-лерка — CS2 Stats

76561198336693966[U:1:376428238]

1,524Tracked matches53%Win rate2020Tracked since
CSDB Rating6.1 SolidHybrid Rifler
Premier CS Rating19,606Purple band · top ~10.1% of ranked players (population est.)
CSDB Leaderboard#11240 of 25066 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GG-леркаFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER19,606 · Purple bandcsdb.gg/stats

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Performance scores

Aim84
Positioning51
Utility45

0–100 skill scores via Leetify.

Recent form

COLD48493Last 10048%Win rateWLWWLLLLLL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

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

Aim8.4
Aggression5.2
Utility4.5
Positioning5.1
Opening Duels2.3
Clutch3.4

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 91% playstyle similarity

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

Where you differ: lower utility contribution.

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 33 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 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 551ms 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

Aim8.4
Positioning5.1
Utility4.5
Mechanics7.1
Opening Duels2.5
Win Impact6.1

Composite 6.1/10 (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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time543ms−68ms
first ⅓ avg 612ms → last ⅓ avg 543ms
Headshot accuracy22.5%−0.2%
first ⅓ avg 22.7% → last ⅓ avg 22.5%

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

0.17Best rating — anubis 13–11
132Biggest win — ancient
7Longest win streak
126In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 100% over 6infernoWeakest map · 16% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB20101050%0.01
nukeA1912763%0.00
infernoD1931616%-0.01
dust2B178947%-0.00
ancientC83538%0.01
cacheB84450%0.01
anubisS660100%0.04
overpass21150%0.00
debris110100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (16% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

601Matches
55%Win rate
1.04Avg K/D
80.1ADR
49%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2850%1.0517.4
Nuke1759%1.1318.0
Dust21669%1.2518.2
Inferno1681%1.2815.1
Ancient1354%1.0216.0
Overpass683%1.0315.2
Anubis650%0.8311.5
Cache633%0.7012.2

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.

23.1%Headshot accuracy
37.2%Accuracy (enemy spotted)
40.8%Spray accuracy
82.1%Counter-strafing
10.0°Preaim
551msReaction time
28.6%T opening success
50.1%CT opening success
0.67Enemies flashed / flash
13.7%Flash assists
2.90HE damage / grenade
6.46Flashes / 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 28.6133% — 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.

16% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0426%24 Aug
mirage9–13-0.0220%24 Aug
ancient13–10-0.0017%23 Aug
ancient13–20.095%19 Aug
dust26–13-0.0211%19 Aug
mirage4–130.0015%19 Aug
dust27–13-0.0426%19 Aug
mirage1–13-0.0333%15 Aug
dust24–130.0043%15 Aug
nuke7–13-0.0810%15 Aug
mirage13–20.0520%15 Aug
inferno13–50.0223%15 Aug
anubis13–11-0.0520%15 Aug
ancient10–130.0543%14 Aug
mirage13–90.1031%13 Aug
inferno5–13-0.0123%13 Aug
inferno13–80.0131%13 Aug
cache16–130.0827%1 Aug
nuke13–110.0222%31 Jul
cache10–130.0727%28 Jul
mirage13–90.0117%27 Jul
nuke9–70.0722%24 Jul
inferno2–9-0.1019%24 Jul
debris9–6-0.0617%24 Jul
dust29–13-0.1121%22 Jul
cache13–5-0.0320%22 Jul
mirage13–110.0731%22 Jul
ancient5–13-0.0219%22 Jul
cache13–50.1318%22 Jul
dust213–110.0025%22 Jul
mirage13–50.0724%22 Jul
nuke4–13-0.0017%16 Jul
dust211–13-0.0119%16 Jul
nuke9–70.0413%15 Jul
inferno6–90.0222%15 Jul
nuke5–13-0.0933%11 Jul
cache13–100.0049%11 Jul
inferno9–13-0.0136%11 Jul
nuke10–13-0.0224%11 Jul
inferno6–13-0.0115%11 Jul
anubis13–10-0.0022%10 Jul
mirage10–13-0.0520%10 Jul
mirage5–13-0.0411%10 Jul
dust213–90.0321%10 Jul
nuke6–13-0.0124%10 Jul
dust26–13-0.0626%9 Jul
cache2–130.0023%9 Jul
nuke13–90.0224%9 Jul
dust213–11-0.0715%9 Jul
inferno1–9-0.1136%9 Jul
inferno3–9-0.197%9 Jul
cache3–13-0.0229%9 Jul
cache3–13-0.1319%7 Jul
dust213–10-0.0434%7 Jul
mirage10–13-0.0327%6 Jul
nuke9–40.0319%6 Jul
dust27–130.0327%6 Jul
mirage15–150.0420%6 Jul
anubis13–110.0223%5 Jul
inferno10–13-0.0022%5 Jul
nuke11–13-0.0317%5 Jul
ancient2–4-0.070%5 Jul
inferno6–13-0.0223%5 Jul
mirage5–13-0.0122%4 Jul
nuke13–80.0224%4 Jul
dust213–90.0321%4 Jul
nuke13–90.1219%3 Jul
inferno8–130.0629%3 Jul
inferno7–130.0439%3 Jul
nuke16–140.0430%3 Jul
ancient8–13-0.0327%2 Jul
overpass13–90.0423%2 Jul
inferno15–15-0.0116%1 Jul
mirage13–8-0.0321%1 Jul
mirage13–9-0.0220%30 Jun
dust213–90.0824%30 Jun
inferno7–130.0429%28 Jun
dust29–13-0.0232%27 Jun
overpass11–13-0.0315%27 Jun
ancient4–130.0218%26 Jun
dust25–13-0.0224%26 Jun
mirage13–10-0.0417%26 Jun
mirage14–16-0.0626%26 Jun
mirage6–130.0521%26 Jun
inferno15–150.0820%26 Jun
dust213–110.1211%26 Jun
anubis13–110.1718%25 Jun
inferno13–100.0115%25 Jun
mirage13–60.0336%25 Jun
nuke13–90.0319%25 Jun
dust213–60.0120%25 Jun
anubis13–70.0315%24 Jun
inferno13–160.0226%24 Jun
anubis13–30.0520%24 Jun
ancient13–100.0624%24 Jun
nuke13–6-0.0324%24 Jun
inferno11–130.0418%23 Jun
nuke13–60.0226%23 Jun
mirage13–50.0225%23 Jun
nuke12–16-0.0522%23 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 →