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DΞMUX — CS2 Stats

76561199183246601[U:1:1222980873]✓ No bans

3,207Tracked matches50%Win rate2024Tracked since
1,561Hours in CS
CSDB Rating4.5 Developing
Premier CS Rating22,562Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#7804 of 29743 tracked
FaceitLevel 5 · 1,021 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate41.4%44.2%44.9%3.5% short
Shot accuracy0.0%11.2%11.8%11.8% short
Kill/death ratio0.881.041.040.16 short
Match win rate50.2%45.3%45.3%above

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDΞMUXFACEITLevel 5 · 1,021 ELOSTANDINGTop 67.6% of rankedPREMIER22,562 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim45
Positioning45
Utility50

0–100 skill scores via Leetify.

Recent form

COLD53–41–6Last 10053%Win rateLWLLLWLLLW

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

Player DNA

Aim4.5
Aggression8.3
Utility5.0
Positioning4.5
Opening Duels3.2
Clutch2.6

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

b1t

Plays most like b1t 82% playstyle similarity

Most alike: opening-duel success, 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. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.5
Positioning4.5
Utility5.0
Mechanics3.9
Opening Duels3.2
Win Impact5.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time592ms−4ms
first ⅓ avg 596ms → last ⅓ avg 592ms
Headshot accuracy14.5%−2.0%
first ⅓ avg 16.5% → last ⅓ avg 14.5%

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

0.19Best rating — train 13–7
13–3Biggest win — train
6Longest win streak
6–2In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 67% over 6dust2Weakest map · 50% over 60
MapGradePlayedRecordWin rateAvg rating
dust2B6030–3050%0.01
ancientA148–657%0.05
infernoB126–650%0.02
mirageS64–267%0.00
train—44–0100%0.11
anubis—21–150%-0.06
cache—10–10%0.02
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 60). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,076Lifetime kills
0.88K/D
4,149Matches
50.2%Match win rate · Top 25% of Level 5 players
41.4%Headshot %
0.0%Shot accuracy
9,780MVPs
1,561Hours (in match)
2,821Bombs planted
1,150Bombs defused

Most-used weapons

AK-4715,651
M4A4 / M4A1-S10,759
AWP7,383
MAC-103,957
MP93,560
P2000 / USP-S3,549
Glock-183,124
Galil AR1,830
Desert Eagle1,572
MP71,462

Lifetime map wins

13,244dust2
5,298inferno
2,685nuke
2,303vertigo
845train
320office
127italy

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

Faceit stats

Combat

239Matches
47%Win rate
0.91Avg K/D
74.0ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7149%0.8714.0
Dust26050%0.9415.0
Inferno3644%0.9113.6
Ancient3546%1.0716.8
Anubis2536%0.8414.2
Nuke650%0.7211.3
Cache333%0.7110.3
Overpass2100%0.7913.0

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.

14.4%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.3%Spray accuracy
67.6%Counter-strafing
12.0°Preaim
592msReaction time
43.1%T opening success
42.4%CT opening success
0.55Enemies flashed / flash
2.2%Flash assists
10.11HE damage / grenade
5.56Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.3604% — below the 15% mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
dust21–8-0.049%29 Aug →
dust213–110.0123%29 Aug →
dust25–13-0.0212%29 Aug →
dust28–13-0.0211%28 Aug →
dust23–13-0.0512%28 Aug →
dust213–110.1015%28 Aug →
dust20–13-0.0820%28 Aug →
dust211–13-0.0410%27 Aug →
dust25–13-0.0319%27 Aug →
dust213–100.0110%27 Aug →
inferno13–60.0517%27 Aug →
dust212–12-0.047%27 Aug →
dust213–80.0314%27 Aug →
ancient4–13-0.057%27 Aug →
inferno5–130.0517%27 Aug →
dust213–100.1015%26 Aug →
dust213–60.1120%26 Aug →
dust26–130.0024%26 Aug →
cache10–130.028%26 Aug →
inferno2–9-0.1015%26 Aug →
dust26–130.0314%26 Aug →
dust213–40.0124%26 Aug →
dust213–60.0911%26 Aug →
dust27–13-0.0610%26 Aug →
mirage13–100.0820%26 Aug →
dust213–40.1719%25 Aug →
dust213–50.0213%25 Aug →
dust213–60.0210%25 Aug →
dust213–50.0311%25 Aug →
dust23–130.0118%25 Aug →
dust212–120.0914%25 Aug →
dust213–90.0217%25 Aug →
dust28–13-0.0215%25 Aug →
dust213–80.1121%25 Aug →
dust28–130.0212%25 Aug →
dust27–13-0.0219%25 Aug →
dust213–11-0.0220%24 Aug →
dust213–40.0122%24 Aug →
train13–30.0510%24 Aug →
inferno6–130.0312%24 Aug →
inferno13–11-0.0014%24 Aug →
dust210–130.0213%24 Aug →
dust212–120.0919%24 Aug →
dust21–8-0.0711%24 Aug →
anubis5–13-0.093%24 Aug →
dust213–11-0.0119%23 Aug →
ancient13–110.0721%23 Aug →
dust213–60.0117%23 Aug →
ancient5–13-0.0513%23 Aug →
dust23–6-0.079%23 Aug →
inferno7–4-0.015%23 Aug →
dust213–100.0413%23 Aug →
dust213–90.0211%23 Aug →
mirage13–10-0.0024%23 Aug →
dust213–60.0122%23 Aug →
inferno13–60.1315%22 Aug →
dust212–120.0912%22 Aug →
vertigo4–9-0.0412%22 Aug →
dust213–100.0413%22 Aug →
ancient13–90.0619%22 Aug →
ancient13–70.1511%22 Aug →
dust210–13-0.058%22 Aug →
inferno13–30.0435%22 Aug →
mirage13–10-0.0326%22 Aug →
dust28–13-0.0612%22 Aug →
dust22–130.0012%21 Aug →
dust210–130.1018%21 Aug →
inferno11–130.0327%21 Aug →
anubis13–8-0.028%21 Aug →
ancient13–9-0.0616%21 Aug →
dust213–7-0.0117%21 Aug →
dust25–130.0213%20 Aug →
dust213–70.0121%20 Aug →
inferno7–13-0.0323%20 Aug →
ancient13–50.1212%20 Aug →
ancient5–130.0911%20 Aug →
inferno10–130.0416%19 Aug →
ancient2–13-0.0414%19 Aug →
mirage10–13-0.0412%19 Aug →
inferno13–30.0117%19 Aug →
dust213–5-0.0513%19 Aug →
dust27–13-0.0614%19 Aug →
dust212–120.0010%19 Aug →
ancient10–130.0212%18 Aug →
dust29–13-0.0414%18 Aug →
train13–70.1919%18 Aug →
mirage13–60.0216%18 Aug →
mirage9–13-0.0220%18 Aug →
train13–60.1025%18 Aug →
train13–30.0812%18 Aug →
dust26–13-0.0110%18 Aug →
dust213–50.0523%17 Aug →
ancient13–40.0811%17 Aug →
dust216–12-0.0121%17 Aug →
ancient13–90.1016%17 Aug →
dust213–10-0.0218%17 Aug →
ancient12–120.0716%17 Aug →
dust213–50.0327%17 Aug →
dust213–90.0422%17 Aug →
ancient13–70.1221%16 Aug →

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 →

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