yliksenkayo

yliksenkayo — CS2 Stats

76561199231599074[U:1:1271333346]Steam profile ↗✓ No bans

3,405Tracked matches62%Win rate2022Tracked since
CSDB Rating6.8 SolidSupport
Premier CS Rating18,577Purple band · top ~14.2% of ranked players (population est.)
FaceitLevel 8 · 1,704 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 18,577 +875 17 Aug – 4 Nov · 29 days played
15,84518,696peak 18,69617 Aug4 Nov
Faceit ELO: 1,704 +0 30 Aug – 31 Aug · 2 observations
1,7041,704peak 1,70430 Aug31 Aug
18,696Peak Premier in tracked matches
1,704Highest Faceit ELO seen on CSDB
42Days played since 2026-08-17

Faceit ELO

  • At peak — 1,704
  • Next: Level 9 at 1,751 — 47 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-30
  • Level 7 first seen 2026-08-30

Premier CS Rating

  • 119 below peak (18,696)
  • +569 over 30 days · improving
  • +875 over 90 days
  • Next: Pink band at 20,000 — 1,423 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGyliksenkayoFACEITLevel 8 · 1,704 ELOSTANDINGTop 31.2% of rankedPREMIER18,577 · Purple bandPEAK ELO1,704csdb.gg/stats

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Performance scores

Aim82
Positioning58
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLWWLWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +3.8pp headshot accuracy · +95ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 525ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 591ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 544ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim8.2
Utility6.9
Positioning5.8
Opening Duels3.5
Clutch3.2

Effective flashes

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

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim8.2
Positioning5.8
Utility6.9
Mechanics6.2
Opening Duels3.4
Win Impact9.0

Composite 6.8/10 (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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time539ms−34ms
first ⅓ avg 573ms → last ⅓ avg 539ms
Headshot accuracy17.2%+1.4%
first ⅓ avg 15.8% → last ⅓ avg 17.2%

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.

Personal bests

0.10Best match rating · 13–9 · nuke, 10 Sept →
50%Best headshot accuracy · 0–3 · train, 3 Sept →
344msFastest reaction time · 5–13 · dust2, 31 Aug →
13–1Biggest win · train, 31 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 73% over 11infernoWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B1910–953%-0.01
mirageB178–947%-0.02
nukeC177–1041%-0.01
infernoD142–1214%-0.04
anubisC135–838%-0.02
ancientS118–373%-0.01
trainC52–340%0.02
cache—42–250%-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,045Matches
51%Win rate
0.94Avg K/D
73.1ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis21145%1.0114.3
Dust218454%0.8712.3
Mirage16749%0.9714.3
Nuke14554%0.9113.2
Inferno13045%0.8712.6
Ancient11350%0.9714.1
Train3471%0.9113.3
Vertigo3161%1.2216.0

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.

17.6%Headshot accuracy
38.9%Accuracy (enemy spotted)
38.3%Spray accuracy
78.0%Counter-strafing
8.0°Preaim
550msReaction time
39.4%T opening success
48.2%CT opening success
0.74Enemies flashed / flash
7.9%Flash assists
12.30HE damage / grenade
9.85Flashes / 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. 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 39.3566% — 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.

14% 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
dust210–130.0133%4 Nov →
anubis13–50.0217%3 Nov →
ancient13–40.0517%3 Nov →
inferno6–9-0.0218%1 Nov →
mirage13–70.0119%17 Oct →
ancient13–3-0.0010%17 Oct →
dust213–9-0.0518%17 Oct →
mirage13–10-0.0223%17 Oct →
mirage3–13-0.0632%16 Oct →
anubis6–13-0.0815%15 Oct →
train10–130.0522%14 Oct →
train8–130.0120%14 Oct →
ancient1–13-0.100%13 Oct →
anubis2–5-0.1033%12 Oct →
ancient7–13-0.0719%12 Oct →
anubis13–70.0415%11 Oct →
nuke13–40.0212%11 Oct →
dust213–90.0118%10 Oct →
nuke14–16-0.1014%10 Oct →
mirage13–8-0.0612%10 Oct →
cache9–13-0.0414%10 Oct →
inferno15–15-0.0216%7 Oct →
cache13–10-0.0222%7 Oct →
ancient13–8-0.0113%1 Oct →
inferno13–9-0.0718%30 Sept →
mirage13–11-0.0324%30 Sept →
dust213–90.0317%30 Sept →
inferno4–9-0.129%30 Sept →
dust213–60.0020%30 Sept →
nuke6–130.0613%30 Sept →
inferno13–30.042%29 Sept →
nuke13–6-0.0119%29 Sept →
mirage11–130.0113%29 Sept →
inferno15–150.0421%29 Sept →
nuke9–130.0215%29 Sept →
anubis9–13-0.0317%28 Sept →
inferno7–130.0018%28 Sept →
mirage8–130.0721%27 Sept →
ancient16–130.079%27 Sept →
nuke8–13-0.0713%26 Sept →
anubis11–130.0625%26 Sept →
anubis10–13-0.0014%26 Sept →
train13–80.0121%26 Sept →
cache11–130.0317%25 Sept →
nuke14–160.0224%25 Sept →
anubis7–13-0.0215%25 Sept →
ancient9–40.0312%25 Sept →
nuke10–13-0.0019%24 Sept →
inferno15–150.0015%24 Sept →
ancient10–13-0.049%24 Sept →
mirage16–12-0.0711%24 Sept →
anubis13–80.0616%24 Sept →
dust213–110.0320%18 Sept →
mirage4–13-0.0126%18 Sept →
nuke7–13-0.0519%18 Sept →
dust213–5-0.044%18 Sept →
mirage13–9-0.0318%13 Sept →
anubis9–13-0.0311%12 Sept →
mirage5–130.039%11 Sept →
dust213–80.0415%11 Sept →
mirage13–3-0.0511%11 Sept →
dust25–13-0.0518%11 Sept →
nuke13–90.1017%10 Sept →
nuke13–50.0322%9 Sept →
dust24–13-0.0729%8 Sept →
ancient16–12-0.0115%7 Sept →
dust22–100.0613%6 Sept →
dust28–130.0510%6 Sept →
nuke13–16-0.055%5 Sept →
mirage8–13-0.0318%5 Sept →
nuke13–100.0111%4 Sept →
dust213–9-0.0915%4 Sept →
ancient13–110.0111%3 Sept →
train0–3-0.0350%3 Sept →
nuke9–7-0.0311%3 Sept →
inferno8–13-0.069%3 Sept →
dust25–13-0.0328%31 Aug →
dust20–3-0.110%31 Aug →
train13–10.0420%31 Aug →
cache13–4-0.0514%31 Aug →
inferno6–9-0.0530%31 Aug →
mirage15–15-0.0216%29 Aug →
inferno6–9-0.1210%29 Aug →
nuke10–13-0.0526%27 Aug →
anubis6–13-0.0912%26 Aug →
nuke13–70.057%26 Aug →
dust211–13-0.0612%26 Aug →
mirage11–13-0.0615%26 Aug →
ancient13–6-0.036%25 Aug →
inferno6–13-0.0115%24 Aug →
inferno4–13-0.0613%24 Aug →
anubis13–100.0013%24 Aug →
anubis13–11-0.0311%24 Aug →
inferno8–8-0.0426%24 Aug →
nuke4–13-0.0515%22 Aug →
dust213–110.0120%21 Aug →
dust29–13-0.0121%18 Aug →
mirage6–130.0117%17 Aug →
dust29–30.0318%17 Aug →
mirage16–130.0018%17 Aug →

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 →

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