Xetherato⬆

Xetherato⬆ — CS2 Stats

GB76561198143166503[U:1:182900775]Steam profile ↗✓ No bans

1,571Tracked matches50%Win rate2020Tracked since
4,749Hours in CS
CSDB Rating6.8 SolidSupport
Premier CS Rating22,578Top 25% of 211,308 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#48554 of 258269 tracked
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 16 Oct 2026 (12 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: 22,578 -2,938 7 Jun – 16 Oct · 8 days played
22,57827,652peak 27,6527 Jun16 Oct
27,652Peak Premier in tracked matches
61Days played since 2025-06-03

Premier CS Rating

  • 5,074 below peak (27,652)
  • -4,058 over 90 days
  • Next: Red band at 25,000 — 2,422 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=30,986), 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 rate46.4%50.9%
Shot accuracy19.4%13.7%
Kill/death ratio1.421.09
Match win rate53.8%48.4%

Share this profile

CSDB.GGXetherato⬆FACEITLevel 10STANDINGTop 12.4% of rankedPREMIER22,578 · Pink bandcsdb.gg/stats

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Performance scores

Aim89
Positioning60
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateWWWLWWLLLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −1.2pp headshot accuracy · −1ms reaction

Win rate down 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 499ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 506ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 506ms

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).

Aim8.9
Utility6.7
Positioning6.0
Opening Duels3.8
Clutch5.8

Sharp aimer

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 94% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.5° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 52% on CT to 35% 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

Aim8.9
Positioning6.0
Utility6.7
Mechanics6.1
Opening Duels3.3
Win Impact5.0

Composite 6.8/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time490ms−107ms
first ⅓ avg 597ms → last ⅓ avg 490ms
Headshot accuracy20.3%+2.7%
first ⅓ avg 17.6% → last ⅓ avg 20.3%

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

0.17Best match rating · 13–6 · ancient, 19 Oct →
47%Best headshot accuracy · 0–7 · anubis, 29 Sept →
328msFastest reaction time · 10–13 · mirage, 18 Jul →
13–0Biggest win · nuke, 26 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
8–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 70% over 20infernoWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
nukeS2014–670%0.03
ancientC188–1044%0.03
infernoD184–1422%0.01
dust2D175–1229%0.02
cacheC52–340%0.00
anubisC52–340%0.02
mirageA53–260%0.03
train—44–0100%0.04
vertigo—22–0100%0.09
overpass—22–0100%0.07
office—10–10%0.03
golden—10–10%0.03
grail—10–10%-0.00
agency—10–10%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

277,618Lifetime kills
1.42K/D · Top 10% of Level 10 players
7,945Matches
53.8%Match win rate · Top 25% of Level 10 players
46.4%Headshot %
19.4%Shot accuracy · Top 10% of Level 10 players
28,216MVPs
4,749Hours (in match)
11,141Bombs planted
3,905Bombs defused

Most-used weapons

AK-4796,759
AWP29,476
Glock-1812,068
P2507,211
Tec-94,808
Knife4,235

Lifetime map wins

22,019inferno
12,084nuke
8,024dust2
7,805vertigo
6,879train
3,964cbble
370office
255lake

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

Faceit stats

Combat

2,256Matches
60%Win rate
1.37Avg K/D
85.4ADR
42%Headshot %

Clutches & streaks

49%1v1 clutch win
28%1v2 clutch win
17Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke10674%1.3718.4
Ancient10550%1.2117.2
Inferno9158%1.2717.5
Anubis4749%1.4319.3
Mirage4146%1.1416.4
Vertigo3768%1.7521.8
Dust22846%1.1316.2
Overpass2250%1.1315.5

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.

