Chaos

Chaos — CS2 Stats

US76561198115865225[U:1:155599497]Steam profile ↗✓ No bans

1,133Tracked matches47%Win rate2020Tracked since
5,370Hours in CS3Hrs last 2 wks
CSDB Rating4.3 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,295 → 1,295
+8Tracked matches · now 1,133
−5.0ppWin rate · 51.7% → 46.7%

Rating over time

Premier CS Rating: 19,669 -1,580 4 Apr – 3 Jul · 16 days played
18,63922,037peak 22,0374 Apr3 Jul
Faceit ELO: 1,295 +0 2 Sept – 17 Sept · 4 observations
1,2951,295peak 1,2952 Sept17 Sept
22,254Peak Premier in tracked matches
1,295Highest Faceit ELO seen on CSDB
25Days played since 2026-04-04

Faceit ELO

  • At peak — 1,295
  • Next: Level 7 at 1,351 — 56 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-02
  • Level 5 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches8——
Win rate38%——
K/D0.72——
Headshot %55%——

Measured 15 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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.

Share this profile

CSDB.GGChaosPEAK ELO1,295csdb.gg/stats

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Performance scores

Aim63
Positioning36
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWWLWLLLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −6.0pp headshot accuracy · +21ms reaction

Win rate up 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 563ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 552ms

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 (+2.2 against its own average).

Aim6.3
Utility5.0
Positioning3.6
Opening Duels0.0
Clutch2.8

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 35% on T to 20% on CT — first contacts on the defending side are being lost.

Reaction time. 593ms 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

Aim6.3
Positioning3.6
Utility5.0
Mechanics6.4
Opening Duels0.7
Win Impact3.9

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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time596ms−58ms
first ⅓ avg 654ms → last ⅓ avg 596ms
Headshot accuracy26.0%+5.1%
first ⅓ avg 21.0% → last ⅓ avg 26.0%

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

0.07Best match rating · 13–0 · cache, 7 Jun →
55%Best headshot accuracy · 13–1 · overpass, 26 Apr →
344msFastest reaction time · 8–13 · inferno, 19 Sept →
13–0Biggest win · cache, 7 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 57% over 14infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%-0.03
nukeC167–944%-0.01
dust2A148–657%-0.04
ancientA148–657%-0.03
infernoD112–918%-0.03
cacheB84–450%-0.01
anubisB63–350%-0.03
overpass—43–175%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

283,107Lifetime kills
0.94K/D
10,407Matches
48.4%Match win rate · Top 25% of tracked players
52.0%Headshot % · Top 25% of tracked players
21.7%Shot accuracy · Top 1% of tracked players
38,398MVPs
5,076Hours (in match)
7,343Bombs planted
13,005Bombs defused

Most-used weapons

AK-4796,475
AWP50,596
P2509,882
FAMAS4,650
SG 5534,569
SSG 083,850

Lifetime map wins

28,647inferno
22,633dust2
9,859nuke
7,568train
5,609vertigo
1,859cbble
359lake
167office

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

Faceit stats

Combat

307Matches
49%Win rate
1.20Avg K/D
70.0ADR
53%Headshot %

Clutches & streaks

34%1v1 clutch win
16%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3050%1.0014.3
Inferno1937%0.9215.4
Nuke1242%0.9815.7
Ancient1145%1.0517.4
Dust2956%0.7912.4
Vertigo540%0.8914.4
Cache367%0.879.0
Overpass250%0.9517.0

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.

26.0%Headshot accuracy
29.4%Accuracy (enemy spotted)
25.1%Spray accuracy
78.8%Counter-strafing
9.6°Preaim
593msReaction time
35.2%T opening success
20.1%CT opening success
0.54Enemies flashed / flash
5.1%Flash assists
10.27HE damage / grenade
4.50Flashes / 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 35.246% — 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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0419%3 Oct →
anubis13–8-0.0327%3 Oct →
inferno13–70.0026%3 Oct →
nuke7–130.0116%3 Oct →
mirage13–9-0.0218%3 Oct →
mirage10–13-0.0127%19 Sept →
inferno8–13-0.0810%19 Sept →
mirage8–130.0115%19 Sept →
mirage13–11-0.0526%16 Aug →
mirage13–8-0.0122%8 Aug →
inferno9–13-0.0330%8 Aug →
anubis7–13-0.0414%19 Jul →
cache7–13-0.0622%19 Jul →
nuke11–130.0336%18 Jul →
mirage11–20.0331%18 Jul →
mirage13–50.0538%18 Jul →
cache11–8-0.0544%18 Jul →
nuke0–13-0.030%18 Jul →
mirage5–13-0.0530%3 Jul →
mirage7–13-0.0121%3 Jul →
cache5–13-0.0147%3 Jul →
inferno7–13-0.0519%21 Jun →
mirage8–13-0.0937%21 Jun →
dust213–100.0032%21 Jun →
dust213–10-0.0133%21 Jun →
ancient10–13-0.0021%21 Jun →
mirage13–11-0.0137%14 Jun →
mirage13–7-0.0326%7 Jun →
nuke13–9-0.0230%7 Jun →
cache13–00.0716%7 Jun →
inferno5–13-0.0647%7 Jun →
dust213–10-0.0127%7 Jun →
mirage13–3-0.0415%7 Jun →
inferno15–15-0.0425%6 Jun →
anubis8–13-0.0515%6 Jun →
dust210–13-0.0115%24 May →
mirage13–4-0.0012%24 May →
ancient13–60.049%24 May →
nuke9–13-0.0317%24 May →
anubis13–60.0412%10 May →
overpass13–8-0.0114%10 May →
dust213–10-0.1111%10 May →
ancient7–13-0.0618%10 May →
inferno12–16-0.0318%10 May →
mirage8–13-0.0529%9 May →
nuke13–5-0.0333%9 May →
mirage13–10-0.0414%9 May →
ancient13–50.0225%9 May →
nuke7–13-0.0924%9 May →
cache13–11-0.0015%3 May →
anubis5–13-0.0627%3 May →
mirage8–130.0021%3 May →
dust27–130.0218%2 May →
mirage10–13-0.0220%2 May →
nuke2–13-0.0318%2 May →
cache12–12-0.0114%2 May →
cache12–120.0339%29 Apr →
cache13–10-0.085%29 Apr →
anubis16–13-0.0216%26 Apr →
nuke13–9-0.0111%26 Apr →
dust213–6-0.0633%26 Apr →
ancient13–2-0.0217%26 Apr →
nuke13–70.0423%26 Apr →
overpass13–10.0355%26 Apr →
dust210–13-0.0510%25 Apr →
inferno5–130.0321%25 Apr →
mirage11–13-0.0518%25 Apr →
nuke13–5-0.0215%25 Apr →
ancient13–90.0224%25 Apr →
dust29–13-0.0917%25 Apr →
ancient13–110.0018%19 Apr →
dust213–10-0.076%19 Apr →
ancient13–100.0241%19 Apr →
ancient13–11-0.0630%19 Apr →
mirage13–2-0.0519%19 Apr →
inferno10–13-0.0716%18 Apr →
mirage13–40.0311%18 Apr →
nuke13–110.0140%18 Apr →
ancient13–11-0.0919%18 Apr →
dust213–110.0019%18 Apr →
inferno11–13-0.0124%18 Apr →
mirage5–13-0.1124%12 Apr →
dust20–13-0.1221%12 Apr →
dust213–30.0238%12 Apr →
ancient3–13-0.0414%12 Apr →
overpass16–14-0.0418%12 Apr →
ancient11–13-0.0424%12 Apr →
mirage8–13-0.0219%12 Apr →
mirage9–13-0.0415%12 Apr →
overpass6–13-0.055%12 Apr →
nuke8–13-0.0321%11 Apr →
ancient7–13-0.0523%11 Apr →
mirage8–13-0.0318%11 Apr →
nuke10–130.0125%11 Apr →
ancient6–13-0.086%5 Apr →
nuke13–8-0.0216%5 Apr →
inferno13–9-0.0419%5 Apr →
dust21–13-0.0925%5 Apr →
mirage13–10-0.0628%5 Apr →
mirage6–13-0.0234%4 Apr →

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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