Zaza

Zaza — CS2 Stats

AL76561199075079179[U:1:1114813451]Steam profile ↗✓ No bans

1,449Tracked matches50%Win rate2022Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating23,758Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)
CSDB Leaderboard#35504 of 261592 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,449 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,758 +4,592 30 Jul – 4 Nov · 26 days played
19,16625,376peak 25,37630 Jul4 Nov
25,376Peak Premier in tracked matches
26Days played since 2026-07-30

Premier CS Rating

  • 1,618 below peak (25,376)
  • +3,636 over 90 days
  • Next: Red band at 25,000 — 1,242 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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

Share this profile

CSDB.GGZazaPREMIER23,758 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning55
Utility44

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateLLLLLWWWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.8pp headshot accuracy · +19ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 32%
  • Avg reaction 510ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 25%
  • Avg reaction 515ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 506ms

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 (+1.1 against its own average).

Aim8.1
Utility4.4
Positioning5.5
Opening Duels3.4

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.1
Positioning5.5
Utility4.4
Mechanics5.4
Opening Duels4.1
Win Impact5.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.06
first ⅓ avg 0.02 → last ⅓ avg -0.03
Reaction time506ms−7ms
first ⅓ avg 513ms → last ⅓ avg 506ms
Headshot accuracy24.4%−1.3%
first ⅓ avg 25.7% → last ⅓ avg 24.4%

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

0.20Best match rating · 13–9 · dust2, 30 Jul →
67%Best headshot accuracy · 13–8 · inferno, 2 Sept →
328msFastest reaction time · 0–13 · dust2, 19 Aug →
13–0Biggest win · inferno, 13 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
10–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 83% over 6ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%-0.01
mirageB168–850%0.01
infernoA169–756%-0.01
anubisA169–756%0.00
nukeB137–654%-0.02
ancientC73–443%0.01
cacheS65–183%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.6%Headshot accuracy
31.9%Accuracy (enemy spotted)
32.3%Spray accuracy
74.5%Counter-strafing
7.1°Preaim
506msReaction time
41.6%T opening success
51.4%CT opening success
0.65Enemies flashed / flash
3.9%Flash assists
9.94HE damage / grenade
6.10Flashes / match

Recommended for you

Spend your practice time on Ancient

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0715%16 Sept →
ancient10–130.0138%16 Sept →
dust27–13-0.0032%16 Sept →
inferno9–13-0.0431%15 Sept →
dust210–13-0.1143%15 Sept →
nuke16–12-0.0218%14 Sept →
anubis13–10-0.0720%14 Sept →
inferno13–9-0.0722%13 Sept →
inferno3–13-0.078%13 Sept →
nuke3–13-0.1222%13 Sept →
dust22–13-0.0740%13 Sept →
ancient13–11-0.0520%13 Sept →
mirage13–11-0.0421%13 Sept →
dust22–13-0.0717%13 Sept →
cache13–11-0.0322%13 Sept →
inferno13–00.0225%13 Sept →
mirage3–130.0022%13 Sept →
nuke13–10-0.0025%13 Sept →
anubis4–13-0.1020%10 Sept →
inferno0–9-0.130%9 Sept →
ancient13–30.0212%6 Sept →
inferno13–90.0411%6 Sept →
nuke13–7-0.0743%6 Sept →
dust213–8-0.0636%6 Sept →
mirage11–130.0212%5 Sept →
mirage13–9-0.0438%5 Sept →
nuke5–130.0032%5 Sept →
nuke10–130.0130%4 Sept →
nuke9–130.0129%4 Sept →
dust213–90.0321%4 Sept →
anubis13–110.0536%4 Sept →
inferno10–130.0331%3 Sept →
nuke13–11-0.0813%3 Sept →
dust27–130.0343%3 Sept →
dust213–5-0.0617%2 Sept →
dust28–13-0.0231%2 Sept →
inferno13–80.0167%2 Sept →
ancient15–150.0318%1 Sept →
dust213–11-0.0118%1 Sept →
cache13–6-0.089%1 Sept →
ancient6–13-0.0116%1 Sept →
anubis14–16-0.0140%31 Aug →
anubis16–130.0821%31 Aug →
mirage13–8-0.0419%31 Aug →
inferno7–130.0526%30 Aug →
anubis2–13-0.0919%30 Aug →
cache15–15-0.0122%30 Aug →
anubis13–90.1127%30 Aug →
inferno5–13-0.0229%30 Aug →
ancient13–30.0326%30 Aug →
dust213–9-0.0417%24 Aug →
dust213–90.0241%24 Aug →
mirage10–130.1021%24 Aug →
dust23–13-0.0423%24 Aug →
mirage14–160.0319%23 Aug →
mirage11–130.0121%23 Aug →
dust215–150.0125%23 Aug →
dust213–11-0.0430%23 Aug →
dust213–11-0.0414%23 Aug →
mirage6–13-0.0431%23 Aug →
dust213–30.0113%23 Aug →
cache13–1-0.0016%22 Aug →
inferno13–60.0829%22 Aug →
nuke13–100.0229%22 Aug →
inferno8–13-0.0716%22 Aug →
anubis10–13-0.0624%22 Aug →
cache13–60.0816%21 Aug →
mirage13–80.0719%20 Aug →
ancient5–130.0519%20 Aug →
dust213–60.0232%20 Aug →
anubis15–15-0.0515%20 Aug →
nuke2–13-0.0420%20 Aug →
anubis11–13-0.0629%20 Aug →
inferno13–9-0.030%19 Aug →
mirage13–10-0.050%19 Aug →
dust20–13-0.0250%19 Aug →
mirage13–70.0639%19 Aug →
cache13–60.1028%19 Aug →
dust28–130.0831%19 Aug →
nuke13–110.0243%19 Aug →
anubis13–80.0422%18 Aug →
inferno13–3-0.0027%18 Aug →
mirage13–40.0822%18 Aug →
mirage13–60.0016%18 Aug →
dust25–130.0315%18 Aug →
dust216–140.0326%17 Aug →
dust25–13-0.0610%16 Aug →
dust213–10-0.0333%2 Aug →
anubis13–70.0523%2 Aug →
dust211–130.0325%2 Aug →
inferno13–100.0219%31 Jul →
mirage11–130.0643%31 Jul →
anubis13–90.0138%31 Jul →
nuke13–60.0354%31 Jul →
anubis13–100.0824%31 Jul →
dust213–90.2032%30 Jul →
anubis6–130.0019%30 Jul →
inferno13–70.0522%30 Jul →
nuke9–13-0.0821%30 Jul →
anubis13–70.0735%30 Jul →

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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