Chiniyo

Chiniyo — CS2 Stats

ES76561199201229874[U:1:1240964146]Steam profile ↗✓ No bans

3,913Tracked matches36%Win rate2021Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating10,173Blue band · top ~54% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 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: 10,173 -6,330 12 Jul – 14 Oct · 32 days played
10,17318,519peak 18,51912 Jul14 Oct
18,764Peak Premier in tracked matches
34Days played since 2026-07-10

Premier CS Rating

  • 8,346 below peak (18,519)
  • -1,470 over 30 days · declining
  • -5,456 over 90 days
  • Next: Purple band at 15,000 — 4,827 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.

Share this profile

CSDB.GGChiniyoFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,173 · Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning61
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateLLLLWLWWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.6pp headshot accuracy · +17ms 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 -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 606ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 600ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 592ms

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 (+1.9 against its own average).

Aim5.2
Utility7.4
Positioning6.1
Opening Duels5.5
Clutch3.0

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

m0NESY

Plays most like m0NESY 64% 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. 570ms 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

Aim5.2
Positioning6.1
Utility7.4
Mechanics4.6
Opening Duels5.5
Win Impact0.2

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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time579ms−47ms
first ⅓ avg 626ms → last ⅓ avg 579ms
Headshot accuracy11.5%−1.1%
first ⅓ avg 12.6% → last ⅓ avg 11.5%

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

0.07Best match rating · 13–6 · inferno, 22 Sept →
42%Best headshot accuracy · 5–13 · ancient, 21 Jul →
422msFastest reaction time · 10–13 · ancient, 28 Sept →
13–0Biggest win · nuke, 18 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
9–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 53% over 17dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC3714–2338%-0.02
ancientB179–853%-0.01
anubisB126–650%-0.01
dust2D124–833%-0.03
nukeC104–640%-0.05
mirageB84–450%-0.03
cache—40–40%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,030Matches
49%Win rate
0.85Avg K/D
76.2ADR
34%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno25558%0.9115.0
Anubis21048%0.8313.7
Ancient18149%0.8614.2
Dust215243%0.8414.3
Mirage9248%0.8513.1
Overpass4038%0.8214.3
Nuke3650%0.8113.6
Vertigo944%0.7113.7

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.

11.3%Headshot accuracy
33.6%Accuracy (enemy spotted)
40.1%Spray accuracy
70.7%Counter-strafing
11.0°Preaim
570msReaction time
49.8%T opening success
54.5%CT opening success
0.75Enemies flashed / flash
9.0%Flash assists
9.72HE damage / grenade
14.19Flashes / 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 11.2623% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 12 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
anubis8–130.029%14 Oct →
cache5–13-0.050%14 Oct →
mirage3–13-0.0415%14 Oct →
mirage5–13-0.0322%14 Oct →
dust213–70.002%7 Oct →
dust25–13-0.0318%7 Oct →
dust213–4-0.0214%7 Oct →
dust216–14-0.027%6 Oct →
ancient13–10-0.0210%5 Oct →
anubis4–13-0.0013%5 Oct →
mirage3–13-0.106%5 Oct →
ancient10–13-0.039%3 Oct →
inferno13–11-0.006%2 Oct →
dust215–150.0213%2 Oct →
cache15–15-0.0115%2 Oct →
anubis13–11-0.0510%30 Sept →
ancient10–13-0.0312%28 Sept →
inferno13–8-0.025%23 Sept →
ancient10–13-0.056%22 Sept →
dust210–130.0013%22 Sept →
inferno13–60.0713%22 Sept →
inferno10–13-0.035%16 Sept →
ancient16–13-0.0213%14 Sept →
anubis13–8-0.038%14 Sept →
anubis4–13-0.0111%8 Sept →
dust25–13-0.0419%8 Sept →
inferno13–160.0210%3 Sept →
ancient10–130.0217%3 Sept →
inferno3–13-0.0427%3 Sept →
mirage11–130.0314%1 Sept →
anubis8–13-0.0312%1 Sept →
inferno13–11-0.0415%1 Sept →
inferno13–10-0.038%31 Aug →
inferno4–130.0211%31 Aug →
nuke10–13-0.059%26 Aug →
dust25–13-0.0722%26 Aug →
nuke11–13-0.079%28 Jul →
nuke6–13-0.0714%27 Jul →
inferno8–13-0.0912%27 Jul →
ancient13–9-0.067%27 Jul →
dust29–13-0.0115%27 Jul →
ancient16–120.0511%26 Jul →
inferno14–16-0.022%26 Jul →
ancient5–13-0.055%26 Jul →
dust29–13-0.079%24 Jul →
ancient13–100.009%24 Jul →
inferno5–13-0.086%24 Jul →
dust28–13-0.073%24 Jul →
nuke6–13-0.0820%23 Jul →
inferno13–11-0.036%23 Jul →
inferno11–130.0316%23 Jul →
cache6–13-0.1024%22 Jul →
inferno14–16-0.0313%22 Jul →
inferno8–13-0.015%22 Jul →
inferno8–130.0214%21 Jul →
inferno7–13-0.0526%21 Jul →
ancient5–13-0.0342%21 Jul →
anubis13–80.0016%20 Jul →
inferno8–130.035%20 Jul →
inferno13–60.058%20 Jul →
ancient13–70.077%20 Jul →
ancient12–16-0.0113%19 Jul →
inferno13–10-0.039%19 Jul →
mirage13–8-0.0615%19 Jul →
nuke13–0-0.0029%18 Jul →
inferno13–6-0.0611%18 Jul →
ancient13–10.039%18 Jul →
mirage13–6-0.034%18 Jul →
inferno5–130.0019%18 Jul →
inferno7–13-0.0817%18 Jul →
mirage13–11-0.0411%18 Jul →
nuke13–5-0.107%17 Jul →
anubis13–7-0.0313%17 Jul →
mirage13–90.034%17 Jul →
anubis9–13-0.0013%15 Jul →
ancient13–100.0212%15 Jul →
inferno13–7-0.0213%15 Jul →
anubis13–90.0110%15 Jul →
inferno2–13-0.0829%14 Jul →
nuke7–13-0.0013%14 Jul →
dust213–50.0010%13 Jul →
nuke13–4-0.035%13 Jul →
inferno9–130.0221%13 Jul →
cache13–16-0.0713%13 Jul →
inferno5–13-0.0617%12 Jul →
anubis13–90.0213%12 Jul →
inferno11–130.0118%12 Jul →
inferno10–13-0.052%12 Jul →
nuke15–15-0.0225%12 Jul →
inferno13–9-0.0616%12 Jul →
anubis7–13-0.070%12 Jul →
inferno13–8-0.0114%12 Jul →
nuke13–10-0.0512%11 Jul →
inferno13–11-0.0113%11 Jul →
ancient16–14-0.057%11 Jul →
inferno2–13-0.0515%11 Jul →
inferno10–13-0.0214%11 Jul →
inferno13–110.0213%10 Jul →
inferno11–13-0.0714%10 Jul →
ancient5–130.008%10 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 →

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