Chinooo

Chinooo — CS2 Stats

PH76561198074151608[U:1:113885880]Steam profile ↗✓ No bans

1,126Tracked matches46%Win rate2020Tracked since
1,402Hours in CS12Hrs last 2 wks
CSDB Rating5.8 SolidHybrid Rifler
Premier CS Rating17,043Purple band · top ~20.3% of ranked players (population est.)
CSDB Leaderboard#28810 of 54886 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 rate60.7%44.2%47.1%above
Shot accuracy3.4%11.6%12.8%9.4% short
Kill/death ratio1.941.031.08above
Match win rate31.9%45.2%46.6%14.7% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGChinoooPREMIER17,043 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning49
Utility49

0–100 skill scores via Leetify.

Recent form

COLD44506Last 10044%Win rateWLLLTLLLLL

Last 10 vs previous 10: -50pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.7
Aggression5.7
Utility4.9
Positioning4.9
Opening Duels1.5
Clutch2.6

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim7.7
Positioning4.9
Utility4.9
Mechanics7.8
Opening Duels1.8
Win Impact3.8

Composite 5.8/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time583ms−35ms
first ⅓ avg 618ms → last ⅓ avg 583ms
Headshot accuracy17.5%−2.1%
first ⅓ avg 19.6% → last ⅓ avg 17.5%

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.

Highlights

0.11Best rating — anubis 13–11
133Biggest win — mirage
5Longest win streak
130In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 60% over 20ancientWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB2091145%-0.02
infernoA2012860%0.01
anubisB2091145%-0.00
ancientD1851328%-0.02
dust2D1551033%-0.02
vertigo21150%0.00
cache220100%-0.04
train1010%-0.08
nuke110100%0.06
overpass1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,379Lifetime kills
1.94K/D · Top 5% of Purple band
2,221Matches
31.9%Match win rate
60.7%Headshot % · Top 5% of Purple band
3.4%Shot accuracy
3,733MVPs
733Hours (in match)
1,210Bombs planted
273Bombs defused

Most-used weapons

Lifetime map wins

4,849inferno
1,440dust2
986vertigo
561nuke
477train
1italy
1cbble

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

Faceit stats

Combat

94Matches
62%Win rate
1.19Avg K/D
83.9ADR
50%Headshot %

Clutches & streaks

33%1v1 clutch win
34%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3158%1.1517.4
Ancient2152%1.2317.2
Mirage1872%1.2515.8
Anubis1292%1.1418.2
Nuke367%1.7724.3
Overpass367%1.1316.0
Dust230%0.8316.0
Train20%0.7813.0

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.

17.2%Headshot accuracy
36.2%Accuracy (enemy spotted)
42.0%Spray accuracy
85.1%Counter-strafing
10.4°Preaim
579msReaction time
27.8%T opening success
44.1%CT opening success
0.42Enemies flashed / flash
6.7%Flash assists
5.33HE damage / grenade
13.93Flashes / 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 0.4208 — 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 27.8083% — below the 40% mark we flag

Spend your practice time on Ancient

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–30.0114%27 Aug
mirage3–13-0.0316%25 Aug
dust28–13-0.0514%25 Aug
ancient1–13-0.0813%25 Aug
inferno15–150.0522%24 Aug
ancient10–130.0124%24 Aug
dust28–13-0.0320%22 Aug
inferno4–13-0.0812%22 Aug
vertigo2–9-0.0726%19 Aug
anubis10–13-0.0120%19 Aug
cache13–8-0.0210%19 Aug
dust27–130.0119%12 Aug
anubis6–13-0.0722%12 Aug
inferno13–80.0520%12 Aug
inferno2–11-0.0112%12 Aug
mirage3–13-0.0210%12 Aug
anubis13–11-0.0213%12 Aug
inferno13–11-0.0120%11 Aug
anubis13–110.0524%11 Aug
vertigo13–60.0821%11 Aug
inferno13–70.0619%11 Aug
ancient8–13-0.0318%10 Aug
anubis13–11-0.0311%10 Aug
mirage13–7-0.0115%10 Aug
inferno9–13-0.0114%8 Aug
train4–13-0.0810%8 Aug
mirage10–130.0122%8 Aug
dust213–11-0.0315%8 Aug
inferno13–50.0215%8 Aug
mirage13–5-0.0227%8 Aug
dust212–120.0116%8 Aug
anubis13–8-0.0026%6 Aug
inferno13–90.0017%6 Aug
dust29–13-0.0019%5 Aug
ancient12–16-0.0917%5 Aug
mirage15–15-0.0316%5 Aug
ancient7–13-0.0217%4 Aug
mirage13–11-0.0014%4 Aug
inferno13–110.0522%3 Aug
ancient1–13-0.108%3 Aug
inferno13–70.0420%3 Aug
inferno13–80.0327%29 Jul
ancient8–13-0.0212%29 Jul
dust213–11-0.0220%29 Jul
mirage13–4-0.0322%29 Jul
anubis5–13-0.045%28 Jul
mirage6–130.0419%28 Jul
mirage6–13-0.0713%25 Jul
anubis13–110.0917%25 Jul
ancient13–80.0423%25 Jul
dust28–13-0.0612%24 Jul
anubis7–13-0.0211%24 Jul
ancient13–8-0.0513%24 Jul
inferno11–30.0316%24 Jul
dust213–50.0441%24 Jul
mirage5–13-0.0510%24 Jul
anubis5–13-0.0218%24 Jul
mirage7–130.0122%24 Jul
dust216–14-0.0419%22 Jul
mirage13–60.0115%22 Jul
anubis8–13-0.0315%22 Jul
ancient2–130.0118%22 Jul
ancient6–130.0410%22 Jul
ancient13–70.0318%20 Jul
inferno13–30.0326%20 Jul
ancient8–130.0324%15 Jul
ancient8–13-0.0224%15 Jul
inferno10–13-0.0718%15 Jul
anubis13–70.0115%14 Jul
mirage4–13-0.0212%14 Jul
ancient13–40.0114%14 Jul
anubis3–13-0.0417%14 Jul
anubis13–110.1123%13 Jul
inferno15–150.0220%13 Jul
ancient4–13-0.0614%8 Jul
anubis13–60.0513%8 Jul
nuke13–40.0623%8 Jul
inferno6–130.0620%8 Jul
mirage9–13-0.0413%8 Jul
dust25–13-0.0618%8 Jul
mirage13–100.0416%7 Jul
anubis13–110.0721%7 Jul
dust29–130.0118%7 Jul
mirage13–10-0.0321%6 Jul
anubis4–13-0.0523%6 Jul
cache13–6-0.0615%6 Jul
inferno12–120.0019%6 Jul
dust27–130.0114%6 Jul
inferno13–80.0215%1 Jul
anubis10–13-0.0617%1 Jul
ancient13–8-0.0318%1 Jul
dust27–13-0.0717%21 Jun
anubis12–12-0.0320%31 May
dust213–9-0.0116%31 May
mirage13–10-0.0511%31 May
inferno13–11-0.0117%31 May
ancient1–13-0.05100%29 May
anubis10–13-0.0416%29 May
mirage7–13-0.0915%29 May
overpass2–13-0.0118%29 May

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 →