yauq

yauq — CS2 Stats

RU76561198837390098[U:1:877124370]Steam profile ↗✓ No bans

461Tracked matches37%Win rate2025Tracked since
619Hours in CS57Hrs last 2 wks
CSDB Rating3.2 LearningSupport
Premier CS Rating11,673Blue band · top ~46% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 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

11,673Peak Premier in tracked matches
28Days played since 2026-05-07

Premier CS Rating

  • At peak — 11,673
  • Next: Purple band at 15,000 — 3,327 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 rate48.6%42.0%44.3%above
Shot accuracy0.7%9.6%11.9%11.2% short
Kill/death ratio0.720.981.030.31 short
Match win rate49.1%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.GGyauqPREMIER11,673 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning42
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWLLLLWWWLW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +11.5pp headshot accuracy · +112ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 650ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 666ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 610ms

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: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim3.3
Utility4.4
Positioning4.2
Opening Duels1.7

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 72% 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. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.3
Positioning4.2
Utility4.4
Mechanics3.9
Opening Duels2.6
Win Impact0.6

Composite 3.2/10 (Learning), 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-0.05+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time585ms+0ms
first ⅓ avg 584ms → last ⅓ avg 585ms
Headshot accuracy16.9%−0.1%
first ⅓ avg 17.0% → last ⅓ avg 16.9%

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

0.12Best match rating · 13–4 · vertigo, 25 Sept →
58%Best headshot accuracy · 3–13 · nuke, 15 May →
359msFastest reaction time · 9–13 · nuke, 3 Oct →
13–1Biggest win · overpass, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

officeBest map · 71% over 7cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC176–1135%-0.07
infernoB179–853%-0.03
dust2A169–756%-0.03
nukeC146–843%-0.04
cacheD82–625%-0.05
vertigoC83–538%-0.04
officeS75–271%-0.05
overpass—43–175%-0.05
ancient—41–325%-0.07
anubis—42–250%-0.05
train—11–0100%0.00

Across the last 100 tracked matches.

Lifetime stats

8,171Lifetime kills
0.72K/D
633Matches
49.1%Match win rate · Top 25% of Blue band
48.6%Headshot % · Top 25% of Blue band
0.7%Shot accuracy
975MVPs
216Hours (in match)
270Bombs planted
130Bombs defused

Most-used weapons

Lifetime map wins

948inferno
835dust2
835nuke
463vertigo
195train
97office
3ar_shoots
1ar_monastery

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.2%Headshot accuracy
28.1%Accuracy (enemy spotted)
30.6%Spray accuracy
67.6%Counter-strafing
13.1°Preaim
585msReaction time
44.4%T opening success
36.3%CT opening success
0.58Enemies flashed / flash
6.9%Flash assists
6.47HE damage / grenade
6.20Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1102° — above the 12° mark we flag

    Aim Training →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–40.0227%10 Oct →
cache9–13-0.0817%10 Oct →
mirage6–13-0.0417%10 Oct →
inferno12–16-0.0614%10 Oct →
mirage13–16-0.0725%9 Oct →
train13–20.0017%9 Oct →
overpass13–1-0.0423%9 Oct →
nuke13–100.0120%9 Oct →
inferno1–13-0.0822%5 Oct →
dust213–9-0.0920%5 Oct →
mirage7–13-0.106%5 Oct →
office1–13-0.1414%5 Oct →
nuke9–13-0.118%4 Oct →
dust211–13-0.088%4 Oct →
dust27–13-0.058%4 Oct →
ancient6–13-0.088%4 Oct →
inferno14–16-0.0514%4 Oct →
nuke9–13-0.0715%3 Oct →
mirage13–7-0.065%3 Oct →
dust25–13-0.060%2 Oct →
inferno13–60.0518%2 Oct →
cache13–30.0817%2 Oct →
overpass11–13-0.0518%1 Oct →
mirage13–4-0.0650%1 Oct →
mirage6–13-0.0732%1 Oct →
mirage13–11-0.1125%1 Oct →
inferno10–13-0.129%1 Oct →
anubis9–13-0.0421%30 Sept →
ancient13–8-0.0314%30 Sept →
mirage9–13-0.024%30 Sept →
nuke3–13-0.0912%30 Sept →
inferno13–5-0.026%30 Sept →
dust213–20.0943%29 Sept →
dust213–60.0840%29 Sept →
dust213–60.0423%29 Sept →
ancient4–13-0.097%29 Sept →
mirage10–13-0.0016%29 Sept →
ancient7–13-0.0815%29 Sept →
dust213–5-0.0317%29 Sept →
anubis13–9-0.027%29 Sept →
nuke15–15-0.0611%28 Sept →
inferno13–10-0.0720%28 Sept →
dust23–10-0.0318%28 Sept →
vertigo6–13-0.0515%28 Sept →
inferno13–10-0.0221%28 Sept →
cache13–10-0.0117%28 Sept →
inferno13–7-0.0216%28 Sept →
nuke13–8-0.049%28 Sept →
dust26–13-0.0713%27 Sept →
dust215–15-0.0322%27 Sept →
office8–130.017%27 Sept →
anubis13–6-0.0020%27 Sept →
vertigo4–13-0.0910%27 Sept →
nuke13–7-0.0110%27 Sept →
overpass13–9-0.0523%27 Sept →
nuke13–9-0.0418%27 Sept →
mirage13–11-0.0515%27 Sept →
inferno7–13-0.0533%27 Sept →
inferno5–13-0.0321%27 Sept →
mirage11–13-0.0817%26 Sept →
vertigo13–60.010%26 Sept →
inferno13–70.0029%26 Sept →
vertigo10–13-0.0620%26 Sept →
office12–50.0116%25 Sept →
inferno13–60.1018%25 Sept →
nuke13–40.0719%25 Sept →
vertigo13–40.1220%25 Sept →
inferno13–40.0827%25 Sept →
nuke12–12-0.0533%24 Sept →
office13–6-0.060%24 Sept →
dust213–11-0.0113%24 Sept →
inferno9–13-0.116%23 Sept →
cache3–13-0.075%23 Sept →
vertigo9–13-0.130%23 Sept →
vertigo13–3-0.040%23 Sept →
vertigo9–13-0.050%21 Sept →
anubis7–13-0.1119%21 Sept →
mirage12–12-0.0616%20 Sept →
cache5–13-0.1131%19 Sept →
inferno13–9-0.0923%19 Sept →
dust213–11-0.0313%18 Sept →
mirage13–7-0.0325%18 Sept →
cache5–13-0.0615%18 Sept →
nuke5–13-0.1029%18 Sept →
mirage3–13-0.0718%9 Aug →
mirage2–13-0.0911%4 Aug →
overpass13–11-0.0511%4 Aug →
mirage13–6-0.137%15 Jul →
nuke13–50.0522%15 Jul →
office11–7-0.0733%15 Jul →
dust28–13-0.120%12 Jul →
office13–10-0.0750%12 Jul →
dust213–6-0.105%12 Jul →
nuke5–13-0.0720%26 Jun →
office13–5-0.0520%14 Jun →
mirage11–13-0.090%14 Jun →
cache1–10-0.0115%10 Jun →
inferno9–13-0.0724%10 Jun →
nuke3–13-0.0358%15 May →
cache11–13-0.1112%7 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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