19.2%Headshot accuracy
43.7%Accuracy (enemy spotted)
49.1%Spray accuracy
77.4%Counter-strafing
11.5°Preaim
494msReaction time
34.7%T opening success
51.9%CT opening success
0.67Enemies flashed / flash
7.3%Flash assists
8.60HE damage / grenade
14.35Flashes / 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 34.6783% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–50.0812%23 Oct →
ancient13–60.1715%19 Oct →
ancient16–14-0.0113%16 Oct →
cache11–130.0222%15 Oct →
nuke13–8-0.0313%11 Oct →
cache16–14-0.0116%9 Oct →
inferno14–160.0325%2 Oct →
inferno7–130.0215%30 Sept →
anubis0–70.0147%29 Sept →
dust210–130.0626%24 Sept →
mirage13–60.0524%15 Sept →
dust210–130.0323%15 Sept →
inferno13–100.0119%14 Sept →
ancient13–110.0822%13 Sept →
nuke16–120.0721%13 Sept →
nuke13–9-0.0316%26 Aug →
inferno13–110.0317%26 Aug →
cache8–100.0219%25 Aug →
nuke13–60.0930%25 Aug →
nuke3–5-0.0323%7 Aug →
dust23–130.1212%25 Jul →
nuke6–130.0132%25 Jul →
mirage10–13-0.0116%18 Jul →
anubis11–130.0017%18 Jul →
nuke13–6-0.0111%18 Jul →
nuke13–100.0420%18 Jul →
inferno10–130.0310%18 Jul →
dust26–13-0.0118%18 Jul →
ancient13–5-0.0110%5 Jul →
dust210–130.0531%4 Jul →
nuke10–130.0718%4 Jul →
mirage3–130.0926%28 May →
dust20–6-0.0133%28 May →
mirage13–10-0.0019%17 May →
ancient13–50.0521%16 May →
dust213–9-0.0426%16 May →
overpass13–90.0119%16 May →
dust213–70.0513%12 May →
nuke13–110.0523%10 May →
nuke11–13-0.037%8 May →
cache13–90.0225%4 May →
nuke13–60.0816%4 May →
cache7–13-0.0215%29 Apr →
dust213–10.0411%19 Apr →
mirage22–200.0321%14 Apr →
anubis13–70.0510%1 Feb →
ancient11–130.0511%1 Feb →
ancient13–160.0114%1 Feb →
dust214–160.0016%31 Jan →
anubis13–90.0312%31 Jan →
inferno13–80.0340%31 Jan →
ancient9–130.0727%29 Jan →
nuke11–130.0814%29 Jan →
dust213–10-0.0422%27 Jan →
inferno7–13-0.0526%27 Jan →
nuke13–90.0313%27 Jan →
ancient13–80.1311%26 Jan →
inferno8–130.0315%26 Jan →
nuke13–100.0211%24 Jan →
inferno9–130.0625%24 Jan →
dust215–150.0520%23 Jan →
nuke13–70.0422%23 Jan →
dust216–140.0220%1 Jan →
nuke12–16-0.0117%1 Jan →
inferno10–13-0.0017%29 Dec →
inferno11–13-0.0416%29 Dec →
inferno9–13-0.0120%28 Dec →
train13–60.0119%27 Dec →
ancient3–13-0.0119%27 Dec →
ancient7–130.0424%8 Dec →
train11–20.0521%7 Dec →
ancient15–150.0114%6 Dec →
nuke13–70.0213%6 Dec →
nuke13–90.0710%4 Dec →
ancient14–16-0.0417%15 Nov →
dust210–130.0316%13 Nov →
ancient13–90.0319%14 Oct →
inferno7–130.0516%7 Oct →
dust20–3-0.010%7 Oct →
office12–120.0317%7 Oct →
golden12–120.0320%3 Oct →
ancient9–13-0.0913%19 Sept →
train13–110.0316%19 Sept →
dust212–12-0.0331%7 Sept →
overpass13–80.1421%26 Jul →
nuke13–00.1021%26 Jul →
inferno4–130.0017%15 Jul →
grail10–13-0.0033%5 Jul →
inferno13–60.056%2 Jul →
ancient11–130.0621%30 Jun →
ancient12–16-0.0314%17 Jun →
inferno5–13-0.0026%17 Jun →
dust24–130.0319%17 Jun →
inferno12–120.0417%14 Jun →
vertigo13–10.1115%14 Jun →
train13–20.0534%14 Jun →
agency3–130.1215%14 Jun →
inferno8–8-0.105%14 Jun →
anubis4–13-0.0114%7 Jun →
ancient13–90.0418%3 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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