Xylar

Xylar — CS2 Stats

GB76561198062528001[U:1:102262273]Steam profile ↗✓ No bans

490Tracked matches38%Win rate2021Tracked since
683Hours in CS
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating9,443Light Blue band · top ~57.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (37 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: 9,443 -2,244 5 Oct – 20 Sept · 28 days played
9,43814,913peak 14,9135 Oct20 Sept
14,999Peak Premier in tracked matches
63Days played since 2024-10-02

Premier CS Rating

  • 5,470 below peak (14,913)
  • -557 over 30 days · declining
  • -3,794 over 90 days
  • Next: Blue band at 10,000 — 557 to go
  • Reached: 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 rate36.4%41.8%42.7%6.4% short
Shot accuracy14.1%12.2%11.2%above
Kill/death ratio1.040.980.99above
Match win rate41.4%43.3%43.9%2.5% short

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

Widest gap: Headshot rate. 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.GGXylarFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER9,443 · Light Blue 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

Aim68
Positioning47
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY42–52–6Last 10042%Win rateLWLWLWWLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −0.5pp headshot accuracy · −21ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 728ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 635ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 646ms

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 against its own average).

Aim6.8
Utility2.5
Positioning4.7
Opening Duels1.3
Clutch2.4

Strong CT-side openerLimited 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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

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

T-side openings. Opening success drops from 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim6.8
Positioning4.7
Utility2.5
Mechanics8.0
Opening Duels1.7
Win Impact1.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time639ms−4ms
first ⅓ avg 643ms → last ⅓ avg 639ms
Headshot accuracy19.6%+3.4%
first ⅓ avg 16.1% → last ⅓ avg 19.6%

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

0.12Best match rating · 13–4 · cache, 29 Jul →
53%Best headshot accuracy · 13–2 · mirage, 20 Jun →
422msFastest reaction time · 10–13 · anubis, 23 Aug →
13–1Biggest win · inferno, 30 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 50% over 6anubisWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2411–1346%-0.02
mirageC218–1338%-0.01
anubisD175–1229%-0.02
cacheD103–730%-0.00
infernoC94–544%-0.05
ancientC73–443%0.02
nukeB63–350%-0.02
overpass—43–175%0.00
vertigo—11–0100%-0.07
train—11–0100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,504Lifetime kills
1.04K/D · Top 50% of Level 3 players
1,865Matches
41.4%Match win rate
36.4%Headshot %
14.1%Shot accuracy · Top 50% of Level 3 players
4,088MVPs
683Hours (in match)
1,198Bombs planted
323Bombs defused

Most-used weapons

Lifetime map wins

5,201dust2
1,570inferno
825vertigo
612nuke
183cbble
173train
120lake
99bank

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

Faceit stats

Combat

81Matches
56%Win rate
1.20Avg K/D
74.7ADR
35%Headshot %

Clutches & streaks

32%1v1 clutch win
33%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1457%0.8813.6
Dust21250%1.3215.6
Anubis743%0.8914.9
Vertigo667%0.8013.5
Inferno475%0.8816.5
Ancient250%1.0316.5
Nuke250%0.5212.5

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.

19.3%Headshot accuracy
34.5%Accuracy (enemy spotted)
41.8%Spray accuracy
85.8%Counter-strafing
11.7°Preaim
644msReaction time
25.1%T opening success
43.7%CT opening success
0.69Enemies flashed / flash
3.1%Flash assists
6.46HE damage / grenade
3.32Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3231 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 25.1076% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0220%20 Sept →
mirage13–50.0112%9 Sept →
dust28–13-0.0511%2 Sept →
mirage13–40.0228%27 Aug →
cache8–130.0033%26 Aug →
dust213–2-0.0412%25 Aug →
dust213–10-0.0214%24 Aug →
anubis10–130.0014%23 Aug →
ancient7–130.0910%23 Aug →
mirage9–130.0026%19 Aug →
cache4–13-0.0323%19 Aug →
dust29–13-0.0618%16 Aug →
inferno1–13-0.0713%11 Aug →
mirage8–130.0624%10 Aug →
ancient13–110.0119%6 Aug →
dust213–100.0620%6 Aug →
cache9–13-0.0318%5 Aug →
anubis13–5-0.055%4 Aug →
nuke13–9-0.0625%3 Aug →
nuke11–130.0019%3 Aug →
dust211–130.0128%2 Aug →
dust29–13-0.0912%2 Aug →
dust215–15-0.0022%2 Aug →
cache10–13-0.0426%1 Aug →
mirage9–13-0.0618%31 Jul →
dust25–13-0.0912%29 Jul →
cache13–40.1230%29 Jul →
mirage8–130.0518%29 Jul →
inferno13–6-0.1122%28 Jul →
mirage13–40.0618%28 Jul →
dust213–3-0.0236%11 Jul →
ancient10–130.0511%11 Jul →
cache13–16-0.0027%9 Jul →
cache13–16-0.0522%9 Jul →
mirage13–6-0.060%9 Jul →
cache13–9-0.0512%7 Jul →
dust24–13-0.0824%5 Jul →
dust27–13-0.0621%5 Jul →
mirage13–11-0.0315%5 Jul →
overpass13–2-0.0113%2 Jul →
dust213–30.0244%2 Jul →
inferno13–1-0.0424%30 Jun →
ancient11–13-0.0719%30 Jun →
nuke13–11-0.025%29 Jun →
inferno7–13-0.0521%29 Jun →
ancient13–30.0410%29 Jun →
mirage10–13-0.0213%29 Jun →
ancient15–150.0114%28 Jun →
mirage13–110.0119%28 Jun →
mirage14–16-0.0023%28 Jun →
nuke13–50.0016%28 Jun →
anubis6–13-0.0410%28 Jun →
anubis9–13-0.0124%27 Jun →
mirage11–13-0.0624%24 Jun →
nuke8–130.0120%21 Jun →
mirage13–20.1053%20 Jun →
anubis5–13-0.089%19 Jun →
cache11–13-0.0422%19 Jun →
mirage4–13-0.0319%14 Jun →
anubis10–13-0.0417%14 Jun →
overpass13–20.0413%13 Jun →
inferno13–10-0.0623%12 Jun →
anubis13–6-0.0221%3 Jun →
dust215–15-0.0626%3 Jun →
mirage9–13-0.0112%1 Jun →
mirage13–70.0323%31 May →
dust213–80.0328%31 May →
dust27–13-0.0129%29 May →
overpass13–4-0.036%26 May →
dust23–13-0.0120%26 May →
cache13–70.0832%25 May →
dust213–60.0238%25 May →
anubis13–6-0.051%13 Jan →
dust23–13-0.059%13 Jan →
vertigo13–11-0.079%13 Jan →
anubis8–130.039%12 Jan →
dust211–13-0.0810%12 Jan →
mirage3–13-0.094%12 Jan →
anubis11–13-0.0116%27 Apr →
inferno13–6-0.0315%26 Apr →
dust216–12-0.0518%25 Apr →
mirage10–13-0.0615%23 Apr →
overpass11–130.0013%19 Apr →
anubis13–110.0122%17 Apr →
anubis13–9-0.0512%16 Apr →
dust213–11-0.0117%15 Apr →
nuke7–13-0.0515%15 Apr →
anubis10–130.0711%12 Apr →
inferno15–15-0.0417%10 Apr →
anubis15–15-0.0111%3 Apr →
dust213–100.0520%3 Apr →
ancient13–50.0219%3 Apr →
inferno4–13-0.0521%9 Mar →
inferno15–150.0121%4 Mar →
mirage8–13-0.0616%25 Feb →
anubis5–130.0311%25 Feb →
train13–40.0224%20 Nov →
anubis11–13-0.078%8 Nov →
dust213–100.0324%5 Oct →
anubis9–13-0.0620%2 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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