kkkk

kkkk — CS2 Stats

76561197963726407[U:1:3460679]Steam profile ↗✓ No bans

4,121Tracked matches57%Win rate2020Tracked since
CSDB Rating7.2 StrongAggressive Rifler
Premier CS Rating26,502Top 10% of 29,473 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#3152 of 55296 tracked
FaceitLevel 9 · 2,186 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGkkkkFACEITLevel 9 · 2,186 ELOSTANDINGTop 20.7% of rankedPREMIER26,502 · Red bandcsdb.gg/stats

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Performance scores

Aim86
Positioning55
Utility67

0–100 skill scores via Leetify.

Recent form

HOT5248Last 10052%Win rateWLWWWLWWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.6
Aggression6.8
Utility6.7
Positioning5.5
Opening Duels3.6
Clutch4.2

Sharp aimerStrong CT-side openerEffective flashes

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

iM

Plays most like iM 94% playstyle similarity

Most alike: aim profile, opening-fight frequency.

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 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 54% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning5.5
Utility6.7
Mechanics7.5
Opening Duels3.6
Win Impact7.2

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time520ms−123ms
first ⅓ avg 643ms → last ⅓ avg 520ms
Headshot accuracy22.9%+1.6%
first ⅓ avg 21.3% → last ⅓ avg 22.9%

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 — dust2 13–2
131Biggest win — mirage
5Longest win streak
89In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 71% over 7anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB34171750%0.00
dust2B32171553%0.01
ancientA116555%0.01
infernoS75271%-0.01
anubisD62433%-0.00
cacheC52340%-0.04
nuke42250%-0.00
vertigo110100%0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,719Matches
49%Win rate
1.06Avg K/D
83.2ADR
50%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage56551%1.0516.2
Dust239846%1.0716.3
Ancient21550%1.0817.2
Inferno12954%1.0916.8
Anubis10142%1.0516.3
Nuke8044%1.0216.9
Cache3456%0.8013.3
Vertigo2966%1.1416.0

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.

22.3%Headshot accuracy
37.8%Accuracy (enemy spotted)
38.8%Spray accuracy
83.7%Counter-strafing
10.0°Preaim
507msReaction time
35.3%T opening success
53.8%CT opening success
0.70Enemies flashed / flash
10.2%Flash assists
10.87HE damage / grenade
10.71Flashes / 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 35.3425% — below the 40% mark we flag

Spend your practice time on Anubis

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 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–50.0422%29 Aug
mirage2–13-0.0235%28 Aug
mirage13–70.0520%28 Aug
dust216–140.0414%27 Aug
ancient13–110.0510%25 Aug
mirage11–13-0.0217%24 Aug
mirage16–14-0.0119%24 Aug
inferno13–10-0.0224%24 Aug
ancient13–70.0724%24 Aug
mirage3–130.0017%23 Aug
dust25–13-0.1021%22 Aug
nuke13–110.0219%22 Aug
mirage11–130.0323%22 Aug
dust214–160.0017%22 Aug
dust213–20.0722%20 Aug
dust23–1-0.0514%20 Aug
cache13–4-0.0723%20 Aug
mirage14–160.0117%20 Aug
dust213–9-0.0532%20 Aug
ancient13–30.0623%19 Aug
ancient10–13-0.0219%19 Aug
vertigo13–90.0326%19 Aug
mirage5–13-0.0239%19 Aug
cache2–13-0.1320%17 Aug
dust29–13-0.0028%15 Aug
mirage8–13-0.0221%15 Aug
inferno13–70.0139%15 Aug
inferno13–90.0029%14 Aug
cache8–130.0017%14 Aug
nuke13–100.0924%12 Aug
ancient11–13-0.0220%12 Aug
mirage13–10.0328%12 Aug
cache13–7-0.0230%11 Aug
cache14–160.0221%9 Aug
dust216–130.0019%8 Aug
dust213–40.0714%8 Aug
anubis13–20.0721%8 Aug
mirage13–90.0325%8 Aug
dust213–9-0.0125%7 Aug
mirage7–13-0.0831%6 Aug
dust213–100.0228%6 Aug
mirage13–30.1013%5 Aug
inferno16–140.0320%5 Aug
anubis3–8-0.0613%1 Aug
dust25–13-0.0115%1 Aug
mirage6–13-0.0416%1 Aug
mirage9–130.0214%1 Aug
mirage13–80.0110%30 Jul
ancient13–16-0.0522%30 Jul
dust213–40.0627%30 Jul
ancient13–70.0018%29 Jul
dust213–20.1427%29 Jul
mirage13–100.0020%29 Jul
mirage13–160.0220%29 Jul
dust213–40.0622%28 Jul
ancient7–13-0.0415%28 Jul
mirage7–13-0.0529%27 Jul
mirage13–60.0819%27 Jul
anubis11–13-0.0211%27 Jul
mirage3–5-0.137%25 Jul
inferno13–16-0.0317%24 Jul
dust28–130.0218%23 Jul
dust213–70.0333%22 Jul
mirage4–130.0428%22 Jul
ancient13–70.0515%22 Jul
anubis7–13-0.0120%17 Jul
dust26–130.1326%17 Jul
dust21–13-0.1521%17 Jul
dust213–100.0919%16 Jul
mirage13–4-0.0414%16 Jul
dust27–13-0.0320%13 Jul
nuke15–19-0.0722%12 Jul
dust210–130.0325%11 Jul
dust29–130.0924%11 Jul
nuke10–13-0.0513%10 Jul
dust213–7-0.0025%10 Jul
inferno13–100.0323%9 Jul
dust213–10.1319%9 Jul
mirage13–90.0319%9 Jul
mirage6–130.0119%9 Jul
dust21–13-0.019%8 Jul
ancient6–13-0.0316%6 Jul
mirage13–11-0.0436%5 Jul
dust27–13-0.0348%3 Jul
dust28–13-0.0322%3 Jul
mirage0–8-0.180%2 Jul
inferno2–13-0.0727%2 Jul
dust213–100.0324%2 Jul
mirage13–7-0.0411%2 Jul
mirage13–60.0925%2 Jul
mirage13–100.0423%1 Jul
mirage16–120.0419%1 Jul
dust29–13-0.0415%30 Jun
mirage13–50.0720%30 Jun
dust211–13-0.0022%29 Jun
anubis6–13-0.0122%28 Jun
dust213–10-0.0736%27 Jun
anubis13–5-0.0123%26 Jun
mirage6–130.0320%25 Jun
ancient13–110.0520%25 Jun

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
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