Xen0n

Xen0n — CS2 Stats

DE76561197997408308[U:1:37142580]Steam profile ↗✓ No bans

1,816Tracked matches37%Win rate2023Tracked since
1,842Hours in CS18Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating18,428Purple band · top ~14.8% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (4 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: 18,428 +300 28 Mar – 28 Oct · 18 days played
16,67918,745peak 18,74528 Mar28 Oct
18,745Peak Premier in tracked matches
31Days played since 2026-03-28

Premier CS Rating

  • 317 below peak (18,745)
  • Next: Pink band at 20,000 — 1,572 to go
  • Reached: Purple band · Blue band · Light 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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate32.5%41.8%42.7%10.2% short
Shot accuracy5.4%12.2%11.2%5.8% short
Kill/death ratio1.260.980.99above
Match win rate46.0%43.3%43.9%above

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGXen0nFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER18,428 · Purple bandcsdb.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

Aim79
Positioning71
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY29–66–5Last 10029%Win rateLLLWLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +1.4pp headshot accuracy · −100ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 619ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 583ms

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: Positional Player — Positioning stands above the rest of this profile (+2.5 against its own average).

Aim7.9
Utility2.0
Positioning7.1
Opening Duels4.8

Limited utility dependence

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

donk

Plays most like donk 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower 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

T openings. 77% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 77% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 579ms 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

Aim7.9
Positioning7.1
Utility2.0
Mechanics6.2
Opening Duels7.6
Win Impact0.6

Composite 5.8/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time581ms−88ms
first ⅓ avg 669ms → last ⅓ avg 581ms
Headshot accuracy18.0%−0.4%
first ⅓ avg 18.3% → last ⅓ avg 18.0%

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

0.19Best match rating · 9–6 · inferno, 4 Apr →
41%Best headshot accuracy · 13–2 · dust2, 5 Apr →
422msFastest reaction time · 7–13 · inferno, 23 Oct →
13–0Biggest win · inferno, 24 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 67% over 6ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoD247–1729%0.04
dust2C238–1535%0.01
anubisD174–1324%0.01
ancientD112–918%-0.00
cacheD92–722%-0.03
mirageS64–267%-0.01
nuke—41–325%-0.01
vertigo—21–150%0.05
overpass—20–20%-0.01
train—10–10%-0.08
italy—10–10%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,302Lifetime kills
1.26K/D · Top 10% of Level 3 players
2,470Matches
46.0%Match win rate · Top 50% of Level 3 players
32.5%Headshot %
5.4%Shot accuracy
6,167MVPs
896Hours (in match)
2,434Bombs planted
494Bombs defused

Most-used weapons

AWP15,637
AK-477,135
MAC-101,910
MP71,361
P901,071
MP9758

Lifetime map wins

5,745inferno
4,655dust2
1,621nuke
532vertigo
161train
102office
38italy
12lake

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

Faceit stats

Combat

5Matches
20%Win rate
0.78Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis10%0.7110.0
Nuke10%0.678.0
Mirage10%0.9314.0
Vertigo1100%0.7915.0
Inferno10%0.8012.0

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.

18.2%Headshot accuracy
36.9%Accuracy (enemy spotted)
43.2%Spray accuracy
78.0%Counter-strafing
8.8°Preaim
579msReaction time
77.4%T opening success
50.5%CT opening success
0.32Enemies flashed / flash
1.3%Flash assists
10.25HE damage / grenade
0.51Flashes / 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 0.3207 — below the 0.5 mark we flag

    Grenade Lineups →
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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.0717%28 Oct →
cache7–13-0.0311%28 Oct →
dust25–130.0217%27 Oct →
dust213–110.0219%26 Oct →
ancient1–130.0128%24 Oct →
dust213–10-0.0113%24 Oct →
mirage13–2-0.0417%24 Oct →
inferno13–00.000%24 Oct →
anubis8–130.0429%24 Oct →
dust211–130.1130%24 Oct →
inferno7–130.0924%23 Oct →
anubis9–13-0.0116%23 Oct →
dust24–13-0.0021%23 Oct →
mirage1–130.0213%22 Oct →
ancient10–130.062%22 Oct →
anubis11–130.0212%22 Oct →
mirage7–13-0.0119%22 Oct →
ancient16–140.0226%22 Oct →
mirage13–4-0.0225%20 Oct →
cache2–13-0.108%20 Oct →
cache8–13-0.0318%15 Oct →
cache1–130.0421%15 Oct →
inferno8–130.0719%15 Oct →
cache13–100.0130%15 Oct →
mirage13–9-0.0418%15 Oct →
mirage13–70.0516%13 Oct →
ancient5–13-0.0124%13 Oct →
inferno6–13-0.0123%13 Oct →
nuke13–8-0.0013%12 Oct →
anubis13–110.0412%12 Oct →
dust213–30.0417%12 Oct →
inferno16–120.0622%10 Oct →
nuke10–13-0.0315%10 Oct →
dust212–12-0.0018%9 Oct →
ancient13–16-0.0516%15 Jul →
anubis13–110.0018%24 Jun →
anubis0–9-0.0721%24 Jun →
dust25–13-0.0519%25 May →
dust210–130.0920%25 May →
inferno1–13-0.0213%1 May →
cache8–13-0.0812%1 May →
cache13–10-0.0521%1 May →
cache8–13-0.0122%1 May →
cache10–13-0.0010%28 Apr →
inferno5–13-0.0115%28 Apr →
inferno13–80.0722%28 Apr →
ancient5–13-0.0118%26 Apr →
inferno7–130.056%26 Apr →
anubis8–130.0517%26 Apr →
inferno13–90.0020%25 Apr →
vertigo13–10.1619%25 Apr →
dust216–13-0.0522%25 Apr →
dust22–130.0125%25 Apr →
inferno11–130.1220%24 Apr →
nuke14–160.0116%24 Apr →
ancient13–160.0311%24 Apr →
anubis4–13-0.0712%24 Apr →
inferno15–15-0.0215%23 Apr →
dust213–60.0718%23 Apr →
anubis9–130.0319%23 Apr →
ancient3–13-0.0638%23 Apr →
anubis12–120.0616%22 Apr →
inferno5–90.1118%22 Apr →
dust213–50.0213%18 Apr →
dust216–14-0.105%18 Apr →
inferno11–130.0112%18 Apr →
ancient13–8-0.0329%17 Apr →
anubis5–13-0.0225%17 Apr →
anubis15–15-0.0122%17 Apr →
train3–13-0.0812%17 Apr →
vertigo7–13-0.0711%16 Apr →
overpass6–13-0.0214%16 Apr →
inferno10–130.0215%16 Apr →
inferno6–90.0319%16 Apr →
dust213–2-0.0541%5 Apr →
dust25–13-0.0415%5 Apr →
anubis13–50.0812%4 Apr →
anubis9–13-0.0114%4 Apr →
inferno4–13-0.0313%4 Apr →
dust210–130.0634%4 Apr →
inferno13–70.0211%4 Apr →
inferno14–160.0416%4 Apr →
inferno15–150.0414%4 Apr →
inferno9–60.1918%4 Apr →
italy2–130.0725%4 Apr →
dust23–130.0521%4 Apr →
inferno4–130.0417%3 Apr →
dust210–130.1022%3 Apr →
dust23–13-0.0217%3 Apr →
anubis13–60.0414%2 Apr →
anubis9–13-0.006%2 Apr →
anubis5–130.0227%2 Apr →
ancient7–130.0212%30 Mar →
dust22–13-0.0432%30 Mar →
dust22–130.0217%30 Mar →
inferno13–11-0.037%28 Mar →
ancient7–13-0.0335%28 Mar →
nuke10–13-0.0224%28 Mar →
inferno7–90.0410%28 Mar →
overpass3–9-0.0012%28 Mar →

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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