VILQYSTÖÖ

VILQYSTÖÖ — CS2 Stats

76561198115307003[U:1:155041275]Steam profile ↗✓ No bans

3,091Tracked matches54%Win rate2020Tracked since
CSDB Rating4.2 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 3,091 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,740 -1,080 28 Sept – 25 Jun · 23 days played
18,03322,104peak 22,10428 Sept25 Jun
Faceit ELO: 1,943 +0 29 Aug – 20 Sept · 7 observations
1,9431,943peak 1,94329 Aug20 Sept
22,104Peak Premier in tracked matches
1,943Highest Faceit ELO seen on CSDB
44Days played since 2025-09-28

Faceit ELO

  • At peak — 1,943
  • Next: Level 10 at 2,001 — 58 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-29
  • Level 8 first seen 2026-08-29

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.

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CSDB.GGVILQYSTÖÖPEAK ELO1,943csdb.gg/stats

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Performance scores

Aim50
Positioning33
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY42–52–6Last 10042%Win rateLLWWWWLLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −1.8pp headshot accuracy · −11ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 531ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 584ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 590ms

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 (+2.8 against its own average).

Aim5.0
Utility6.2
Positioning3.3
Opening Duels0.5
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.

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

Twistzz

Plays most like Twistzz 79% 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

Reaction time. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0
Positioning3.3
Utility6.2
Mechanics4.4
Opening Duels0.1
Win Impact6.2

Composite 4.2/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time595ms−19ms
first ⅓ avg 614ms → last ⅓ avg 595ms
Headshot accuracy17.2%−5.4%
first ⅓ avg 22.6% → 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

0.08Best match rating · 13–6 · anubis, 5 Apr →
60%Best headshot accuracy · 0–13 · inferno, 28 Mar →
352msFastest reaction time · 7–13 · mirage, 18 Apr →
13–1Biggest win · cache, 30 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
3–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 64% over 11overpassWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
nukeC2310–1343%-0.02
infernoB2311–1248%-0.02
anubisA117–464%-0.02
overpassD101–910%-0.05
ancientA85–363%-0.02
mirageC83–538%-0.03
cacheB63–350%-0.03
dust2D61–517%-0.05
train—41–325%-0.05
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,745Matches
51%Win rate
0.94Avg K/D
69.2ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke21165%0.9914.3
Ancient17248%0.9214.5
Inferno11246%0.8313.0
Mirage10341%0.8113.4
Anubis10342%0.8413.4
Dust25737%0.7712.5
Overpass3754%0.9113.8
Vertigo3060%1.0516.6

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.

18.1%Headshot accuracy
32.3%Accuracy (enemy spotted)
34.6%Spray accuracy
69.7%Counter-strafing
11.9°Preaim
590msReaction time
18.4%T opening success
30.8%CT opening success
0.50Enemies flashed / flash
8.8%Flash assists
11.22HE damage / grenade
13.73Flashes / 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 0.4954 — 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 18.3649% — below the 40% mark we flag

Spend your practice time on Overpass

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

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

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.040%12 Sept →
cache5–13-0.098%12 Sept →
ancient13–6-0.0410%11 Sept →
anubis13–11-0.0413%11 Sept →
inferno13–11-0.0621%11 Sept →
nuke13–100.0218%10 Sept →
inferno8–130.0714%7 Aug →
nuke13–16-0.0225%7 Aug →
nuke13–4-0.0518%29 Jun →
nuke13–90.0216%25 Jun →
inferno6–13-0.0417%25 Jun →
inferno13–20.0311%9 Jun →
mirage13–6-0.0712%21 May →
vertigo9–13-0.0317%21 May →
overpass12–12-0.0926%21 May →
cache13–7-0.0213%21 May →
train6–13-0.108%21 May →
cache13–10-0.0220%10 May →
anubis13–10-0.0821%10 May →
cache12–12-0.0516%9 May →
cache11–13-0.0924%9 May →
inferno2–13-0.0141%9 May →
nuke3–9-0.0911%9 May →
mirage13–50.0623%5 May →
cache13–10.0719%30 Apr →
inferno13–1-0.0117%27 Apr →
overpass14–16-0.0620%26 Apr →
inferno11–130.0420%22 Apr →
nuke13–70.0023%22 Apr →
mirage7–13-0.0521%18 Apr →
overpass14–16-0.0426%18 Apr →
inferno7–13-0.0718%18 Apr →
overpass6–13-0.055%18 Apr →
inferno13–7-0.0118%18 Apr →
nuke8–13-0.0331%18 Apr →
anubis13–10-0.0220%16 Apr →
inferno13–90.0323%16 Apr →
overpass1–13-0.1116%13 Apr →
inferno13–9-0.0530%13 Apr →
nuke3–130.0124%9 Apr →
inferno13–7-0.0121%9 Apr →
inferno13–8-0.0714%5 Apr →
nuke10–13-0.0119%5 Apr →
anubis13–60.0824%5 Apr →
nuke4–13-0.039%4 Apr →
nuke9–13-0.0317%4 Apr →
nuke11–13-0.045%4 Apr →
anubis8–13-0.0513%4 Apr →
mirage5–13-0.096%2 Apr →
inferno10–13-0.0713%2 Apr →
dust215–15-0.0127%2 Apr →
anubis13–80.0520%2 Apr →
inferno12–16-0.0417%28 Mar →
nuke13–6-0.0817%28 Mar →
nuke13–60.028%28 Mar →
ancient2–13-0.0510%28 Mar →
nuke13–9-0.0221%28 Mar →
inferno0–13-0.0960%28 Mar →
overpass3–13-0.100%27 Mar →
anubis13–5-0.0230%27 Mar →
ancient9–13-0.0820%27 Mar →
inferno15–15-0.0633%27 Mar →
inferno2–13-0.0918%27 Mar →
nuke6–13-0.0215%27 Mar →
mirage9–13-0.0530%26 Mar →
anubis8–13-0.0430%24 Mar →
inferno5–20.0256%24 Mar →
nuke13–10-0.0120%15 Mar →
inferno10–13-0.0424%15 Mar →
nuke9–40.0725%15 Mar →
dust211–13-0.0412%14 Mar →
inferno13–50.0214%6 Mar →
anubis13–7-0.0321%2 Mar →
mirage13–6-0.0333%21 Feb →
overpass13–7-0.0130%21 Feb →
dust213–2-0.0421%21 Feb →
train13–5-0.0322%21 Feb →
mirage6–13-0.0138%20 Feb →
ancient16–14-0.0227%18 Feb →
anubis7–13-0.0128%18 Feb →
nuke14–16-0.0822%8 Feb →
ancient12–160.0120%8 Feb →
inferno13–70.0615%8 Feb →
anubis5–13-0.0126%7 Feb →
mirage3–13-0.0111%17 Jan →
nuke5–13-0.0227%17 Jan →
ancient13–9-0.0623%15 Jan →
nuke13–7-0.0426%15 Jan →
ancient13–70.0522%15 Jan →
overpass11–130.0321%12 Jan →
dust27–13-0.0837%7 Jan →
inferno5–13-0.0414%2 Jan →
train5–130.0029%2 Jan →
overpass13–16-0.0320%14 Dec →
dust215–15-0.0620%1 Dec →
nuke15–150.0417%30 Nov →
overpass3–13-0.056%28 Sept →
train9–13-0.0727%28 Sept →
dust210–13-0.0618%28 Sept →
ancient13–10.0330%28 Sept →

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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