Azza

Azza — CS2 Stats

GB76561198031074372[U:1:70808644]Steam profile ↗✓ No bans

1,292Tracked matches45%Win rate2023Tracked since
6,037Hours in CS5Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating26,045Top 10% of 210,832 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#13047 of 257853 tracked
FaceitLevel 10 · 2,016 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−106Premier CS Rating · 26,151 → 26,045
0Faceit ELO · 2,016 → 2,016
+2Tracked matches · now 1,292
+2.0ppWin rate · 42.9% → 44.8%

Rating over time

Premier CS Rating: 26,045 -855 22 Apr – 27 Oct · 28 days played
24,99927,124peak 27,12422 Apr27 Oct
27,352Peak Premier in tracked matches
2,016Highest Faceit ELO seen on CSDB
50Days played since 2026-04-22

Faceit ELO

  • At peak — 2,016
  • Next: 2,500 ELO at 2,500 — 484 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-10-26
  • Level 9 first seen 2026-10-26

Premier CS Rating

  • 1,079 below peak (27,124)
  • +533 over 30 days · improving
  • -664 over 90 days
  • Next: Gold band at 30,000 — 3,955 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-10-26
  • Pink band first seen 2026-10-26

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate49.8%50.9%
Shot accuracy14.4%13.7%
Kill/death ratio0.911.09
Match win rate41.3%48.4%

Share this profile

CSDB.GGAzzaFACEITLevel 10 · 2,016 ELOSTANDINGTop 12.4% of rankedPREMIER26,045 · Red bandPEAK ELO2,016csdb.gg/stats

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Performance scores

Aim90
Positioning50
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLWWLWLLLWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +13.2pp headshot accuracy · +86ms 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 36%
  • Avg reaction 508ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 34%
  • Avg reaction 604ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 561ms

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 against its own average).

Aim9.0
Utility3.9
Positioning5.0
Opening Duels3.6
Clutch3.4

Sharp aimer

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

sh1ro

Plays most like sh1ro 89% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim9.0
Positioning5.0
Utility3.9
Mechanics7.1
Opening Duels2.1
Win Impact3.3

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time581ms−39ms
first ⅓ avg 620ms → last ⅓ avg 581ms
Headshot accuracy27.9%+5.6%
first ⅓ avg 22.3% → last ⅓ avg 27.9%

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

0.18Best match rating · 13–6 · ancient, 22 Oct →
71%Best headshot accuracy · 6–13 · cache, 27 Aug →
406msFastest reaction time · 13–7 · cache, 26 Oct →
13–1Biggest win · anubis, 24 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 86% over 7dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageD186–1233%-0.01
cacheA1811–761%-0.01
anubisB178–947%-0.02
infernoD144–1029%-0.00
nukeA116–555%-0.01
dust2D91–811%-0.03
ancientS76–186%0.01
overpass—43–175%0.04
vertigo—10–10%0.07
office—11–0100%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

246,653Lifetime kills
0.91K/D
6,656Matches
41.3%Match win rate
49.8%Headshot %
14.4%Shot accuracy · Top 50% of Level 10 players
17,169MVPs
7,585Hours (in match)
5,494Bombs planted
3,795Bombs defused

Most-used weapons

AK-4795,633
AWP56,254
P2502,763
SSG 081,986
Knife1,744

Lifetime map wins

11,271inferno
9,126dust2
4,411nuke
2,772train
2,182cbble
2,043vertigo
312office
180lake

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

Faceit stats

Combat

810Matches
52%Win rate
1.07Avg K/D
68.8ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient9154%1.0214.9
Inferno6644%1.0313.6
Mirage6445%0.9013.5
Anubis5956%1.1014.2
Nuke5761%1.1315.4
Cache2471%1.0614.8
Dust21867%1.1213.4
Overpass1753%1.0714.4

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.

28.5%Headshot accuracy
37.2%Accuracy (enemy spotted)
47.3%Spray accuracy
82.0%Counter-strafing
8.5°Preaim
602msReaction time
30.5%T opening success
46.3%CT opening success
0.54Enemies flashed / flash
5.9%Flash assists
5.87HE damage / grenade
8.09Flashes / 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 30.4809% — 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.

