Vihliqqoat

Vihliqqoat — CS2 Stats

FI76561199025738228[U:1:1065472500]Steam profile ↗✓ No bans

2,329Tracked matches52%Win rate2020Tracked since
4,201Hours in CS5Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating21,739Top 50% of 204,219 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#57261 of 251281 tracked
FaceitLevel 10 · 2,135 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (10 days ago). 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: 21,739 -1,606 24 May – 2 Oct · 21 days played
21,54525,809peak 25,80924 May2 Oct
25,921Peak Premier in tracked matches
2,135Highest Faceit ELO seen on CSDB
38Days played since 2026-05-23

Faceit ELO

  • At peak — 2,135
  • Next: 2,500 ELO at 2,500 — 365 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 4,070 below peak (25,809)
  • -3,261 over 90 days
  • Next: Red band at 25,000 — 3,261 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate43.3%50.9%
Shot accuracy11.4%13.7%
Kill/death ratio0.871.09
Match win rate37.4%48.4%

Share this profile

CSDB.GGVihliqqoatFACEITLevel 10 · 2,135 ELOSTANDINGTop 12.4% of rankedPREMIER21,739 · Pink bandPEAK ELO2,135csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81
Positioning53
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY55–40–5Last 10055%Win rateLLWTWWWLLL

Last 10 vs previous 10: −50pp win rate · +0.02 avg rating · −1.7pp headshot accuracy · −55ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 455ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 552ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 580ms

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 (+1.6 against its own average).

Aim8.1
Utility5.8
Positioning5.3
Opening Duels1.3
Clutch4.2

Strong CT-side opener

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 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 576ms 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

Aim8.1
Positioning5.3
Utility5.8
Mechanics7.8
Opening Duels1.6
Win Impact5.6

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time585ms−31ms
first ⅓ avg 616ms → last ⅓ avg 585ms
Headshot accuracy18.4%−1.8%
first ⅓ avg 20.2% → last ⅓ avg 18.4%

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

0.25Best match rating · 9–2 · inferno, 1 Jun →
50%Best headshot accuracy · 1–5 · inferno, 19 Sept →
297msFastest reaction time · 1–5 · inferno, 19 Sept →
13–0Biggest win · nuke, 25 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
12–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 67% over 9nukeWeakest map · 47% over 19
MapGradePlayedRecordWin rateAvg rating
infernoB3618–1850%0.05
ancientA2515–1060%0.03
nukeB199–1047%0.03
dust2S96–367%0.04
mirage—32–167%0.02
anubis—32–167%-0.01
overpass—21–150%0.01
vertigo—22–0100%0.01
cache—10–10%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,463Lifetime kills
0.87K/D
7,531Matches
37.4%Match win rate
43.3%Headshot %
11.4%Shot accuracy
14,117MVPs
2,384Hours (in match)
8,877Bombs planted
2,698Bombs defused

Most-used weapons

AK-4735,842
AWP17,403
Knife2,078
SSG 081,999
FAMAS1,908

Lifetime map wins

16,530inferno
5,673vertigo
5,238nuke
2,997train
2,657dust2
1,248lake
124cbble
109safehouse

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

Faceit stats

Combat

468Matches
55%Win rate
1.29Avg K/D
80.4ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
27%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient13158%1.3016.9
Inferno10561%1.3016.8
Nuke7247%1.2218.0
Anubis2654%1.1516.5
Mirage2152%1.0114.3
Train2157%0.9913.2
Dust21429%1.1617.1
Overpass1323%1.1317.5

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
36.4%Accuracy (enemy spotted)
38.8%Spray accuracy
85.0%Counter-strafing
8.1°Preaim
576msReaction time
29.5%T opening success
43.0%CT opening success
0.59Enemies flashed / flash
12.3%Flash assists
9.36HE damage / grenade
5.27Flashes / 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 29.5186% — below the 40% mark we flag

