Chingy

Chingy — CS2 Stats

76561198945605591[U:1:985339863]Steam profile ↗

1,501Tracked matches45%Win rate2023Tracked since
CSDB Rating6.0 SolidPassive Rifler
Premier CS Rating15,822Purple band · top ~25.1% of ranked players (population est.)
CSDB Leaderboard#7420 of 11826 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGChingyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,822 · Purple bandcsdb.gg/stats

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Performance scores

Aim85
Positioning42
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY49429Last 10049%Win rateWTLLWLWLWL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim8.5
Aggression4.3
Utility5.2
Positioning4.2
Opening Duels1.6
Clutch1.8

Sharp aimerExcellent counter-strafingStrong 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 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Areas to improve

Positioning. Positioning trails aim by 43 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.

T-side openings. Opening success drops from 47% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim8.5
Positioning4.2
Utility5.2
Mechanics8.5
Opening Duels2.2
Win Impact3.3

Composite 6.0/10 (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 time589ms−32ms
first ⅓ avg 621ms → last ⅓ avg 589ms
Headshot accuracy20.0%+2.5%
first ⅓ avg 17.5% → last ⅓ avg 20.0%

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

0.14Best rating — ancient 13–4
131Biggest win — train
5Longest win streak
43In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 60% over 10cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B28151354%-0.01
mirageB1910953%-0.02
anubisB126650%-0.01
ancientA106460%0.01
cacheD81713%-0.00
vertigoD51420%-0.02
nukeA53260%0.02
infernoC52340%-0.02
overpassA53260%-0.00
train21150%-0.01
office110100%0.02

Across the last 100 tracked matches.

Faceit stats

Combat

258Matches
50%Win rate
0.99Avg K/D
75.7ADR
42%Headshot %

Clutches & streaks

29%1v1 clutch win
11%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5347%0.9314.5
Vertigo5353%1.0516.0
Ancient5149%1.0816.5
Anubis4661%0.9314.6
Nuke2055%1.1015.9
Dust21443%0.9415.2
Overpass333%0.6714.3
Inferno20%1.0821.5

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.

19.7%Headshot accuracy
35.0%Accuracy (enemy spotted)
40.1%Spray accuracy
88.4%Counter-strafing
7.7°Preaim
578msReaction time
25.9%T opening success
47.2%CT opening success
0.61Enemies flashed / flash
8.0%Flash assists
6.17HE damage / grenade
8.61Flashes / 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 25.9442% — below the 40% mark we flag

Spend your practice time on Cache

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0127%31 Jul
dust212–12-0.0240%31 Jul
vertigo2–130.0144%31 Jul
anubis4–13-0.0021%24 Jul
anubis13–3-0.0323%24 Jul
dust25–130.0428%24 Jul
nuke13–6-0.0117%24 Jul
cache5–130.0114%20 Jul
dust213–9-0.0316%20 Jul
ancient10–13-0.0224%20 Jul
dust213–11-0.058%20 Jul
dust213–90.0225%20 Jul
inferno7–130.0420%19 Jul
mirage10–13-0.0420%19 Jul
dust26–13-0.0210%19 Jul
dust29–13-0.0219%14 Jul
vertigo5–130.0018%14 Jul
dust24–13-0.0315%14 Jul
mirage13–30.0223%14 Jul
office13–80.0223%12 Jul
mirage13–6-0.0315%6 Jul
overpass6–13-0.0313%6 Jul
mirage6–13-0.0213%6 Jul
cache6–13-0.0516%6 Jul
nuke13–50.0114%5 Jul
ancient13–4-0.0116%4 Jul
inferno13–10-0.0120%4 Jul
ancient13–6-0.006%4 Jul
mirage10–130.0727%3 Jul
anubis1–13-0.0716%3 Jul
cache13–90.0821%3 Jul
dust213–2-0.0230%3 Jul
vertigo12–120.0121%3 Jul
cache8–13-0.0212%2 Jul
anubis6–130.0431%30 Jun
ancient13–80.0318%30 Jun
dust29–13-0.0636%30 Jun
mirage15–15-0.0518%30 Jun
anubis13–10-0.0518%30 Jun
ancient10–130.0111%30 Jun
dust27–13-0.0720%30 Jun
dust213–9-0.0224%30 Jun
mirage13–2-0.0312%29 Jun
anubis13–9-0.089%29 Jun
cache12–12-0.0322%29 Jun
anubis9–13-0.0111%29 Jun
mirage13–10-0.0315%28 Jun
dust28–13-0.0330%27 Jun
ancient13–40.1418%27 Jun
dust213–11-0.0326%26 Jun
vertigo13–11-0.0214%26 Jun
mirage13–10-0.0121%26 Jun
ancient13–9-0.0023%26 Jun
dust25–130.0425%26 Jun
dust213–70.0523%25 Jun
anubis12–120.0317%25 Jun
dust29–1-0.0129%25 Jun
dust210–13-0.0216%25 Jun
cache6–13-0.0018%25 Jun
nuke7–130.0422%25 Jun
nuke13–50.0415%24 Jun
dust27–13-0.0318%24 Jun
nuke6–130.0016%24 Jun
anubis13–9-0.0117%24 Jun
inferno10–13-0.0127%24 Jun
overpass9–0-0.0641%24 Jun
ancient12–120.019%24 Jun
mirage13–11-0.0311%23 Jun
train13–10.0528%23 Jun
dust213–70.0218%23 Jun
overpass13–30.0824%23 Jun
dust213–10-0.0220%23 Jun
ancient5–130.0024%23 Jun
vertigo2–13-0.125%23 Jun
dust213–100.0121%23 Jun
cache11–13-0.0320%23 Jun
mirage13–8-0.0123%23 Jun
mirage14–160.0015%22 Jun
mirage12–70.019%22 Jun
overpass15–150.0216%22 Jun
dust213–60.0321%22 Jun
dust212–12-0.0216%22 Jun
dust213–90.0421%22 Jun
inferno13–9-0.0522%22 Jun
anubis13–3-0.0313%22 Jun
overpass13–5-0.0214%22 Jun
mirage5–13-0.0516%21 Jun
dust213–90.0119%21 Jun
cache8–130.0221%21 Jun
train12–12-0.074%21 Jun
mirage13–16-0.0511%20 Jun
anubis7–130.0414%20 Jun
mirage7–13-0.0216%20 Jun
dust213–40.0121%20 Jun
ancient13–8-0.0116%20 Jun
mirage10–13-0.0115%20 Jun
mirage13–5-0.0426%20 Jun
dust211–130.0128%20 Jun
anubis13–80.0118%19 Jun
inferno12–16-0.0712%19 Jun

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 →