kktou

kktou — CS2 Stats

76561198424308325[U:1:464042597]Steam profile ↗✓ No bans

1,282Tracked matches50%Win rate2025Tracked since
2,351Hours in CS13Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
Premier CS Rating20,454Top 50% of 215,066 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)
CSDB Leaderboard#78120 of 261298 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (yesterday). 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: 20,454 +455 25 Jul – 11 Nov · 31 days played
17,48821,620peak 21,62025 Jul11 Nov
21,620Peak Premier in tracked matches
37Days played since 2026-07-07

Premier CS Rating

  • 1,166 below peak (21,620)
  • +342 over 30 days · steady
  • +1,414 over 90 days
  • Next: Red band at 25,000 — 4,546 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-24
  • Purple band first seen 2026-09-06

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate38.7%45.7%46.8%8.1% short
Shot accuracy0.0%12.7%13.0%13.0% short
Kill/death ratio0.751.051.060.31 short
Match win rate30.7%45.7%46.3%15.6% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkktouFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER20,454 · Pink 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
Positioning50
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWWWWLWLWLL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +2.6pp headshot accuracy · +85ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 820ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 695ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 652ms

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 (+2.8 against its own average).

Aim4.6
Utility6.0
Positioning5.0
Opening Duels2.0
Clutch0.0

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 71% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 624ms 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
Positioning5.0
Utility6.0
Mechanics5.7
Opening Duels3.0
Win Impact5.0

Composite 5.0/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time618ms−15ms
first ⅓ avg 633ms → last ⅓ avg 618ms
Headshot accuracy14.3%+0.4%
first ⅓ avg 14.0% → last ⅓ avg 14.3%

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

0.08Best match rating · 13–1 · anubis, 4 Oct →
33%Best headshot accuracy · 4–13 · nuke, 1 Sept →
445msFastest reaction time · 7–13 · inferno, 23 Oct →
13–1Biggest win · dust2, 27 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W4Current streak
9–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 58% over 19cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%-0.02
ancientA1911–858%0.01
infernoB157–847%-0.01
mirageB136–746%-0.01
nukeA116–555%-0.01
anubisD103–730%-0.02
cacheD82–625%-0.03

Across the last 100 tracked matches.

Lifetime stats

45,402Lifetime kills
0.75K/D
2,982Matches
30.7%Match win rate
38.7%Headshot %
0.0%Shot accuracy
3,702MVPs
973Hours (in match)
1,466Bombs planted
444Bombs defused

Most-used weapons

Lifetime map wins

4,537dust2
4,111inferno
1,856nuke
1,278train
166vertigo
37office
15italy
2ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

73Matches
55%Win rate
1.18Avg K/D
84.8ADR
46%Headshot %

Clutches & streaks

19%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2162%1.2915.4
Dust21553%1.3016.3
Anubis978%0.8713.8
Ancient757%1.0322.7
Inferno757%1.3819.3
Nuke633%1.1619.3
Cache520%1.0821.0
Overpass333%0.9614.0

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.

