hello kitty

hello kitty — CS2 Stats

AU76561198330212063[U:1:369946335]Steam profile ↗✓ No bans

1,427Tracked matches71%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating23,296Top 25% of 205,416 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#38930 of 252653 tracked
FaceitLevel 8 · 1,914 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 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: 23,296 +3,767 15 May – 14 Oct · 35 days played
19,52924,394peak 24,39415 May14 Oct
Faceit ELO: 1,914 +0 31 Aug – 23 Sept · 5 observations
1,9141,914peak 1,91431 Aug23 Sept
24,394Peak Premier in tracked matches
1,914Highest Faceit ELO seen on CSDB
57Days played since 2026-05-06

Faceit ELO

  • At peak — 1,914
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 87 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-31
  • Level 8 first seen 2026-08-31

Premier CS Rating

  • 1,098 below peak (24,394)
  • -400 over 30 days · steady
  • Next: Red band at 25,000 — 1,704 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.

Share this profile

CSDB.GGhello kittyFACEITLevel 8 · 1,914 ELOSTANDINGTop 31.2% of rankedPREMIER23,296 · Pink band30 DAYS0 ELOPEAK ELO1,914csdb.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

Aim71
Positioning61
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY65–28–7Last 10065%Win rateWWWTLWLTLW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · −4.3pp headshot accuracy · −75ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 428ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 471ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 508ms

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 (+1.9 against its own average).

Aim7.1
Utility6.5
Positioning6.1
Opening Duels2.8
Clutch3.2

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 87% 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 →

CSDB Rating breakdown

Aim7.1
Positioning6.1
Utility6.5
Mechanics5.5
Opening Duels3.0
Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time516ms−46ms
first ⅓ avg 562ms → last ⅓ avg 516ms
Headshot accuracy17.3%−0.5%
first ⅓ avg 17.9% → last ⅓ avg 17.3%

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

0.23Best match rating · 8–6 · rush_001, 3 Oct →
67%Best headshot accuracy · 3–0 · dust2, 26 Sept →
344msFastest reaction time · 13–5 · inferno, 11 Oct →
13–1Biggest win · cache, 27 Aug →

Across the last 100 tracked matches.

Highlights

13Longest win streak
W3Current streak
12–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 78% over 23anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A3018–1260%-0.01
mirageS2318–578%0.01
cacheA149–564%0.01
infernoS107–370%-0.01
nukeA85–363%0.02
anubisC83–538%0.02
ancient—32–167%-0.01
rush_001—11–0100%0.23
debris—11–0100%0.15
vertigo—10–10%0.04
office—11–0100%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,036Matches
53%Win rate
0.97Avg K/D
64.8ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3155%0.8511.3
Dust21540%0.7211.7
Inferno1443%0.7813.3
Anubis1258%0.7012.1
Ancient838%0.7211.8
Nuke6100%1.2013.2
Vertigo1100%1.1022.0
Overpass10%0.7512.0

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.

16.6%Headshot accuracy
32.8%Accuracy (enemy spotted)
38.1%Spray accuracy
74.7%Counter-strafing
9.3°Preaim
508msReaction time
38.4%T opening success
45.4%CT opening success
0.69Enemies flashed / flash
7.1%Flash assists
9.91HE damage / grenade
13.95Flashes / 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

    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 38.4245% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0418%14 Oct →
inferno13–70.0128%11 Oct →
inferno13–5-0.0413%11 Oct →
inferno15–15-0.0117%11 Oct →
cache3–13-0.067%10 Oct →
mirage13–40.0215%7 Oct →
ancient9–13-0.0213%4 Oct →
dust212–120.0728%4 Oct →
dust25–130.0516%3 Oct →
rush_0018–60.2320%3 Oct →
ancient13–11-0.0021%1 Oct →
dust20–13-0.085%30 Sept →
nuke13–70.0124%29 Sept →
mirage13–60.1217%29 Sept →
inferno11–13-0.0230%29 Sept →
dust213–7-0.0420%27 Sept →
dust213–11-0.0418%26 Sept →
dust23–00.0167%26 Sept →
dust213–10-0.048%19 Sept →
anubis7–130.009%17 Sept →
dust29–13-0.0619%13 Sept →
dust26–13-0.029%11 Sept →
debris9–10.1513%8 Sept →
nuke8–80.0116%8 Sept →
mirage13–10-0.0114%8 Sept →
dust213–60.0415%6 Sept →
mirage13–8-0.0112%6 Sept →
inferno13–100.1114%6 Sept →
cache11–50.007%4 Sept →
dust213–7-0.0314%4 Sept →
inferno13–2-0.005%3 Sept →
anubis16–120.0017%2 Sept →
dust213–90.0524%1 Sept →
mirage13–9-0.0128%28 Aug →
mirage13–60.1313%28 Aug →
ancient13–11-0.0317%28 Aug →
dust213–80.0527%28 Aug →
inferno8–8-0.069%27 Aug →
cache13–8-0.0320%27 Aug →
cache13–1-0.038%27 Aug →
inferno13–11-0.068%27 Aug →
mirage13–7-0.0020%26 Aug →
dust22–13-0.0810%25 Aug →
dust213–60.0412%24 Aug →
dust216–130.0319%24 Aug →
mirage13–110.0922%24 Aug →
mirage16–140.0612%24 Aug →
cache13–110.0413%23 Aug →
dust213–7-0.0032%22 Aug →
dust213–10.0225%22 Aug →
cache5–13-0.0418%22 Aug →
anubis3–130.0521%22 Aug →
mirage5–13-0.026%21 Aug →
anubis7–130.0313%21 Aug →
nuke13–60.0921%20 Aug →
dust213–5-0.0717%19 Aug →
mirage9–13-0.0214%19 Aug →
mirage13–90.0217%17 Aug →
dust213–30.0626%17 Aug →
anubis9–130.0215%16 Aug →
anubis13–6-0.0516%14 Aug →
mirage16–12-0.057%14 Aug →
mirage13–110.0319%14 Aug →
nuke2–13-0.0628%14 Aug →
mirage13–70.0515%13 Aug →
dust24–13-0.0825%10 Aug →
cache13–80.0618%10 Aug →
dust22–13-0.0910%10 Aug →
vertigo11–130.0413%10 Aug →
dust213–80.0118%9 Aug →
nuke15–15-0.0111%1 Aug →
nuke13–40.0830%25 Jul →
office13–40.0326%25 Jul →
anubis13–30.1326%21 Jul →
anubis11–13-0.0220%1 Jul →
mirage15–15-0.0211%1 Jul →
cache13–70.0110%12 Jun →
dust24–13-0.0913%10 Jun →
dust211–13-0.006%4 Jun →
mirage11–13-0.0619%2 Jun →
mirage16–14-0.038%1 Jun →
mirage9–13-0.0931%25 May →
mirage13–1-0.0127%22 May →
dust211–13-0.0028%22 May →
dust25–13-0.0123%22 May →
mirage13–4-0.0124%21 May →
nuke13–5-0.0114%20 May →
mirage6–00.0721%20 May →
mirage16–140.0314%20 May →
dust213–5-0.0119%20 May →
inferno13–10-0.0113%19 May →
nuke13–60.0423%19 May →
dust213–10.0114%19 May →
cache13–100.0316%17 May →
cache11–130.0117%16 May →
inferno13–9-0.0416%15 May →
cache13–110.0219%14 May →
cache13–60.0619%9 May →
cache6–120.0311%9 May →
cache12–12-0.0119%6 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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