Zecki

Zecki — CS2 Stats

76561198373332140[U:1:413066412]Steam profile ↗✓ No bans

1,302Tracked matches48%Win rate2021Tracked since
CSDB Rating5.9 SolidPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,302
+3.5ppWin rate · 44.8% → 48.3%

Rating over time

Premier CS Rating: 11,700 +2,174 23 Apr – 28 Jun · 30 days played
9,52613,797peak 13,79723 Apr28 Jun
13,989Peak Premier in tracked matches
49Days played since 2026-04-21

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

Performance scores

Aim64
Positioning59
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateWLWWLWLLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.2pp headshot accuracy · −70ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 619ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 642ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 677ms

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 (+1.7 against its own average).

Aim6.4
Utility4.4
Positioning5.9
Opening Duels5.5
Clutch1.0

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

donk

Plays most like donk 91% 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

Areas to improve

Reaction time. 679ms 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

Aim6.4
Positioning5.9
Utility4.4
Mechanics8.0
Opening Duels5.2
Win Impact4.4

Composite 5.9/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time691ms+18ms
first ⅓ avg 673ms → last ⅓ avg 691ms
Headshot accuracy19.1%+3.1%
first ⅓ avg 16.0% → last ⅓ avg 19.1%

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

0.18Best match rating · 13–1 · overpass, 28 Apr →
38%Best headshot accuracy · 13–2 · inferno, 10 May →
484msFastest reaction time · 11–13 · anubis, 19 Jul →
13–1Biggest win · overpass, 28 Apr →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 67% over 15anubisWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA2212–1055%0.03
ancientC167–944%0.00
nukeS1510–567%0.01
anubisC145–936%-0.01
cacheB126–650%0.00
infernoB84–450%-0.00
dust2A53–260%0.01
overpassC52–340%0.00
train—21–150%-0.03
office—10–10%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

141Matches
44%Win rate
1.18Avg K/D
79.1ADR
36%Headshot %

Clutches & streaks

25%1v1 clutch win
33%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient729%0.8312.7
Inferno520%0.8710.4
Dust2450%1.0013.5
Anubis425%0.7512.5
Mirage30%0.609.3
Nuke250%1.3624.0
Thera1100%1.4227.0
Breach 3.010%0.649.0

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.

19.9%Headshot accuracy
34.2%Accuracy (enemy spotted)
32.0%Spray accuracy
85.8%Counter-strafing
9.7°Preaim
679msReaction time
51.0%T opening success
50.3%CT opening success
0.43Enemies flashed / flash
8.6%Flash assists
8.17HE damage / grenade
9.94Flashes / 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 0.4301 — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0125%12 Sept →
anubis1–13-0.0518%26 Aug →
mirage13–110.0114%13 Aug →
cache13–7-0.0013%4 Aug →
cache14–160.0527%27 Jul →
nuke13–60.0824%24 Jul →
nuke6–13-0.0224%21 Jul →
ancient6–130.0015%21 Jul →
ancient13–50.0321%20 Jul →
anubis11–13-0.0023%19 Jul →
cache13–100.0823%19 Jul →
cache4–13-0.0518%14 Jul →
ancient15–150.0213%13 Jul →
cache13–10-0.0230%13 Jul →
cache13–7-0.0416%12 Jul →
nuke13–6-0.0820%9 Jul →
nuke13–100.0125%6 Jul →
cache7–13-0.0317%6 Jul →
mirage13–100.1017%28 Jun →
inferno8–13-0.0123%25 Jun →
mirage13–50.1114%25 Jun →
office4–130.0611%22 Jun →
cache13–110.0421%22 Jun →
ancient7–130.0415%22 Jun →
mirage7–130.0221%21 Jun →
dust25–130.0523%21 Jun →
mirage11–13-0.0417%16 Jun →
nuke13–70.0223%15 Jun →
ancient10–13-0.0223%14 Jun →
overpass2–13-0.0323%14 Jun →
ancient9–13-0.0113%11 Jun →
inferno7–13-0.0322%11 Jun →
mirage0–13-0.100%11 Jun →
overpass13–7-0.0517%10 Jun →
nuke10–13-0.039%9 Jun →
cache10–13-0.0317%4 Jun →
anubis1–13-0.0817%3 Jun →
cache6–12-0.0215%3 Jun →
mirage11–13-0.0716%3 Jun →
nuke13–100.1010%2 Jun →
dust27–130.037%2 Jun →
ancient13–7-0.029%1 Jun →
overpass2–13-0.0629%31 May →
anubis9–130.0114%22 May →
mirage9–130.0529%21 May →
anubis13–60.1029%21 May →
anubis13–8-0.0018%21 May →
nuke8–130.0315%21 May →
mirage13–30.0623%14 May →
nuke13–4-0.0033%14 May →
nuke10–130.0211%14 May →
inferno13–100.0515%13 May →
nuke15–15-0.0212%13 May →
mirage13–70.1222%12 May →
ancient16–140.0322%12 May →
mirage13–90.0118%12 May →
ancient13–9-0.0311%11 May →
inferno13–80.0330%11 May →
nuke13–80.0522%11 May →
mirage13–100.0719%11 May →
inferno13–20.0738%10 May →
dust213–2-0.0235%10 May →
inferno0–9-0.0313%8 May →
anubis2–13-0.0914%8 May →
anubis6–6-0.013%8 May →
cache7–130.0513%7 May →
mirage13–110.0811%7 May →
mirage4–13-0.0326%6 May →
ancient7–13-0.0218%5 May →
mirage15–150.0511%5 May →
ancient13–4-0.0112%5 May →
mirage2–90.0327%5 May →
overpass11–13-0.0415%5 May →
mirage13–70.0925%5 May →
anubis11–130.0121%3 May →
mirage4–130.0210%3 May →
anubis15–150.0313%2 May →
dust213–10-0.0126%2 May →
ancient3–13-0.070%30 Apr →
cache12–120.0215%29 Apr →
mirage13–8-0.0513%28 Apr →
overpass13–10.1811%28 Apr →
mirage13–50.0317%28 Apr →
ancient14–160.0318%27 Apr →
inferno16–13-0.049%27 Apr →
anubis13–110.0216%27 Apr →
nuke13–6-0.0318%27 Apr →
anubis15–15-0.039%27 Apr →
ancient10–130.0317%23 Apr →
anubis10–13-0.0311%23 Apr →
nuke13–11-0.0214%23 Apr →
mirage13–8-0.0217%23 Apr →
ancient13–60.1510%23 Apr →
mirage5–130.0630%22 Apr →
train9–13-0.0223%22 Apr →
train13–3-0.0419%22 Apr →
ancient13–5-0.107%21 Apr →
nuke13–7-0.0117%21 Apr →
anubis13–20.0119%21 Apr →
inferno6–13-0.0518%21 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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