kxllsyd<3

kxllsyd<3 — CS2 Stats

US76561198280381543[U:1:320115815]Steam profile ↗

401Tracked matches67%Win rate2024Tracked since
511Hours in CS1Hrs last 2 wks
CSDB Rating5.4 Developing
FaceitLevel 4 · 1,007 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 medianLevel 5 medianvs Level 5
Headshot rate48.8%42.7%44.0%above
Shot accuracy0.0%10.8%11.6%11.6% short
Kill/death ratio1.621.001.03above
Match win rate47.2%44.1%45.1%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkxllsyd<3FACEITLevel 4 · 1,007 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning64
Utility33

0–100 skill scores via Leetify.

Recent form

HOT58384Last 10058%Win rateWWWWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Aim5.8
Aggression9.3
Utility3.3
Positioning6.4
Opening Duels4.3
Clutch6.0

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

sh1ro

Plays most like sh1ro 85% 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

Reaction time. 715ms 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

Aim5.8
Positioning6.4
Utility3.3
Mechanics7.3
Opening Duels4.3
Win Impact10.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.07−0.00
first ⅓ avg 0.07 → last ⅓ avg 0.07
Reaction time701ms−12ms
first ⅓ avg 713ms → last ⅓ avg 701ms
Headshot accuracy22.0%+1.7%
first ⅓ avg 20.3% → last ⅓ avg 22.0%

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

0.25Best rating — inferno 9–6
130Biggest win — alpine
10Longest win streak
W10Current streak
105In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 77% over 13dust2Weakest map · 54% over 61
MapGradePlayedRecordWin rateAvg rating
dust2B61332854%0.06
infernoS1310377%0.09
nukeS86275%0.08
mirage41325%0.07
vertigo41325%0.05
alpine330100%0.09
cache220100%0.09
anubis2020%0.04
overpass21150%0.05
ancient110100%0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (54% over 61). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,009Lifetime kills
1.62K/D · Top 5% of Level 4 players
674Matches
47.2%Match win rate · Top 25% of Level 4 players
48.8%Headshot % · Top 25% of Level 4 players
0.0%Shot accuracy
1,908MVPs
242Hours (in match)
575Bombs planted
209Bombs defused

Most-used weapons

Lifetime map wins

2,117dust2
950nuke
886inferno
390vertigo
127train
53office
9lake
1ar_shoots

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

Faceit stats

Combat

3Matches
33%Win rate
0.99Avg K/D
80.3ADR
63%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.0617.0
Inferno10%0.8713.0

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.

23.9%Headshot accuracy
33.2%Accuracy (enemy spotted)
30.7%Spray accuracy
82.7%Counter-strafing
10.8°Preaim
715msReaction time
41.7%T opening success
52.8%CT opening success
0.46Enemies flashed / flash
5.6%Flash assists
9.05HE damage / grenade
1.85Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 715.2532ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.461 — below the 0.5 mark we flag

    Grenade Lineups

Recent matches

MapScoreRatingHS%Date
dust29–00.0613%22 Aug
cache13–10-0.0320%3 Aug
inferno9–70.1121%1 Aug
dust213–110.0925%22 Jul
inferno13–70.1038%15 Jun
inferno13–50.1719%15 Jun
nuke13–50.0745%15 Jun
cache13–60.2129%15 Jun
dust213–90.0728%13 Jun
inferno9–40.1316%13 Jun
inferno7–9-0.0413%29 May
dust213–40.1519%18 May
nuke13–70.1728%18 May
inferno9–50.129%18 May
dust22–12-0.0319%28 Feb
alpine13–00.2127%5 Feb
dust213–30.1114%5 Feb
nuke6–13-0.0219%5 Feb
dust28–130.0224%30 Jan
dust213–70.1115%30 Jan
dust211–130.0132%27 Jan
inferno13–70.0818%27 Jan
dust213–90.0227%27 Jan
dust213–10.1021%25 Jan
dust29–130.0524%25 Jan
dust24–13-0.1229%23 Jan
dust21–90.060%23 Jan
alpine12–2-0.0416%23 Jan
alpine13–110.0931%22 Jan
anubis9–130.0616%22 Jan
dust213–30.0823%22 Jan
dust29–130.0622%21 Jan
dust29–13-0.0127%21 Jan
dust28–10.2031%21 Jan
dust22–70.2055%20 Jan
dust213–70.1225%20 Jan
dust213–110.1522%19 Jan
dust213–90.0628%17 Jan
dust213–11-0.0612%17 Jan
dust27–130.0724%13 Jan
inferno9–130.0723%13 Jan
overpass15–150.0416%5 Jan
dust213–60.0521%5 Jan
dust213–30.0526%4 Jan
dust20–5-0.0023%4 Jan
dust28–13-0.0222%3 Jan
dust213–70.0636%3 Jan
dust27–100.0815%30 Dec
dust24–130.0111%28 Dec
dust28–130.0526%29 Nov
dust213–70.0032%29 Nov
inferno9–130.0222%11 Nov
dust213–20.0425%11 Nov
dust213–10.2214%11 Nov
dust213–70.0929%10 Nov
dust213–110.1117%10 Nov
dust213–90.1233%9 Nov
dust26–130.0125%5 Nov
inferno13–110.0015%4 Nov
dust26–13-0.0019%3 Nov
dust25–13-0.0311%3 Nov
nuke13–40.0943%3 Nov
dust213–30.1424%3 Nov
dust26–13-0.0414%3 Nov
dust213–80.0427%30 Oct
dust213–60.0117%30 Oct
dust213–70.1539%29 Oct
mirage6–130.0418%29 Oct
dust213–40.0117%29 Oct
nuke13–50.1218%29 Oct
dust21–50.1611%26 Oct
vertigo12–12-0.0022%26 Oct
nuke13–100.1024%25 Oct
vertigo13–100.1629%25 Oct
nuke12–12-0.0116%25 Oct
mirage11–130.0532%25 Oct
inferno13–60.1616%25 Oct
vertigo4–13-0.0218%25 Oct
inferno9–60.2520%25 Oct
dust27–130.0122%24 Oct
dust213–40.1218%24 Oct
mirage14–160.0727%24 Oct
nuke13–110.1630%24 Oct
overpass13–100.0625%24 Oct
dust212–120.0314%24 Oct
dust211–13-0.0618%23 Oct
dust213–00.118%23 Oct
dust213–110.0520%22 Oct
dust210–130.0632%22 Oct
dust23–13-0.0020%22 Oct
ancient13–50.0921%20 Oct
mirage13–30.1223%20 Oct
dust210–13-0.0317%20 Oct
anubis8–130.0214%19 Oct
dust28–130.0718%19 Oct
dust25–130.1019%19 Oct
vertigo10–130.0517%17 Oct
inferno13–100.0720%17 Oct
dust213–20.1826%17 Oct
dust213–110.0219%17 Oct

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →