Chiyo

Chiyo — CS2 Stats

GU76561198986628995[U:1:1026363267]Steam profile ↗✓ No bans

421Tracked matches46%Win rate2020Tracked since
937Hours in CS
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating13,901Blue band · top ~34.2% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (6 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: 13,901 +191 20 Aug – 5 Oct · 10 days played
13,71014,906peak 14,90620 Aug5 Oct
14,906Peak Premier in tracked matches
28Days played since 2026-08-10

Premier CS Rating

  • 1,005 below peak (14,906)
  • -1,005 over 30 days · declining
  • Next: Purple band at 15,000 — 1,099 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-09-20

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches2311+12
Win rate52%27%+25pp
K/D0.890.94−0.05
Headshot %45%53%−8pp

Measured 3 Oct 2026 → 11 Oct 2026; previous 25 Sep 2026 → 3 Oct 2026.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches51——
Win rate49%——
K/D0.94——
Headshot %47%——

Measured 15 Sep 2026 → 11 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 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 rate32.6%42.0%44.3%11.8% short
Shot accuracy11.5%9.6%11.9%0.3% short
Kill/death ratio0.790.981.030.24 short
Match win rate43.1%43.8%45.2%2.1% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Headshot rate. 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.GGChiyoPREMIER13,901 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning66
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateWTLWLLWWLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +4.2pp headshot accuracy · +16ms reaction

Win rate 0pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 664ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 720ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 713ms

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 (+1.8 against its own average).

Aim4.4
Utility4.4
Positioning6.6
Opening Duels3.5

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

jL

Plays most like jL 71% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 692ms 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

Aim4.4
Positioning6.6
Utility4.4
Mechanics6.0
Opening Duels6.1
Win Impact3.8

Composite 4.9/10 (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-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time692ms−25ms
first ⅓ avg 717ms → last ⅓ avg 692ms
Headshot accuracy15.5%−3.1%
first ⅓ avg 18.6% → last ⅓ avg 15.5%

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

0.19Best match rating · 13–6 · boulder, 23 Sept →
39%Best headshot accuracy · 13–3 · inferno, 6 Sept →
523msFastest reaction time · 9–13 · nuke, 20 Aug →
13–0Biggest win · mirage, 17 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
4–8In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 86% over 7dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%-0.01
nukeC228–1436%-0.02
mirageC167–944%0.02
cacheB126–650%0.01
ancientS76–186%-0.02
dust2D51–420%-0.04
vertigo—43–175%-0.02
train—43–175%0.00
anubis—30–30%-0.05
shelter—21–150%0.06
boulder—11–0100%0.19
fachwerk—11–0100%0.01
office—10–10%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,054Lifetime kills
0.79K/D
2,087Matches
43.1%Match win rate
32.6%Headshot %
11.5%Shot accuracy · Top 50% of Blue band
7,475MVPs
937Hours (in match)
904Bombs planted
634Bombs defused

Most-used weapons

AK-476,011
AWP2,224
MP71,242
P901,209
MP91,041
MAC-101,017

Lifetime map wins

1,929dust2
1,883inferno
1,527nuke
868vertigo
527cbble
396train
260office
110lake

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.

15.6%Headshot accuracy
34.5%Accuracy (enemy spotted)
34.7%Spray accuracy
77.1%Counter-strafing
12.5°Preaim
692msReaction time
67.3%T opening success
41.2%CT opening success
0.64Enemies flashed / flash
3.2%Flash assists
8.83HE damage / grenade
3.98Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5115° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9823 — below the 4 mark we flag

    Grenade Lineups →
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.

20% win rate across 5 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
mirage13–30.0314%11 Oct →
mirage12–12-0.1023%11 Oct →
cache11–130.0227%11 Oct →
mirage13–7-0.036%11 Oct →
mirage2–6-0.0226%11 Oct →
cache9–130.0115%7 Oct →
cache13–100.0915%7 Oct →
inferno13–50.0415%5 Oct →
inferno9–130.0315%5 Oct →
dust210–130.0227%5 Oct →
cache11–13-0.0813%5 Oct →
ancient13–11-0.0118%5 Oct →
ancient13–5-0.0411%5 Oct →
mirage10–13-0.0211%5 Oct →
cache13–30.057%5 Oct →
inferno8–13-0.0812%5 Oct →
inferno11–13-0.0114%4 Oct →
nuke12–120.0117%3 Oct →
inferno9–13-0.0216%3 Oct →
inferno13–6-0.0221%3 Oct →
nuke5–13-0.0415%26 Sept →
inferno11–13-0.0217%26 Sept →
nuke11–13-0.0216%26 Sept →
vertigo13–8-0.0523%26 Sept →
boulder13–60.1912%23 Sept →
vertigo13–4-0.0213%23 Sept →
mirage7–130.069%22 Sept →
nuke13–11-0.029%20 Sept →
anubis4–13-0.0324%19 Sept →
nuke13–80.0510%19 Sept →
vertigo9–00.0414%19 Sept →
nuke1–13-0.0517%19 Sept →
inferno13–11-0.0510%17 Sept →
nuke6–13-0.0320%17 Sept →
mirage13–00.1316%17 Sept →
dust213–4-0.0215%17 Sept →
shelter8–130.0724%16 Sept →
fachwerk10–20.0112%16 Sept →
dust21–13-0.104%16 Sept →
inferno1–13-0.0819%15 Sept →
mirage13–6-0.0015%14 Sept →
mirage8–130.0520%9 Sept →
inferno13–6-0.0222%9 Sept →
mirage13–10.013%9 Sept →
inferno5–13-0.0514%9 Sept →
cache13–80.0118%9 Sept →
nuke12–12-0.0218%9 Sept →
ancient10–13-0.0021%9 Sept →
office9–130.0514%8 Sept →
nuke7–13-0.0524%8 Sept →
inferno13–30.0439%6 Sept →
inferno10–13-0.0224%6 Sept →
nuke13–60.0516%6 Sept →
inferno13–9-0.0312%6 Sept →
mirage13–30.0419%6 Sept →
cache12–12-0.0426%5 Sept →
vertigo9–13-0.0415%3 Sept →
mirage8–120.0224%3 Sept →
nuke12–12-0.0123%3 Sept →
ancient13–20.0138%3 Sept →
inferno8–13-0.0329%3 Sept →
nuke13–10-0.0423%3 Sept →
mirage13–100.0324%2 Sept →
ancient13–8-0.0719%2 Sept →
nuke13–8-0.0814%2 Sept →
inferno13–100.0718%2 Sept →
train7–00.0217%2 Sept →
dust212–120.0121%2 Sept →
cache7–13-0.0319%1 Sept →
train13–10-0.0328%1 Sept →
inferno13–10-0.0027%1 Sept →
nuke2–110.0126%1 Sept →
inferno7–130.0629%31 Aug →
nuke11–130.0532%31 Aug →
mirage12–120.0828%31 Aug →
cache4–130.0123%31 Aug →
mirage9–13-0.0118%31 Aug →
train2–13-0.0221%31 Aug →
nuke4–13-0.0216%31 Aug →
cache13–20.0619%29 Aug →
ancient13–8-0.0228%29 Aug →
mirage11–130.0214%29 Aug →
dust25–13-0.0816%29 Aug →
inferno13–60.0521%29 Aug →
nuke13–3-0.0311%25 Aug →
anubis7–13-0.0813%25 Aug →
inferno13–6-0.0118%25 Aug →
nuke13–4-0.035%25 Aug →
cache13–7-0.0213%25 Aug →
inferno13–70.0015%25 Aug →
cache13–110.0123%25 Aug →
nuke13–60.0415%24 Aug →
train13–50.0521%23 Aug →
ancient13–9-0.0110%23 Aug →
inferno13–8-0.0910%20 Aug →
nuke9–13-0.0625%20 Aug →
nuke1–13-0.0817%20 Aug →
nuke2–4-0.0323%20 Aug →
shelter13–50.048%10 Aug →
anubis9–13-0.043%10 Aug →

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 →

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