Hello Kitty

Hello Kitty — CS2 Stats

76561198160190853[U:1:199925125]Steam profile ↗✓ No bans

796Tracked matches57%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

+30Tracked matches · now 796
−2.0ppWin rate · 58.6% → 56.7%

Rating over time

37Days played since 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim66
Positioning36
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateWWLWLWWWLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −2.9pp headshot accuracy · +45ms 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 -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 563ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 564ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

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 (+2.3 against its own average).

Aim6.6
Utility5.3
Positioning3.6
Opening Duels0.0

Strong CT-side opener

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 81% 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

T-side openings. Opening success drops from 47% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 69% 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

Aim6.6
Positioning3.6
Utility5.3
Mechanics4.2
Opening Duels2.2
Win Impact7.2

Composite 5.1/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time551ms−61ms
first ⅓ avg 612ms → last ⅓ avg 551ms
Headshot accuracy13.1%−1.9%
first ⅓ avg 15.0% → last ⅓ avg 13.1%

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

0.08Best match rating · 13–10 · inferno, 19 Oct →
32%Best headshot accuracy · 2–13 · overpass, 26 Sept →
414msFastest reaction time · 7–13 · ancient, 1 Oct →
13–0Biggest win · dust2, 19 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
14–10In matches decided by ≤2 rounds
18Overtime games

Map breakdown

dust2Best map · 67% over 24mirageWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2S2416–867%-0.02
vertigoA1811–761%-0.02
anubisB158–753%-0.02
mirageC135–838%-0.02
nukeA85–363%-0.05
infernoC73–443%-0.03
ancientB63–350%-0.03
overpassA53–260%-0.03
cache—41–325%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

12.8%Headshot accuracy
39.4%Accuracy (enemy spotted)
40.9%Spray accuracy
69.0%Counter-strafing
10.9°Preaim
542msReaction time
21.3%T opening success
47.5%CT opening success
0.54Enemies flashed / flash
4.0%Flash assists
6.52HE damage / grenade
11.97Flashes / 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 12.8409% — below the 15% mark we flag

    Aim Training →
  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 21.3376% — below the 40% mark we flag

Spend your practice time on Mirage

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 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–40.0314%1 Nov →
mirage13–70.049%1 Nov →
anubis11–13-0.048%31 Oct →
dust213–7-0.0515%31 Oct →
vertigo2–13-0.0616%30 Oct →
anubis13–9-0.034%30 Oct →
vertigo13–5-0.0118%29 Oct →
anubis13–7-0.0211%29 Oct →
vertigo7–130.0611%28 Oct →
dust28–13-0.0613%28 Oct →
dust26–13-0.0212%27 Oct →
anubis11–13-0.0116%27 Oct →
dust213–10-0.0215%27 Oct →
vertigo13–80.0321%26 Oct →
dust213–70.0021%26 Oct →
anubis9–13-0.097%25 Oct →
nuke6–13-0.1118%25 Oct →
mirage13–10-0.0721%25 Oct →
mirage13–8-0.018%25 Oct →
mirage6–13-0.0412%24 Oct →
vertigo13–10-0.0521%24 Oct →
overpass9–130.0615%24 Oct →
dust27–13-0.0410%23 Oct →
overpass13–40.0315%23 Oct →
ancient6–13-0.0110%23 Oct →
anubis13–9-0.034%23 Oct →
vertigo13–4-0.0313%23 Oct →
vertigo13–11-0.0717%22 Oct →
cache8–13-0.037%22 Oct →
dust219–17-0.019%22 Oct →
nuke13–10-0.0914%20 Oct →
dust217–19-0.0316%20 Oct →
vertigo16–14-0.0513%20 Oct →
vertigo8–130.0112%20 Oct →
inferno13–100.089%19 Oct →
ancient13–7-0.066%19 Oct →
dust213–00.0611%19 Oct →
dust211–13-0.1211%18 Oct →
mirage5–13-0.023%18 Oct →
mirage15–15-0.0810%18 Oct →
cache13–50.0024%18 Oct →
nuke13–10-0.0015%18 Oct →
mirage10–130.0614%17 Oct →
dust213–100.0113%17 Oct →
cache6–13-0.012%16 Oct →
mirage10–130.0113%16 Oct →
vertigo13–90.0513%16 Oct →
vertigo12–16-0.0513%15 Oct →
vertigo13–7-0.0112%15 Oct →
dust213–11-0.0120%15 Oct →
nuke19–17-0.0215%14 Oct →
dust213–100.0416%14 Oct →
vertigo16–140.028%14 Oct →
nuke11–13-0.0810%13 Oct →
mirage11–13-0.0914%13 Oct →
anubis14–160.0215%12 Oct →
dust213–50.0528%11 Oct →
anubis12–16-0.0120%11 Oct →
overpass13–8-0.0711%10 Oct →
anubis11–10.0623%10 Oct →
cache10–130.0010%7 Oct →
ancient12–16-0.0613%7 Oct →
vertigo8–13-0.0211%6 Oct →
dust211–13-0.0716%6 Oct →
vertigo5–13-0.0511%5 Oct →
anubis13–70.0116%5 Oct →
dust23–13-0.0719%5 Oct →
anubis16–12-0.0721%4 Oct →
inferno11–13-0.1014%4 Oct →
dust28–13-0.0017%2 Oct →
inferno13–11-0.0113%2 Oct →
vertigo13–10-0.0311%1 Oct →
ancient7–13-0.0418%1 Oct →
dust216–140.0117%1 Oct →
dust213–10-0.0015%30 Sept →
nuke13–10-0.0314%30 Sept →
anubis13–16-0.0115%30 Sept →
nuke13–11-0.0118%29 Sept →
dust213–20.0114%29 Sept →
vertigo9–13-0.0314%29 Sept →
dust216–14-0.0422%28 Sept →
ancient16–13-0.0124%28 Sept →
inferno10–13-0.0610%28 Sept →
mirage7–13-0.0514%28 Sept →
mirage13–50.0820%28 Sept →
inferno21–25-0.069%27 Sept →
mirage13–10-0.0813%26 Sept →
overpass2–13-0.0832%26 Sept →
anubis4–13-0.077%26 Sept →
inferno13–10-0.0017%24 Sept →
dust213–11-0.069%24 Sept →
mirage7–13-0.087%23 Sept →
inferno14–16-0.0210%23 Sept →
vertigo13–11-0.0614%23 Sept →
ancient13–4-0.014%22 Sept →
dust210–00.0025%22 Sept →
overpass13–11-0.0821%22 Sept →
nuke9–13-0.0419%22 Sept →
anubis13–11-0.037%22 Sept →
dust222–18-0.0611%21 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 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.