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zlartz — CS2 Stats

76561199155857067[U:1:1195591339]✓ No bans

3,219Tracked matches56%Win rate2021Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating17,418Purple band · top ~18.8% of ranked players (population est.)
CSDB Leaderboard#23160 of 44795 tracked
FaceitLevel 7 · 1,451 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGzlartzFACEITLevel 7 · 1,451 ELOSTANDINGTop 42.3% of rankedPREMIER17,418 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning48
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateTLLWLWLLWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.6
Aggression5.2
Utility4.8
Positioning4.8
Opening Duels1.7
Clutch2.4

Strong CT-side openerLimited utility dependence

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: opening-fight frequency, opening-duel success.

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 47% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim6.6
Positioning4.8
Utility4.8
Mechanics6.8
Opening Duels2.1
Win Impact6.9

Composite 5.6/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time609ms−65ms
first ⅓ avg 674ms → last ⅓ avg 609ms
Headshot accuracy18.8%+1.9%
first ⅓ avg 17.0% → last ⅓ avg 18.8%

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

0.13Best rating — dust2 13–4
13–2Biggest win — anubis
5Longest win streak
9–8In matches decided by ≤2 rounds
19Overtime games

Map breakdown

anubisBest map · 62% over 13infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A4526–1958%0.02
nukeC176–1135%-0.01
anubisA138–562%-0.00
infernoD113–827%-0.02
cacheC73–443%-0.00
ancient—43–175%-0.01
mirage—31–233%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

84Matches
55%Win rate
1.31Avg K/D
87.9ADR
50%Headshot %

Clutches & streaks

32%1v1 clutch win
32%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2357%1.4018.2
Dust22277%1.4016.6
Inferno1953%1.3116.5
Ancient633%0.9216.3
Nuke560%1.5324.0
Train30%1.1420.7
Overpass10%1.0520.0

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.

18.9%Headshot accuracy
32.6%Accuracy (enemy spotted)
33.4%Spray accuracy
80.5%Counter-strafing
9.3°Preaim
604msReaction time
27.3%T opening success
46.7%CT opening success
0.59Enemies flashed / flash
9.3%Flash assists
13.79HE damage / grenade
3.65Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6463 — below the 4 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 27.2759% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno15–15-0.0414%29 Aug →
cache11–130.0312%29 Aug →
dust28–13-0.1123%29 Aug →
anubis16–13-0.0424%28 Aug →
inferno10–130.0011%28 Aug →
mirage13–9-0.0033%28 Aug →
nuke3–13-0.0532%28 Aug →
nuke8–13-0.0111%28 Aug →
dust213–50.0730%27 Aug →
anubis13–20.019%27 Aug →
cache1–13-0.1514%27 Aug →
anubis15–15-0.0116%26 Aug →
dust25–13-0.0319%26 Aug →
ancient16–14-0.0424%26 Aug →
dust210–13-0.0310%25 Aug →
nuke7–13-0.0318%25 Aug →
cache13–50.0616%25 Aug →
dust213–110.0112%25 Aug →
dust213–90.0623%25 Aug →
dust213–16-0.0314%24 Aug →
inferno13–20.1227%23 Aug →
dust213–90.0812%23 Aug →
dust27–130.0421%23 Aug →
nuke13–40.0119%22 Aug →
anubis16–140.0515%22 Aug →
dust213–40.1330%22 Aug →
dust216–130.0922%22 Aug →
anubis15–15-0.0119%22 Aug →
inferno13–90.0429%21 Aug →
ancient8–13-0.0316%21 Aug →
anubis13–16-0.0314%21 Aug →
anubis13–90.0216%21 Aug →
dust213–50.0417%21 Aug →
inferno2–13-0.1225%21 Aug →
dust213–20.0814%20 Aug →
inferno3–13-0.1120%20 Aug →
nuke2–13-0.0724%20 Aug →
dust213–16-0.0416%20 Aug →
dust213–160.0115%19 Aug →
nuke16–140.0111%13 Aug →
nuke7–130.0613%13 Aug →
dust213–50.0936%12 Aug →
anubis13–80.1017%12 Aug →
dust210–13-0.0434%12 Aug →
dust213–110.1015%11 Aug →
dust213–10-0.0217%11 Aug →
dust216–12-0.0119%9 Aug →
dust216–120.0012%9 Aug →
anubis8–13-0.0517%9 Aug →
dust211–130.0124%8 Aug →
dust213–30.1112%8 Aug →
nuke13–70.0810%8 Aug →
nuke13–4-0.0418%8 Aug →
nuke5–130.0521%8 Aug →
anubis7–130.0114%6 Aug →
cache13–80.1015%6 Aug →
dust213–30.058%6 Aug →
dust211–13-0.0417%5 Aug →
dust213–50.0718%5 Aug →
anubis13–10-0.0412%5 Aug →
dust211–130.0014%4 Aug →
nuke15–15-0.0120%4 Aug →
nuke13–110.0015%3 Aug →
anubis13–11-0.0216%3 Aug →
nuke6–13-0.054%3 Aug →
dust213–16-0.0322%1 Aug →
nuke1–13-0.0810%1 Aug →
cache4–13-0.1115%1 Aug →
dust29–130.0123%1 Aug →
cache13–90.0618%1 Aug →
nuke13–110.0113%31 Jul →
dust213–90.0123%31 Jul →
dust213–9-0.0015%31 Jul →
dust213–9-0.0518%31 Jul →
nuke8–13-0.0022%31 Jul →
dust28–13-0.0313%30 Jul →
dust211–130.0116%30 Jul →
inferno8–13-0.056%30 Jul →
cache15–150.0018%28 Jul →
dust213–70.0615%28 Jul →
dust213–100.0221%28 Jul →
inferno5–13-0.0412%28 Jul →
dust213–50.1321%27 Jul →
anubis13–9-0.0522%27 Jul →
dust213–80.0215%27 Jul →
mirage4–13-0.0610%27 Jul →
inferno4–13-0.0522%27 Jul →
dust29–13-0.0215%26 Jul →
dust213–50.0119%26 Jul →
dust211–130.0118%26 Jul →
ancient13–40.0121%26 Jul →
inferno8–130.0421%25 Jul →
dust25–13-0.0414%25 Jul →
dust213–60.1218%25 Jul →
dust213–5-0.0121%25 Jul →
mirage8–13-0.0018%25 Jul →
ancient16–140.0213%25 Jul →
nuke11–13-0.0515%25 Jul →
dust214–160.0113%25 Jul →
inferno13–70.0318%25 Jul →

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 →

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