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Zonquldaner — CS2 Stats

76561198378059236[U:1:417793508]

1,163Tracked matches53%Win rate2020Tracked since
CSDB Rating5.4 Developing
Premier CS Rating24,057Top 25% of 29,473 CSDB-tracked playersPink band · top ~4% of ranked players (population est.)
CSDB Leaderboard#7116 of 41281 tracked
FaceitLevel 10 · 2,124 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGZonquldanerFACEITLevel 10 · 2,124 ELOSTANDINGTop 12.4% of rankedPREMIER24,057 · Pink bandcsdb.gg/stats

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Performance scores

Aim59
Positioning45
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY62–35–3Last 10062%Win rateWLWLLLWWLW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim5.9
Aggression4.8
Utility6.2
Positioning4.5
Opening Duels1.7
Clutch4.2

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 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 53% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim5.9
Positioning4.5
Utility6.2
Mechanics5.3
Opening Duels2.9
Win Impact6.1

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.06
first ⅓ avg 0.05 → last ⅓ avg -0.01
Reaction time598ms+92ms
first ⅓ avg 506ms → last ⅓ avg 598ms
Headshot accuracy13.7%−6.6%
first ⅓ avg 20.3% → last ⅓ avg 13.7%

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.

Highlights

0.16Best rating — inferno 13–11
13–0Biggest win — ancient
18Longest win streak
8–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 100% over 5infernoWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2S3120–1165%0.02
mirageA2515–1060%0.03
infernoC167–944%0.03
nukeA106–460%0.01
ancientS87–188%0.04
overpassS55–0100%0.04
anubis—41–325%-0.01
golden—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,500Matches
53%Win rate
1.13Avg K/D
73.5ADR
45%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage19947%0.9713.6
Dust214454%1.0114.0
Anubis14253%1.0514.5
Inferno13859%1.1114.7
Ancient6757%1.0214.9
Vertigo2744%1.0016.1
Overpass1753%1.0814.3
Nuke1631%1.0112.9

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.

13.7%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.1%Spray accuracy
73.8%Counter-strafing
9.1°Preaim
591msReaction time
20.8%T opening success
53.0%CT opening success
0.68Enemies flashed / flash
5.3%Flash assists
7.27HE damage / grenade
11.59Flashes / 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 13.655% — below the 15% mark we flag

    Aim Training →
  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 20.7854% — 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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.039%22 May →
anubis17–19-0.0013%17 May →
overpass13–6-0.015%11 May →
dust29–130.0114%10 May →
dust25–13-0.0713%9 May →
inferno8–13-0.0812%3 May →
dust213–50.1126%2 May →
dust213–110.1018%15 Apr →
inferno10–13-0.0115%15 Apr →
dust213–9-0.0010%8 Apr →
dust210–13-0.035%8 Apr →
inferno13–20.048%5 Apr →
nuke13–6-0.0121%4 Apr →
mirage13–5-0.0014%28 Mar →
nuke6–130.0118%27 Mar →
ancient13–7-0.0018%23 Mar →
inferno13–80.0014%21 Mar →
ancient13–70.0419%20 Mar →
dust213–11-0.0814%19 Mar →
dust27–13-0.079%19 Mar →
dust23–13-0.0711%6 Mar →
dust213–10.068%22 Feb →
inferno2–13-0.0626%21 Feb →
anubis13–90.0717%21 Feb →
inferno6–13-0.0116%20 Feb →
overpass13–6-0.0112%16 Feb →
mirage8–13-0.0210%16 Feb →
mirage13–8-0.0117%15 Feb →
nuke7–13-0.0613%15 Feb →
mirage9–13-0.019%15 Feb →
mirage13–90.0316%14 Feb →
mirage13–90.019%14 Feb →
dust211–13-0.0514%14 Feb →
anubis1–6-0.060%10 Feb →
inferno13–9-0.030%10 Feb →
nuke10–130.0113%9 Feb →
inferno12–120.0219%9 Feb →
dust213–8-0.0212%8 Feb →
dust216–13-0.0315%8 Feb →
inferno11–130.0210%8 Feb →
dust211–130.0117%4 Feb →
mirage8–13-0.0624%2 Feb →
mirage5–13-0.0619%27 Jan →
dust213–80.1128%27 Jan →
mirage8–13-0.0423%24 Jan →
mirage12–12-0.0212%19 Jan →
anubis4–13-0.0433%16 Jan →
mirage13–60.0712%15 Jan →
dust213–30.0217%14 Jan →
mirage13–90.0321%11 Jan →
mirage7–13-0.1023%10 Dec →
dust216–14-0.0114%3 Dec →
inferno8–13-0.0416%31 Oct →
dust27–130.0533%5 Oct →
mirage9–130.0139%3 Oct →
golden13–80.0626%3 Oct →
inferno13–60.0721%3 Oct →
nuke13–7-0.0320%3 Oct →
dust213–20.1219%27 Sept →
ancient15–150.0722%27 Sept →
mirage13–50.0529%27 Sept →
dust22–00.0220%27 Sept →
dust213–70.0926%27 Sept →
mirage13–110.1221%27 Sept →
nuke13–30.1633%27 Sept →
dust29–130.0026%27 Sept →
mirage13–20.1124%27 Sept →
dust213–70.1226%27 Sept →
mirage9–130.0726%27 Sept →
dust213–30.0616%27 Sept →
dust23–13-0.119%26 Sept →
mirage13–20.0820%20 Sept →
nuke13–5-0.0326%20 Sept →
ancient13–60.0915%20 Sept →
mirage13–40.0624%16 Sept →
inferno13–100.0944%16 Sept →
mirage13–30.0718%16 Sept →
dust213–10.0221%16 Sept →
ancient13–50.0628%16 Sept →
overpass13–40.1027%16 Sept →
inferno13–110.1612%16 Sept →
ancient13–00.1022%16 Sept →
mirage13–30.1228%16 Sept →
overpass13–60.0616%16 Sept →
overpass13–50.0624%16 Sept →
nuke13–50.0527%6 Sept →
ancient13–80.0120%6 Sept →
dust213–20.0325%6 Sept →
mirage13–6-0.0216%6 Sept →
dust25–13-0.0618%6 Sept →
inferno13–90.1114%6 Sept →
mirage7–130.1113%5 Sept →
nuke13–110.0123%5 Sept →
dust213–110.0918%5 Sept →
mirage13–100.0513%4 Sept →
inferno11–130.0821%4 Sept →
nuke11–130.0217%3 Sept →
inferno12–160.056%3 Sept →
ancient13–9-0.0219%2 Sept →
dust213–20.0522%2 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches18-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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