XNYL

XNYL — CS2 Stats

76561197999518482[U:1:39252754]Steam profile ↗✓ No bans

3,205Tracked matches53%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
CSDB Leaderboard#55012 of 247982 tracked
FaceitLevel 10 · 2,243 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,873 +88 1 Aug – 7 Aug · 2 days played
21,78521,873peak 21,8731 Aug7 Aug
21,873Peak Premier in tracked matches
2,243Highest Faceit ELO seen on CSDB
27Days played since 2026-08-01

Faceit ELO

  • At peak — 2,243
  • Next: 2,500 ELO at 2,500 — 257 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGXNYLFACEITLevel 10 · 2,243 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,243csdb.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

Aim74
Positioning64
Utility65

0–100 skill scores via Leetify.

Recent form

COLD54–46Last 10054%Win rateLLLWLLLWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.0pp headshot accuracy · +20ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 494ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 543ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

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 (+0.9 against its own average).

Aim7.4
Utility6.5
Positioning6.4
Opening Duels4.5
Clutch5.0

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

jL

Plays most like jL 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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 57% on CT to 38% 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

Aim7.4
Positioning6.4
Utility6.5
Mechanics5.4
Opening Duels4.4
Win Impact6.1

Composite 6.3/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time531ms−89ms
first ⅓ avg 619ms → last ⅓ avg 531ms
Headshot accuracy20.6%+0.0%
first ⅓ avg 20.6% → last ⅓ avg 20.6%

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

0.15Best match rating · 13–3 · cache, 14 Aug →
38%Best headshot accuracy · 8–13 · inferno, 30 Aug →
391msFastest reaction time · 13–11 · ancient, 13 Sept →
13–2Biggest win · inferno, 20 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
9–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 64% over 11anubisWeakest map · 50% over 22
MapGradePlayedRecordWin rateAvg rating
ancientB2815–1354%-0.01
anubisB2211–1150%-0.01
infernoB168–850%0.01
cacheB137–654%0.02
nukeA117–464%-0.01
dust2A53–260%-0.03
mirage—31–233%-0.01
vertigo—22–0100%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 22). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,461Matches
51%Win rate
1.09Avg K/D
82.1ADR
42%Headshot %

Clutches & streaks

45%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient37252%1.0815.9
Inferno23854%1.2016.4
Anubis20445%0.9614.5
Nuke13854%1.0615.9
Overpass7441%1.0915.5
Train6151%0.9815.8
Dust23244%0.8713.1
Mirage2348%0.8313.8

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.

19.9%Headshot accuracy
33.8%Accuracy (enemy spotted)
35.4%Spray accuracy
74.4%Counter-strafing
8.8°Preaim
531msReaction time
38.3%T opening success
56.8%CT opening success
0.60Enemies flashed / flash
6.1%Flash assists
9.80HE damage / grenade
12.35Flashes / 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 38.3387% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0611%26 Sept →
nuke3–13-0.0810%26 Sept →
ancient9–13-0.0412%26 Sept →
vertigo13–90.0620%25 Sept →
ancient10–13-0.0419%24 Sept →
cache5–13-0.0417%24 Sept →
dust28–13-0.0415%24 Sept →
vertigo13–30.0017%24 Sept →
mirage6–13-0.0634%24 Sept →
cache13–30.0826%20 Sept →
ancient1–13-0.0126%20 Sept →
ancient13–60.019%20 Sept →
inferno13–20.0921%20 Sept →
cache16–12-0.039%20 Sept →
ancient16–120.0317%17 Sept →
ancient13–11-0.0526%13 Sept →
anubis6–13-0.0220%13 Sept →
inferno10–13-0.0716%13 Sept →
nuke11–13-0.0215%5 Sept →
anubis11–13-0.0314%5 Sept →
inferno13–110.0317%5 Sept →
ancient13–80.0229%4 Sept →
mirage13–80.0020%4 Sept →
cache10–130.0424%3 Sept →
cache13–70.0429%30 Aug →
inferno13–80.0224%30 Aug →
inferno8–13-0.0238%30 Aug →
anubis13–90.0623%30 Aug →
inferno13–100.0932%29 Aug →
nuke13–70.0314%29 Aug →
cache11–13-0.0130%29 Aug →
nuke13–70.0525%29 Aug →
ancient13–8-0.0023%28 Aug →
nuke7–13-0.1217%28 Aug →
anubis4–13-0.0416%28 Aug →
ancient13–40.0421%28 Aug →
nuke19–17-0.0518%27 Aug →
anubis13–110.0236%23 Aug →
cache13–70.0429%23 Aug →
anubis13–60.0835%23 Aug →
anubis13–5-0.0033%23 Aug →
ancient16–130.0128%23 Aug →
anubis5–13-0.0223%23 Aug →
anubis8–13-0.0621%23 Aug →
ancient9–130.0520%23 Aug →
ancient10–13-0.0117%23 Aug →
nuke13–80.1121%22 Aug →
cache7–13-0.0019%22 Aug →
inferno13–100.0529%21 Aug →
dust213–8-0.0217%21 Aug →
cache20–220.0824%21 Aug →
inferno13–160.0513%21 Aug →
ancient7–13-0.0116%20 Aug →
inferno13–10-0.0420%20 Aug →
ancient13–11-0.0314%20 Aug →
anubis13–8-0.0326%19 Aug →
anubis8–13-0.0624%16 Aug →
inferno10–130.0223%16 Aug →
anubis5–13-0.0318%16 Aug →
cache7–13-0.0216%16 Aug →
anubis13–2-0.0319%16 Aug →
ancient13–9-0.0231%16 Aug →
anubis10–130.0222%16 Aug →
ancient9–13-0.0523%15 Aug →
ancient7–13-0.0323%15 Aug →
cache13–30.1533%14 Aug →
inferno13–40.0520%14 Aug →
ancient4–13-0.0219%14 Aug →
inferno11–13-0.0128%9 Aug →
ancient10–130.0322%9 Aug →
anubis13–11-0.0016%9 Aug →
ancient16–14-0.0220%9 Aug →
ancient16–130.0018%8 Aug →
anubis13–20.0730%8 Aug →
anubis13–11-0.0125%8 Aug →
nuke3–13-0.0819%8 Aug →
ancient13–50.0513%8 Aug →
inferno7–13-0.0221%7 Aug →
inferno10–13-0.0418%7 Aug →
ancient9–130.0117%7 Aug →
ancient13–80.0317%7 Aug →
inferno4–13-0.0722%7 Aug →
anubis13–10-0.0410%7 Aug →
cache13–8-0.019%7 Aug →
dust213–8-0.0321%7 Aug →
mirage5–130.0322%7 Aug →
nuke13–70.0533%4 Aug →
anubis5–13-0.0115%4 Aug →
nuke13–7-0.0134%2 Aug →
ancient1–13-0.1031%2 Aug →
dust213–4-0.0222%1 Aug →
dust211–13-0.0516%1 Aug →
anubis13–7-0.0313%1 Aug →
cache13–6-0.0017%1 Aug →
anubis10–13-0.0122%1 Aug →
nuke13–90.0431%1 Aug →
anubis9–130.0123%1 Aug →
ancient13–7-0.0520%1 Aug →
ancient13–110.0017%1 Aug →
inferno13–50.0920%1 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.