14.2%Headshot accuracy
31.2%Accuracy (enemy spotted)
34.9%Spray accuracy
75.5%Counter-strafing
11.5°Preaim
624msReaction time
42.9%T opening success
41.0%CT opening success
0.64Enemies flashed / flash
9.1%Flash assists
4.67HE damage / grenade
16.43Flashes / 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 14.1863% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0312%11 Nov →
dust213–9-0.0316%11 Nov →
nuke13–30.0431%8 Nov →
dust211–1-0.017%8 Nov →
inferno10–13-0.0621%8 Nov →
dust213–3-0.0223%8 Nov →
inferno8–13-0.0311%7 Nov →
ancient13–70.0314%7 Nov →
ancient11–130.0119%6 Nov →
cache5–13-0.089%6 Nov →
dust24–13-0.084%5 Nov →
cache6–13-0.0411%5 Nov →
inferno11–13-0.088%3 Nov →
dust213–7-0.0221%2 Nov →
inferno6–130.026%2 Nov →
inferno10–130.0217%2 Nov →
dust215–15-0.0517%30 Oct →
anubis8–13-0.0320%30 Oct →
anubis13–6-0.0419%29 Oct →
dust27–13-0.0714%29 Oct →
ancient13–70.0819%29 Oct →
dust213–11-0.029%28 Oct →
dust213–1-0.0611%27 Oct →
ancient6–13-0.086%27 Oct →
inferno4–13-0.016%27 Oct →
mirage9–130.0418%27 Oct →
anubis13–8-0.0119%25 Oct →
nuke13–11-0.0110%25 Oct →
nuke15–15-0.0112%24 Oct →
mirage13–5-0.0411%24 Oct →
ancient6–13-0.0218%24 Oct →
ancient13–5-0.0019%23 Oct →
inferno7–13-0.0313%23 Oct →
nuke13–110.018%23 Oct →
dust213–100.0315%18 Oct →
cache4–13-0.063%18 Oct →
inferno13–50.0212%18 Oct →
cache13–8-0.029%18 Oct →
dust213–40.0311%13 Oct →
ancient7–00.0817%13 Oct →
mirage13–11-0.069%13 Oct →
dust213–7-0.048%4 Oct →
inferno13–11-0.0219%4 Oct →
nuke13–20.0410%4 Oct →
anubis13–10.0817%4 Oct →
ancient11–13-0.0415%30 Sept →
nuke13–11-0.0516%30 Sept →
mirage9–13-0.0412%3 Sept →
ancient4–130.0616%3 Sept →
dust213–40.0411%3 Sept →
nuke4–130.0233%1 Sept →
mirage13–60.0620%1 Sept →
ancient14–16-0.0220%22 Aug →
ancient13–160.0312%22 Aug →
inferno13–10-0.0117%16 Aug →
mirage9–130.0219%16 Aug →
ancient13–50.0714%14 Aug →
inferno10–13-0.0111%14 Aug →
anubis1–13-0.0721%7 Aug →
mirage7–13-0.0727%7 Aug →
anubis15–15-0.0018%5 Aug →
anubis8–13-0.0424%2 Aug →
dust26–13-0.0313%2 Aug →
mirage13–50.0214%2 Aug →
nuke9–13-0.0412%1 Aug →
ancient13–7-0.0420%1 Aug →
nuke10–13-0.0622%31 Jul →
ancient13–40.0515%31 Jul →
mirage15–15-0.0117%31 Jul →
ancient8–130.0315%26 Jul →
anubis4–13-0.016%26 Jul →
inferno13–90.0121%26 Jul →
mirage7–13-0.0415%26 Jul →
nuke6–13-0.0716%26 Jul →
inferno13–60.0218%25 Jul →
mirage13–11-0.0110%25 Jul →
dust210–13-0.0225%25 Jul →
ancient13–70.0313%25 Jul →
dust28–13-0.0123%24 Jul →
nuke13–90.0410%24 Jul →
dust25–13-0.085%24 Jul →
dust210–13-0.068%19 Jul →
inferno13–9-0.0126%19 Jul →
dust213–8-0.049%19 Jul →
ancient16–140.009%19 Jul →
anubis5–13-0.0613%15 Jul →
ancient16–140.0514%15 Jul →
dust213–70.0412%14 Jul →
dust29–13-0.0420%14 Jul →
cache2–13-0.0610%14 Jul →
mirage13–5-0.012%13 Jul →
dust211–13-0.0415%13 Jul →
ancient13–5-0.0413%13 Jul →
mirage6–130.0014%13 Jul →
cache6–13-0.0315%13 Jul →
dust211–130.0018%11 Jul →
inferno13–5-0.0314%11 Jul →
anubis5–13-0.0215%7 Jul →
cache9–130.0211%7 Jul →
cache13–40.0514%7 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.