云茹

云茹 — CS2 Stats

76561199101263098[U:1:1140997370]Steam profile ↗✓ No bans

1,235Tracked matches54%Win rate2025Tracked since
1,137Hours in CS5Hrs last 2 wks
CSDB Rating6.1 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

+60Tracked matches · now 1,235
+5.8ppWin rate · 48.0% → 53.8%

Rating over time

Faceit ELO: 1,000 +0 30 Aug – 8 Sept · 2 observations
1,0001,000peak 1,00030 Aug8 Sept
1,000Highest Faceit ELO seen on CSDB
33Days played since 2026-08-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GG云茹PEAK ELO1,000csdb.gg/stats

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Performance scores

Aim72
Positioning54
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–38–11Last 10051%Win rateWLLTLWWTWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +7.1pp headshot accuracy · −17ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 24%
  • Avg reaction 605ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 626ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 634ms

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 (+1.7 against its own average).

Aim7.2
Utility5.4
Positioning5.4
Opening Duels2.1
Clutch1.8

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 51% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 622ms 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

Aim7.2
Positioning5.4
Utility5.4
Mechanics7.2
Opening Duels3.5
Win Impact6.3

Composite 6.1/10 (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 -0.02 → last ⅓ avg -0.01
Reaction time614ms+9ms
first ⅓ avg 605ms → last ⅓ avg 614ms
Headshot accuracy19.1%+1.6%
first ⅓ avg 17.5% → last ⅓ avg 19.1%

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

0.12Best match rating · 11–13 · office, 2 Oct →
36%Best headshot accuracy · 5–13 · anubis, 28 Oct →
438msFastest reaction time · 13–8 · nuke, 16 Aug →
13–2Biggest win · inferno, 30 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–8In matches decided by ≤2 rounds

Map breakdown

officeBest map · 57% over 14anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB1910–953%-0.02
dust2B199–1047%-0.01
officeA148–657%0.00
mirageC125–742%-0.03
anubisD93–633%-0.02
ancientA74–357%-0.02
vertigoB63–350%-0.02
cache—42–250%-0.00
overpass—33–0100%-0.02
nuke—31–233%-0.00
train—21–150%-0.07
fachwerk—22–0100%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,823Lifetime kills
1.12K/D · Top 50% of tracked players
1,562Matches
55.1%Match win rate · Top 5% of tracked players
47.0%Headshot % · Top 50% of tracked players
0.1%Shot accuracy
3,061MVPs
616Hours (in match)
642Bombs planted
340Bombs defused

Most-used weapons

Lifetime map wins

4,059dust2
2,210inferno
1,533nuke
977vertigo
512office
321train
66italy
45assault

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

Faceit stats

Combat

5Matches
60%Win rate
1.03Avg K/D
67.0ADR
30%Headshot %

Clutches & streaks

29%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2250%0.9612.0
Nuke10%0.000.0
Mirage1100%1.0016.0
Ancient1100%2.2022.0

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.

19.6%Headshot accuracy
34.9%Accuracy (enemy spotted)
37.0%Spray accuracy
82.5%Counter-strafing
9.6°Preaim
622msReaction time
51.5%T opening success
36.2%CT opening success
0.54Enemies flashed / flash
12.5%Flash assists
10.15HE damage / grenade
4.11Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.1868% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0424%1 Nov →
mirage9–13-0.0422%28 Oct →
anubis5–13-0.0436%28 Oct →
office12–12-0.0822%23 Oct →
inferno10–13-0.0417%22 Oct →
mirage13–50.0216%21 Oct →
dust213–80.0526%21 Oct →
inferno12–12-0.0418%3 Oct →
office13–100.0333%3 Oct →
ancient7–130.0126%3 Oct →
mirage13–110.0218%3 Oct →
cache13–110.0019%3 Oct →
mirage12–12-0.0528%2 Oct →
inferno13–9-0.059%2 Oct →
vertigo7–13-0.0611%2 Oct →
anubis7–13-0.0310%2 Oct →
office11–130.1223%2 Oct →
office5–13-0.0718%1 Oct →
overpass13–5-0.0217%1 Oct →
inferno13–10-0.0015%30 Sept →
ancient13–5-0.0212%30 Sept →
anubis12–12-0.0024%30 Sept →
office5–13-0.0332%30 Sept →
vertigo13–90.0311%30 Sept →
inferno13–10-0.0112%28 Sept →
dust26–130.0424%28 Sept →
ancient11–13-0.0313%26 Sept →
inferno11–13-0.0220%26 Sept →
dust213–40.0320%26 Sept →
inferno13–50.0718%25 Sept →
ancient13–9-0.0313%25 Sept →
inferno7–13-0.0414%25 Sept →
office5–13-0.0314%24 Sept →
cache7–130.0130%24 Sept →
vertigo6–13-0.0716%24 Sept →
inferno13–110.0117%23 Sept →
dust212–12-0.036%23 Sept →
office13–40.1019%21 Sept →
ancient8–13-0.0324%21 Sept →
inferno13–5-0.063%21 Sept →
office13–8-0.027%21 Sept →
nuke12–120.0019%20 Sept →
overpass13–9-0.058%19 Sept →
anubis13–40.045%19 Sept →
cache8–13-0.0220%19 Sept →
office13–100.1113%19 Sept →
mirage13–9-0.0712%18 Sept →
dust213–90.0515%18 Sept →
anubis10–13-0.0011%17 Sept →
inferno4–13-0.0619%17 Sept →
office13–6-0.027%17 Sept →
cache13–30.0021%17 Sept →
train13–11-0.1021%17 Sept →
office10–13-0.0812%17 Sept →
fachwerk13–9-0.0114%17 Sept →
office13–7-0.0411%16 Sept →
inferno9–13-0.0314%16 Sept →
anubis13–8-0.0617%16 Sept →
dust213–10-0.0617%16 Sept →
mirage5–13-0.0820%16 Sept →
dust212–12-0.0322%4 Sept →
dust27–3-0.015%4 Sept →
ancient13–80.0120%4 Sept →
dust29–13-0.0733%4 Sept →
inferno13–2-0.0210%30 Aug →
dust213–9-0.077%30 Aug →
mirage13–50.0220%30 Aug →
dust28–13-0.0819%30 Aug →
ancient13–8-0.0420%28 Aug →
mirage11–130.0017%23 Aug →
inferno13–9-0.0229%19 Aug →
dust213–40.037%19 Aug →
mirage12–12-0.0117%19 Aug →
dust211–130.0014%19 Aug →
nuke13–8-0.0014%16 Aug →
train12–12-0.0516%13 Aug →
inferno11–13-0.0119%13 Aug →
dust25–13-0.0513%13 Aug →
inferno11–13-0.0525%13 Aug →
dust213–8-0.0421%12 Aug →
mirage13–7-0.0818%12 Aug →
anubis1–13-0.1123%10 Aug →
dust24–13-0.0417%10 Aug →
mirage4–13-0.0413%10 Aug →
mirage5–13-0.0632%8 Aug →
vertigo12–12-0.0125%8 Aug →
nuke11–13-0.0016%8 Aug →
office13–11-0.0026%7 Aug →
dust26–13-0.0214%7 Aug →
anubis12–120.006%7 Aug →
office13–110.0618%7 Aug →
inferno6–20.009%7 Aug →
fachwerk13–90.0118%7 Aug →
vertigo13–90.0220%7 Aug →
anubis13–40.0312%7 Aug →
dust213–110.0318%6 Aug →
inferno9–13-0.0417%6 Aug →
overpass13–110.0312%5 Aug →
vertigo13–4-0.0227%5 Aug →
dust210–130.048%5 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.