azul_ola

azul_ola — CS2 Stats

76561198060467737[U:1:100202009]Steam profile ↗✓ No bans

1,789Tracked matches57%Win rate2020Tracked since
1,612Hours in CS19Hrs last 2 wks
CSDB Rating5.6 SolidPassive Rifler
Premier CS Rating14,777Blue band · top ~29.6% of ranked players (population est.)
CSDB Leaderboard#21551 of 34210 tracked
FaceitLevel 3 · 809 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate37.8%42.1%42.5%4.6% short
Shot accuracy5.3%12.1%10.9%5.6% short
Kill/death ratio0.870.990.990.12 short
Match win rate45.7%43.9%44.2%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGazul_olaFACEITLevel 3 · 809 ELOSTANDINGTop 90.6% of rankedPREMIER14,777 · Blue bandcsdb.gg/stats

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Performance scores

Aim74
Positioning43
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49501Last 10049%Win rateLWWLLWLWLW

Last 10 vs previous 10: -40pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.4
Aggression2.9
Utility5.6
Positioning4.3
Opening Duels0.0
Clutch1.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 573ms 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

Aim7.4
Positioning4.3
Utility5.6
Mechanics8.1
Opening Duels0.5
Win Impact7.2

Composite 5.6/10 (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 rating-0.00+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time577ms−10ms
first ⅓ avg 586ms → last ⅓ avg 577ms
Headshot accuracy13.8%+1.6%
first ⅓ avg 12.2% → last ⅓ avg 13.8%

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.

Highlights

0.16Best rating — ancient 13–3
132Biggest win — nuke
8Longest win streak
124In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 65% over 17anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D2481633%-0.02
nukeB179853%-0.02
ancientS1711665%-0.01
mirageS1711665%-0.01
cacheC94544%-0.02
infernoB84450%-0.04
anubisD72529%-0.03
overpass1010%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,011Lifetime kills
0.87K/D
2,258Matches
45.7%Match win rate · Top 50% of Level 3 players
37.8%Headshot %
5.3%Shot accuracy
3,784MVPs
922Hours (in match)
2,824Bombs planted
599Bombs defused

Most-used weapons

Lifetime map wins

3,146inferno
2,937nuke
2,760dust2
1,422vertigo
588train
481office
25italy
8militia

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

Faceit stats

Combat

32Matches
44%Win rate
0.92Avg K/D
71.7ADR
36%Headshot %

Clutches & streaks

26%1v1 clutch win
32%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1127%0.8414.1
Vertigo838%1.0316.9
Inferno540%0.9212.6
Nuke367%0.6611.0
Dust23100%1.2914.3
Anubis10%0.9313.0
Ancient1100%0.569.0

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.

13.4%Headshot accuracy
38.7%Accuracy (enemy spotted)
36.0%Spray accuracy
86.6%Counter-strafing
10.1°Preaim
573msReaction time
24.9%T opening success
34.3%CT opening success
0.57Enemies flashed / flash
6.3%Flash assists
6.19HE damage / grenade
9.45Flashes / 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 13.3874% — below the 15% mark we flag

    Aim Training
  2. 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 24.9482% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache10–13-0.048%29 Aug
dust213–50.1114%29 Aug
nuke13–110.0110%29 Aug
inferno9–13-0.0111%29 Aug
ancient6–13-0.0616%29 Aug
nuke16–13-0.0213%29 Aug
cache8–130.0317%29 Aug
mirage13–9-0.0210%26 Aug
ancient12–16-0.028%25 Aug
ancient13–90.0615%25 Aug
nuke13–4-0.036%25 Aug
dust213–50.0011%25 Aug
inferno13–5-0.0612%23 Aug
nuke13–11-0.0315%23 Aug
nuke13–70.0720%23 Aug
ancient13–10-0.045%21 Aug
mirage13–110.0012%21 Aug
anubis1–13-0.0530%21 Aug
mirage13–70.0419%20 Aug
dust213–9-0.0313%20 Aug
nuke13–9-0.0221%20 Aug
mirage5–13-0.0317%20 Aug
cache10–13-0.019%19 Aug
ancient13–9-0.0117%19 Aug
dust210–13-0.0212%18 Aug
dust28–130.0015%17 Aug
cache9–13-0.0716%16 Aug
dust210–130.0221%15 Aug
dust214–16-0.079%15 Aug
ancient13–30.169%15 Aug
ancient12–160.0219%15 Aug
nuke10–130.0213%15 Aug
nuke13–9-0.0512%30 Jul
dust211–130.0011%29 Jul
nuke2–8-0.0714%29 Jul
inferno3–13-0.084%27 Jul
mirage11–130.0417%27 Jul
cache13–8-0.0518%27 Jul
inferno16–14-0.029%27 Jul
nuke16–140.0212%27 Jul
nuke7–130.0715%27 Jul
dust26–13-0.0716%27 Jul
nuke4–13-0.0626%26 Jul
mirage13–110.0210%26 Jul
mirage10–130.028%25 Jul
anubis13–70.0111%25 Jul
nuke7–13-0.105%22 Jul
mirage13–50.0717%22 Jul
ancient4–13-0.076%19 Jul
dust26–13-0.0621%19 Jul
mirage13–9-0.035%18 Jul
cache16–12-0.0114%18 Jul
nuke10–13-0.098%18 Jul
dust29–13-0.0928%17 Jul
anubis3–13-0.088%16 Jul
ancient16–140.0214%16 Jul
dust213–80.0115%15 Jul
mirage9–13-0.088%15 Jul
cache13–110.0320%15 Jul
cache8–13-0.0313%15 Jul
anubis6–130.0113%15 Jul
mirage13–6-0.0329%14 Jul
cache13–11-0.0615%14 Jul
dust26–13-0.073%14 Jul
mirage16–14-0.0718%5 Jul
nuke13–20.0124%5 Jul
dust213–80.0526%5 Jul
ancient13–70.0416%5 Jul
dust27–13-0.0524%7 Jun
inferno13–8-0.006%7 Jun
mirage13–80.0217%11 Apr
dust29–13-0.0716%11 Apr
dust23–13-0.035%11 Apr
dust215–15-0.0324%30 Mar
anubis8–13-0.0111%30 Mar
mirage12–16-0.0611%20 Mar
anubis9–13-0.049%20 Mar
anubis13–10-0.022%18 Mar
dust24–130.0212%17 Mar
nuke6–13-0.059%16 Mar
dust213–8-0.035%16 Mar
mirage13–110.0326%11 Mar
ancient8–13-0.0710%11 Mar
inferno13–6-0.069%10 Mar
ancient13–10-0.0414%10 Mar
dust211–13-0.0424%9 Mar
overpass10–130.003%6 Mar
inferno10–13-0.0615%5 Mar
ancient13–8-0.0512%5 Mar
inferno7–13-0.0210%4 Mar
mirage13–9-0.0312%3 Mar
dust25–13-0.0911%2 Mar
mirage1–13-0.056%2 Mar
ancient13–90.0120%1 Mar
dust216–120.018%1 Mar
dust216–140.0129%1 Mar
ancient5–13-0.119%1 Mar
ancient16–13-0.019%28 Feb
ancient13–100.003%28 Feb
nuke9–130.025%28 Feb

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →