Kyō

Kyō — CS2 Stats

JP76561198308550144[U:1:348284416]Steam profile ↗✓ No bans

368Tracked matches45%Win rate2021Tracked since
815Hours in CS
CSDB Rating6.0 SolidPositional Player
Premier CS Rating16,451Purple band · top ~22.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 368 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 15 days played since 29 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,451 +337 29 Jul16 Sept · 16 days played
15,78118,515peak 18,51529 Jul16 Sept
18,515Peak Premier in tracked matches
15Days played since 2026-07-29

Premier CS Rating

  • 2,064 below peak (18,515)
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 3,549 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-16
  • Blue band first seen 2026-09-16

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 Purple band among CSDB-tracked players (n=35,214), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate36.1%44.3%47.0%10.9% short
Shot accuracy14.4%11.8%13.0%above
Kill/death ratio1.051.031.080.03 short
Match win rate17.4%45.2%46.7%29.3% short

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

Widest gap: Match win rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKyōPREMIER16,451 · Purple bandcsdb.gg/stats

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Performance scores

Aim80
Positioning60
Utility42

0–100 skill scores via Leetify.

Recent form

HOT48502Last 10048%Win rateLWWLWLWWWW

Last 10 vs previous 10: +50pp win rate · −0.03 avg rating · −0.6pp headshot accuracy · −20ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 563ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 540ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 550ms

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 PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim8.0
Utility4.2
Positioning6.0
Opening Duels5.0

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

s1mple

Plays most like s1mple 92% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 56% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim8.0
Positioning6.0
Utility4.2
Mechanics7.3
Opening Duels3.8
Win Impact3.3

Composite 6.0/10 (Solid), 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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time569ms−30ms
first ⅓ avg 600ms → last ⅓ avg 569ms
Headshot accuracy17.9%+2.7%
first ⅓ avg 15.3% → last ⅓ avg 17.9%

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

0.14Best match rating · 13–8 · dust2, 11 Aug
34%Best headshot accuracy · 6–13 · anubis, 9 Aug
406msFastest reaction time · 12–6 · anubis, 11 Aug
13–1Biggest win · ancient, 5 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
54In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 83% over 6infernoWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
infernoD2171433%0.01
ancientA1912763%0.03
mirageC167944%0.01
dust2B157847%0.03
anubisC146843%0.04
cacheC94544%0.02
nukeS65183%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,205Lifetime kills
1.05K/D · Top 50% of Purple band
2,363Matches
17.4%Match win rate
36.1%Headshot %
14.4%Shot accuracy · Top 50% of Purple band
4,049MVPs
815Hours (in match)
1,008Bombs planted
356Bombs defused

Most-used weapons

Lifetime map wins

2,016dust2
1,498inferno
534nuke
173train
106office
100italy
100aztec
100dust

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.

17.0%Headshot accuracy
39.6%Accuracy (enemy spotted)
44.9%Spray accuracy
82.9%Counter-strafing
11.3°Preaim
567msReaction time
34.1%T opening success
56.4%CT opening success
0.47Enemies flashed / flash
2.8%Flash assists
7.32HE damage / grenade
5.39Flashes / 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. 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 0.472 — below the 0.5 mark we flag

    Grenade Lineups
  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 34.0699% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust21–13-0.0126%13 Aug
ancient13–100.0211%13 Aug
nuke13–20.0317%12 Aug
inferno6–13-0.0026%12 Aug
mirage13–80.0616%12 Aug
mirage12–16-0.0310%11 Aug
nuke12–12-0.0017%11 Aug
anubis12–60.0210%11 Aug
ancient13–90.0610%11 Aug
inferno13–11-0.0010%11 Aug
inferno11–130.0116%11 Aug
dust213–80.1420%11 Aug
mirage3–130.0320%11 Aug
inferno4–130.0223%11 Aug
inferno9–13-0.0214%11 Aug
anubis6–130.0517%11 Aug
ancient10–130.0910%10 Aug
inferno15–150.006%10 Aug
cache13–100.1118%10 Aug
inferno9–130.0314%10 Aug
ancient9–130.0317%10 Aug
dust213–50.0214%10 Aug
nuke13–90.0233%10 Aug
nuke2–13-0.0332%10 Aug
inferno3–13-0.0627%10 Aug
anubis6–130.0334%9 Aug
dust213–16-0.0415%9 Aug
ancient13–20.1015%9 Aug
mirage13–7-0.0310%9 Aug
inferno8–13-0.0123%9 Aug
inferno16–130.0715%8 Aug
mirage10–130.0214%8 Aug
dust27–130.0032%8 Aug
cache10–13-0.0522%8 Aug
dust28–13-0.0222%8 Aug
cache13–9-0.0314%8 Aug
dust24–13-0.0319%8 Aug
mirage3–13-0.0623%8 Aug
inferno7–13-0.0814%8 Aug
dust213–80.1127%8 Aug
inferno13–110.0120%7 Aug
mirage13–40.0416%7 Aug
mirage7–13-0.0413%7 Aug
mirage3–13-0.0418%5 Aug
ancient13–7-0.0823%5 Aug
ancient13–160.055%5 Aug
mirage13–70.066%5 Aug
ancient13–10.0214%5 Aug
dust213–40.0315%5 Aug
ancient14–160.0422%5 Aug
dust213–50.0512%5 Aug
anubis8–13-0.0014%4 Aug
cache6–130.0225%4 Aug
ancient13–110.0719%4 Aug
dust213–80.0916%4 Aug
anubis13–80.0423%4 Aug
cache7–130.0231%4 Aug
ancient13–90.1319%4 Aug
mirage13–60.0418%4 Aug
anubis10–130.0412%4 Aug
anubis11–13-0.0114%3 Aug
mirage13–50.038%3 Aug
dust213–80.1123%3 Aug
nuke13–50.0213%3 Aug
ancient13–6-0.0020%3 Aug
nuke13–7-0.048%3 Aug
cache13–160.0627%3 Aug
dust210–130.019%3 Aug
anubis6–13-0.0412%3 Aug
inferno10–130.0416%2 Aug
cache13–90.0119%2 Aug
inferno13–10-0.0420%2 Aug
ancient3–13-0.0821%2 Aug
anubis13–40.0716%2 Aug
cache9–130.0110%1 Aug
mirage15–150.0313%1 Aug
ancient13–100.0013%1 Aug
ancient11–13-0.0018%1 Aug
inferno13–70.0612%1 Aug
ancient13–10-0.0310%1 Aug
mirage4–13-0.0013%1 Aug
dust25–13-0.0519%31 Jul
ancient13–70.037%31 Jul
anubis13–70.0811%31 Jul
anubis10–130.0915%31 Jul
inferno8–130.0118%31 Jul
inferno13–80.0124%31 Jul
ancient13–40.0115%31 Jul
cache13–40.0730%31 Jul
inferno13–160.0123%31 Jul
anubis13–50.1319%31 Jul
ancient3–130.0420%30 Jul
inferno7–130.0212%30 Jul
anubis6–130.0212%30 Jul
anubis13–70.0511%30 Jul
mirage16–140.0315%30 Jul
inferno8–13-0.0017%30 Jul
inferno13–90.0716%30 Jul
dust27–130.026%29 Jul
mirage12–160.0612%29 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →