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Yaya — CS2 Stats

76561198061294034[U:1:101028306]

323Tracked matches37%Win rate2023Tracked since
CSDB Rating3.9 Learning
Premier CS Rating6,927Light Blue band · top ~69.6% of ranked players (population est.)
CSDB Leaderboard#19971 of 26353 tracked
FaceitLevel 4 · 953 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGYayaFACEITLevel 4 · 953 ELOSTANDINGTop 81.0% of rankedPREMIER6,927 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim43
Positioning51
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY41–54–5Last 10041%Win rateLWWWWLLLLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim4.3
Aggression6.4
Utility4.1
Positioning5.1
Opening Duels2.4
Clutch2.6

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

Twistzz

Plays most like Twistzz 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 711ms 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

Aim4.3
Positioning5.1
Utility4.1
Mechanics7.2
Opening Duels2.4
Win Impact0.6

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time707ms+45ms
first ⅓ avg 662ms → last ⅓ avg 707ms
Headshot accuracy16.0%+3.7%
first ⅓ avg 12.3% → last ⅓ avg 16.0%

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

0.15Best rating — mirage 13–2
13–0Biggest win — dust2
4Longest win streak
5–13In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 50% over 8infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageC2812–1643%-0.02
nukeC208–1240%-0.03
dust2B157–847%-0.01
infernoD143–1121%-0.03
ancientD92–722%0.00
anubisB84–450%-0.01
overpass—32–167%-0.02
cache—22–0100%-0.01
train—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches
42%Win rate
0.83Avg K/D
70.2ADR
33%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.8313.8
Inferno333%0.8715.0
Dust2333%0.799.7
Nuke1100%1.2018.0
Ancient10%0.447.0

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.

17.0%Headshot accuracy
31.4%Accuracy (enemy spotted)
26.4%Spray accuracy
82.5%Counter-strafing
10.4°Preaim
711msReaction time
37.5%T opening success
41.6%CT opening success
0.60Enemies flashed / flash
5.6%Flash assists
10.59HE damage / grenade
3.70Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 710.7865ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 3.703 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 37.5469% — below the 40% mark we flag

Spend your practice time on Inferno

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–160.0136%16 Aug →
anubis13–80.0311%15 Aug →
mirage16–120.0314%14 Aug →
dust213–00.0621%14 Aug →
mirage13–70.0417%9 Aug →
inferno7–13-0.0416%8 Aug →
dust27–13-0.0220%8 Aug →
mirage3–13-0.095%7 Aug →
nuke9–13-0.0414%5 Aug →
ancient11–130.0113%4 Aug →
inferno6–13-0.0411%2 Aug →
anubis9–130.0611%2 Aug →
dust214–16-0.0320%31 Jul →
ancient13–110.0116%30 Jul →
mirage0–13-0.0410%30 Jul →
anubis11–13-0.017%28 Jul →
dust211–13-0.0124%28 Jul →
nuke3–13-0.078%26 Jul →
cache13–10-0.0326%25 Jul →
dust29–13-0.019%23 Jul →
mirage9–13-0.0119%15 Jul →
cache8–10.0118%15 Jul →
dust210–13-0.0817%15 Jul →
nuke13–40.1120%13 Jul →
dust213–5-0.0317%13 Jul →
mirage7–13-0.0613%20 Jun →
inferno13–11-0.0224%20 Jun →
nuke11–13-0.0530%6 Jun →
mirage3–13-0.085%6 Jun →
inferno13–7-0.0122%30 May →
dust213–90.049%23 May →
ancient9–13-0.0512%23 May →
inferno7–13-0.0415%20 May →
nuke9–13-0.0510%13 May →
inferno7–13-0.0423%7 May →
nuke15–15-0.0520%2 May →
mirage13–9-0.0216%2 May →
nuke15–15-0.0216%29 Apr →
train13–8-0.0218%26 Apr →
nuke13–60.0226%25 Apr →
mirage8–130.0231%21 Apr →
mirage8–13-0.0016%21 Apr →
mirage13–90.028%17 Apr →
nuke13–9-0.0816%12 Apr →
nuke13–10-0.0526%11 Apr →
mirage13–9-0.019%11 Apr →
mirage7–13-0.0310%4 Apr →
dust215–150.027%4 Apr →
mirage13–9-0.018%4 Apr →
anubis13–6-0.074%3 Apr →
mirage6–13-0.0611%3 Apr →
inferno5–13-0.0510%3 Apr →
mirage10–130.0015%1 Apr →
overpass11–13-0.0315%27 Mar →
inferno13–80.0326%26 Mar →
overpass13–3-0.0126%24 Mar →
ancient8–13-0.0415%19 Mar →
mirage13–5-0.046%19 Mar →
ancient2–13-0.0312%15 Mar →
nuke13–9-0.083%15 Mar →
inferno8–13-0.045%15 Mar →
anubis13–50.0625%15 Mar →
nuke13–5-0.0611%14 Mar →
anubis13–8-0.076%10 Mar →
ancient11–130.017%7 Mar →
inferno11–13-0.0813%7 Mar →
inferno11–13-0.0522%7 Mar →
dust216–140.0313%7 Mar →
anubis14–160.0114%7 Mar →
inferno10–13-0.076%6 Mar →
dust213–11-0.0113%6 Mar →
dust210–13-0.0412%26 Feb →
dust213–110.0018%26 Feb →
nuke6–13-0.065%23 Feb →
nuke14–16-0.0111%23 Feb →
anubis9–13-0.0810%21 Feb →
mirage13–90.0215%21 Feb →
nuke10–13-0.0114%21 Feb →
dust213–80.0618%21 Feb →
mirage7–13-0.036%21 Feb →
mirage14–16-0.0415%20 Feb →
nuke8–13-0.0415%20 Feb →
ancient9–130.0314%20 Feb →
mirage3–13-0.109%19 Feb →
dust29–13-0.0810%19 Feb →
mirage16–120.0125%18 Feb →
nuke6–13-0.038%18 Feb →
mirage13–5-0.0612%18 Feb →
mirage15–15-0.0211%17 Feb →
mirage15–15-0.0011%17 Feb →
overpass13–10-0.0214%14 Feb →
nuke13–5-0.0312%14 Feb →
ancient16–130.058%14 Feb →
mirage13–20.158%14 Feb →
mirage9–13-0.0516%13 Feb →
inferno5–130.0612%13 Feb →
nuke11–13-0.015%13 Feb →
ancient10–130.0413%13 Feb →
nuke13–90.0318%11 Feb →
mirage13–6-0.0315%11 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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