azure4259 — CS2 Stats

76561198155016683[U:1:194750955]✓ No bans

3,913Tracked matches57%Win rate2021Tracked since
2,526Hours in CS
CSDB Rating4.9 Developing
Premier CS Rating17,753Purple band · top ~17.4% of ranked players (population est.)
CSDB Leaderboard#10909 of 20003 tracked
FaceitLevel 4 · 1,016 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGazure4259FACEITLevel 4 · 1,016 ELOSTANDINGTop 81.0% of rankedPREMIER17,753 · Purple bandcsdb.gg/stats

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Performance scores

Aim55
Positioning54
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY41536Last 10041%Win rateLLWWLLLWWW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Aim5.5
Aggression6.3
Utility3.7
Positioning5.4
Opening Duels1.5
Clutch2.0

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 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 47% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Aim5.5
Positioning5.4
Utility3.7
Mechanics4.8
Opening Duels2.1
Win Impact7.2

Composite 4.9/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time585ms+8ms
first ⅓ avg 578ms → last ⅓ avg 585ms
Headshot accuracy22.9%+3.7%
first ⅓ avg 19.2% → last ⅓ avg 22.9%

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.

Highlights

0.16Best rating — inferno 13–3
133Biggest win — nuke
4Longest win streak
L2Current streak
56In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 53% over 15cacheWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB178947%0.03
infernoB168850%0.02
dust2D1551033%-0.01
mirageB158753%-0.00
ancientB115645%0.02
cacheD102820%-0.01
trainD82625%0.03
anubisC73443%-0.01
overpass1010%-0.08

Across the last 100 tracked matches.

Lifetime stats

112,720Lifetime kills
1.04K/D
6,962Matches
48.1%Match win rate · Top 50% of tracked players
46.7%Headshot % · Top 50% of tracked players
5.9%Shot accuracy
15,343MVPs
2,526Hours (in match)
7,352Bombs planted
1,191Bombs defused

Most-used weapons

AK-4730,574
AWP12,306
FAMAS3,795
SG 5533,604
MP92,529
MAC-101,898

Lifetime map wins

12,164dust2
11,854inferno
7,540nuke
3,381vertigo
1,870train
334cbble
225office
78aztec

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

Faceit stats

Combat

457Matches
49%Win rate
1.06Avg K/D
81.6ADR
50%Headshot %

Clutches & streaks

30%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage12851%1.1015.8
Dust210439%1.0215.3
Inferno6256%1.0716.4
Ancient5553%1.0615.9
Nuke5054%1.0917.1
Anubis2348%1.1618.0
Cache2045%0.9813.7
Overpass933%0.7712.3

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.

22.6%Headshot accuracy
28.7%Accuracy (enemy spotted)
28.8%Spray accuracy
71.5%Counter-strafing
9.5°Preaim
587msReaction time
25.2%T opening success
47.1%CT opening success
0.57Enemies flashed / flash
6.5%Flash assists
7.69HE damage / grenade
3.32Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3219 — below the 4 mark we flag

    Grenade Lineups
  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 25.2333% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis11–130.0138%24 Aug
cache10–130.0115%23 Aug
inferno13–50.0131%22 Aug
ancient13–7-0.0327%22 Aug
dust25–13-0.0124%21 Aug
dust211–130.0123%20 Aug
dust29–13-0.0015%20 Aug
ancient13–6-0.0222%20 Aug
mirage13–9-0.0030%20 Aug
dust213–110.0432%20 Aug
mirage13–110.0121%20 Aug
inferno4–13-0.0521%18 Aug
ancient13–100.0817%18 Aug
dust213–110.0312%18 Aug
mirage13–70.0231%17 Aug
nuke11–13-0.0224%17 Aug
cache9–13-0.0430%17 Aug
cache4–13-0.0314%16 Aug
ancient9–13-0.0018%16 Aug
mirage13–11-0.0114%16 Aug
dust27–130.0010%13 Aug
dust24–130.0122%12 Aug
mirage13–8-0.0026%9 Aug
nuke16–13-0.0127%9 Aug
dust213–70.0122%8 Aug
nuke13–90.0826%8 Aug
dust210–13-0.0221%8 Aug
mirage13–50.0719%7 Aug
anubis13–10-0.0224%4 Aug
cache13–80.0019%29 Jul
cache12–160.0020%28 Jul
dust27–13-0.0234%28 Jul
anubis13–9-0.0123%28 Jul
inferno16–140.0323%25 Jul
mirage13–90.0017%22 Jul
mirage8–130.0123%20 Jul
mirage11–130.0222%20 Jul
anubis4–13-0.0720%19 Jul
cache16–130.0312%15 Jul
ancient6–130.0727%13 Jul
nuke16–120.0319%13 Jul
mirage5–13-0.0116%13 Jul
ancient9–130.0214%10 Jul
mirage13–9-0.0216%9 Jul
cache2–10-0.0211%7 Jul
inferno13–10-0.0021%5 Jul
nuke13–80.1232%4 Jul
anubis13–80.0422%28 Jun
inferno10–130.0029%27 Jun
nuke10–13-0.0113%24 Jun
dust20–13-0.0214%22 Jun
dust26–0-0.1433%22 Jun
dust213–70.0324%17 Jun
overpass3–13-0.0818%10 Jun
cache5–130.0420%10 Jun
nuke10–130.0527%10 Jun
cache7–130.000%8 Jun
inferno13–70.0331%7 Jun
ancient13–60.0428%7 Jun
inferno12–12-0.0113%7 Jun
anubis10–13-0.0119%7 Jun
train9–130.0922%7 Jun
ancient7–130.0515%6 Jun
nuke13–30.0917%6 Jun
inferno13–100.0925%6 Jun
ancient13–80.0725%5 Jun
dust27–13-0.0420%4 Jun
mirage1–13-0.0617%4 Jun
mirage10–13-0.0014%1 Jun
inferno8–130.1218%31 May
train2–13-0.019%30 May
nuke8–13-0.0238%28 May
ancient6–13-0.0215%28 May
inferno1–7-0.010%26 May
inferno0–13-0.1133%26 May
train9–13-0.0125%26 May
nuke12–120.0017%26 May
nuke12–12-0.0114%25 May
nuke13–60.0222%25 May
inferno5–130.0125%24 May
anubis4–13-0.0127%23 May
inferno13–70.0823%23 May
dust27–13-0.0627%23 May
cache6–13-0.0721%23 May
inferno13–100.0623%23 May
train1–6-0.100%23 May
nuke8–13-0.0311%22 May
nuke12–12-0.0116%21 May
inferno1–8-0.0818%21 May
nuke13–90.0720%21 May
ancient5–130.0115%20 May
mirage12–12-0.0624%20 May
train13–40.0123%20 May
train13–40.1017%20 May
mirage11–13-0.0311%20 May
nuke13–30.1326%20 May
inferno13–30.1624%20 May
nuke12–120.0719%18 May
train4–60.1317%18 May
train7–130.0425%18 May

Match data via Leetify.

Recent teammates

Milestones

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