Aziz361

Aziz361 — CS2 Stats

GB76561198139014213[U:1:178748485]Steam profile ↗✓ No bans

70Tracked matches55%Win rate2020Tracked since
921Hours in CS
CSDB Rating6.0 SolidPositional Player
Premier CS Rating16,531Purple band · top ~22.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 May 2026 (135 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: 16,531 +10,161 29 Aug – 26 May · 19 days played
4,56717,099peak 17,09929 Aug26 May
17,315Peak Premier in tracked matches
40Days played since 2020-12-01

Premier CS Rating

  • 568 below peak (17,099)
  • Next: Pink band at 20,000 — 3,469 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate36.3%44.3%46.9%10.7% short
Shot accuracy16.1%11.9%13.0%above
Kill/death ratio0.951.031.080.13 short
Match win rate38.5%45.2%46.7%8.2% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGAziz361PREMIER16,531 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning59
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY31–34–2Last 6746%Win rateLLWWWWLLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.2pp headshot accuracy · −10ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 647ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 637ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 642ms

Newest first, from the last 67 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).

Aim7.1
Utility3.0
Positioning5.9
Opening Duels4.8

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 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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. 639ms 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

Aim7.1
Positioning5.9
Utility3.0
Mechanics7.6
Opening Duels4.5
Win Impact6.7

Composite 6.0/10 (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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time634ms−40ms
first ⅓ avg 674ms → last ⅓ avg 634ms
Headshot accuracy21.7%+5.3%
first ⅓ avg 16.4% → last ⅓ avg 21.7%

Rolling 5-match average across the last 67 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 13–3 · cache, 10 May →
40%Best headshot accuracy · 13–3 · cache, 10 May →
422msFastest reaction time · 0–13 · dust2, 1 Sept →
13–0Biggest win · mirage, 13 Oct →

Across the last 67 tracked matches.

Highlights

5Longest win streak
L2Current streak
4–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 67% over 6nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C187–1139%-0.00
mirageB179–853%0.00
nukeD103–730%0.01
overpassS64–267%0.00
anubis—43–175%0.03
cache—43–175%0.03
inferno—40–40%0.04
ancient—21–150%0.01
vertigo—21–150%-0.03

Across the last 67 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,359Lifetime kills
0.95K/D
2,871Matches
38.5%Match win rate
36.3%Headshot %
16.1%Shot accuracy · Top 25% of Purple band
4,885MVPs
921Hours (in match)
2,678Bombs planted
599Bombs defused

Most-used weapons

AK-479,773
AWP4,845
P903,161
UMP-451,701
SG 5531,144
MAC-101,046

Lifetime map wins

7,067nuke
3,864dust2
2,901inferno
170safehouse
168vertigo
151lake
100cbble
82bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.0%Headshot accuracy
32.9%Accuracy (enemy spotted)
34.0%Spray accuracy
84.1%Counter-strafing
8.6°Preaim
639msReaction time
42.7%T opening success
53.0%CT opening success
0.43Enemies flashed / flash
5.5%Flash assists
11.34HE damage / grenade
2.00Flashes / 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 0.4284 — below the 0.5 mark we flag

    Grenade Lineups →
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.0633%26 May →
anubis11–130.0216%19 May →
overpass13–9-0.047%19 May →
dust213–80.0415%18 May →
mirage13–60.0314%18 May →
cache13–90.0122%18 May →
dust210–130.0217%16 May →
inferno11–130.0116%15 May →
overpass13–90.0631%15 May →
dust213–110.1220%15 May →
cache13–10-0.0129%14 May →
nuke13–90.0620%14 May →
mirage13–110.0517%13 May →
dust211–13-0.0115%12 May →
ancient13–80.0825%11 May →
dust28–130.0322%11 May →
nuke6–13-0.0015%11 May →
dust27–13-0.0219%10 May →
inferno5–13-0.0022%10 May →
cache13–30.1440%10 May →
nuke6–13-0.0325%8 May →
mirage13–50.0039%26 Mar →
overpass13–90.0021%16 Mar →
mirage12–16-0.0328%12 Mar →
nuke8–130.0220%12 Mar →
overpass15–15-0.0313%9 Mar →
mirage13–6-0.0317%7 Mar →
mirage9–13-0.0029%4 Mar →
dust213–5-0.0421%4 Mar →
dust213–7-0.0218%28 Aug →
overpass13–40.0324%28 Aug →
mirage5–13-0.0813%27 Aug →
mirage13–70.0616%27 Aug →
mirage8–13-0.0616%4 Aug →
vertigo13–100.0212%28 Oct →
dust213–60.0216%18 Oct →
nuke10–13-0.019%18 Oct →
anubis13–70.0316%16 Oct →
dust27–13-0.0116%16 Oct →
nuke13–11-0.0517%13 Oct →
nuke11–130.1123%13 Oct →
mirage13–00.0314%13 Oct →
mirage7–13-0.0120%13 Oct →
anubis13–100.0511%9 Oct →
mirage13–100.0622%8 Oct →
vertigo1–13-0.0912%8 Oct →
nuke13–50.0418%5 Oct →
mirage13–11-0.0623%5 Oct →
anubis13–50.0221%5 Oct →
mirage10–130.0214%3 Oct →
dust212–6-0.0315%10 Sept →
dust20–13-0.0817%1 Sept →
ancient6–13-0.0524%1 Sept →
mirage15–150.0520%30 Aug →
dust214–16-0.0622%29 Aug →
dust29–13-0.0816%29 Aug →
dust210–13-0.009%29 Aug →
dust27–130.0018%29 Aug →
nuke9–130.0410%27 Aug →
mirage13–100.0413%26 Aug →
inferno7–130.1216%25 Aug →
dust213–40.0920%22 Aug →
inferno8–130.0216%22 Aug →
dust213–16-0.0023%21 Aug →
nuke11–13-0.0510%19 Aug →
overpass12–160.0015%9 Dec →
cache8–160.0011%1 Dec →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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