xiao xiao

xiao xiao — CS2 Stats

VG76561198050002298[U:1:89736570]Steam profile ↗✓ No bans

352Tracked matches62%Win rate2022Tracked since
498Hours in CS
CSDB Rating6.5 SolidAll-Rounder
Premier CS Rating15,528Purple band · top ~26.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 352 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,528 +2,445 13 May – 30 Oct · 21 days played
13,08316,115peak 16,11513 May30 Oct
16,115Peak Premier in tracked matches
29Days played since 2026-05-12

Premier CS Rating

  • 587 below peak (16,115)
  • 0 over 30 days · steady
  • +1,880 over 90 days
  • Next: Pink band at 20,000 — 4,472 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.3%44.4%46.9%6.6% short
Shot accuracy11.0%11.9%13.0%1.9% short
Kill/death ratio0.861.031.080.22 short
Match win rate40.5%45.2%46.7%6.2% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Share this profile

CSDB.GGxiao xiaoPREMIER15,528 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning50
Utility37

0–100 skill scores via Leetify.

Recent form

HOT56–39–5Last 10056%Win rateLLWWWLWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +3.7pp headshot accuracy · −40ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 553ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 551ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 571ms

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.

Aim8.2
Utility3.7
Positioning5.0
Opening Duels4.7

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

donk

Plays most like donk 90% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 585ms 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

Aim8.2
Positioning5.0
Utility3.7
Mechanics7.8
Opening Duels3.9
Win Impact9.0

Composite 6.5/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time590ms−18ms
first ⅓ avg 608ms → last ⅓ avg 590ms
Headshot accuracy20.1%−0.2%
first ⅓ avg 20.3% → last ⅓ avg 20.1%

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

0.11Best match rating · 13–11 · cache, 14 May →
48%Best headshot accuracy · 6–13 · mirage, 28 Aug →
438msFastest reaction time · 13–7 · nuke, 13 May →
13–3Biggest win · inferno, 10 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
10–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 85% over 13dust2Weakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
mirageB2813–1546%-0.02
dust2C218–1338%-0.02
nukeS1311–285%0.02
cacheA127–558%-0.01
infernoS107–370%0.01
ancientS96–367%0.00
anubisA53–260%0.02
vertigo—11–0100%-0.03
overpass—10–10%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,591Lifetime kills
0.86K/D
1,286Matches
40.5%Match win rate
40.3%Headshot %
11.0%Shot accuracy
2,567MVPs
498Hours (in match)
946Bombs planted
234Bombs defused

Most-used weapons

Lifetime map wins

4,289dust2
1,511nuke
1,279inferno
398vertigo
149office
29train
24cbble
14italy

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.

20.0%Headshot accuracy
38.5%Accuracy (enemy spotted)
38.8%Spray accuracy
85.0%Counter-strafing
9.4°Preaim
585msReaction time
39.2%T opening success
51.7%CT opening success
0.48Enemies flashed / flash
3.4%Flash assists
8.05HE damage / grenade
2.26Flashes / 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. 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 0.4772 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 39.1644% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0217%10 Sept →
mirage6–130.0148%28 Aug →
inferno13–60.0220%20 Aug →
cache16–12-0.0217%19 Aug →
ancient13–110.0130%19 Aug →
ancient13–16-0.0425%14 Aug →
cache13–4-0.058%14 Aug →
nuke13–110.0424%14 Aug →
nuke16–140.0424%14 Aug →
mirage13–4-0.0217%13 Aug →
mirage11–13-0.0416%13 Aug →
nuke7–130.0120%13 Aug →
ancient13–70.0614%13 Aug →
anubis13–80.0122%13 Aug →
anubis13–100.0417%11 Aug →
mirage4–13-0.0617%11 Aug →
inferno13–110.0222%11 Aug →
dust210–130.0820%11 Aug →
inferno13–30.0330%10 Aug →
inferno13–5-0.0616%10 Aug →
ancient13–60.0218%10 Aug →
mirage16–14-0.0213%10 Aug →
mirage13–30.0012%10 Aug →
ancient9–13-0.0516%10 Aug →
mirage15–15-0.0414%7 Aug →
dust213–3-0.1013%6 Aug →
dust210–130.0221%6 Aug →
anubis13–60.0628%6 Aug →
dust213–16-0.0614%5 Aug →
inferno11–130.0426%5 Aug →
cache3–13-0.0920%13 Jul →
dust24–13-0.0712%13 Jul →
dust213–90.0233%12 Jul →
anubis10–13-0.0218%25 Jun →
inferno11–13-0.0330%19 Jun →
mirage0–13-0.030%15 Jun →
nuke13–80.0417%15 Jun →
dust213–10-0.0414%5 Jun →
vertigo13–6-0.0315%30 May →
cache13–110.0524%28 May →
cache10–130.0011%28 May →
mirage12–120.0217%28 May →
mirage8–130.0119%28 May →
mirage13–6-0.0513%26 May →
ancient16–13-0.0229%26 May →
anubis15–150.0121%26 May →
mirage13–11-0.0318%25 May →
dust28–13-0.0426%25 May →
dust28–13-0.0118%25 May →
dust213–70.0216%25 May →
dust213–7-0.0716%21 May →
dust28–13-0.0614%21 May →
cache10–130.0223%21 May →
cache13–10-0.0416%21 May →
dust212–12-0.0118%20 May →
dust210–130.0319%20 May →
cache13–60.0118%18 May →
inferno6–13-0.0223%18 May →
mirage13–6-0.0316%18 May →
dust211–13-0.050%18 May →
mirage9–13-0.0117%17 May →
cache11–13-0.0736%17 May →
mirage13–10-0.0721%15 May →
mirage0–13-0.0916%15 May →
dust213–110.0120%15 May →
mirage13–90.0422%15 May →
mirage13–3-0.0117%15 May →
inferno13–5-0.0224%15 May →
nuke13–60.0111%15 May →
nuke13–60.0217%15 May →
cache13–7-0.0113%15 May →
dust213–8-0.0231%15 May →
cache13–110.1123%14 May →
dust212–12-0.0122%14 May →
nuke16–14-0.0025%14 May →
mirage13–30.0423%14 May →
dust213–50.0226%14 May →
dust28–13-0.0619%14 May →
nuke11–13-0.0311%14 May →
inferno13–40.0721%14 May →
mirage8–13-0.0630%14 May →
ancient5–13-0.0425%14 May →
mirage11–13-0.0321%14 May →
nuke13–100.0510%14 May →
ancient13–60.0425%13 May →
nuke13–70.0717%13 May →
mirage0–6-0.0630%13 May →
mirage4–13-0.0429%13 May →
inferno13–100.0530%13 May →
nuke13–70.0118%13 May →
overpass8–130.0416%13 May →
cache10–130.0217%13 May →
nuke13–9-0.0222%13 May →
mirage0–13-0.1017%13 May →
dust211–13-0.0214%12 May →
mirage13–70.0518%12 May →
ancient13–100.0416%12 May →
mirage13–4-0.0515%12 May →
nuke13–90.0413%12 May →
mirage13–90.0420%12 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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