xqus

xqus — CS2 Stats

NO76561197988761221[U:1:28495493]Steam profile ↗✓ No bans

2,413Tracked matches57%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
Premier CS Rating26,673Top 5% of 210,584 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#8183 of 257639 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (5 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: 26,673 +152 15 Dec – 21 Oct · 6 days played
24,99926,673peak 26,67315 Dec21 Oct
Faceit ELO: 2,416 +0 3 Sept – 23 Sept · 2 observations
2,4162,416peak 2,4163 Sept23 Sept
26,673Peak Premier in tracked matches
2,416Highest Faceit ELO seen on CSDB
47Days played since 2025-12-02

Faceit ELO

  • At peak — 2,416
  • Next: 2,500 ELO at 2,500 — 84 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

Premier CS Rating

  • At peak — 26,673
  • Next: Gold band at 30,000 — 3,327 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. 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.GGxqusPREMIER26,673 · Red bandPEAK ELO2,416csdb.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

Aim69
Positioning52
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateWWWWLLLLLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +0.5pp headshot accuracy · +98ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 30%
  • Avg reaction 686ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 642ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 593ms

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 (+2.3 against its own average).

Aim6.9
Utility6.9
Positioning5.2
Opening Duels2.8
Clutch3.6

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

ZywOo

Plays most like ZywOo 86% 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

T-side openings. Opening success drops from 52% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim6.9
Positioning5.2
Utility6.9
Mechanics5.9
Opening Duels2.8
Win Impact7.2

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time570ms−18ms
first ⅓ avg 588ms → last ⅓ avg 570ms
Headshot accuracy28.3%+2.5%
first ⅓ avg 25.7% → last ⅓ avg 28.3%

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

0.20Best match rating · 13–4 · anubis, 18 May →
56%Best headshot accuracy · 8–4 · rush_001, 20 Oct →
359msFastest reaction time · 13–6 · anubis, 25 May →
13–1Biggest win · cache, 22 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
5–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 100% over 7ancientWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeA2012–860%0.01
anubisS1712–571%0.03
ancientD165–1131%0.01
mirageA148–657%-0.01
cacheS107–370%0.03
dust2C94–544%-0.02
overpassS77–0100%0.03
inferno—42–250%0.01
rush_001—11–0100%0.06
alpine—11–0100%-0.01
train—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,009Matches
55%Win rate
1.15Avg K/D
81.6ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient8650%1.1217.5
Nuke7069%1.1416.2
Anubis5758%1.1816.4
Overpass4068%1.1417.3
Dust22642%0.8914.6
Mirage2544%0.9715.7
Inferno2560%1.2216.4
Cache2152%1.1517.0

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.

28.2%Headshot accuracy
29.9%Accuracy (enemy spotted)
32.0%Spray accuracy
76.4%Counter-strafing
10.4°Preaim
571msReaction time
21.8%T opening success
52.1%CT opening success
0.59Enemies flashed / flash
10.6%Flash assists
9.69HE damage / grenade
12.54Flashes / 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 21.7601% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–4-0.0129%21 Oct →
dust213–11-0.0136%21 Oct →
mirage3–0-0.050%21 Oct →
rush_0018–40.0656%20 Oct →
ancient9–130.0229%5 Aug →
ancient5–13-0.0211%25 Jul →
nuke7–130.0029%24 Jul →
ancient5–13-0.0244%24 Jul →
nuke4–13-0.0720%24 Jul →
anubis13–5-0.0343%24 Jul →
ancient13–8-0.0217%24 Jul →
dust25–130.0419%23 Jul →
cache13–70.0736%23 Jul →
nuke13–60.0026%22 Jul →
anubis13–6-0.0130%22 Jul →
nuke13–20.0744%22 Jul →
cache13–10.0618%22 Jul →
dust26–13-0.0835%22 Jul →
anubis8–130.0236%28 Jun →
ancient5–13-0.0330%28 Jun →
ancient3–13-0.057%15 Jun →
ancient8–130.0134%15 Jun →
ancient11–13-0.0325%14 Jun →
nuke13–8-0.0218%14 Jun →
anubis13–60.0335%14 Jun →
mirage13–5-0.0118%14 Jun →
anubis13–4-0.0120%13 Jun →
overpass13–30.0342%13 Jun →
anubis6–130.0336%12 Jun →
nuke13–100.0228%7 Jun →
anubis13–50.0825%5 Jun →
nuke13–20.0823%4 Jun →
anubis13–90.0934%4 Jun →
cache13–70.0124%4 Jun →
dust213–9-0.0713%3 Jun →
anubis9–130.0327%2 Jun →
nuke13–50.0233%31 May →
overpass13–80.0232%28 May →
anubis8–13-0.0333%27 May →
nuke13–90.0045%25 May →
anubis13–60.0735%25 May →
mirage6–13-0.0441%23 May →
anubis3–13-0.0425%23 May →
overpass13–50.0015%23 May →
anubis13–7-0.0226%23 May →
ancient16–130.1220%23 May →
anubis13–80.0924%23 May →
mirage13–70.0123%22 May →
ancient10–130.0035%22 May →
cache11–130.0528%21 May →
nuke13–8-0.0134%21 May →
anubis13–40.2022%18 May →
ancient17–190.0227%16 May →
anubis13–30.0224%15 May →
nuke13–20.0121%15 May →
overpass13–70.0230%13 May →
nuke9–13-0.0231%12 May →
dust26–13-0.0514%12 May →
ancient13–100.0620%12 May →
cache13–40.0235%10 May →
cache13–7-0.0027%10 May →
nuke13–60.0732%3 May →
alpine13–11-0.0114%29 Apr →
cache13–20.0742%29 Apr →
cache13–70.0335%29 Apr →
cache10–130.0234%29 Apr →
cache3–13-0.0650%29 Apr →
dust210–13-0.0432%24 Apr →
nuke15–150.0132%24 Apr →
overpass13–30.1442%22 Apr →
dust213–7-0.0127%22 Apr →
nuke10–130.0341%2 Mar →
mirage6–13-0.0135%2 Mar →
inferno13–100.0430%18 Feb →
mirage5–13-0.0130%18 Feb →
anubis13–70.0531%18 Feb →
mirage13–90.0756%14 Feb →
inferno1–13-0.108%9 Jan →
mirage1–13-0.0619%6 Jan →
inferno13–90.1228%6 Jan →
dust213–100.0633%6 Jan →
mirage13–50.0638%15 Dec →
overpass13–10-0.0226%12 Dec →
nuke9–13-0.0118%10 Dec →
nuke16–140.0120%10 Dec →
mirage16–14-0.0120%8 Dec →
nuke9–13-0.0313%8 Dec →
train16–19-0.0419%8 Dec →
nuke13–7-0.0246%8 Dec →
inferno5–13-0.0126%6 Dec →
nuke11–13-0.0015%6 Dec →
mirage9–13-0.0220%4 Dec →
mirage7–13-0.0513%4 Dec →
dust210–13-0.0415%4 Dec →
ancient13–90.0721%4 Dec →
ancient10–130.0225%4 Dec →
overpass13–9-0.0116%3 Dec →
ancient11–13-0.0212%3 Dec →
mirage13–11-0.0525%3 Dec →
mirage13–90.0218%2 Dec →

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 →

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