MØURA.

MØURA. — CS2 Stats

LU76561198431101552[U:1:470835824]Steam profile ↗✓ No bans

892Tracked matches34%Win rate2020Tracked since
3,066Hours in CS27Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating20,692Top 50% of 215,248 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#74588 of 261501 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,692 +2,007 3 Apr – 6 Nov · 26 days played
18,24521,121peak 21,1213 Apr6 Nov
21,422Peak Premier in tracked matches
53Days played since 2026-04-03

Premier CS Rating

  • 429 below peak (21,121)
  • +592 over 30 days · improving
  • Next: Red band at 25,000 — 4,308 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate55.5%45.7%46.8%above
Shot accuracy12.3%12.7%13.0%0.7% short
Kill/death ratio1.281.051.06above
Match win rate48.2%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMØURA.FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER20,692 · 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

Aim60
Positioning55
Utility52

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateWLLLLLLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.2pp headshot accuracy · +16ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 531ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 562ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 555ms

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 (+1.5 against its own average).

Aim6.0
Utility5.2
Positioning5.5
Opening Duels1.7
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

iM

Plays most like iM 82% 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

Areas to improve

Reaction time. 571ms 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

Aim6.0
Positioning5.5
Utility5.2
Mechanics4.8
Opening Duels4.2
Win Impact0.0

Composite 4.9/10 (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 rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time569ms−51ms
first ⅓ avg 620ms → last ⅓ avg 569ms
Headshot accuracy16.1%+3.5%
first ⅓ avg 12.5% → last ⅓ avg 16.1%

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

0.22Best match rating · 9–2 · overpass, 21 Jun →
37%Best headshot accuracy · 10–13 · inferno, 12 Oct →
438msFastest reaction time · 5–13 · ancient, 1 Nov →
13–2Biggest win · anubis, 24 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 75% over 24dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
anubisB2513–1252%-0.00
ancientS2418–675%-0.00
dust2D112–918%-0.00
mirageD102–820%-0.02
nukeC94–544%-0.00
infernoA74–357%-0.03
overpassB63–350%0.03
cache—40–40%0.00
debris—21–150%-0.01
office—10–10%0.02
eldorado—10–10%-0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,833Lifetime kills
1.28K/D · Top 25% of Level 7 players
3,955Matches
48.2%Match win rate · Top 50% of Level 7 players
55.5%Headshot % · Top 25% of Level 7 players
12.3%Shot accuracy
10,558MVPs
1,660Hours (in match)
1,996Bombs planted
963Bombs defused

Most-used weapons

AK-4745,623
AWP3,540
UMP-452,460
MAC-102,185
MP92,171
FAMAS1,365

Lifetime map wins

4,409dust2
2,650vertigo
2,560inferno
1,291nuke
1,163train
793cbble
204office
121lake

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

Faceit stats

Combat

779Matches
50%Win rate
0.96Avg K/D
76.6ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis14049%1.0115.0
Mirage11556%0.9715.4
Ancient10559%0.9615.8
Vertigo7358%1.0716.8
Dust27240%0.8614.6
Nuke2650%0.9614.0
Inferno2429%0.8914.3
Overpass1638%1.0716.3

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.

16.0%Headshot accuracy
33.8%Accuracy (enemy spotted)
33.7%Spray accuracy
71.5%Counter-strafing
9.4°Preaim
571msReaction time
54.0%T opening success
39.8%CT opening success
0.53Enemies flashed / flash
6.1%Flash assists
6.52HE damage / grenade
8.72Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.8195% — 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.

