Xethox

Xethox — CS2 Stats

DE76561198042971990[U:1:82706262]Steam profile ↗✓ No bans

861Tracked matches33%Win rate2024Tracked since
1,030Hours in CS1Hrs last 2 wks
CSDB Rating3.3 Learning
Premier CS Rating5,212Light Blue band · top ~77.8% of ranked players (population est.)
CSDB Leaderboard#19396 of 25272 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 medianLevel 3 medianvs Level 3
Headshot rate77.4%42.1%42.1%above
Shot accuracy0.3%12.9%12.1%11.8% short
Kill/death ratio1.961.000.99above
Match win rate42.0%42.9%43.9%1.9% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGXethoxFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER5,212 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning42
Utility62

0–100 skill scores via Leetify.

Recent form

COLD375211Last 10037%Win rateLLTTLLTWWT

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim3.8
Aggression4.5
Utility6.2
Positioning4.2
Opening Duels0.2
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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 720ms 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

Aim3.8
Positioning4.2
Utility6.2
Mechanics5.0
Opening Duels0.6
Win Impact0.0

Composite 3.3/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time732ms−35ms
first ⅓ avg 766ms → last ⅓ avg 732ms
Headshot accuracy24.6%+4.5%
first ⅓ avg 20.2% → last ⅓ avg 24.6%

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

0.15Best rating — dust2 13–5
130Biggest win — anubis
3Longest win streak
L2Current streak
24In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 55% over 11infernoWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C1881044%-0.01
mirageD1751229%-0.01
infernoD1421214%-0.02
anubisA116555%0.01
nukeD103730%-0.00
cacheC104640%-0.02
ancientC94544%-0.05
vertigoC52340%-0.05
train21150%-0.03
debris1010%-0.12
shelter110100%-0.04
office1010%0.06
overpass110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,851Lifetime kills
1.96K/D · Top 5% of Level 2 players
1,555Matches
42.0%Match win rate
77.4%Headshot % · Top 1% of Level 2 players
0.3%Shot accuracy
2,527MVPs
552Hours (in match)
1,896Bombs planted
375Bombs defused

Most-used weapons

Lifetime map wins

2,545inferno
2,189dust2
1,411nuke
644vertigo
440train
155office
57italy
3ar_shoots

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

Faceit stats

Combat

6Matches
83%Win rate
0.91Avg K/D
62.1ADR
54%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage475%0.9110.5
Dust22100%0.9210.5

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.

24.6%Headshot accuracy
27.5%Accuracy (enemy spotted)
25.3%Spray accuracy
72.3%Counter-strafing
10.5°Preaim
720msReaction time
27.0%T opening success
34.7%CT opening success
0.59Enemies flashed / flash
4.4%Flash assists
13.03HE damage / grenade
11.95Flashes / 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 720.3818ms — above the 700ms mark we flag

    Aim Training
  2. 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 27.0071% — 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.

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient5–13-0.0525%20 Aug
nuke7–13-0.0732%20 Aug
debris8–8-0.1228%4 Aug
inferno8–8-0.0327%3 Aug
inferno5–9-0.1614%3 Aug
dust213–160.0225%2 Aug
mirage15–15-0.0027%2 Aug
dust213–3-0.0141%2 Aug
cache13–6-0.0728%2 Aug
dust212–120.0120%1 Aug
nuke5–13-0.0541%1 Aug
vertigo6–13-0.088%1 Aug
cache8–13-0.0032%1 Aug
ancient7–13-0.0918%1 Aug
mirage13–8-0.0618%1 Aug
inferno5–13-0.0631%1 Aug
mirage5–13-0.0923%1 Aug
inferno3–13-0.0713%1 Aug
nuke6–130.0026%1 Aug
cache8–13-0.0629%30 Jul
cache14–16-0.0215%30 Jul
dust212–12-0.0321%30 Jul
vertigo10–13-0.0318%29 Jul
vertigo13–80.0431%29 Jul
mirage7–13-0.0519%28 Jul
inferno13–30.0928%28 Jul
cache12–40.0626%28 Jul
anubis13–40.0220%28 Jul
nuke8–130.0139%27 Jul
ancient6–13-0.0730%27 Jul
mirage13–8-0.0522%27 Jul
mirage9–13-0.0515%26 Jul
mirage16–130.0326%26 Jul
ancient13–10-0.0327%25 Jul
anubis13–00.1423%25 Jul
anubis3–13-0.0215%25 Jul
cache9–130.0023%25 Jul
dust213–70.0831%19 Jul
cache13–7-0.0427%18 Jul
cache11–13-0.0612%18 Jul
cache5–13-0.0224%17 Jul
cache13–100.0325%17 Jul
shelter13–8-0.0426%12 Jul
office8–130.0621%8 Jul
dust27–13-0.0126%2 Jul
mirage12–12-0.0119%2 Jul
train9–13-0.048%20 Jun
train13–11-0.0228%20 Jun
nuke9–40.0216%13 Jun
vertigo13–5-0.0726%6 Jun
vertigo12–12-0.1012%6 Jun
ancient13–7-0.0231%5 Jun
inferno5–13-0.0232%5 Jun
anubis13–100.0718%5 Jun
dust26–13-0.0616%4 Jun
nuke9–130.0536%3 Jun
nuke13–110.0218%3 Jun
mirage4–130.0519%2 Jun
mirage6–130.0431%1 Jun
dust210–13-0.0032%30 May
dust213–50.1518%30 May
dust213–8-0.0632%30 May
anubis12–12-0.0526%29 May
mirage6–13-0.0019%28 May
ancient6–130.0222%28 May
mirage10–130.0726%28 May
anubis13–2-0.0314%28 May
anubis3–13-0.0528%28 May
inferno8–130.0128%27 May
inferno10–130.0022%27 May
anubis10–13-0.0019%27 May
nuke9–20.0332%26 May
dust213–50.0112%25 May
dust26–13-0.0236%25 May
inferno5–9-0.1420%25 May
mirage5–13-0.0321%24 May
ancient13–10-0.0218%24 May
dust213–90.0116%24 May
inferno10–130.0526%24 May
nuke8–130.0013%24 May
dust213–7-0.0819%24 May
dust29–13-0.0127%23 May
mirage7–13-0.0413%23 May
mirage13–60.0612%23 May
dust215–15-0.0125%23 May
inferno2–130.0518%23 May
anubis13–20.0523%23 May
anubis13–9-0.0221%23 May
mirage12–12-0.0611%22 May
inferno4–13-0.0415%22 May
overpass13–60.0118%22 May
ancient5–13-0.105%22 May
inferno13–40.0117%22 May
dust213–3-0.0417%22 May
dust215–15-0.0521%21 May
mirage13–3-0.0228%21 May
nuke11–13-0.0520%21 May
inferno11–13-0.0225%21 May
ancient13–9-0.0728%21 May
anubis8–13-0.0413%20 May

Match data via Leetify.

Recent teammates

Milestones

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