KittyKatzy

KittyKatzy — CS2 Stats

NO76561198283897412[U:1:323631684]Steam profile ↗✓ No bans

689Tracked matches43%Win rate2020Tracked since
999Hours in CS
CSDB Rating3.7 LearningSupport
Premier CS Rating9,615Light Blue band · top ~56.7% of ranked players (population est.)
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 689 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,615 +3,957 24 Jun – 3 Oct · 9 days played
5,6589,615peak 9,61524 Jun3 Oct
9,615Peak Premier in tracked matches
34Days played since 2025-06-16

Premier CS Rating

  • At peak — 9,615
  • 0 over 90 days
  • Next: Blue band at 10,000 — 385 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-14

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 23 Sep 2026 and 19 Oct 2026.

Measured 23 Sep 2026 → 19 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 playerLevel 10 median
Headshot rate56.8%50.9%
Shot accuracy19.0%13.7%
Kill/death ratio1.361.09
Match win rate47.0%48.4%

Share this profile

CSDB.GGKittyKatzyFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER9,615 · Light Blue bandcsdb.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

Aim46
Positioning42
Utility45

0–100 skill scores via Leetify.

Recent form

COLD45–51–4Last 10045%Win rateWLLLLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +3.1pp headshot accuracy · −25ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 722ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 688ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 701ms

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 against its own average).

Aim4.6
Utility4.5
Positioning4.2
Opening Duels1.8

Effective flashes

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 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 712ms 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
Positioning4.2
Utility4.5
Mechanics5.7
Opening Duels1.2
Win Impact2.6

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time702ms−28ms
first ⅓ avg 730ms → last ⅓ avg 702ms
Headshot accuracy10.4%−3.4%
first ⅓ avg 13.8% → last ⅓ avg 10.4%

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

0.06Best match rating · 13–4 · nuke, 4 May →
40%Best headshot accuracy · 3–13 · nuke, 4 Dec →
484msFastest reaction time · 13–7 · inferno, 15 Feb →
13–2Biggest win · nuke, 14 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 55% over 11dust2Weakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC208–1240%-0.03
mirageB157–847%-0.04
dust2D144–1029%-0.03
nukeA116–555%-0.05
overpassB105–550%-0.04
ancientB105–550%-0.05
anubisC73–443%-0.02
vertigo—42–250%-0.04
cache—32–167%-0.04
train—20–20%-0.03
alpine—11–0100%-0.06
italy—11–0100%-0.02
golden—10–10%-0.05
palacio—11–0100%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,803Lifetime kills
1.36K/D · Top 25% of Level 10 players
2,079Matches
47.0%Match win rate
56.8%Headshot % · Top 25% of Level 10 players
19.0%Shot accuracy · Top 10% of Level 10 players
6,070MVPs
999Hours (in match)
1,775Bombs planted
508Bombs defused

Most-used weapons

AK-4718,718
AWP3,464
Knife695
MP9656

Lifetime map wins

5,242inferno
3,463dust2
1,034vertigo
955nuke
878train
56cbble
39italy
33office

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.

10.9%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.1%Spray accuracy
75.6%Counter-strafing
10.1°Preaim
712msReaction time
38.3%T opening success
31.6%CT opening success
0.71Enemies flashed / flash
1.2%Flash assists
6.60HE damage / grenade
5.22Flashes / 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 10.8999% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 711.7903ms — above the 700ms mark we flag

    Aim Training →
  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 38.2795% — 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.

