Anzu

Anzu — CS2 Stats

76561198001624522[U:1:41358794]Steam profile ↗VAC banned

1,145Tracked matches57%Win rate2020Tracked since
3,246Hours in CS34Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
FaceitLevel 10 · 1,430 ELOTop 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 4 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,430 → 1,430
+51Tracked matches · now 1,145
+3.3ppWin rate · 53.3% → 56.7%

Rating over time

Premier CS Rating: 25,000 -110 29 Jun – 5 Jul · 2 days played
25,00025,110peak 25,11029 Jun5 Jul
Faceit ELO: 1,430 +0 30 Aug – 4 Sept · 3 observations
1,4301,430peak 1,43030 Aug4 Sept
25,110Peak Premier in tracked matches
1,430Highest Faceit ELO seen on CSDB
37Days played since 2026-06-29

Faceit ELO

  • At peak — 1,430
  • Next: Level 8 at 1,531 — 101 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-30
  • Level 6 first seen 2026-08-30

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,846), 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 rate38.4%50.9%
Shot accuracy11.8%13.7%
Kill/death ratio1.251.09
Match win rate43.9%48.4%

Share this profile

CSDB.GGAnzuFACEITLevel 10 · 1,430 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,430csdb.gg/stats

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Performance scores

Aim83
Positioning44
Utility63

0–100 skill scores via Leetify.

Recent form

HOT59–39–2Last 10059%Win rateWLWWWWWWLT

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −3.6pp headshot accuracy · −11ms 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 489ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 488ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 493ms

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 (+2.8 against its own average).

Aim8.3
Utility6.3
Positioning4.4
Opening Duels0.0
Clutch3.4

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 79% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

Aim8.3
Positioning4.4
Utility6.3
Mechanics6.0
Opening Duels0.5
Win Impact7.2

Composite 5.4/10 (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 rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time501ms−32ms
first ⅓ avg 533ms → last ⅓ avg 501ms
Headshot accuracy16.9%+0.3%
first ⅓ avg 16.5% → last ⅓ avg 16.9%

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

0.28Best match rating · 5–1 · rush_001, 6 Oct →
52%Best headshot accuracy · 13–9 · anubis, 27 Aug →
344msFastest reaction time · 8–6 · rush_001, 9 Oct →
13–0Biggest win · nuke, 29 Jun →

Across the last 100 tracked matches.

Highlights

10Longest win streak
9–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

rush_001Best map · 91% over 11dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2012–860%0.01
nukeA1610–663%-0.00
anubisS128–467%0.00
ancientB126–650%0.01
rush_001S1110–191%0.04
dust2C83–538%-0.01
cacheA74–357%0.00
infernoC52–340%0.05
vertigo—30–30%-0.02
office—22–0100%-0.05
shelter—21–150%0.01
poseidon—10–10%-0.04
overpass—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,159Lifetime kills
1.25K/D · Top 25% of Level 10 players
5,967Matches
43.9%Match win rate
38.4%Headshot %
11.8%Shot accuracy
10,534MVPs
2,113Hours (in match)
4,428Bombs planted
929Bombs defused

Most-used weapons

AK-4725,493
AWP16,757
P904,967
SG 5532,825
AUG2,373

Lifetime map wins

11,101office
7,571dust2
2,938nuke
2,164inferno
1,402cbble
1,005train
481italy
476lake

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

Faceit stats

Combat

133Matches
62%Win rate
1.31Avg K/D
78.5ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4163%1.2916.8
Ancient2157%1.2518.1
Dust21958%1.3418.2
Nuke1547%1.1618.7
Anubis1275%1.5619.9
Inferno1182%1.5117.1
Overpass967%1.2417.7
Cache367%1.1014.7

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.