11% win rate across 9 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
mirage5–13-0.0626%27 Oct →
cache13–7-0.0731%26 Oct →
ancient13–60.1845%22 Oct →
inferno8–13-0.0544%12 Oct →
cache13–9-0.0535%20 Sept →
anubis11–13-0.0019%19 Sept →
anubis2–13-0.0320%28 Aug →
dust23–13-0.0329%28 Aug →
nuke13–5-0.1021%27 Aug →
cache6–13-0.0471%27 Aug →
nuke10–13-0.0617%26 Aug →
anubis13–70.0516%26 Aug →
ancient13–80.0017%23 Aug →
vertigo6–130.0725%17 Aug →
inferno2–13-0.0844%17 Aug →
anubis13–100.0226%17 Aug →
anubis0–2-0.220%14 Aug →
dust22–130.0224%10 Aug →
inferno11–130.0239%10 Aug →
cache16–14-0.060%10 Aug →
inferno12–120.0632%8 Aug →
inferno1–13-0.0732%8 Aug →
dust25–13-0.0330%7 Aug →
nuke13–4-0.0621%7 Aug →
dust213–5-0.0218%7 Aug →
nuke10–13-0.0732%7 Aug →
nuke13–30.1415%4 Aug →
anubis13–9-0.0325%1 Aug →
ancient13–60.0148%31 Jul →
mirage3–13-0.0444%31 Jul →
mirage4–9-0.0622%30 Jul →
inferno15–15-0.0227%29 Jul →
cache13–110.0624%29 Jul →
anubis11–13-0.0826%29 Jul →
ancient5–13-0.0722%29 Jul →
anubis13–1-0.030%24 Jul →
inferno7–13-0.0116%23 Jul →
anubis14–160.0713%22 Jul →
mirage13–110.0121%21 Jul →
cache5–13-0.0312%21 Jul →
inferno13–110.0331%21 Jul →
anubis13–8-0.0213%20 Jul →
dust25–13-0.0629%20 Jul →
cache13–11-0.0025%19 Jul →
mirage13–20.0741%19 Jul →
anubis11–13-0.0133%19 Jul →
mirage13–11-0.0129%19 Jul →
nuke6–13-0.0522%19 Jul →
dust215–15-0.0134%19 Jul →
mirage9–13-0.0629%19 Jul →
cache13–60.0116%19 Jul →
nuke13–50.0725%18 Jul →
cache13–8-0.0418%18 Jul →
inferno13–60.0725%18 Jul →
nuke13–40.0821%18 Jul →
mirage2–00.1450%18 Jul →
inferno11–130.0222%18 Jul →
mirage7–130.0330%16 Jul →
inferno13–5-0.0015%16 Jul →
inferno11–13-0.0415%14 Jul →
nuke4–13-0.0621%12 Jul →
anubis13–1-0.0314%11 Jul →
cache13–4-0.0414%11 Jul →
cache10–13-0.0247%5 Jul →
anubis8–13-0.0422%24 Jun →
overpass13–10.1032%24 Jun →
ancient16–130.0515%24 Jun →
anubis13–7-0.0221%24 Jun →
overpass6–13-0.0634%14 Jun →
cache7–13-0.0119%11 Jun →
cache13–5-0.0145%11 Jun →
anubis13–90.0416%11 Jun →
overpass13–80.036%10 Jun →
anubis3–13-0.0820%31 May →
mirage13–7-0.0115%28 May →
mirage16–130.0518%17 May →
dust211–13-0.0320%17 May →
office13–100.0722%17 May →
mirage12–16-0.0616%13 May →
cache12–12-0.0237%7 May →
cache2–60.0724%3 May →
dust28–13-0.0522%3 May →
mirage10–13-0.0425%3 May →
nuke13–10-0.0118%30 Apr →
cache12–12-0.0026%29 Apr →
cache13–100.0023%29 Apr →
cache13–90.0736%28 Apr →
inferno11–13-0.0329%28 Apr →
inferno13–80.0519%28 Apr →
nuke5–13-0.0228%28 Apr →
ancient13–9-0.0622%28 Apr →
anubis15–15-0.0020%26 Apr →
mirage11–13-0.0630%26 Apr →
mirage14–16-0.0117%26 Apr →
dust29–13-0.0611%25 Apr →
mirage12–16-0.0410%25 Apr →
ancient13–11-0.059%25 Apr →
mirage4–13-0.1221%24 Apr →
overpass13–80.0728%23 Apr →
mirage9–130.0729%22 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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