4xton

4xton — CS2 Stats

US76561198063808689[U:1:103542961]Steam profile ↗

4,805Tracked matches46%Win rate2020Tracked since
5,352Hours in CS44Hrs last 2 wks
CSDB Rating5.1 DevelopingHybrid Rifler
FaceitLevel 5 · 1,430 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GG4xtonFACEITLevel 5 · 1,430 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning41
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY40564Last 10040%Win rateWLLLLLWWWW

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

Player DNA

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

Aim7.9
Aggression5.2
Utility6.0
Positioning4.1
Opening Duels1.0
Clutch4.6

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 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 42% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim7.9
Positioning4.1
Utility6.0
Mechanics7.3
Opening Duels1.5
Win Impact3.8

Composite 5.1/10 (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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time585ms−33ms
first ⅓ avg 618ms → last ⅓ avg 585ms
Headshot accuracy26.8%+3.7%
first ⅓ avg 23.1% → last ⅓ avg 26.8%

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

0.17Best rating — inferno 9–3
131Biggest win — nuke
5Longest win streak
79In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 58% over 12dust2Weakest map · 26% over 23
MapGradePlayedRecordWin rateAvg rating
dust2D2361726%-0.03
mirageC23101343%-0.01
infernoB1910953%0.00
nukeA127558%-0.01
ancientB115645%-0.03
cacheD72529%-0.06
anubis4040%-0.06
train1010%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (26% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

204,119Lifetime kills
0.73K/D
7,446Matches
44.2%Match win rate
69.3%Headshot % · Top 5% of tracked players
5.3%Shot accuracy
15,534MVPs
23,043Hours (in match)
6,266Bombs planted
3,410Bombs defused

Most-used weapons

AK-47104,618
MP94,577
AWP4,177
MAC-102,070

Lifetime map wins

13,607dust2
10,495nuke
10,190inferno
5,156vertigo
2,357train
556office
84italy
22cbble

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

Faceit stats

Combat

452Matches
48%Win rate
0.95Avg K/D
70.1ADR
56%Headshot %

Clutches & streaks

43%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7246%0.8813.0
Ancient7247%0.9413.2
Inferno6038%0.9112.4
Nuke5949%0.9813.1
Dust23938%0.8412.4
Anubis3557%0.8613.1
Vertigo2959%1.0713.6
Overpass2162%0.9411.4

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.

27.0%Headshot accuracy
32.8%Accuracy (enemy spotted)
44.3%Spray accuracy
82.8%Counter-strafing
11.5°Preaim
593msReaction time
26.5%T opening success
41.7%CT opening success
0.54Enemies flashed / flash
6.3%Flash assists
8.80HE damage / grenade
11.02Flashes / 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 26.528% — 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.

26% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–90.0130%28 Aug
anubis1–13-0.1227%28 Aug
nuke9–13-0.0253%28 Aug
dust29–13-0.0019%27 Aug
inferno4–13-0.0543%27 Aug
mirage10–13-0.0327%27 Aug
nuke9–70.0725%27 Aug
dust213–11-0.0514%27 Aug
ancient13–7-0.0847%27 Aug
inferno13–7-0.0529%27 Aug
dust29–13-0.0442%25 Aug
nuke12–12-0.0535%25 Aug
anubis12–120.0225%25 Aug
mirage13–90.0124%25 Aug
inferno11–40.0435%24 Aug
mirage13–20.1133%24 Aug
dust23–13-0.0123%23 Aug
ancient13–90.1230%23 Aug
nuke3–13-0.0424%22 Aug
ancient3–13-0.0912%22 Aug
dust210–13-0.0624%22 Aug
mirage3–7-0.0457%22 Aug
inferno13–40.0121%22 Aug
dust211–13-0.0220%22 Aug
cache13–50.0226%22 Aug
inferno13–11-0.0312%21 Aug
ancient8–13-0.0720%21 Aug
mirage11–13-0.0624%21 Aug
nuke13–60.0326%20 Aug
inferno13–60.0315%20 Aug
dust23–13-0.080%20 Aug
mirage11–13-0.0521%20 Aug
ancient13–30.0318%19 Aug
inferno13–80.0316%19 Aug
mirage11–13-0.0632%19 Aug
mirage13–10-0.0915%19 Aug
dust28–13-0.0424%19 Aug
inferno13–80.0727%18 Aug
cache6–13-0.1133%18 Aug
dust25–13-0.0650%18 Aug
nuke2–9-0.1017%12 Aug
inferno9–30.1714%12 Aug
inferno7–10.0715%10 Aug
ancient5–13-0.0227%10 Aug
nuke11–130.0015%10 Aug
mirage2–13-0.0912%10 Aug
cache0–10-0.0820%10 Aug
dust26–13-0.0726%10 Aug
mirage13–2-0.0138%6 Aug
mirage13–60.0426%6 Aug
mirage7–130.0619%6 Aug
nuke13–50.0020%6 Aug
dust24–13-0.0322%6 Aug
mirage10–13-0.0017%6 Aug
dust27–9-0.0135%5 Aug
mirage8–130.0121%5 Aug
dust29–13-0.0732%5 Aug
inferno8–13-0.0333%5 Aug
mirage13–100.0124%5 Aug
cache8–13-0.1220%5 Aug
dust213–7-0.0137%4 Aug
cache12–12-0.0424%1 Aug
mirage1–1-0.170%28 Jul
inferno13–8-0.0535%28 Jul
dust23–13-0.1435%28 Jul
ancient4–13-0.0723%28 Jul
nuke13–10.0026%23 Jul
mirage12–12-0.0516%23 Jul
ancient13–110.0230%23 Jul
inferno6–13-0.0322%23 Jul
inferno10–130.1120%22 Jul
train6–130.0727%21 Jul
dust213–110.0029%21 Jul
inferno3–13-0.0519%21 Jul
inferno8–13-0.057%20 Jul
mirage14–16-0.0525%19 Jul
ancient11–13-0.0628%18 Jul
ancient5–3-0.0123%18 Jul
ancient9–13-0.086%17 Jul
anubis0–13-0.0713%16 Jul
mirage13–20.0730%15 Jul
inferno5–10-0.055%14 Jul
cache10–13-0.0530%14 Jul
dust24–13-0.0912%14 Jul
anubis0–13-0.0844%14 Jul
dust29–130.0330%12 Jul
inferno9–13-0.0411%11 Jul
dust26–13-0.0426%5 Jul
mirage16–140.0620%30 Jun
dust213–60.0939%30 Jun
inferno8–13-0.0226%30 Jun
nuke13–7-0.0333%30 Jun
mirage8–13-0.0024%30 Jun
mirage13–9-0.0217%30 Jun
dust28–13-0.0413%28 Jun
cache13–10-0.0733%25 Jun
nuke13–5-0.0423%22 Jun
mirage13–70.0239%22 Jun
dust213–5-0.0920%20 Jun
dust213–60.0224%20 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 →