ayaya

ayaya — CS2 Stats

76561198298655791[U:1:338390063]Steam profile ↗

4,113Tracked matches60%Win rate2020Tracked since
CSDB Rating5.9 SolidPassive Rifler
Premier CS Rating19,587Purple band · top ~10.1% of ranked players (population est.)
CSDB Leaderboard#7033 of 14704 tracked
FaceitLevel 9 · 2,139 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGayayaFACEITLevel 9 · 2,139 ELOSTANDINGTop 20.7% of rankedPREMIER19,587 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning37
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52444Last 10052%Win rateLWLWWWLWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

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

Aim8.3
Aggression2.8
Utility4.8
Positioning3.7
Opening Duels0.0
Clutch3.6

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: aim profile, utility contribution.

Where you differ: lower opening-fight frequency; 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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 46 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.

Reaction time. 553ms 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

Aim8.3
Positioning3.7
Utility4.8
Mechanics7.2
Opening Duels0.0
Win Impact8.3

Composite 5.9/10 (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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time566ms−2ms
first ⅓ avg 568ms → last ⅓ avg 566ms
Headshot accuracy17.9%−2.4%
first ⅓ avg 20.3% → last ⅓ avg 17.9%

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

0.11Best rating — ancient 13–8
132Biggest win — dust2
9Longest win streak
1216In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 83% over 6ancientWeakest map · 43% over 23
MapGradePlayedRecordWin rateAvg rating
ancientC23101343%0.00
infernoB178947%0.01
dust2B178947%-0.00
overpassB147750%-0.00
anubisA116555%0.00
nukeS65183%-0.02
train41325%-0.03
mirage330100%-0.01
cache220100%0.00
vertigo21150%-0.00
fachwerk110100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,210Matches
51%Win rate
1.01Avg K/D
74.2ADR
36%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient67253%1.0015.1
Anubis41252%0.9514.7
Inferno36854%1.0515.2
Dust235044%0.9214.5
Vertigo18847%0.9815.4
Overpass17156%1.0615.3
Mirage12547%0.7912.4
Train7141%0.8714.3

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.

16.5%Headshot accuracy
41.3%Accuracy (enemy spotted)
46.7%Spray accuracy
82.3%Counter-strafing
10.9°Preaim
553msReaction time
28.0%T opening success
26.4%CT opening success
0.43Enemies flashed / flash
7.2%Flash assists
10.44HE damage / grenade
7.36Flashes / 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 0.4346 — below the 0.5 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 28.026% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno29–31-0.0110%22 Aug
inferno13–110.0714%22 Aug
inferno11–13-0.0124%16 Aug
cache13–60.0518%16 Aug
fachwerk13–5-0.0425%17 Jul
cache13–6-0.0420%17 Jul
dust210–130.0310%30 Jun
dust213–80.0122%25 Jun
anubis7–13-0.044%8 May
dust213–20.0413%8 May
nuke13–40.0130%8 May
overpass2–11-0.0022%8 May
overpass13–3-0.0615%24 Apr
nuke16–14-0.0119%24 Apr
dust213–10-0.0226%22 Apr
ancient4–90.0421%10 Apr
anubis9–13-0.0714%10 Apr
ancient13–40.0817%10 Apr
anubis6–13-0.067%9 Apr
inferno11–130.0421%8 Apr
anubis13–110.0719%6 Apr
anubis13–10-0.0014%6 Apr
anubis13–8-0.0113%3 Apr
ancient13–160.0611%3 Apr
ancient14–16-0.0513%1 Apr
dust213–110.0616%1 Apr
dust217–19-0.039%1 Apr
inferno13–11-0.0317%30 Mar
dust213–30.0616%30 Mar
nuke13–60.0139%27 Mar
anubis16–140.0138%27 Mar
nuke13–11-0.0310%26 Mar
inferno13–70.0525%23 Mar
overpass13–110.0413%17 Mar
mirage13–40.0211%16 Mar
overpass13–40.0524%16 Mar
anubis9–13-0.0024%16 Mar
ancient14–16-0.0210%15 Mar
ancient13–60.029%15 Mar
overpass11–13-0.0211%14 Mar
nuke13–40.0115%14 Mar
dust29–13-0.0111%13 Mar
overpass5–11-0.1117%12 Mar
dust216–190.0218%7 Mar
ancient11–13-0.0215%25 Feb
overpass9–13-0.0320%24 Feb
train4–13-0.099%1 Feb
anubis11–130.0213%1 Feb
inferno13–90.0619%1 Feb
dust27–13-0.0019%1 Feb
overpass13–80.0217%1 Feb
ancient5–13-0.0616%1 Feb
vertigo13–10-0.0415%1 Feb
ancient8–13-0.0124%30 Jan
overpass13–8-0.0118%24 Jan
anubis13–70.0514%22 Jan
overpass19–160.0113%2 Jan
overpass8–130.0310%30 Dec
dust24–13-0.0538%30 Dec
inferno7–130.0611%30 Dec
ancient16–130.0115%15 Dec
overpass3–130.0114%9 Dec
ancient13–110.0322%9 Dec
dust210–13-0.0816%8 Dec
train15–150.0140%3 Dec
vertigo8–80.0312%30 Nov
inferno9–70.0724%30 Nov
mirage13–8-0.0625%28 Nov
ancient13–80.1129%23 Nov
ancient16–130.0324%16 Nov
ancient7–130.0115%16 Nov
dust211–13-0.0327%11 Nov
train13–100.007%10 Nov
mirage13–6-0.0014%10 Nov
dust21–13-0.0714%9 Nov
ancient15–15-0.0227%9 Nov
dust213–10-0.0112%9 Nov
anubis13–100.0417%8 Nov
inferno11–13-0.0321%8 Nov
inferno13–10-0.0350%7 Nov
inferno8–80.0617%28 Oct
inferno6–9-0.0710%28 Oct
nuke7–9-0.0935%26 Oct
train13–16-0.0317%25 Oct
overpass9–40.0811%24 Oct
ancient13–7-0.0413%20 Oct
dust213–30.0619%17 Oct
inferno13–11-0.0626%15 Oct
dust213–10-0.0336%14 Oct
inferno10–13-0.0514%14 Oct
ancient13–30.0637%14 Oct
ancient14–16-0.0315%21 Sept
inferno13–9-0.0215%21 Sept
inferno11–130.0221%12 Sept
ancient6–13-0.0222%8 Sept
ancient13–40.0214%7 Sept
ancient13–11-0.0518%6 Sept
ancient6–13-0.077%6 Sept
overpass14–16-0.0518%4 Sept
ancient11–13-0.0423%1 Sept

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →