Chinanese — CS2 Stats

76561199039792992[U:1:1079527264]✓ No bans

835Tracked matches58%Win rate2021Tracked since
CSDB Rating6.7 SolidHybrid Rifler
Premier CS Rating19,450Purple band · top ~10.7% of ranked players (population est.)
CSDB Leaderboard#4655 of 9377 tracked
FaceitLevel 7 · 992 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGChinaneseFACEITLevel 7 · 992 ELOSTANDINGTop 42.3% of rankedPREMIER19,450 · Purple bandcsdb.gg/stats

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Performance scores

Aim92
Positioning44
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY484111Last 10048%Win rateTWWLWTTLWW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

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

Aim9.2
Aggression5.6
Utility5.3
Positioning4.4
Opening Duels2.1
Clutch4.2

Sharp aimerExcellent counter-strafing

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 92% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning 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

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 47 points — deaths here waste a strong aim profile.

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

Reaction time. 613ms 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

Aim9.2
Positioning4.4
Utility5.3
Mechanics8.7
Opening Duels2.1
Win Impact7.8

Composite 6.7/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time625ms−73ms
first ⅓ avg 697ms → last ⅓ avg 625ms
Headshot accuracy26.6%−10.1%
first ⅓ avg 36.7% → last ⅓ avg 26.6%

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

0.10Best rating — nuke 6–13
130Biggest win — dust2
8Longest win streak
87In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 78% over 9infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC26111542%-0.01
nukeB1910953%-0.01
dust2A149564%-0.00
anubisS97278%-0.03
infernoD93633%-0.02
cacheC83538%-0.00
ancientC73443%-0.05
vertigo31233%0.01
train3030%-0.01
office21150%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

45Matches
58%Win rate
0.93Avg K/D
72.7ADR
61%Headshot %

Clutches & streaks

41%1v1 clutch win
13%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1225%0.7112.0
Mirage1164%1.0018.2
Nuke771%1.3215.3
Anubis5100%0.8812.8
Dust2580%1.0218.8
Cache333%0.9112.7
Overpass1100%0.7414.0
Inferno10%0.315.0

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.

27.9%Headshot accuracy
41.9%Accuracy (enemy spotted)
44.7%Spray accuracy
89.3%Counter-strafing
10.2°Preaim
613msReaction time
34.6%T opening success
41.9%CT opening success
0.58Enemies flashed / flash
2.9%Flash assists
12.26HE damage / grenade
10.46Flashes / 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 34.6405% — 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 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office12–12-0.0447%28 Aug
anubis13–11-0.0123%28 Aug
cache13–90.0224%28 Aug
nuke9–13-0.0542%26 Aug
ancient13–20.0126%26 Aug
dust212–120.0143%26 Aug
cache12–12-0.0141%26 Aug
mirage13–160.0223%26 Aug
nuke13–6-0.0233%26 Aug
anubis13–9-0.0536%26 Aug
ancient13–90.0231%26 Aug
nuke13–30.0735%26 Aug
mirage13–100.0223%25 Aug
anubis13–10.0434%25 Aug
cache13–20.0629%25 Aug
nuke16–14-0.0116%25 Aug
vertigo5–130.0227%25 Aug
cache10–13-0.0719%25 Aug
nuke4–13-0.0821%25 Aug
mirage8–13-0.0510%24 Aug
dust27–13-0.0347%24 Aug
inferno10–13-0.0233%24 Aug
inferno12–12-0.0324%24 Aug
train11–13-0.0224%24 Aug
cache13–70.0722%24 Aug
mirage13–7-0.0618%24 Aug
ancient6–1-0.110%24 Aug
vertigo12–120.0629%24 Aug
nuke12–120.0618%23 Aug
train10–130.0527%23 Aug
inferno11–13-0.0220%23 Aug
cache4–130.0126%23 Aug
nuke13–2-0.088%22 Aug
inferno13–5-0.0135%22 Aug
mirage8–13-0.0533%22 Aug
vertigo13–10-0.0442%22 Aug
mirage7–13-0.0814%22 Aug
mirage13–7-0.0715%22 Aug
mirage13–4-0.0014%22 Aug
mirage13–30.0230%20 Aug
inferno3–13-0.0543%18 Aug
nuke13–30.0433%18 Aug
nuke10–13-0.0136%16 Aug
dust213–80.0126%16 Aug
dust213–8-0.0118%16 Aug
ancient12–12-0.0735%13 Aug
inferno11–13-0.0031%13 Aug
inferno12–12-0.0218%13 Aug
mirage7–130.0637%13 Aug
dust213–50.0120%13 Aug
cache11–13-0.0711%13 Aug
ancient10–13-0.0419%12 Aug
anubis13–9-0.0313%8 Aug
office13–8-0.0245%7 Aug
train7–13-0.0624%7 Aug
anubis16–14-0.0322%7 Aug
mirage13–110.0124%6 Aug
mirage10–130.0117%6 Aug
mirage8–130.0019%5 Aug
anubis3–13-0.0725%4 Aug
nuke13–10.0624%3 Aug
mirage5–13-0.0730%3 Aug
mirage16–140.0431%3 Aug
nuke8–10.0243%3 Aug
mirage13–10-0.0136%3 Aug
dust29–13-0.0326%3 Aug
dust212–12-0.0325%29 Jul
mirage1–13-0.0850%29 Jul
anubis6–13-0.0832%28 Jul
cache8–13-0.0454%28 Jul
mirage13–100.0234%28 Jul
ancient8–13-0.0528%28 Jul
mirage10–130.0334%27 Jul
anubis13–4-0.0333%27 Jul
nuke2–13-0.0915%26 Jul
dust213–11-0.0144%25 Jul
mirage13–5-0.0445%25 Jul
dust213–10-0.0341%24 Jul
ancient2–13-0.1045%24 Jul
nuke4–13-0.0442%23 Jul
mirage0–13-0.0350%23 Jul
anubis13–10-0.0350%23 Jul
inferno13–11-0.0442%23 Jul
mirage11–13-0.0622%22 Jul
mirage12–120.0738%22 Jul
mirage12–120.0226%22 Jul
nuke4–13-0.0232%21 Jul
nuke11–13-0.0544%21 Jul
nuke13–9-0.0537%20 Jul
mirage13–6-0.0137%20 Jul
dust213–00.0829%20 Jul
dust213–3-0.0238%20 Jul
dust211–4-0.0045%20 Jul
dust211–13-0.0337%19 Jul
nuke6–130.1031%18 Jul
nuke13–100.0332%18 Jul
inferno13–8-0.0337%18 Jul
nuke13–11-0.0430%18 Jul
mirage7–13-0.0623%18 Jul
dust213–40.0535%18 Jul

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →