zamu

zamu — CS2 Stats

76561198065867549[U:1:105601821]Steam profile ↗✓ No bans

1,181Tracked matches52%Win rate2020Tracked since
3,406Hours in CS8Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating17,277Purple band · top ~19.3% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (9 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: 17,277 -6,966 22 Nov – 6 Oct · 19 days played
14,64524,999peak 24,99922 Nov6 Oct
24,999Peak Premier in tracked matches
28Days played since 2025-11-22

Premier CS Rating

  • 7,722 below peak (24,999)
  • -312 over 30 days · steady
  • Next: Pink band at 20,000 — 2,723 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-22

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 6 among CSDB-tracked players (n=13,110), 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 6 medianLevel 7 medianvs Level 7
Headshot rate46.3%44.8%45.7%meets
Shot accuracy15.1%12.4%12.7%above
Kill/death ratio1.001.031.050.05 short
Match win rate38.5%45.2%45.7%7.2% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGzamuFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,277 · Purple 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

Aim59
Positioning52
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateWLLTWLWWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · −12ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 561ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 571ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 577ms

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).

Aim5.9
Utility4.9
Positioning5.2
Opening Duels2.6
Clutch0.0

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 564ms 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

Aim5.9
Positioning5.2
Utility4.9
Mechanics5.8
Opening Duels3.7
Win Impact5.6

Composite 5.3/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time585ms−41ms
first ⅓ avg 626ms → last ⅓ avg 585ms
Headshot accuracy19.9%+1.9%
first ⅓ avg 18.0% → last ⅓ avg 19.9%

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

0.10Best match rating · 13–4 · nuke, 13 Feb →
47%Best headshot accuracy · 13–7 · dust2, 4 Oct →
422msFastest reaction time · 7–13 · inferno, 16 Sept →
13–0Biggest win · nuke, 14 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 62% over 21anubisWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2113–862%-0.01
ancientB2111–1052%0.01
anubisD124–833%-0.00
mirageC114–736%-0.02
nukeC104–640%0.00
overpassC104–640%0.01
cacheC83–538%-0.03
dust2D62–433%-0.02
train—10–10%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

132,004Lifetime kills
1.00K/D
5,777Matches
38.5%Match win rate
46.3%Headshot % · Top 50% of Level 6 players
15.1%Shot accuracy · Top 50% of Level 6 players
10,718MVPs
2,308Hours (in match)
6,763Bombs planted
1,272Bombs defused

Most-used weapons

AK-4742,745
AWP22,376
P2503,027
FAMAS1,659

Lifetime map wins

8,717inferno
2,872train
2,397dust2
2,374nuke
1,923cbble
689vertigo
146lake
84ar_shoots

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

Faceit stats

Combat

51Matches
59%Win rate
0.96Avg K/D
71.7ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno250%1.0414.5
Anubis250%1.3617.0
Ancient10%0.326.0
Mirage1100%0.8113.0
Vertigo10%0.509.0

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.

20.0%Headshot accuracy
30.2%Accuracy (enemy spotted)
30.3%Spray accuracy
76.1%Counter-strafing
9.9°Preaim
564msReaction time
46.4%T opening success
43.2%CT opening success
0.49Enemies flashed / flash
5.9%Flash assists
9.00HE damage / grenade
6.61Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4873 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–110.0125%6 Oct →
cache5–13-0.0319%6 Oct →
dust29–13-0.0418%6 Oct →
inferno15–150.0010%4 Oct →
nuke13–30.0022%4 Oct →
ancient10–13-0.0211%4 Oct →
dust213–70.0447%4 Oct →
mirage13–7-0.089%4 Oct →
ancient14–16-0.0219%3 Oct →
inferno13–3-0.0326%3 Oct →
mirage11–13-0.0420%3 Oct →
anubis3–13-0.1020%3 Oct →
cache13–11-0.0413%26 Sept →
dust25–13-0.0634%16 Sept →
ancient12–160.0527%16 Sept →
inferno7–130.0518%16 Sept →
mirage3–13-0.0319%16 Sept →
nuke9–130.0020%11 Sept →
ancient13–90.0117%11 Sept →
anubis16–120.0513%11 Sept →
ancient9–13-0.0315%11 Sept →
inferno13–9-0.0033%5 Sept →
anubis11–130.0118%5 Sept →
inferno13–90.0028%5 Sept →
cache13–7-0.0614%29 Aug →
inferno16–12-0.0011%29 Aug →
nuke6–13-0.0617%29 Aug →
ancient13–11-0.0024%29 Aug →
anubis13–5-0.0423%8 Aug →
inferno13–20.0421%8 Aug →
ancient9–13-0.0119%8 Aug →
cache9–130.0219%16 Jul →
mirage13–70.018%16 Jul →
mirage16–130.0218%16 Jun →
ancient12–16-0.0023%16 Jun →
anubis6–13-0.0422%17 May →
ancient5–13-0.0414%17 May →
inferno13–80.0429%17 May →
cache12–12-0.0119%1 May →
cache3–13-0.0425%1 May →
cache3–13-0.0623%1 May →
cache13–9-0.0019%1 May →
overpass15–150.004%13 Apr →
anubis9–130.0519%13 Apr →
inferno6–13-0.070%13 Apr →
mirage9–13-0.0317%13 Apr →
inferno6–13-0.0638%14 Mar →
nuke13–00.0810%14 Mar →
mirage13–160.0215%14 Mar →
ancient4–13-0.0314%22 Feb →
mirage7–13-0.0413%22 Feb →
nuke4–13-0.086%22 Feb →
inferno13–100.0212%22 Feb →
nuke5–13-0.015%22 Feb →
ancient13–80.0726%21 Feb →
overpass11–13-0.0814%21 Feb →
ancient2–13-0.0518%21 Feb →
inferno11–13-0.0314%15 Feb →
dust213–5-0.0110%15 Feb →
inferno13–30.0130%15 Feb →
overpass13–60.0823%15 Feb →
anubis15–15-0.0312%15 Feb →
mirage8–13-0.0614%15 Feb →
nuke13–110.0216%15 Feb →
ancient13–60.0213%15 Feb →
overpass8–130.0511%13 Feb →
dust210–13-0.0218%13 Feb →
overpass13–4-0.0214%13 Feb →
ancient13–80.0113%13 Feb →
anubis13–40.0416%13 Feb →
nuke13–40.1020%13 Feb →
inferno13–9-0.0331%13 Feb →
anubis9–130.0014%13 Feb →
mirage13–16-0.0717%13 Feb →
overpass8–130.0226%13 Feb →
ancient13–70.0820%13 Feb →
ancient13–90.0426%13 Feb →
inferno13–70.0211%26 Jan →
overpass4–13-0.0220%24 Jan →
anubis4–13-0.006%24 Jan →
dust210–13-0.0214%24 Jan →
anubis13–16-0.0123%22 Jan →
inferno13–8-0.0118%22 Jan →
ancient8–13-0.0312%22 Jan →
ancient13–60.0118%19 Jan →
overpass13–50.0423%7 Jan →
inferno8–13-0.067%4 Jan →
mirage16–140.0419%4 Jan →
nuke15–15-0.0017%4 Jan →
inferno11–13-0.0220%3 Jan →
nuke15–15-0.0118%3 Jan →
ancient13–30.0721%3 Jan →
ancient13–30.0022%3 Jan →
overpass10–13-0.019%3 Jan →
inferno13–5-0.0117%2 Jan →
train7–130.0222%2 Jan →
ancient13–100.0118%2 Jan →
inferno11–13-0.0426%2 Jan →
inferno13–100.0128%22 Nov →
overpass13–5-0.0310%22 Nov →

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 →

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