K3ANU-S — CS2 Stats

76561198145626188[U:1:185360460]

788Tracked matches50%Win rate2020Tracked since
3,085Hours in CS0Hrs last 2 wks
CSDB Rating5.9 SolidPassive Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 medianvs Level 10
Headshot rate40.9%52.8%11.9% short
Shot accuracy16.7%13.7%above
Kill/death ratio1.171.08above
Match win rate44.3%49.2%4.9% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGK3ANU-SFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim87
Positioning39
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY52471Last 10052%Win rateLWLWLWWLLL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim8.7
Aggression3.1
Utility3.5
Positioning3.9
Opening Duels0.0
Clutch4.0

Sharp aimerExcellent counter-strafing

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 81% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower positioning profile; 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 48 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.

Reaction time. 622ms 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

Aim8.7
Positioning3.9
Utility3.5
Mechanics9.8
Opening Duels0.4
Win Impact5.0

Composite 5.9/10 (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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time641ms+33ms
first ⅓ avg 608ms → last ⅓ avg 641ms
Headshot accuracy23.3%−0.4%
first ⅓ avg 23.7% → last ⅓ avg 23.3%

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 — mirage 13–2
132Biggest win — mirage
8Longest win streak
813In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 78% over 18dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB27131448%0.00
ancientA1912763%0.02
anubisS1814478%0.03
dust2C1761135%0.00
infernoC73443%0.01
nukeA53260%-0.01
train31233%0.05
vertigo3030%-0.01
cache1010%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,565Lifetime kills
1.17K/D · Top 50% of tracked players
3,419Matches
44.3%Match win rate
40.9%Headshot %
16.7%Shot accuracy · Top 25% of tracked players
10,772MVPs
1,354Hours (in match)
2,567Bombs planted
650Bombs defused

Most-used weapons

AK-4722,203
AWP17,106
SSG 082,177
UMP-451,697
Knife1,616
FAMAS1,348

Lifetime map wins

4,573inferno
4,159dust2
1,235train
1,025cbble
888nuke
831vertigo
548office
219lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

779Matches
50%Win rate
1.24Avg K/D
85.5ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage17945%1.1618.0
Anubis14053%1.4018.4
Ancient11950%1.3118.4
Dust28852%1.2419.1
Inferno6551%1.2418.1
Vertigo4544%1.2719.3
Nuke3142%0.9416.5
Train1753%1.2619.1

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.

23.2%Headshot accuracy
37.2%Accuracy (enemy spotted)
38.6%Spray accuracy
93.9%Counter-strafing
8.8°Preaim
622msReaction time
23.1%T opening success
33.0%CT opening success
0.58Enemies flashed / flash
7.0%Flash assists
6.18HE damage / grenade
14.31Flashes / 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 23.0623% — below the 40% mark we flag

Spend your practice time on Dust 2

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0418%1 Aug
nuke6–10.038%1 Aug
dust26–13-0.0531%19 Mar
ancient13–8-0.0022%18 Mar
dust28–130.0224%14 Mar
inferno13–9-0.064%14 Mar
dust213–80.0030%13 Mar
dust210–130.0120%13 Mar
inferno5–13-0.0229%13 Mar
mirage11–13-0.0415%13 Mar
mirage13–20.1726%18 Aug
anubis13–9-0.0125%30 Jun
mirage13–110.0324%29 Jun
nuke10–13-0.0433%28 Jun
mirage11–13-0.0018%28 Jun
mirage13–70.0524%28 Jun
anubis13–50.1119%28 Jun
mirage4–13-0.0324%28 Jun
mirage13–6-0.0335%28 Jun
ancient13–5-0.0124%27 Jun
mirage13–70.0439%27 Jun
ancient11–130.0423%27 Jun
mirage3–13-0.0429%27 Jun
anubis13–80.0021%27 Jun
dust210–13-0.0913%25 Jun
anubis13–11-0.0232%25 Jun
ancient4–13-0.0325%25 Jun
ancient9–130.0723%24 Jun
mirage1–13-0.0911%22 Jun
anubis19–170.0320%22 Jun
inferno5–130.0222%22 Jun
mirage6–13-0.0131%20 Jun
mirage8–13-0.0927%15 Jun
dust214–160.0029%14 Jun
dust29–130.0930%13 Jun
ancient16–120.0220%9 Jun
inferno13–60.0935%9 Jun
ancient13–60.0213%9 Jun
train13–90.0425%8 Jun
dust216–140.0720%3 May
mirage13–60.0739%3 May
anubis13–8-0.0236%1 May
anubis13–40.0342%1 May
mirage17–190.0421%29 Apr
mirage4–13-0.0233%29 Apr
ancient13–110.0525%28 Apr
ancient13–70.0019%26 Apr
mirage1–13-0.0625%26 Apr
mirage13–100.0231%26 Apr
anubis11–130.0122%12 Apr
train11–130.0522%11 Apr
dust213–50.0431%11 Apr
mirage13–8-0.0135%6 Apr
anubis13–90.0636%5 Apr
mirage7–130.0043%16 Mar
ancient2–130.0238%17 Feb
dust213–5-0.0613%16 Feb
ancient13–60.0224%16 Feb
nuke14–16-0.0420%15 Feb
dust214–16-0.0616%15 Feb
nuke13–110.0323%15 Feb
ancient15–15-0.0324%15 Feb
train10–130.0415%15 Feb
mirage13–50.0328%15 Feb
anubis13–100.0517%15 Feb
dust27–13-0.0032%15 Feb
anubis13–8-0.0517%10 Feb
ancient13–90.0741%9 Feb
dust211–130.0019%9 Feb
inferno9–130.0230%9 Feb
mirage10–13-0.0613%2 Feb
anubis13–60.0416%1 Feb
nuke13–5-0.0432%31 Jan
dust213–90.0123%31 Jan
anubis11–130.1427%31 Jan
ancient13–30.0228%31 Jan
dust27–130.0123%25 Jan
mirage13–60.0229%25 Jan
ancient13–100.0426%25 Jan
mirage10–130.0337%20 Jan
dust219–17-0.0030%18 Jan
mirage13–60.0536%18 Jan
ancient10–13-0.0718%11 Jan
mirage6–13-0.0512%5 Jan
vertigo14–16-0.0122%5 Jan
inferno2–13-0.0427%5 Jan
anubis13–90.0723%4 Jan
anubis16–130.0713%4 Jan
dust27–130.0222%31 Dec
ancient13–80.0320%31 Dec
vertigo9–13-0.0320%30 Dec
mirage13–110.0221%30 Dec
inferno13–70.0333%29 Dec
ancient13–100.1121%28 Dec
anubis13–90.0123%28 Dec
anubis9–13-0.0022%27 Dec
mirage13–80.0410%25 Dec
vertigo6–13-0.0022%24 Dec
ancient9–130.0220%24 Dec
anubis8–130.0626%24 Dec

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →