Muhku

Muhku — CS2 Stats

76561199509530006[U:1:1549264278]Steam profile ↗✓ No bans

1,672Tracked matches47%Win rate2023Tracked since
CSDB Rating3.9 LearningPositional Player
FaceitLevel 7 · 1,403 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGMuhkuFACEITLevel 7 · 1,403 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning40
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLWWLLLWLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −4.2pp headshot accuracy · +45ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 726ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 688ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 666ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim5.6
Utility2.0
Positioning4.0
Opening Duels1.5
Clutch3.4

Limited utility dependence

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

donk

Plays most like donk 96% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 677ms 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

Aim5.6
Positioning4.0
Utility2.0
Mechanics7.6
Opening Duels0.5
Win Impact3.9

Composite 3.9/10 (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-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time673ms+50ms
first ⅓ avg 623ms → last ⅓ avg 673ms
Headshot accuracy19.9%+6.3%
first ⅓ avg 13.5% → last ⅓ avg 19.9%

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

0.31Best match rating · 9–3 · inferno, 25 Dec →
41%Best headshot accuracy · 13–3 · nuke, 20 Sept →
406msFastest reaction time · 2–9 · inferno, 1 May →
13–3Biggest win · nuke, 20 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
2–11In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 50% over 34anubisWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB3417–1750%-0.01
infernoC166–1038%0.01
anubisD133–1023%-0.02
ancientD133–1023%-0.02
mirageC94–544%0.01
dust2C52–340%-0.03
vertigo—44–0100%0.05
train—43–175%-0.04
overpass—22–0100%0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

796Matches
50%Win rate
0.99Avg K/D
77.9ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage18749%0.9714.5
Nuke15454%1.0815.6
Ancient12448%0.9815.6
Anubis8444%0.9614.1
Inferno7043%0.9814.3
Vertigo5358%1.1217.0
Dust25153%1.0516.1
Train2868%0.9413.5

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.

18.9%Headshot accuracy
30.9%Accuracy (enemy spotted)
30.6%Spray accuracy
84.0%Counter-strafing
9.7°Preaim
677msReaction time
29.7%T opening success
33.8%CT opening success
0.24Enemies flashed / flash
0.8%Flash assists
9.60HE damage / grenade
1.58Flashes / 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. 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 0.2403 — below the 0.5 mark we flag

    Grenade Lineups →
  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 29.7234% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.009%23 Mar →
nuke19–15-0.0118%3 Mar →
nuke13–10-0.0219%3 Mar →
mirage4–13-0.0315%3 Mar →
anubis9–13-0.0322%27 Feb →
ancient3–13-0.0415%26 Feb →
vertigo9–50.0132%22 Feb →
mirage9–13-0.0120%7 Feb →
nuke8–130.0319%4 Feb →
mirage16–130.0517%2 Feb →
nuke13–60.0019%1 Feb →
inferno3–9-0.1133%1 Feb →
nuke13–10-0.0436%31 Jan →
mirage13–50.0419%23 Jan →
anubis7–13-0.039%18 Jan →
nuke13–90.0317%18 Jan →
dust27–13-0.0426%17 Jan →
ancient13–100.0616%16 Jan →
nuke9–13-0.0124%16 Jan →
nuke7–130.0530%12 Jan →
mirage11–13-0.0114%4 Jan →
nuke7–130.0127%4 Jan →
nuke13–60.0517%3 Jan →
ancient13–16-0.0213%25 Dec →
nuke5–13-0.070%20 Dec →
nuke13–11-0.0120%19 Dec →
dust213–8-0.0117%8 Dec →
train5–13-0.0720%3 Nov →
train13–9-0.0318%12 Oct →
mirage2–130.0024%27 Sept →
nuke13–30.0141%20 Sept →
nuke13–5-0.0113%20 Sept →
nuke8–13-0.0318%25 Aug →
ancient13–8-0.0315%17 Aug →
nuke13–5-0.0518%17 Aug →
train13–7-0.0433%19 Jul →
nuke13–10-0.0215%5 Jul →
inferno9–70.0513%4 Jul →
nuke13–60.0113%2 Jul →
nuke9–13-0.0612%2 Jul →
dust214–16-0.0119%1 Jul →
nuke13–160.0416%30 Jun →
ancient8–13-0.0215%29 Jun →
inferno13–8-0.0128%29 Jun →
anubis13–40.0415%29 Jun →
nuke13–40.0816%29 Jun →
anubis9–13-0.0521%29 Jun →
overpass9–60.1223%18 Jun →
nuke9–60.056%3 Jun →
inferno6–9-0.0518%3 Jun →
train13–6-0.029%22 May →
inferno6–9-0.0617%17 May →
nuke6–9-0.1011%1 May →
inferno2–9-0.1710%1 May →
nuke11–13-0.068%13 Apr →
inferno14–16-0.0418%9 Apr →
dust28–13-0.0918%1 Apr →
mirage9–130.0115%23 Mar →
inferno6–90.0525%21 Mar →
nuke9–30.0817%21 Mar →
inferno6–13-0.1120%26 Feb →
anubis9–13-0.0317%21 Feb →
anubis9–13-0.0413%18 Feb →
anubis16–13-0.047%13 Feb →
mirage13–90.0213%13 Jan →
ancient7–130.0119%30 Dec →
ancient11–130.0317%29 Dec →
anubis14–16-0.016%29 Dec →
ancient7–13-0.0522%27 Dec →
inferno7–90.0910%26 Dec →
inferno9–30.3113%25 Dec →
vertigo9–00.247%25 Dec →
ancient13–30.0110%14 Dec →
anubis13–40.0310%14 Dec →
anubis7–13-0.0524%14 Dec →
nuke6–13-0.0811%13 Dec →
inferno15–15-0.0310%12 Dec →
anubis15–150.0110%12 Dec →
ancient17–19-0.039%9 Dec →
nuke8–13-0.0512%9 Dec →
inferno13–9-0.0014%7 Dec →
nuke6–90.0121%7 Dec →
inferno9–60.1118%7 Dec →
inferno9–40.1213%7 Dec →
anubis9–13-0.0715%6 Dec →
overpass9–50.0912%5 Dec →
nuke11–13-0.0219%4 Dec →
ancient10–13-0.0511%3 Dec →
nuke4–9-0.1521%1 Dec →
nuke13–16-0.0516%27 Nov →
nuke13–40.0518%25 Nov →
dust213–10-0.0324%23 Nov →
nuke10–13-0.0515%23 Nov →
vertigo13–3-0.0410%22 Nov →
vertigo16–12-0.038%22 Nov →
ancient2–13-0.0316%21 Nov →
mirage13–80.0012%21 Nov →
nuke13–60.0412%21 Nov →
ancient14–16-0.075%20 Nov →
inferno6–9-0.0511%19 Nov →

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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