Chinou

Chinou — CS2 Stats

FI76561197960903230[U:1:637502]Steam profile ↗✓ No bans

557Tracked matches53%Win rate2021Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating18,070Purple band · top ~16.2% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 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.

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. 37 days played since 8 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 18,070 +355 8 Mar20 Sept · 32 days played
16,18018,482peak 18,4828 Mar20 Sept
18,482Peak Premier in tracked matches
1,395Highest Faceit ELO seen on CSDB
37Days played since 2026-03-08

Faceit ELO

  • At peak — 1,395
  • Next: Level 8 at 1,531 136 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-17
  • Level 6 first seen 2026-09-17

Premier CS Rating

  • 412 below peak (18,482)
  • +1,180 over 30 days · improving
  • Next: Pink band at 20,000 1,930 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGChinouPREMIER18,070 · Purple bandPEAK ELO1,395csdb.gg/stats

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Performance scores

Aim58
Positioning64
Utility55

0–100 skill scores via Leetify.

Recent form

HOT53452Last 10053%Win rateWWWWLLWWWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −30ms reaction

Win rate up 20pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 528ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 558ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 573ms

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 (+2.2 against its own average).

Aim5.8
Utility5.5
Positioning6.4
Opening Duels2.2
Clutch2.6

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

NiKo

Plays most like NiKo 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 →

CSDB Rating breakdown

Aim5.8
Positioning6.4
Utility5.5
Mechanics4.6
Opening Duels2.3
Win Impact6.1

Composite 5.4/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time546ms−67ms
first ⅓ avg 613ms → last ⅓ avg 546ms
Headshot accuracy14.7%−0.9%
first ⅓ avg 15.6% → last ⅓ avg 14.7%

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

0.11Best match rating · 13–2 · nuke, 9 Aug
36%Best headshot accuracy · 13–8 · cache, 3 May
406msFastest reaction time · 13–5 · ancient, 14 Aug
13–2Biggest win · nuke, 9 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
710In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 75% over 8anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B28141450%0.00
nukeA1810856%0.00
infernoS1712571%0.00
ancientC156940%-0.02
cacheS86275%-0.01
anubisC83538%-0.02
mirage42250%-0.02
overpass2020%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

99Matches
62%Win rate
1.21Avg K/D
74.5ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust22167%1.2616.4
Inferno1464%1.0214.5
Ancient1242%1.3217.7
Nuke1050%0.9913.4
Mirage1070%1.2519.6
Anubis683%1.3415.5
Overpass20%0.7312.0
Cache10%0.337.0

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.

15.0%Headshot accuracy
32.6%Accuracy (enemy spotted)
37.5%Spray accuracy
70.8%Counter-strafing
10.5°Preaim
549msReaction time
33.2%T opening success
45.2%CT opening success
0.61Enemies flashed / flash
7.5%Flash assists
10.04HE damage / grenade
5.52Flashes / 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

    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 33.2276% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–60.0216%20 Sept
inferno13–4-0.0110%20 Sept
anubis13–4-0.029%20 Sept
nuke13–10-0.0413%20 Sept
ancient5–13-0.0811%13 Sept
nuke9–130.0118%13 Sept
inferno13–110.0114%13 Sept
cache13–6-0.0113%8 Sept
nuke13–9-0.0215%8 Sept
cache8–13-0.0318%6 Sept
dust24–13-0.0214%6 Sept
dust213–11-0.047%3 Sept
nuke13–3-0.0019%3 Sept
cache16–13-0.059%30 Aug
nuke7–130.0115%30 Aug
dust213–110.0122%30 Aug
ancient2–13-0.0617%30 Aug
inferno13–60.0615%23 Aug
dust211–13-0.0216%23 Aug
nuke10–130.0416%19 Aug
inferno6–13-0.0515%19 Aug
mirage6–13-0.0723%19 Aug
inferno17–19-0.0216%16 Aug
anubis2–13-0.0333%16 Aug
dust216–120.1119%16 Aug
ancient11–13-0.0713%16 Aug
cache7–13-0.0413%14 Aug
dust213–90.0218%14 Aug
ancient13–5-0.0013%14 Aug
dust213–7-0.019%14 Aug
dust28–13-0.017%11 Aug
cache13–9-0.0111%11 Aug
inferno13–90.068%9 Aug
nuke13–20.1110%9 Aug
inferno13–30.0118%9 Aug
ancient13–90.0315%9 Aug
anubis9–13-0.0110%4 Aug
dust24–13-0.074%4 Aug
cache13–10-0.0110%4 Aug
inferno13–70.028%2 Aug
nuke7–13-0.0821%2 Aug
dust26–13-0.0221%2 Aug
ancient14–16-0.0113%28 Jun
inferno13–7-0.0623%28 Jun
dust24–13-0.0114%28 Jun
anubis11–130.0217%24 May
nuke13–60.0413%24 May
ancient10–13-0.0315%17 May
dust27–130.0223%17 May
anubis1–13-0.0621%17 May
ancient13–8-0.0428%10 May
dust213–60.0812%10 May
inferno13–90.0417%7 May
inferno13–11-0.0016%5 May
dust211–130.0114%5 May
nuke13–3-0.007%5 May
dust210–13-0.0325%3 May
ancient5–13-0.0512%3 May
anubis13–50.0022%3 May
cache13–80.0536%3 May
nuke13–100.005%28 Apr
mirage13–60.0313%28 Apr
nuke13–30.0016%27 Apr
dust213–30.0616%23 Apr
inferno6–13-0.037%23 Apr
anubis13–5-0.057%14 Apr
dust213–70.0024%14 Apr
dust27–13-0.0218%12 Apr
dust213–70.049%12 Apr
nuke13–7-0.0310%12 Apr
overpass7–13-0.058%12 Apr
ancient13–40.0413%31 Mar
nuke8–130.0211%31 Mar
dust213–100.0219%31 Mar
nuke13–60.0615%29 Mar
ancient8–130.0316%29 Mar
dust213–110.0020%29 Mar
nuke10–130.0018%29 Mar
dust213–110.0322%26 Mar
nuke9–13-0.0416%26 Mar
dust29–13-0.0310%25 Mar
mirage13–110.0032%25 Mar
dust213–9-0.0416%24 Mar
ancient7–13-0.0411%22 Mar
inferno13–60.0318%22 Mar
dust213–30.0227%22 Mar
nuke6–13-0.0216%20 Mar
inferno13–16-0.0710%20 Mar
ancient13–60.0517%20 Mar
dust211–130.028%15 Mar
ancient13–30.0511%15 Mar
mirage5–13-0.0414%14 Mar
inferno13–100.0815%14 Mar
dust215–150.0321%14 Mar
inferno13–4-0.0031%12 Mar
ancient14–16-0.0714%12 Mar
anubis7–130.0118%12 Mar
overpass15–150.1017%8 Mar
dust217–19-0.0114%8 Mar
inferno11–13-0.050%8 Mar

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 →