Kitten

Kitten — CS2 Stats

IE76561198133215678[U:1:172949950]Steam profile ↗✓ No bans

931Tracked matches42%Win rate2021Tracked since
1,821Hours in CS2Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Aug 2026 (52 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: 15,000 -956 19 Aug – 27 Aug · 5 days played
15,00016,249peak 16,24919 Aug27 Aug
16,302Peak Premier in tracked matches
18Days played since 2026-08-18

Premier CS Rating

  • 1,249 below peak (16,249)
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Level 3 among CSDB-tracked players (n=10,259), 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 3 medianLevel 4 medianvs Level 4
Headshot rate42.0%41.8%42.7%meets
Shot accuracy9.3%12.2%11.3%1.9% short
Kill/death ratio0.960.980.990.03 short
Match win rate38.5%43.3%43.9%5.4% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKittenFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,000 · Purple 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

Aim62
Positioning31
Utility61

0–100 skill scores via Leetify.

Recent form

COLD36–48–16Last 10036%Win rateLLLWLTWLLT

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.4pp headshot accuracy · −15ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 550ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 560ms

Last 20

  • 5–11–4 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 567ms

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 (+3 against its own average).

Aim6.2
Utility6.1
Positioning3.1
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 82% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 34% on T to 19% on CT — first contacts on the defending side are being lost.

Reaction time. 568ms 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

Aim6.2
Positioning3.1
Utility6.1
Mechanics7.4
Opening Duels0.6
Win Impact2.2

Composite 4.8/10 (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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time565ms−15ms
first ⅓ avg 580ms → last ⅓ avg 565ms
Headshot accuracy12.2%+0.1%
first ⅓ avg 12.1% → last ⅓ avg 12.2%

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

0.21Best match rating · 13–1 · ancient, 26 Aug →
46%Best headshot accuracy · 13–8 · vertigo, 30 Aug →
391msFastest reaction time · 0–13 · ancient, 5 Oct →
13–1Biggest win · ancient, 26 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
4–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 50% over 16nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD226–1627%-0.02
dust2C207–1335%-0.00
cacheB168–850%-0.02
anubisC104–640%-0.00
ancientD93–633%0.00
mirageC94–544%-0.03
vertigoD72–529%0.01
nukeD51–420%-0.01
overpass—11–0100%0.03
train—10–10%0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,370Lifetime kills
0.96K/D
2,550Matches
38.5%Match win rate
42.0%Headshot % · Top 50% of Level 3 players
9.3%Shot accuracy
3,511MVPs
1,066Hours (in match)
2,393Bombs planted
620Bombs defused

Most-used weapons

AK-4711,240
AWP1,846
MAC-101,746
P901,494
MP71,469

Lifetime map wins

3,132inferno
2,764nuke
1,728dust2
910vertigo
866office
838train
555cbble
159bank

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.

12.3%Headshot accuracy
34.6%Accuracy (enemy spotted)
35.9%Spray accuracy
83.3%Counter-strafing
11.2°Preaim
568msReaction time
34.5%T opening success
18.9%CT opening success
0.59Enemies flashed / flash
6.1%Flash assists
12.80HE damage / grenade
9.79Flashes / 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 12.2936% — 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 34.4809% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient0–13-0.0613%5 Oct →
anubis8–13-0.048%5 Oct →
dust27–13-0.068%5 Oct →
inferno13–3-0.0128%5 Oct →
inferno10–13-0.1015%21 Sept →
ancient12–12-0.0616%21 Sept →
anubis13–11-0.0310%21 Sept →
dust29–130.0217%21 Sept →
cache7–13-0.0312%21 Sept →
inferno12–12-0.047%14 Sept →
inferno8–13-0.0115%14 Sept →
dust28–13-0.0511%14 Sept →
inferno1–13-0.120%14 Sept →
anubis11–130.055%14 Sept →
cache13–8-0.0616%14 Sept →
inferno12–12-0.0210%7 Sept →
anubis12–120.0212%7 Sept →
dust213–70.1312%7 Sept →
nuke13–8-0.0322%7 Sept →
cache8–13-0.1014%7 Sept →
inferno13–80.0314%7 Sept →
inferno12–120.0912%5 Sept →
cache4–130.0315%3 Sept →
dust213–11-0.0213%3 Sept →
vertigo12–120.0411%3 Sept →
inferno11–130.027%3 Sept →
dust21–13-0.0711%3 Sept →
ancient13–9-0.0412%3 Sept →
cache11–60.0214%3 Sept →
inferno13–50.0114%3 Sept →
dust213–110.038%1 Sept →
cache9–13-0.078%31 Aug →
inferno6–130.0017%31 Aug →
anubis13–9-0.0114%31 Aug →
cache2–13-0.116%31 Aug →
mirage13–8-0.019%31 Aug →
dust213–70.029%31 Aug →
ancient12–12-0.038%31 Aug →
inferno13–4-0.0125%31 Aug →
cache13–10-0.0612%31 Aug →
dust212–12-0.027%31 Aug →
ancient9–13-0.0614%30 Aug →
nuke6–13-0.080%30 Aug →
vertigo13–8-0.0546%30 Aug →
overpass13–80.0311%30 Aug →
inferno13–10-0.0519%30 Aug →
ancient6–13-0.018%30 Aug →
cache1–13-0.0619%30 Aug →
dust27–130.0210%29 Aug →
dust26–13-0.0821%29 Aug →
cache6–13-0.0912%29 Aug →
dust213–40.0114%29 Aug →
cache11–13-0.029%27 Aug →
mirage4–13-0.0317%26 Aug →
cache13–6-0.008%26 Aug →
inferno12–12-0.039%26 Aug →
ancient13–10.2113%26 Aug →
anubis7–13-0.0613%26 Aug →
cache13–9-0.038%26 Aug →
inferno1–13-0.0926%26 Aug →
dust213–60.0813%26 Aug →
vertigo3–130.0223%26 Aug →
inferno7–13-0.048%26 Aug →
ancient13–50.0918%26 Aug →
mirage12–12-0.0113%25 Aug →
inferno12–12-0.014%25 Aug →
vertigo12–12-0.047%25 Aug →
anubis8–13-0.084%25 Aug →
ancient11–13-0.0114%25 Aug →
inferno15–15-0.0111%25 Aug →
mirage13–6-0.0313%24 Aug →
cache13–40.0335%24 Aug →
dust211–13-0.058%24 Aug →
anubis10–13-0.0214%24 Aug →
dust213–6-0.018%24 Aug →
anubis13–30.0810%24 Aug →
dust24–130.0613%22 Aug →
cache13–50.0826%22 Aug →
vertigo12–120.0511%22 Aug →
mirage13–80.0310%22 Aug →
inferno5–13-0.013%21 Aug →
nuke8–130.015%21 Aug →
inferno13–60.0116%19 Aug →
vertigo13–80.0717%19 Aug →
mirage10–13-0.0011%19 Aug →
mirage13–11-0.040%19 Aug →
anubis13–60.0415%19 Aug →
mirage12–16-0.084%19 Aug →
dust28–13-0.0114%19 Aug →
dust212–12-0.0611%19 Aug →
dust25–130.029%19 Aug →
inferno3–13-0.0424%19 Aug →
mirage4–13-0.0813%19 Aug →
inferno10–13-0.0711%19 Aug →
nuke12–120.036%19 Aug →
nuke5–130.0118%19 Aug →
dust24–13-0.0212%19 Aug →
cache13–40.1013%19 Aug →
vertigo10–130.0013%18 Aug →
train10–130.1010%18 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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