29% win rate across 14 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
overpass13–10-0.0411%22 Jun →
mirage2–13-0.0420%28 May →
dust23–130.0010%28 May →
dust213–16-0.0413%24 May →
anubis6–130.0021%24 May →
nuke13–11-0.038%23 May →
overpass9–13-0.0410%23 May →
dust213–16-0.0123%20 May →
nuke4–13-0.089%20 May →
nuke4–13-0.065%18 May →
overpass13–30.018%18 May →
inferno13–11-0.0522%14 May →
nuke13–2-0.067%14 May →
dust213–16-0.0010%9 May →
ancient6–13-0.1012%9 May →
inferno6–130.049%9 May →
overpass9–13-0.042%9 May →
cache13–11-0.0115%8 May →
cache9–13-0.066%8 May →
dust26–13-0.029%4 May →
nuke13–40.0611%4 May →
mirage13–9-0.036%2 May →
dust213–3-0.013%2 May →
mirage7–13-0.057%2 May →
alpine13–4-0.0612%1 May →
cache13–11-0.0520%1 May →
overpass5–13-0.108%25 Apr →
anubis12–12-0.027%25 Apr →
mirage13–5-0.0310%25 Apr →
train12–12-0.045%25 Apr →
italy13–7-0.025%25 Apr →
inferno4–13-0.0213%24 Apr →
mirage8–13-0.078%24 Apr →
dust213–6-0.0114%26 Mar →
anubis13–9-0.0218%26 Mar →
inferno13–7-0.0916%15 Feb →
dust213–16-0.0217%15 Feb →
mirage5–13-0.0311%15 Feb →
anubis5–13-0.0310%15 Feb →
inferno10–13-0.095%26 Dec →
mirage13–11-0.0418%26 Dec →
vertigo9–13-0.0617%7 Dec →
inferno8–13-0.077%7 Dec →
mirage13–7-0.0412%6 Dec →
dust213–5-0.0317%6 Dec →
vertigo13–8-0.0415%5 Dec →
inferno13–7-0.0613%5 Dec →
inferno10–130.017%5 Dec →
ancient13–5-0.0511%4 Dec →
anubis13–11-0.0920%4 Dec →
mirage11–13-0.0423%4 Dec →
nuke3–13-0.0640%4 Dec →
ancient13–11-0.097%15 Nov →
overpass13–70.009%15 Nov →
nuke6–13-0.0712%15 Nov →
inferno13–3-0.019%13 Nov →
inferno10–13-0.068%13 Nov →
nuke13–8-0.0711%13 Nov →
mirage9–13-0.0010%13 Nov →
ancient7–13-0.1113%13 Nov →
ancient13–80.0217%13 Nov →
nuke12–1-0.0111%8 Nov →
overpass15–15-0.0612%8 Nov →
inferno13–160.0214%8 Nov →
ancient10–13-0.035%8 Nov →
nuke13–8-0.0520%8 Nov →
mirage16–14-0.0513%7 Nov →
overpass11–13-0.0918%7 Nov →
dust25–13-0.089%7 Nov →
anubis3–13-0.048%2 Oct →
golden12–12-0.0510%2 Oct →
palacio13–10-0.0815%2 Oct →
inferno11–13-0.0722%2 Oct →
ancient11–13-0.0411%25 Sept →
nuke9–13-0.0813%25 Sept →
overpass13–7-0.035%25 Sept →
mirage13–7-0.044%11 Sept →
train10–13-0.037%11 Sept →
dust29–13-0.100%11 Sept →
dust211–13-0.0213%20 Aug →
inferno6–13-0.0316%20 Aug →
mirage3–13-0.0916%20 Aug →
inferno8–130.0217%16 Aug →
overpass13–70.0518%16 Aug →
inferno6–13-0.0822%30 Jul →
dust213–8-0.0228%30 Jul →
mirage13–70.045%30 Jul →
ancient16–12-0.008%25 Jun →
inferno13–4-0.0640%25 Jun →
inferno13–50.0514%25 Jun →
ancient8–13-0.037%25 Jun →
ancient13–11-0.048%24 Jun →
inferno13–8-0.0427%24 Jun →
anubis13–100.038%24 Jun →
inferno4–13-0.036%16 Jun →
vertigo13–5-0.0217%16 Jun →
dust27–13-0.0624%16 Jun →
inferno13–110.0116%16 Jun →
mirage10–13-0.0716%16 Jun →
vertigo10–13-0.0610%16 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 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.