hellokitty

hellokitty — CS2 Stats

AU76561199179756756[U:1:1219491028]Steam profile ↗✓ No bans

822Tracked matches62%Win rate2025Tracked since
325Hours in CS
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating13,161Blue band · top ~38.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (56 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: 13,161 +667 13 Aug – 9 Sept · 6 days played
12,49413,161peak 13,16113 Aug9 Sept
13,161Peak Premier in tracked matches
24Days played since 2026-08-10

Premier CS Rating

  • At peak — 13,161
  • +667 over 30 days · improving
  • Next: Purple band at 15,000 — 1,839 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

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 rate32.0%42.0%44.4%12.4% short
Shot accuracy0.0%9.6%11.9%11.8% short
Kill/death ratio0.750.981.030.29 short
Match win rate52.4%43.8%45.2%above

This profile matches the typical Purple band player on 1 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.GGhellokittyPREMIER13,161 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning33
Utility24

0–100 skill scores via Leetify.

Recent form

HOT55–39–6Last 10055%Win rateLLWLWWWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · −66ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 625ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 624ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 657ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim4.6
Utility2.4
Positioning3.3
Opening Duels0.0

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

iM

Plays most like iM 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 654ms 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

Aim4.6
Positioning3.3
Utility2.4
Mechanics6.8
Opening Duels0.0
Win Impact9.0

Composite 4.1/10 (Developing), 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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time653ms+33ms
first ⅓ avg 620ms → last ⅓ avg 653ms
Headshot accuracy11.6%+2.2%
first ⅓ avg 9.4% → last ⅓ avg 11.6%

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 · 13–2 · mirage, 14 Sept →
50%Best headshot accuracy · 2–0 · boulder, 17 Aug →
406msFastest reaction time · 8–13 · office, 18 Aug →
13–1Biggest win · dust2, 1 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–3In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 86% over 7mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
officeC156–940%-0.03
cacheC146–843%-0.05
infernoS119–282%-0.06
dust2S118–373%-0.05
vertigoA95–456%-0.04
mirageD91–811%-0.05
nukeD93–633%-0.04
ancientS76–186%-0.05
anubis—32–167%-0.05
boulder—32–167%-0.03
italy—21–150%-0.09
shelter—22–0100%-0.04
overpass—21–150%-0.02
fachwerk—22–0100%-0.03
train—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,334Lifetime kills
0.75K/D
892Matches
52.4%Match win rate · Top 5% of Blue band
32.0%Headshot %
0.0%Shot accuracy
1,005MVPs
325Hours (in match)
1,144Bombs planted
140Bombs defused

Most-used weapons

Lifetime map wins

2,262dust2
1,103inferno
841nuke
357train
337office
289vertigo
42italy

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.

10.7%Headshot accuracy
30.0%Accuracy (enemy spotted)
30.0%Spray accuracy
80.6%Counter-strafing
8.5°Preaim
654msReaction time
18.7%T opening success
21.8%CT opening success
0.30Enemies flashed / flash
1.5%Flash assists
5.69HE damage / grenade
2.78Flashes / 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 10.6665% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3009 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 18.7075% — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
italy11–13-0.088%3 Oct →
office6–13-0.077%3 Oct →
vertigo13–9-0.0514%3 Oct →
inferno6–13-0.0814%3 Oct →
cache13–11-0.0515%3 Oct →
inferno13–10-0.036%1 Oct →
dust213–1-0.0312%1 Oct →
office13–3-0.023%1 Oct →
anubis13–8-0.097%1 Oct →
cache13–40.0413%1 Oct →
boulder2–13-0.0719%1 Oct →
shelter13–60.0210%26 Sept →
office13–7-0.076%26 Sept →
vertigo13–9-0.058%26 Sept →
cache12–12-0.068%26 Sept →
cache8–13-0.0910%20 Sept →
overpass13–9-0.0213%19 Sept →
anubis13–4-0.0314%19 Sept →
cache8–13-0.0314%19 Sept →
office13–100.056%19 Sept →
mirage9–13-0.074%16 Sept →
dust213–8-0.0714%16 Sept →
nuke6–13-0.0213%16 Sept →
mirage13–20.1221%14 Sept →
ancient13–9-0.113%14 Sept →
dust213–10-0.0313%9 Sept →
ancient13–60.036%9 Sept →
nuke3–13-0.1013%9 Sept →
mirage1–13-0.0820%7 Sept →
cache5–13-0.0617%7 Sept →
anubis7–13-0.059%7 Sept →
inferno13–6-0.0532%5 Sept →
vertigo11–13-0.0914%5 Sept →
cache13–11-0.0613%5 Sept →
nuke8–13-0.078%5 Sept →
office12–12-0.006%31 Aug →
vertigo13–10-0.0112%31 Aug →
cache4–13-0.086%31 Aug →
office13–10.048%29 Aug →
inferno13–11-0.079%29 Aug →
cache10–2-0.045%29 Aug →
inferno13–9-0.0511%28 Aug →
office8–130.0223%27 Aug →
cache6–13-0.0721%27 Aug →
fachwerk13–9-0.0215%22 Aug →
office5–13-0.100%22 Aug →
vertigo9–13-0.0419%22 Aug →
inferno4–1-0.030%22 Aug →
mirage10–13-0.0812%22 Aug →
cache13–9-0.077%22 Aug →
ancient10–13-0.078%21 Aug →
overpass12–12-0.016%21 Aug →
nuke12–12-0.045%21 Aug →
dust29–13-0.034%21 Aug →
dust213–10-0.0514%19 Aug →
nuke13–11-0.018%19 Aug →
nuke13–6-0.042%19 Aug →
dust213–10-0.0512%19 Aug →
mirage3–13-0.1116%19 Aug →
office8–130.0112%18 Aug →
dust213–5-0.0720%18 Aug →
shelter13–10-0.093%17 Aug →
boulder2–00.0350%17 Aug →
vertigo12–12-0.0516%17 Aug →
train11–0-0.0217%17 Aug →
mirage11–13-0.0319%17 Aug →
office13–6-0.1315%17 Aug →
office10–13-0.029%16 Aug →
dust213–5-0.085%16 Aug →
inferno13–7-0.057%16 Aug →
cache12–12-0.0114%16 Aug →
vertigo13–10.017%16 Aug →
mirage10–13-0.039%16 Aug →
dust213–10-0.074%16 Aug →
dust28–13-0.104%16 Aug →
mirage10–13-0.0411%16 Aug →
vertigo13–110.025%16 Aug →
office8–130.009%15 Aug →
inferno13–11-0.098%15 Aug →
office13–10-0.009%14 Aug →
ancient13–10-0.068%14 Aug →
dust25–13-0.039%14 Aug →
italy13–2-0.097%14 Aug →
cache3–130.0016%14 Aug →
inferno6–13-0.040%14 Aug →
nuke10–13-0.0324%14 Aug →
ancient13–5-0.0420%14 Aug →
office5–13-0.0712%14 Aug →
nuke7–13-0.0111%13 Aug →
office2–13-0.0512%13 Aug →
vertigo10–13-0.107%13 Aug →
inferno13–8-0.028%13 Aug →
boulder13–6-0.070%13 Aug →
mirage6–13-0.1015%13 Aug →
ancient13–6-0.0814%13 Aug →
fachwerk13–9-0.045%13 Aug →
ancient13–9-0.028%10 Aug →
inferno6–2-0.106%10 Aug →
nuke13–3-0.0116%10 Aug →
cache13–1-0.0415%10 Aug →

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 →

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