xenonq

xenonq — CS2 Stats

76561197996896531[U:1:36630803]Steam profile ↗✓ No bans

2,350Tracked matches67%Win rate2020Tracked since
10,845Hours in CS36Hrs last 2 wks
CSDB Rating7.3 StrongSupport
FaceitLevel 10Top 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 29 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

+36Tracked matches · now 2,350
−3.3ppWin rate · 70.0% → 66.7%

Rating over time

Faceit ELO: 2,820 +0 6 Sept – 29 Sept · 2 observations
2,8202,820peak 2,8206 Sept29 Sept
2,820Highest Faceit ELO seen on CSDB
68Days played since 2024-04-14

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches52——
Win rate54%——
K/D1.22——
Headshot %39%——

Measured 29 Sep 2026 → 8 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches107——
Win rate49%——
K/D1.11——
Headshot %46%——

Measured 9 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate45.1%50.9%
Shot accuracy18.8%13.7%
Kill/death ratio1.111.09
Match win rate54.8%48.4%

Share this profile

CSDB.GGxenonqFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,820csdb.gg/stats

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Performance scores

Aim91
Positioning62
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateWWLLWLLWWL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · −0.5pp headshot accuracy · −38ms reaction

Win rate down 30pp 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 0.06
  • Avg headshot accuracy 15%
  • Avg reaction 538ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 522ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 541ms

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 (+1.1 against its own average).

Aim9.1
Utility6.2
Positioning6.2
Opening Duels4.5
Clutch3.6

Sharp aimerStrong 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

NiKo

Plays most like NiKo 97% playstyle similarity

Most alike: aim profile, utility contribution.

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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 59% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.1
Positioning6.2
Utility6.2
Mechanics7.1
Opening Duels3.7
Win Impact10.0

Composite 7.3/10 (Strong), 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 rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time545ms−38ms
first ⅓ avg 583ms → last ⅓ avg 545ms
Headshot accuracy18.7%−0.8%
first ⅓ avg 19.5% → last ⅓ avg 18.7%

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

0.16Best match rating · 13–10 · dust2, 4 Oct →
33%Best headshot accuracy · 3–13 · anubis, 9 Sept →
328msFastest reaction time · 10–13 · anubis, 14 Apr →
13–1Biggest win · dust2, 5 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
10–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 71% over 14mirageWeakest map · 43% over 28
MapGradePlayedRecordWin rateAvg rating
mirageC2812–1643%0.02
dust2A149–564%0.02
ancientS1410–471%0.02
nukeA148–657%-0.01
anubisB115–645%0.00
cacheS64–267%0.02
infernoA53–260%-0.01
overpass—42–250%-0.01
train—22–0100%0.07
vertigo—21–150%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

311,216Lifetime kills
1.11K/D · Top 50% of Level 10 players
11,904Matches
54.8%Match win rate · Top 10% of Level 10 players
45.1%Headshot %
18.8%Shot accuracy · Top 10% of Level 10 players
35,183MVPs
6,641Hours (in match)
14,606Bombs planted
3,897Bombs defused

Most-used weapons

AK-47113,372
AWP23,759
P25013,251
Glock-1810,735
Knife7,948
MP96,566
Tec-94,126

Lifetime map wins

15,889inferno
12,704dust2
11,670nuke
11,447train
6,782cbble
1,174vertigo
135aztec
63safehouse

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

Faceit stats

Combat

6,906Matches
57%Win rate
1.21Avg K/D
82.3ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
28Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage53855%1.2316.1
Anubis29850%1.2016.8
Ancient22257%1.2316.6
Nuke21756%1.1917.0
Overpass13150%1.2016.5
Dust212450%1.1216.5
Cache12159%1.3618.7
Inferno11248%1.1215.0

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.

18.8%Headshot accuracy
43.7%Accuracy (enemy spotted)
49.4%Spray accuracy
82.0%Counter-strafing
9.4°Preaim
535msReaction time
27.4%T opening success
59.2%CT opening success
0.67Enemies flashed / flash
14.0%Flash assists
7.68HE damage / grenade
6.28Flashes / 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 27.3939% — below the 40% mark we flag

Spend your practice time on Mirage

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

43% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–30.1414%8 Oct →
dust213–40.0318%6 Oct →
mirage0–6-0.0216%6 Oct →
mirage7–130.116%5 Oct →
mirage13–100.0519%4 Oct →
cache7–130.0014%3 Oct →
vertigo11–13-0.0219%23 Sept →
vertigo13–9-0.0531%23 Sept →
ancient13–70.0322%10 Sept →
mirage8–13-0.0210%10 Sept →
ancient13–90.0214%9 Sept →
nuke13–70.0015%6 Sept →
mirage13–70.0919%5 Sept →
ancient13–10-0.0121%30 Aug →
cache16–140.1016%30 Aug →
mirage13–90.0015%30 Aug →
ancient13–110.0520%21 Aug →
nuke10–130.0018%21 Aug →
mirage11–130.0018%20 Aug →
cache13–7-0.0118%13 Aug →
anubis20–220.0717%9 Aug →
nuke19–160.0425%9 Aug →
ancient13–11-0.0313%9 Aug →
mirage9–130.0431%31 Jul →
anubis16–130.0019%24 Jul →
mirage13–50.0920%21 Jul →
ancient13–110.0122%21 Jul →
nuke16–130.0922%12 Jul →
mirage11–130.0117%11 Jul →
nuke16–120.1126%8 Jul →
cache13–90.0021%8 Jul →
ancient7–130.0123%7 Jul →
dust213–100.0418%5 Jul →
mirage8–130.0015%1 Jul →
dust213–90.0328%1 Jul →
nuke13–50.0022%30 Jun →
cache13–50.0316%28 Jun →
nuke11–13-0.0214%28 Jun →
nuke9–13-0.0519%31 May →
dust23–13-0.0413%30 May →
inferno9–13-0.0329%18 May →
mirage3–13-0.0515%5 May →
dust216–190.0221%5 May →
cache11–130.0113%3 May →
ancient7–13-0.0117%1 May →
dust213–100.0224%1 May →
dust213–110.0120%30 Apr →
ancient13–100.0115%28 Apr →
ancient10–130.0519%21 Apr →
dust215–190.0018%14 Apr →
nuke19–150.0117%13 Apr →
overpass13–30.0515%19 Mar →
mirage12–2-0.0215%18 Mar →
ancient16–140.0512%17 Mar →
anubis13–8-0.0015%17 Mar →
inferno13–8-0.0221%16 Mar →
mirage7–130.0110%12 Mar →
anubis13–100.0221%10 Mar →
mirage16–140.0625%7 Mar →
overpass1–13-0.0910%2 Mar →
mirage13–100.0328%26 Feb →
inferno13–80.0223%6 Oct →
train13–100.0120%5 Oct →
overpass9–13-0.038%25 Sept →
nuke8–13-0.115%23 Jun →
mirage4–13-0.0832%19 Jun →
anubis13–70.0517%18 Jun →
nuke13–11-0.0514%15 Jun →
inferno7–9-0.0626%23 Oct →
overpass9–50.048%22 Oct →
nuke7–9-0.1412%22 Oct →
inferno9–20.0531%22 Oct →
mirage6–13-0.0514%20 Oct →
ancient16–140.1318%17 Oct →
mirage12–16-0.0330%17 Oct →
nuke13–70.0723%14 Oct →
dust213–7-0.0131%5 Oct →
nuke12–12-0.0420%5 Oct →
dust213–10.0318%5 Oct →
mirage13–80.0325%5 Oct →
mirage6–00.0932%5 Oct →
dust28–13-0.0015%5 Oct →
mirage11–130.0211%5 Oct →
anubis5–130.0320%5 Oct →
dust213–8-0.0313%4 Oct →
dust213–100.1616%4 Oct →
mirage7–130.0621%4 Oct →
mirage13–80.0224%4 Oct →
dust211–13-0.0227%4 Oct →
mirage13–80.0725%4 Oct →
ancient13–110.0315%21 Sept →
anubis7–13-0.0525%12 Sept →
anubis3–13-0.1033%9 Sept →
mirage11–13-0.0411%2 May →
ancient11–13-0.0819%27 Apr →
anubis13–100.0614%27 Apr →
anubis6–13-0.0618%23 Apr →
mirage13–9-0.026%16 Apr →
mirage5–13-0.0418%16 Apr →
anubis10–130.0113%14 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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