Zaida

Zaida — CS2 Stats

76561198343286481[U:1:383020753]Steam profile ↗✓ No bans

1,313Tracked matches46%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

+12Tracked matches · now 1,313
−5.4ppWin rate · 51.8% → 46.4%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 20 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

35Days played since 2026-03-20

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGZaidaFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim45
Positioning32
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY454411Last 10045%Win rateWLLWWLLLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.8pp headshot accuracy · −27ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 614ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 561ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 575ms

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: SupportUtility contribution stands above the rest of this profile (+3.2 against its own average).

Aim4.5
Utility5.3
Positioning3.2
Opening Duels0.0
Clutch0.0

Effective flashesLimited 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 78% 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

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 590ms 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

Aim4.5
Positioning3.2
Utility5.3
Mechanics5.1
Opening Duels0.0
Win Impact3.8

Composite 3.9/10 (Learning), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time587ms−73ms
first ⅓ avg 660ms → last ⅓ avg 587ms
Headshot accuracy10.1%+1.1%
first ⅓ avg 9.0% → last ⅓ avg 10.1%

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

0.13Best match rating · 13–1 · mirage, 14 Apr
40%Best headshot accuracy · 13–2 · inferno, 26 Jul
422msFastest reaction time · 12–12 · inferno, 15 Aug
13–0Biggest win · mirage, 20 Aug

Across the last 100 tracked matches.

Highlights

8Longest win streak
103In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 73% over 11ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA22121055%-0.01
infernoC1761135%-0.02
nukeB136746%-0.03
dust2D124833%-0.03
vertigoS118373%-0.01
cacheC104640%-0.05
ancientD82625%-0.05
anubisD62433%-0.03
train110100%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches
11%Win rate
0.46Avg K/D
46.9ADR
20%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

10.1%Headshot accuracy
30.5%Accuracy (enemy spotted)
30.6%Spray accuracy
72.9%Counter-strafing
8.8°Preaim
590msReaction time
27.7%T opening success
20.9%CT opening success
0.81Enemies flashed / flash
4.8%Flash assists
8.82HE damage / grenade
4.26Flashes / 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. 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 10.1166% — below the 15% mark we flag

    Aim Training
  2. 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 27.6877% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0214%19 Sept
mirage11–13-0.0713%19 Sept
anubis5–13-0.090%19 Sept
nuke13–4-0.059%19 Sept
mirage13–30.0010%16 Sept
inferno11–13-0.0510%16 Sept
nuke10–130.0210%16 Sept
inferno3–13-0.0612%15 Sept
ancient13–5-0.0510%14 Sept
nuke13–60.054%14 Sept
nuke4–13-0.0415%11 Sept
cache8–13-0.0510%11 Sept
ancient9–13-0.073%11 Sept
anubis12–12-0.088%11 Sept
vertigo13–6-0.0410%11 Sept
mirage13–110.0315%20 Aug
mirage8–13-0.048%20 Aug
mirage13–00.0225%20 Aug
inferno13–11-0.017%19 Aug
mirage8–13-0.018%19 Aug
mirage13–8-0.0215%18 Aug
inferno8–13-0.070%18 Aug
inferno12–12-0.019%15 Aug
vertigo5–130.0212%26 Jul
mirage13–110.0513%26 Jul
inferno13–2-0.0140%26 Jul
inferno10–13-0.064%26 Jul
nuke13–3-0.025%28 Jun
dust210–13-0.003%20 Jun
mirage5–13-0.027%20 Jun
inferno13–110.048%17 Jun
mirage6–130.029%17 Jun
nuke8–13-0.049%10 Jun
cache13–11-0.097%10 Jun
nuke13–9-0.0212%4 Jun
ancient9–13-0.014%4 Jun
dust28–13-0.0413%4 Jun
inferno12–12-0.016%4 Jun
nuke13–2-0.0812%4 Jun
inferno6–13-0.0213%31 May
vertigo13–11-0.007%31 May
train13–11-0.055%31 May
anubis13–50.054%31 May
vertigo13–10-0.049%31 May
nuke13–50.0216%31 May
cache13–4-0.030%31 May
vertigo13–20.058%31 May
inferno8–7-0.0711%31 May
nuke11–13-0.088%30 May
mirage5–13-0.029%30 May
vertigo13–100.024%29 May
mirage4–13-0.0818%29 May
ancient13–9-0.094%29 May
nuke12–12-0.026%29 May
anubis13–4-0.013%29 May
inferno7–13-0.0619%28 May
dust27–13-0.0613%28 May
mirage13–80.023%28 May
cache13–11-0.052%18 May
inferno13–3-0.010%18 May
mirage13–110.037%15 May
inferno5–130.0315%15 May
mirage10–4-0.040%15 May
cache3–13-0.1210%15 May
mirage13–70.035%13 May
inferno10–13-0.0126%13 May
dust212–12-0.0212%10 May
mirage6–13-0.0711%10 May
mirage6–13-0.079%8 May
cache13–100.0412%8 May
vertigo13–1-0.0111%8 May
ancient12–12-0.0114%8 May
dust24–13-0.103%8 May
cache5–13-0.045%8 May
cache8–13-0.047%7 May
cache8–13-0.055%6 May
cache12–12-0.053%6 May
dust213–5-0.0018%2 May
nuke1–13-0.050%21 Apr
inferno12–120.029%21 Apr
ancient6–13-0.035%21 Apr
dust28–13-0.047%21 Apr
anubis3–13-0.098%20 Apr
mirage13–70.0121%20 Apr
dust213–100.0315%20 Apr
ancient10–13-0.0511%20 Apr
vertigo13–100.076%20 Apr
ancient4–13-0.053%19 Apr
anubis12–120.029%19 Apr
mirage12–120.0118%14 Apr
dust27–13-0.078%14 Apr
vertigo8–13-0.077%14 Apr
mirage13–10.138%14 Apr
vertigo12–12-0.0517%12 Apr
vertigo13–8-0.001%12 Apr
dust213–100.0315%12 Apr
nuke6–13-0.034%11 Apr
inferno13–3-0.059%11 Apr
dust213–3-0.0011%28 Mar
dust27–13-0.077%20 Mar

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 →