18% win rate across 11 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
anubis13–110.0814%6 Nov →
inferno5–9-0.0716%6 Nov →
ancient5–130.0119%1 Nov →
office10–130.0212%29 Oct →
mirage5–13-0.0815%26 Oct →
dust22–13-0.0915%26 Oct →
mirage10–130.0313%25 Oct →
dust28–13-0.0422%25 Oct →
ancient13–10-0.0713%25 Oct →
ancient13–90.0216%20 Oct →
anubis5–13-0.063%20 Oct →
dust211–130.0326%18 Oct →
anubis13–5-0.0312%18 Oct →
anubis8–13-0.0511%18 Oct →
nuke9–00.2119%18 Oct →
anubis12–160.0216%18 Oct →
anubis4–13-0.0720%18 Oct →
mirage6–13-0.063%18 Oct →
cache6–13-0.0113%17 Oct →
inferno13–10-0.0222%17 Oct →
anubis8–13-0.019%16 Oct →
nuke10–13-0.0315%16 Oct →
cache6–13-0.0213%13 Oct →
ancient13–40.0116%13 Oct →
inferno10–13-0.0137%12 Oct →
dust212–120.0220%9 Oct →
anubis13–11-0.0324%6 Oct →
dust213–70.0033%5 Oct →
anubis13–16-0.029%5 Oct →
anubis13–70.059%3 Oct →
anubis13–70.0612%2 Oct →
inferno9–60.0019%2 Oct →
mirage10–13-0.0012%1 Oct →
debris9–60.0918%1 Oct →
dust22–130.0030%28 Sept →
cache7–130.0520%24 Sept →
anubis13–20.0113%24 Sept →
anubis13–100.017%13 Sept →
ancient13–100.0122%13 Sept →
inferno3–9-0.1510%13 Sept →
inferno13–90.006%13 Sept →
ancient13–110.0112%12 Sept →
anubis6–130.039%11 Sept →
anubis13–6-0.0316%11 Sept →
dust215–15-0.0022%30 Aug →
ancient13–20.0112%30 Aug →
ancient13–110.0215%12 Jul →
eldorado4–9-0.1311%12 Jul →
nuke6–9-0.0721%12 Jul →
anubis13–3-0.0519%11 Jul →
anubis10–13-0.026%11 Jul →
ancient8–130.039%11 Jul →
debris5–9-0.117%11 Jul →
nuke16–13-0.0415%11 Jul →
anubis11–130.0123%30 Jun →
anubis5–13-0.0419%27 Jun →
overpass13–9-0.0422%25 Jun →
overpass9–20.2215%21 Jun →
ancient13–8-0.044%7 Jun →
mirage10–130.056%3 Jun →
overpass11–13-0.0011%30 May →
ancient16–14-0.0115%29 May →
ancient13–40.037%26 May →
dust26–13-0.0220%24 May →
dust25–13-0.0319%19 May →
ancient13–100.0012%18 May →
inferno13–40.0511%18 May →
ancient13–80.0218%12 May →
ancient3–13-0.067%12 May →
cache10–13-0.0119%11 May →
dust210–130.0416%10 May →
mirage4–130.0319%8 May →
anubis16–14-0.019%5 May →
mirage6–13-0.0613%5 May →
mirage13–8-0.0315%5 May →
ancient10–4-0.040%4 May →
anubis16–12-0.019%4 May →
mirage15–19-0.0610%4 May →
ancient13–80.0715%4 May →
ancient13–80.0012%29 Apr →
nuke13–100.0621%28 Apr →
anubis14–16-0.029%28 Apr →
ancient11–13-0.0613%23 Apr →
overpass8–13-0.069%23 Apr →
ancient13–10-0.0111%23 Apr →
anubis13–50.1416%23 Apr →
dust213–40.0610%21 Apr →
ancient13–10-0.017%21 Apr →
nuke5–13-0.0513%21 Apr →
mirage13–5-0.013%21 Apr →
ancient11–130.0315%21 Apr →
ancient10–13-0.0011%15 Apr →
anubis7–13-0.0416%15 Apr →
overpass11–13-0.0714%12 Apr →
nuke10–13-0.0622%7 Apr →
nuke16–140.0414%5 Apr →
overpass13–110.1210%4 Apr →
anubis13–110.0113%4 Apr →
nuke8–13-0.0811%3 Apr →
ancient5–2-0.0313%3 Apr →

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 →

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