Spend your practice time on Nuke

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

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.058%2 Oct →
inferno1–5-0.0650%19 Sept →
mirage16–130.0215%18 Sept →
inferno15–150.0914%18 Sept →
anubis13–11-0.0122%12 Sept →
ancient13–40.0912%12 Sept →
inferno13–10.1115%12 Sept →
inferno10–130.037%11 Sept →
nuke12–160.0423%11 Sept →
mirage3–13-0.1014%6 Sept →
nuke13–3-0.044%5 Sept →
nuke13–7-0.0111%5 Sept →
ancient13–9-0.0813%30 Aug →
dust213–110.0421%30 Aug →
ancient13–70.0721%29 Aug →
ancient13–110.0318%29 Aug →
dust211–13-0.0421%16 Aug →
dust216–140.0119%15 Aug →
dust213–50.0522%15 Aug →
dust213–6-0.0047%9 Aug →
nuke6–13-0.0123%9 Aug →
inferno6–9-0.0313%31 Jul →
inferno13–160.0320%19 Jul →
anubis11–13-0.0321%18 Jul →
inferno9–70.0224%4 Jul →
dust24–130.0421%3 Jul →
inferno11–13-0.0116%3 Jul →
inferno3–130.0319%30 Jun →
ancient0–13-0.030%30 Jun →
ancient6–130.0314%23 Jun →
inferno13–7-0.0317%19 Jun →
nuke13–60.1215%18 Jun →
ancient14–160.0428%18 Jun →
nuke13–6-0.0010%18 Jun →
inferno13–10-0.0218%18 Jun →
overpass13–50.0214%18 Jun →
ancient6–130.0422%18 Jun →
inferno13–90.1126%17 Jun →
nuke13–40.0421%16 Jun →
nuke3–130.0221%16 Jun →
nuke6–130.0313%16 Jun →
nuke5–13-0.0335%16 Jun →
inferno7–130.1225%16 Jun →
inferno13–50.1121%16 Jun →
mirage13–50.1315%14 Jun →
ancient13–110.0115%14 Jun →
inferno15–150.0226%10 Jun →
ancient13–80.0426%10 Jun →
ancient3–130.0226%10 Jun →
nuke11–130.0416%10 Jun →
inferno11–13-0.0515%10 Jun →
cache7–130.0815%10 Jun →
inferno9–70.0620%10 Jun →
dust213–60.2438%10 Jun →
ancient13–80.0919%10 Jun →
inferno12–120.0114%9 Jun →
inferno9–30.1336%9 Jun →
inferno9–6-0.0427%9 Jun →
inferno9–10.1923%9 Jun →
inferno9–70.0738%9 Jun →
ancient13–70.0230%9 Jun →
ancient8–13-0.0418%9 Jun →
nuke7–13-0.0217%4 Jun →
overpass6–30.0122%4 Jun →
vertigo13–4-0.020%3 Jun →
vertigo13–90.0422%3 Jun →
nuke10–130.1423%2 Jun →
inferno9–20.2526%1 Jun →
inferno8–80.0220%1 Jun →
ancient8–130.0111%31 May →
ancient13–110.0422%31 May →
ancient4–13-0.079%31 May →
nuke10–130.0428%29 May →
inferno10–130.0316%28 May →
nuke13–110.0525%28 May →
inferno13–50.0620%28 May →
inferno13–80.0430%28 May →
ancient13–9-0.0515%27 May →
nuke13–80.0319%27 May →
inferno9–60.0532%27 May →
inferno13–11-0.0210%27 May →
ancient13–60.0820%26 May →
inferno10–130.0721%26 May →
inferno13–100.0415%26 May →
nuke8–130.0316%26 May →
nuke13–40.0727%26 May →
nuke13–00.0424%25 May →
ancient13–60.0116%25 May →
inferno8–130.0018%24 May →
ancient13–60.0516%24 May →
anubis13–8-0.007%24 May →
ancient11–130.0415%24 May →
ancient13–110.1331%24 May →
dust213–100.0315%24 May →
ancient13–20.1237%24 May →
ancient8–130.0613%24 May →
inferno6–13-0.0325%24 May →
inferno9–50.1832%23 May →
inferno7–90.0113%23 May →
inferno8–80.1823%23 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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