Admir nga

Admir nga — CS2 Stats

AT76561198378154178[U:1:417888450]Steam profile ↗VAC banned

678Tracked matches57%Win rate2022Tracked since
1,586Hours in CS4Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating15,624Purple band · top ~25.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (5 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: 15,624 +2,165 3 Apr – 27 Sept · 18 days played
12,19415,742peak 15,7423 Apr27 Sept
15,742Peak Premier in tracked matches
60Days played since 2026-04-02

Premier CS Rating

  • 118 below peak (15,742)
  • +3,016 over 90 days
  • Next: Pink band at 20,000 — 4,376 to go
  • Reached: 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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches4——
Win rate75%——
K/D0.91——
Headshot %58%——

Measured 25 Sep 2026 → 2 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches13——
Win rate62%——
K/D0.91——
Headshot %53%——

Measured 5 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,993), 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 4 medianLevel 5 medianvs Level 5
Headshot rate44.4%42.7%43.8%meets
Shot accuracy11.1%11.3%12.0%0.9% short
Kill/death ratio0.900.991.020.12 short
Match win rate42.2%43.9%44.7%2.5% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAdmir ngaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,624 · Purple 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

Aim76
Positioning52
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateLWWLWTWWWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +2.7pp headshot accuracy · −49ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 628ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 595ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 620ms

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 (+2.6 against its own average).

Aim7.6
Utility1.7
Positioning5.2
Opening Duels2.3
Clutch1.2

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

ropz

Plays most like ropz 84% 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. 629ms 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

Aim7.6
Positioning5.2
Utility1.7
Mechanics7.9
Opening Duels3.1
Win Impact7.2

Composite 5.8/10 (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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time612ms−72ms
first ⅓ avg 684ms → last ⅓ avg 612ms
Headshot accuracy19.5%−7.6%
first ⅓ avg 27.1% → last ⅓ avg 19.5%

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

0.15Best match rating · 13–3 · dust2, 1 Sept →
57%Best headshot accuracy · 1–9 · inferno, 28 Apr →
453msFastest reaction time · 13–3 · inferno, 22 Sept →
13–1Biggest win · cache, 1 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 62% over 21mirageWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
cacheB2814–1450%0.02
dust2A2113–862%0.03
mirageD164–1225%-0.01
infernoC83–538%0.01
ancientC73–443%-0.03
vertigoD62–433%-0.03
nuke—44–0100%-0.00
anubis—31–233%-0.02
office—21–150%-0.03
train—21–150%-0.01
fachwerk—11–0100%0.04
overpass—11–0100%0.02
stronghold—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,464Lifetime kills
0.90K/D
2,385Matches
42.2%Match win rate
44.4%Headshot % · Top 50% of Level 4 players
11.1%Shot accuracy
4,409MVPs
828Hours (in match)
1,813Bombs planted
360Bombs defused

Most-used weapons

AWP8,202
AK-477,386
SSG 081,505
AUG1,324
SG 5531,143
MP9664

Lifetime map wins

3,869dust2
2,342inferno
838vertigo
672train
532office
531cbble
501nuke
9ar_baggage

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

Faceit stats

Combat

70Matches
53%Win rate
0.84Avg K/D
66.5ADR
43%Headshot %

Clutches & streaks

26%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2157%0.8613.7
Inferno1155%0.8910.4
Dust2757%1.0814.0
Ancient580%0.597.8
Anubis3100%1.6714.3
Nuke367%0.679.3
Cache1100%1.4413.0
Vertigo10%0.5610.0

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.

