⸸420⸸✟XØRCXST✟⸸420⸸

⸸420⸸✟XØRCXST✟⸸420⸸ — CS2 Stats

HT76561198933710992[U:1:973445264]Steam profile ↗✓ No bans

3,337Tracked matches50%Win rate2021Tracked since
5,656Hours in CS39Hrs last 2 wks
CSDB Rating1.9 LearningSupport
Premier CS Rating1,112Grey band · top ~95.3% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 1,112 -594 17 Sept – 14 Nov · 29 days played
1,0001,706peak 1,70617 Sept14 Nov
1,706Peak Premier in tracked matches
33Days played since 2026-09-17

Premier CS Rating

  • 594 below peak (1,706)
  • +112 over 30 days · steady
  • Next: Light Blue band at 5,000 — 3,888 to go

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches60102−42
Win rate43%39%+4pp
K/D0.470.56−0.09
Headshot %24%26%−1pp

Measured 16 Oct 2026 → 15 Nov 2026; previous 17 Sep 2026 → 16 Oct 2026.

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 1 among CSDB-tracked players (n=2,404), 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 1 medianLevel 2 medianvs Level 2
Headshot rate28.3%40.9%41.3%13.0% short
Shot accuracy10.5%14.2%12.7%2.2% short
Kill/death ratio0.530.950.950.42 short
Match win rate34.5%42.1%42.6%8.1% short

This profile sits below the typical Level 2 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG⸸420⸸✟XØRCXST✟⸸420⸸FACEITLevel 1STANDINGTop 100.0% of rankedPREMIER1,112 · Grey 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

Aim3
Positioning30
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY42–58Last 10042%Win rateWLWWWLWLLL

Last 10 vs previous 10: −20pp win rate · +0.05 avg rating · −1.1pp headshot accuracy · −45ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 794ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 773ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 795ms

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 (+1.5 against its own average).

Aim0.3
Utility3.9
Positioning3.0
Opening Duels0.0
Clutch2.6

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

ZywOo

Plays most like ZywOo 51% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 33% on T to 15% on CT — first contacts on the defending side are being lost.

Reaction time. 818ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.3
Positioning3.0
Utility3.9
Mechanics2.1
Opening Duels0.4
Win Impact5.0

Composite 1.9/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time826ms+22ms
first ⅓ avg 804ms → last ⅓ avg 826ms
Headshot accuracy9.5%−0.1%
first ⅓ avg 9.6% → last ⅓ avg 9.5%

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

0.11Best match rating · 13–2 · nuke, 2 Oct →
40%Best headshot accuracy · 7–3 · mirage, 29 Sept →
547msFastest reaction time · 8–13 · nuke, 14 Nov →
13–0Biggest win · dust2, 14 Nov →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 62% over 13cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB3115–1648%-0.03
dust2D226–1627%-0.04
nukeA138–562%-0.02
infernoA116–555%-0.03
anubisB115–645%-0.05
cacheD81–713%-0.07
ancient—41–325%-0.08

Across the last 100 tracked matches.

Lifetime stats

68,281Lifetime kills
0.53K/D
7,212Matches
34.5%Match win rate
28.3%Headshot %
10.5%Shot accuracy
7,153MVPs
2,723Hours (in match)
9,750Bombs planted
1,314Bombs defused

Most-used weapons

AK-4712,514
AWP11,818
MP92,530
Knife2,038
MAC-101,920

Lifetime map wins

12,233dust2
9,313inferno
6,139nuke
2,921vertigo
308office
175train
72cbble
67safehouse

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

Faceit stats

Combat

302Matches
43%Win rate
0.60Avg K/D
46.0ADR
28%Headshot %

Clutches & streaks

33%1v1 clutch win
12%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5545%0.577.9
Dust24844%0.578.9
Inferno2560%0.578.0
Anubis1747%0.426.7
Nuke1547%0.588.3
Vertigo1457%0.709.2
Ancient1164%0.628.2
Train250%0.385.0

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.