16.9%Headshot accuracy
36.6%Accuracy (enemy spotted)
46.0%Spray accuracy
76.8%Counter-strafing
9.6°Preaim
484msReaction time
30.9%T opening success
33.1%CT opening success
0.60Enemies flashed / flash
5.1%Flash assists
9.74HE damage / grenade
22.41Flashes / 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 30.8752% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.007%12 Oct →
dust28–13-0.0129%12 Oct →
rush_0018–4-0.0720%12 Oct →
dust213–90.0611%12 Oct →
rush_0018–6-0.120%9 Oct →
cache13–100.0020%9 Oct →
mirage13–90.0130%9 Oct →
anubis13–70.0812%9 Oct →
nuke9–13-0.0012%9 Oct →
inferno8–80.0310%9 Oct →
nuke9–60.0317%9 Oct →
nuke8–8-0.0211%9 Oct →
mirage13–110.0513%7 Oct →
mirage5–130.0311%7 Oct →
rush_0014–00.2531%7 Oct →
rush_0010–4-0.1117%7 Oct →
rush_0018–50.0520%7 Oct →
mirage13–9-0.0120%6 Oct →
mirage1–8-0.0140%6 Oct →
mirage7–130.045%6 Oct →
rush_0015–10.2826%6 Oct →
dust23–130.0117%6 Oct →
inferno5–130.0438%5 Oct →
cache13–110.0112%5 Oct →
rush_0016–20.2032%4 Oct →
rush_0016–20.0217%4 Oct →
rush_0018–5-0.070%3 Oct →
rush_0016–2-0.0111%3 Oct →
rush_0018–60.050%3 Oct →
cache13–6-0.0516%22 Sept →
poseidon3–9-0.0423%22 Sept →
anubis13–11-0.0415%21 Sept →
ancient13–160.0415%20 Sept →
ancient2–13-0.0018%18 Sept →
anubis3–13-0.1011%18 Sept →
anubis9–13-0.0833%18 Sept →
ancient16–120.0020%18 Sept →
mirage1–13-0.0017%18 Sept →
overpass13–70.067%17 Sept →
nuke13–7-0.0915%9 Sept →
cache10–13-0.0218%9 Sept →
ancient13–10-0.027%9 Sept →
nuke13–40.089%6 Sept →
anubis13–100.0714%6 Sept →
office13–9-0.0627%6 Sept →
office13–5-0.0412%5 Sept →
anubis13–90.0752%27 Aug →
mirage13–100.0629%27 Aug →
inferno13–40.1215%26 Aug →
mirage13–8-0.028%26 Aug →
ancient13–110.0125%24 Aug →
ancient5–13-0.048%24 Aug →
vertigo7–13-0.0314%24 Aug →
dust213–16-0.015%11 Aug →
mirage13–11-0.047%9 Aug →
nuke13–7-0.0412%9 Aug →
dust21–13-0.0932%9 Aug →
anubis13–110.0315%9 Aug →
anubis9–13-0.038%9 Aug →
mirage13–100.009%9 Aug →
mirage10–130.0315%9 Aug →
inferno13–80.0615%8 Aug →
nuke25–28-0.0011%8 Aug →
anubis19–160.059%7 Aug →
dust210–13-0.0018%7 Aug →
mirage14–16-0.0415%7 Aug →
vertigo6–130.039%4 Aug →
vertigo11–13-0.0718%4 Aug →
mirage13–60.1222%2 Aug →
mirage8–13-0.0624%2 Aug →
ancient20–22-0.0113%2 Aug →
mirage13–60.0117%1 Aug →
mirage10–13-0.0211%1 Aug →
anubis13–60.0111%1 Aug →
mirage13–80.0021%30 Jul →
nuke13–7-0.0417%29 Jul →
ancient17–190.0611%29 Jul →
nuke13–80.0920%28 Jul →
nuke11–13-0.0621%28 Jul →
anubis13–60.019%27 Jul →
anubis4–13-0.068%27 Jul →
nuke10–130.0528%20 Jul →
dust213–6-0.0223%15 Jul →
cache13–100.0913%13 Jul →
shelter8–130.0413%12 Jul →
shelter13–4-0.019%12 Jul →
ancient13–110.108%12 Jul →
nuke13–9-0.0110%12 Jul →
dust213–10-0.0221%11 Jul →
ancient12–16-0.0710%11 Jul →
cache9–13-0.0238%11 Jul →
nuke13–80.0228%10 Jul →
cache8–13-0.0120%10 Jul →
inferno13–160.0033%5 Jul →
ancient16–12-0.019%29 Jun →
nuke13–00.000%29 Jun →
ancient13–60.0921%29 Jun →
nuke6–13-0.036%29 Jun →
nuke13–20.0012%29 Jun →
mirage13–80.0424%29 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches10-Win Streak
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.