muX

muX — CS2 Stats

76561199036653457[U:1:1076387729]Steam profile ↗✓ No bans

1,302Tracked matches52%Win rate2025Tracked since
768Hours in CS
CSDB Rating6.0 SolidPositional Player
Premier CS Rating13,547Blue band · top ~36.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,302 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,547 +71 22 Jul – 1 Nov · 38 days played
11,50414,625peak 14,62522 Jul1 Nov
14,625Peak Premier in tracked matches
43Days played since 2026-07-20

Premier CS Rating

  • 1,078 below peak (14,625)
  • -352 over 30 days · steady
  • +1,880 over 90 days
  • Next: Purple band at 15,000 — 1,453 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.6%42.0%44.4%7.8% short
Shot accuracy0.1%9.6%11.9%11.8% short
Kill/death ratio1.070.981.03above
Match win rate46.6%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGmuXPREMIER13,547 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning67
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLWWWWLWWLL

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +3.1pp headshot accuracy · −5ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 627ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 567ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 570ms

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 (+1.6 against its own average).

Aim6.7
Utility5.6
Positioning6.7
Opening Duels4.4
Clutch3.6

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

jL

Plays most like jL 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Strengths

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 74% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 558ms 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

Aim6.7
Positioning6.7
Utility5.6
Mechanics6.0
Opening Duels6.6
Win Impact5.6

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time555ms−84ms
first ⅓ avg 638ms → last ⅓ avg 555ms
Headshot accuracy10.5%−2.3%
first ⅓ avg 12.9% → last ⅓ avg 10.5%

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.

Personal bests

0.23Best match rating · 13–4 · dust2, 21 Aug →
27%Best headshot accuracy · 13–11 · anubis, 3 Aug →
430msFastest reaction time · 13–11 · dust2, 20 Sept →
13–2Biggest win · mirage, 25 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–15In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 63% over 8nukeWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%0.02
dust2A2314–961%0.02
nukeC145–936%0.02
ancientB115–645%0.02
anubisA95–456%0.01
cacheB84–450%0.04
infernoA85–363%0.03
train—20–20%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,049Lifetime kills
1.07K/D · Top 50% of Blue band
1,602Matches
46.6%Match win rate · Top 50% of Blue band
36.6%Headshot %
0.1%Shot accuracy
3,218MVPs
768Hours (in match)
1,757Bombs planted
566Bombs defused

Most-used weapons

Lifetime map wins

7,985dust2
1,097inferno
809nuke
219train
135vertigo
7office
2ar_baggage
1assault

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

Faceit stats

Combat

41Matches
54%Win rate
1.09Avg K/D
71.8ADR
34%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1145%1.4117.3
Dust2967%1.0815.9
Anubis560%0.7510.0
Inferno580%0.9815.4
Ancient425%0.8814.3
Overpass367%1.0113.3
Nuke20%0.8613.5
Cache250%1.3416.0

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.

11.0%Headshot accuracy
37.4%Accuracy (enemy spotted)
41.1%Spray accuracy
77.0%Counter-strafing
10.2°Preaim
558msReaction time
73.8%T opening success
42.6%CT opening success
0.64Enemies flashed / flash
4.7%Flash assists
7.62HE damage / grenade
9.37Flashes / 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 11.014% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–130.0025%27 Oct →
cache13–110.0719%25 Oct →
mirage13–5-0.016%25 Oct →
mirage13–20.0512%25 Oct →
dust216–13-0.0619%15 Oct →
inferno11–13-0.0514%15 Oct →
ancient13–40.148%14 Oct →
ancient13–8-0.007%14 Oct →
mirage8–13-0.028%11 Oct →
nuke8–130.0314%11 Oct →
mirage8–13-0.067%11 Oct →
cache8–130.0216%11 Oct →
inferno13–11-0.049%2 Oct →
mirage5–13-0.034%2 Oct →
nuke13–40.078%29 Sept →
mirage8–13-0.0013%29 Sept →
ancient15–150.078%27 Sept →
inferno13–70.018%27 Sept →
dust29–13-0.0114%27 Sept →
inferno11–130.0713%26 Sept →
dust213–60.0612%26 Sept →
cache13–11-0.039%25 Sept →
cache8–130.028%24 Sept →
nuke13–110.018%23 Sept →
cache13–70.016%23 Sept →
anubis13–11-0.034%23 Sept →
ancient3–7-0.048%23 Sept →
anubis10–130.006%21 Sept →
dust213–110.0117%20 Sept →
anubis11–130.0311%17 Sept →
ancient13–90.019%17 Sept →
ancient8–130.029%17 Sept →
cache13–60.087%16 Sept →
mirage7–130.039%16 Sept →
ancient11–13-0.019%15 Sept →
dust213–11-0.045%12 Sept →
dust216–12-0.0115%12 Sept →
dust213–80.019%8 Sept →
nuke13–60.069%28 Aug →
mirage13–60.027%25 Aug →
dust213–100.0110%24 Aug →
dust25–130.0513%23 Aug →
dust21–7-0.050%23 Aug →
dust210–13-0.0111%23 Aug →
mirage13–90.059%23 Aug →
train10–130.006%23 Aug →
nuke6–130.0111%21 Aug →
mirage16–120.0214%21 Aug →
dust213–40.234%21 Aug →
dust216–140.1317%20 Aug →
mirage13–9-0.0210%20 Aug →
mirage10–130.0413%19 Aug →
mirage16–130.0615%19 Aug →
cache11–130.0716%14 Aug →
ancient13–60.046%14 Aug →
inferno13–30.176%14 Aug →
nuke14–16-0.0313%14 Aug →
dust211–13-0.019%13 Aug →
mirage13–90.0114%13 Aug →
mirage13–50.0313%13 Aug →
train7–13-0.034%13 Aug →
inferno5–130.0514%13 Aug →
dust213–10-0.009%6 Aug →
mirage13–100.008%5 Aug →
mirage13–40.108%5 Aug →
nuke6–130.0012%5 Aug →
anubis11–130.0612%5 Aug →
mirage16–120.089%4 Aug →
anubis13–110.0427%3 Aug →
mirage6–130.1422%3 Aug →
ancient13–90.0310%3 Aug →
nuke10–130.029%2 Aug →
nuke7–13-0.007%2 Aug →
dust213–80.047%1 Aug →
nuke13–80.0415%1 Aug →
ancient10–130.059%1 Aug →
dust24–13-0.066%1 Aug →
nuke13–70.0217%31 Jul →
mirage11–130.0214%29 Jul →
anubis13–100.0021%27 Jul →
inferno13–9-0.0111%27 Jul →
dust29–130.0016%27 Jul →
dust213–110.029%26 Jul →
mirage11–130.0014%26 Jul →
dust217–190.0020%26 Jul →
nuke11–130.0012%26 Jul →
dust213–9-0.0213%25 Jul →
mirage11–13-0.0112%25 Jul →
anubis13–9-0.0111%24 Jul →
anubis13–10-0.0012%24 Jul →
mirage8–130.0417%23 Jul →
inferno13–70.0121%23 Jul →
ancient6–13-0.063%23 Jul →
mirage5–130.014%23 Jul →
dust211–130.0713%23 Jul →
anubis5–13-0.0615%23 Jul →
nuke10–13-0.0116%22 Jul →
dust213–100.0311%22 Jul →
cache11–130.0611%22 Jul →
mirage13–100.049%20 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.