18.8%Headshot accuracy
37.2%Accuracy (enemy spotted)
38.4%Spray accuracy
85.7%Counter-strafing
9.5°Preaim
629msReaction time
45.3%T opening success
39.2%CT opening success
0.44Enemies flashed / flash
3.3%Flash assists
2.91HE damage / grenade
1.95Flashes / 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 0.4439 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 39.237% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–10-0.0227%27 Sept →
nuke16–13-0.0524%26 Sept →
ancient13–4-0.0339%26 Sept →
inferno11–130.0217%22 Sept →
inferno13–30.0222%22 Sept →
inferno8–80.0342%12 Sept →
vertigo9–70.1421%12 Sept →
inferno9–70.1018%12 Sept →
dust213–100.0317%11 Sept →
dust210–13-0.069%8 Sept →
mirage8–13-0.0344%8 Sept →
mirage13–6-0.0530%6 Sept →
cache11–13-0.0216%5 Sept →
dust213–30.1521%1 Sept →
cache13–20.1021%31 Aug →
cache13–80.0722%7 Aug →
anubis8–130.0222%7 Aug →
mirage2–13-0.078%7 Aug →
mirage13–80.0312%4 Aug →
cache13–6-0.0613%2 Aug →
vertigo5–13-0.0621%1 Aug →
cache13–10.0712%1 Aug →
ancient7–13-0.098%29 Jul →
dust213–80.0219%29 Jul →
cache11–130.004%10 Jul →
fachwerk13–80.0416%10 Jul →
dust23–2-0.0417%10 Jul →
cache10–13-0.0216%9 Jul →
cache7–13-0.0528%9 Jul →
dust213–50.1116%9 Jul →
dust211–100.0013%8 Jul →
mirage13–40.059%8 Jul →
dust29–130.0321%8 Jul →
cache13–11-0.0141%5 Jul →
dust213–80.0928%5 Jul →
office12–12-0.0124%2 Jul →
mirage10–130.0616%2 Jul →
overpass16–140.0210%1 Jul →
inferno5–13-0.0129%30 Jun →
mirage13–90.0126%28 Jun →
mirage4–13-0.0220%18 Jun →
dust213–80.1035%18 Jun →
mirage10–130.0224%18 Jun →
dust29–130.0737%18 Jun →
mirage8–13-0.0619%15 Jun →
stronghold4–13-0.0116%14 Jun →
mirage8–130.0926%11 Jun →
cache13–100.0623%11 Jun →
inferno14–160.0526%9 Jun →
vertigo7–11-0.1114%7 Jun →
dust213–70.0326%6 Jun →
cache9–130.0326%28 May →
cache13–11-0.0226%27 May →
dust25–13-0.0411%20 May →
mirage4–13-0.0132%18 May →
mirage9–13-0.0543%17 May →
dust212–10.1228%17 May →
mirage2–80.0140%16 May →
anubis13–11-0.0720%15 May →
cache11–130.0732%14 May →
cache8–13-0.0332%14 May →
cache10–10.0233%13 May →
cache13–8-0.0018%13 May →
cache8–13-0.0228%13 May →
cache12–120.0222%11 May →
cache13–90.0636%11 May →
cache13–10.1430%9 May →
cache13–90.1240%9 May →
nuke13–90.0230%8 May →
cache6–13-0.0620%3 May →
ancient6–130.0116%2 May →
cache12–120.0522%1 May →
ancient1–13-0.1118%1 May →
ancient4–00.0820%1 May →
cache13–50.0322%1 May →
cache10–130.0424%30 Apr →
cache13–7-0.0533%30 Apr →
cache3–13-0.0926%30 Apr →
cache10–130.0522%29 Apr →
inferno1–9-0.0757%28 Apr →
dust211–13-0.0430%25 Apr →
office13–11-0.0435%25 Apr →
anubis10–13-0.0321%24 Apr →
mirage2–13-0.0926%24 Apr →
dust210–13-0.0427%24 Apr →
ancient1–13-0.1033%21 Apr →
dust213–20.0731%18 Apr →
dust213–100.0119%18 Apr →
nuke13–80.0122%18 Apr →
train12–120.0052%16 Apr →
vertigo13–40.0229%16 Apr →
dust213–10-0.0544%12 Apr →
vertigo12–12-0.058%11 Apr →
train13–2-0.0350%10 Apr →
dust24–110.0121%9 Apr →
vertigo5–13-0.0924%5 Apr →
nuke13–40.0221%5 Apr →
ancient13–60.0133%5 Apr →
inferno13–11-0.0713%3 Apr →
mirage9–13-0.107%2 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 →

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