muQ

muQ — CS2 Stats

DE76561197989024874[U:1:28759146]Steam profile ↗✓ No bans

206Tracked matches48%Win rate2023Tracked since
2,698Hours in CS15Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

+11Tracked matches · now 206
+8.9ppWin rate · 39.3% → 48.1%

Rating over time

1,148Highest Faceit ELO seen on CSDB
29Days played since 2025-10-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGmuQPEAK ELO1,148csdb.gg/stats

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Performance scores

Aim71
Positioning50
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateWTWWLLWLLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +7.9pp headshot accuracy · +1ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 41%
  • Avg reaction 689ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 30%
  • Avg reaction 686ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 27%
  • Avg reaction 685ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim7.1
Utility6.0
Positioning5.0
Opening Duels1.5
Clutch4.0

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 656ms 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

Aim7.1
Positioning5.0
Utility6.0
Mechanics8.4
Opening Duels1.2
Win Impact4.4

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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time669ms−32ms
first ⅓ avg 701ms → last ⅓ avg 669ms
Headshot accuracy25.1%+1.4%
first ⅓ avg 23.7% → last ⅓ avg 25.1%

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.

Personal bests

0.08Best match rating · 13–3 · dust2, 2 Jan →
100%Best headshot accuracy · 2–0 · mirage, 11 Oct →
484msFastest reaction time · 5–13 · nuke, 1 Oct →
13–0Biggest win · train, 19 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 67% over 9dust2Weakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
dust2C2510–1540%-0.03
infernoB189–950%-0.05
mirageA149–564%-0.01
nukeC125–742%-0.04
overpassS96–367%-0.03
trainC94–544%-0.03
ancientA74–357%-0.04
anubis—40–40%-0.03
cache—11–0100%-0.05
fachwerk—11–0100%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

239,504Lifetime kills
0.70K/D
5,371Matches
39.9%Match win rate
66.7%Headshot % · Top 5% of tracked players
14.3%Shot accuracy · Top 50% of tracked players
13,204MVPs
10,073Hours (in match)
6,797Bombs planted
4,082Bombs defused

Most-used weapons

AK-47124,615
AWP18,020
FAMAS1,890
UMP-451,505
SSG 081,237

Lifetime map wins

11,419dust2
5,685inferno
2,253cbble
2,024nuke
1,926train
412dust
400vertigo
129aztec

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

Faceit stats

Combat

44Matches
61%Win rate
0.87Avg K/D
64.9ADR
51%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage967%1.0813.0
Dust2520%0.6010.2
Anubis475%0.689.3
Nuke3100%1.3610.3
Ancient250%0.7413.0
Inferno1100%1.3818.0
Cache1100%0.8113.0

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.

23.1%Headshot accuracy
32.0%Accuracy (enemy spotted)
33.7%Spray accuracy
87.9%Counter-strafing
9.1°Preaim
656msReaction time
31.9%T opening success
38.0%CT opening success
0.79Enemies flashed / flash
10.4%Flash assists
5.49HE damage / grenade
7.86Flashes / 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 31.8946% — 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.

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0817%15 Oct →
inferno15–150.0228%11 Oct →
mirage2–00.04100%11 Oct →
cache16–14-0.0523%11 Oct →
dust213–16-0.0837%11 Oct →
mirage8–13-0.0816%11 Oct →
dust216–14-0.0325%11 Oct →
dust29–13-0.0623%22 Sept →
dust22–13-0.0622%12 Sept →
inferno6–9-0.0815%12 Sept →
ancient13–30.0023%12 Sept →
inferno13–100.0132%23 Aug →
dust213–7-0.0120%23 Aug →
overpass13–2-0.0333%23 Aug →
nuke13–10-0.0524%7 Aug →
mirage13–7-0.0619%7 Aug →
inferno13–8-0.0911%7 Aug →
train7–13-0.0118%24 Jul →
ancient3–13-0.0731%24 Jul →
dust212–12-0.0114%24 Jul →
fachwerk13–6-0.0822%24 Jul →
overpass7–13-0.0630%7 Feb →
nuke5–13-0.0214%7 Feb →
ancient4–13-0.0418%7 Feb →
nuke5–13-0.0318%6 Feb →
inferno2–9-0.0713%5 Feb →
anubis5–13-0.0218%5 Feb →
dust25–130.0328%5 Feb →
inferno13–8-0.0421%2 Feb →
nuke12–12-0.0428%2 Feb →
mirage9–13-0.0324%2 Feb →
dust28–13-0.0429%2 Feb →
dust24–13-0.1133%31 Jan →
anubis7–130.0036%31 Jan →
dust213–11-0.0510%31 Jan →
nuke13–16-0.0324%31 Jan →
inferno16–13-0.0125%31 Jan →
anubis5–13-0.0716%23 Jan →
dust213–9-0.0020%23 Jan →
ancient13–7-0.0227%23 Jan →
mirage13–11-0.0521%23 Jan →
nuke11–13-0.0618%23 Jan →
dust213–80.0021%7 Jan →
train4–13-0.0411%3 Jan →
train7–13-0.0413%3 Jan →
inferno6–13-0.0428%3 Jan →
dust211–13-0.0634%3 Jan →
inferno7–13-0.0145%2 Jan →
dust211–13-0.0220%2 Jan →
nuke9–13-0.0915%2 Jan →
dust213–30.0825%2 Jan →
mirage13–40.0324%19 Dec →
dust213–4-0.0725%19 Dec →
overpass13–10.0119%19 Dec →
nuke13–10-0.0125%19 Dec →
overpass5–60.0232%12 Dec →
inferno13–5-0.0424%12 Dec →
dust213–6-0.0716%12 Dec →
inferno5–13-0.0812%12 Dec →
overpass5–00.0325%12 Dec →
train13–11-0.0637%12 Dec →
dust212–12-0.0317%12 Dec →
dust26–13-0.0322%11 Dec →
inferno13–5-0.0717%11 Dec →
nuke13–4-0.0322%11 Dec →
train13–8-0.0910%8 Dec →
mirage13–8-0.0022%8 Dec →
mirage12–12-0.0333%28 Nov →
overpass13–9-0.0233%23 Nov →
train13–6-0.0323%23 Nov →
inferno13–7-0.0117%23 Nov →
dust212–12-0.0013%23 Nov →
mirage13–6-0.0517%23 Nov →
dust213–40.0218%19 Nov →
nuke13–6-0.0224%19 Nov →
train13–00.0035%19 Nov →
mirage9–130.0318%19 Nov →
inferno13–10-0.0816%19 Nov →
overpass7–8-0.0842%30 Oct →
dust212–12-0.0517%30 Oct →
dust210–13-0.0815%30 Oct →
ancient5–13-0.0724%23 Oct →
inferno11–13-0.0223%23 Oct →
mirage13–2-0.0425%22 Oct →
ancient13–4-0.0224%22 Oct →
inferno2–13-0.0711%22 Oct →
dust213–6-0.0233%22 Oct →
train12–12-0.0017%15 Oct →
anubis8–13-0.0423%15 Oct →
mirage13–20.0331%15 Oct →
inferno13–11-0.0522%15 Oct →
overpass4–13-0.0638%15 Oct →
ancient13–9-0.0333%15 Oct →
dust211–13-0.0525%15 Oct →
inferno2–6-0.0825%15 Oct →
mirage13–9-0.0122%15 Oct →
train10–13-0.0311%12 Oct →
overpass13–2-0.0516%12 Oct →
mirage3–20.0438%1 Oct →
nuke5–13-0.0724%1 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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