10.3%Headshot accuracy
23.4%Accuracy (enemy spotted)
22.2%Spray accuracy
59.6%Counter-strafing
14.4°Preaim
818msReaction time
33.3%T opening success
14.9%CT opening success
0.51Enemies flashed / flash
3.7%Flash assists
5.85HE damage / grenade
10.40Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.4137° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.3393% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 818.4475ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Cache

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–00.020%14 Nov →
inferno4–130.0123%14 Nov →
mirage13–40.0320%14 Nov →
inferno13–3-0.090%14 Nov →
inferno12–10.0213%14 Nov →
nuke8–13-0.025%14 Nov →
dust213–90.066%14 Nov →
anubis14–16-0.063%13 Nov →
dust26–130.0512%13 Nov →
dust29–13-0.014%12 Nov →
mirage13–7-0.055%12 Nov →
anubis13–11-0.1017%11 Nov →
inferno13–5-0.0811%9 Nov →
nuke13–1-0.007%9 Nov →
nuke13–60.039%8 Nov →
mirage13–6-0.050%6 Nov →
dust214–16-0.0918%5 Nov →
anubis13–10-0.020%5 Nov →
nuke9–13-0.0516%4 Nov →
mirage9–13-0.0414%4 Nov →
mirage8–13-0.108%1 Nov →
cache13–16-0.0920%28 Oct →
mirage4–13-0.044%28 Oct →
mirage8–13-0.014%28 Oct →
mirage7–13-0.0823%28 Oct →
cache13–100.028%27 Oct →
nuke3–13-0.1112%26 Oct →
anubis13–11-0.0316%26 Oct →
nuke13–10-0.0817%26 Oct →
dust26–13-0.056%24 Oct →
dust213–8-0.018%24 Oct →
ancient7–13-0.084%24 Oct →
mirage13–6-0.053%24 Oct →
anubis13–11-0.034%16 Oct →
mirage6–13-0.0910%15 Oct →
anubis7–13-0.0817%15 Oct →
cache7–13-0.070%14 Oct →
dust27–13-0.0723%14 Oct →
nuke6–13-0.015%13 Oct →
dust213–16-0.028%13 Oct →
mirage13–7-0.0117%12 Oct →
cache9–13-0.0817%11 Oct →
mirage13–30.048%11 Oct →
dust22–130.026%10 Oct →
anubis3–13-0.0813%10 Oct →
anubis6–13-0.080%10 Oct →
mirage13–7-0.0412%9 Oct →
dust213–16-0.107%9 Oct →
mirage13–70.0419%9 Oct →
ancient8–13-0.080%8 Oct →
mirage7–13-0.118%8 Oct →
inferno13–50.0315%8 Oct →
dust23–13-0.125%8 Oct →
mirage7–130.029%8 Oct →
dust28–13-0.0217%8 Oct →
dust211–13-0.0013%8 Oct →
cache4–13-0.1015%7 Oct →
anubis13–5-0.008%7 Oct →
mirage3–13-0.016%7 Oct →
mirage13–40.0313%6 Oct →
mirage9–13-0.0016%5 Oct →
cache8–13-0.064%5 Oct →
inferno9–13-0.0413%5 Oct →
dust213–11-0.0311%5 Oct →
ancient14–12-0.085%5 Oct →
mirage13–8-0.030%5 Oct →
nuke8–130.0912%4 Oct →
inferno3–5-0.008%4 Oct →
nuke13–10-0.0414%4 Oct →
mirage10–13-0.049%4 Oct →
dust26–13-0.1310%4 Oct →
nuke13–20.1110%2 Oct →
nuke13–3-0.0412%2 Oct →
anubis10–13-0.0911%2 Oct →
mirage14–16-0.0526%2 Oct →
dust211–13-0.088%1 Oct →
anubis1–130.010%1 Oct →
dust213–3-0.077%1 Oct →
mirage14–16-0.0214%29 Sept →
cache11–13-0.024%29 Sept →
mirage7–30.0340%29 Sept →
mirage13–4-0.043%29 Sept →
mirage3–13-0.055%29 Sept →
dust211–13-0.055%28 Sept →
nuke13–60.018%28 Sept →
mirage6–2-0.118%28 Sept →
cache1–13-0.120%28 Sept →
ancient8–13-0.053%27 Sept →
inferno1–4-0.090%27 Sept →
nuke13–8-0.105%27 Sept →
dust212–16-0.1316%26 Sept →
dust210–13-0.0415%26 Sept →
mirage8–13-0.070%26 Sept →
mirage13–7-0.0513%26 Sept →
inferno10–13-0.089%26 Sept →
inferno13–100.088%26 Sept →
mirage13–20.0125%26 Sept →
inferno4–13-0.0715%26 Sept →
mirage2–13-0.090%26 Sept →
dust213–00.068%26 Sept →

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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