229%21 Aug →
inferno4–13-0.087%21 Aug →
inferno12–12-0.106%20 Aug →
mirage12–12-0.0715%20 Aug →
dust24–13-0.0213%20 Aug →
dust213–3-0.0710%17 Aug →
dust213–10-0.0810%17 Aug →
train4–13-0.040%12 Aug →
train5–0-0.0460%12 Aug →
mirage3–13-0.088%12 Aug →
mirage4–8-0.0117%12 Aug →
mirage13–6-0.088%12 Aug →
dust213–7-0.127%12 Aug →
mirage11–13-0.059%12 Aug →
dust213–20.0029%12 Aug →
inferno6–13-0.0224%12 Aug →
mirage11–13-0.0519%12 Aug →
dust213–10-0.038%11 Aug →
inferno1–13-0.0318%11 Aug →
cache8–13-0.0522%7 Aug →
vertigo3–9-0.117%27 Jul →
mirage13–40.0114%24 Jul →
mirage3–13-0.018%20 Jul →
mirage9–13-0.098%19 Jul →
inferno13–6-0.045%16 Jul →
mirage9–13-0.097%16 Jul →
cache9–13-0.0938%6 Jun →
vertigo3–13-0.110%3 Jun →
nuke5–13-0.118%3 Jun →
mirage13–16-0.0914%3 Jun →
dust27–13-0.033%29 May →
dust214–16-0.096%28 May →
dust213–10-0.0442%28 May →
dust20–13-0.0933%27 May →
anubis3–13-0.077%27 May →
mirage6–13-0.0519%27 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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