ceko/tim

ceko/tim — CS2 Stats

76561198032693103[U:1:72427375]Steam profile ↗✓ No bans

1,984Tracked matches63%Win rate2020Tracked since
CSDB Rating6.8 SolidAll-Rounder
Premier CS Rating18,879Top 50% of 201,122 CSDB-tracked playersPurple band · top ~13% of ranked players (population est.)
CSDB Leaderboard#95744 of 247940 tracked
FaceitLevel 7 · 1,480 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). 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: 18,879 +618 25 Aug – 1 Oct · 24 days played
15,97818,879peak 18,87925 Aug1 Oct
Faceit ELO: 1,480 +0 1 Sept – 27 Sept · 4 observations
1,4801,480peak 1,4801 Sept27 Sept
18,879Peak Premier in tracked matches
1,480Highest Faceit ELO seen on CSDB
22Days played since 2026-08-25

Faceit ELO

  • At peak — 1,480
  • 0 over 30 days · steady
  • Next: Level 8 at 1,531 — 51 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-01
  • Level 6 first seen 2026-09-01

Premier CS Rating

  • At peak — 18,879
  • +1,072 over 30 days · improving
  • Next: Pink band at 20,000 — 1,121 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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.

Share this profile

CSDB.GGceko/timFACEITLevel 7 · 1,480 ELOSTANDINGTop 42.3% of rankedPREMIER18,879 · Purple band30 DAYS0 ELOPEAK ELO1,480csdb.gg/stats

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Performance scores

Aim63
Positioning70
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWWLLWLWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +4.7pp headshot accuracy · −9ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 16%
  • Avg reaction 531ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 545ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 549ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.3
Utility5.9
Positioning7.0
Opening Duels7.0
Clutch5.2

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

donk

Plays most like donk 79% 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

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 553ms 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

Aim6.3
Positioning7.0
Utility5.9
Mechanics5.9
Opening Duels7.8
Win Impact9.4

Composite 6.8/10 (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 rating0.03+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time560ms+22ms
first ⅓ avg 539ms → last ⅓ avg 560ms
Headshot accuracy14.4%−0.4%
first ⅓ avg 14.8% → last ⅓ avg 14.4%

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

0.16Best match rating · 13–8 · vertigo, 25 Sept →
33%Best headshot accuracy · 13–8 · nuke, 1 Oct →
375msFastest reaction time · 6–13 · dust2, 14 Sept →
13–2Biggest win · anubis, 26 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
9–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 59% over 17nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
ancientB189–950%0.01
dust2A1710–759%0.02
infernoB168–850%0.01
anubisB136–746%0.04
mirageB136–746%0.02
cacheB126–650%0.00
nukeD93–633%0.03
train—11–0100%0.00
vertigo—11–0100%0.16

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

330Matches
53%Win rate
1.30Avg K/D
98.9ADR
41%Headshot %

Clutches & streaks

46%1v1 clutch win
37%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4344%1.1618.1
Mirage4156%1.2518.8
Dust23839%1.3520.8
Nuke2966%1.3919.4
Ancient2348%1.1418.6
Anubis2232%1.1718.8
Vertigo933%1.0918.1
Train786%1.5819.4

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.

13.9%Headshot accuracy
33.9%Accuracy (enemy spotted)
32.0%Spray accuracy
76.7%Counter-strafing
9.0°Preaim
553msReaction time
56.2%T opening success
65.9%CT opening success
0.62Enemies flashed / flash
10.7%Flash assists
11.41HE damage / grenade
5.88Flashes / 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 13.9102% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–110.0812%1 Oct →
anubis13–90.0614%1 Oct →
nuke13–80.1433%1 Oct →
mirage10–130.0112%30 Sept →
ancient12–160.0010%29 Sept →
inferno13–110.0221%29 Sept →
mirage10–13-0.0811%28 Sept →
mirage13–70.0515%28 Sept →
cache6–13-0.0227%28 Sept →
dust29–13-0.0617%27 Sept →
dust213–80.018%27 Sept →
mirage13–70.019%27 Sept →
cache13–40.0910%27 Sept →
mirage13–9-0.0213%27 Sept →
ancient13–70.0810%27 Sept →
mirage8–130.0718%27 Sept →
inferno13–70.0112%27 Sept →
inferno3–9-0.0725%27 Sept →
cache10–130.069%26 Sept →
ancient13–40.0412%26 Sept →
anubis13–20.119%26 Sept →
ancient13–3-0.0116%26 Sept →
mirage13–80.0111%26 Sept →
inferno8–13-0.0612%26 Sept →
cache13–50.0112%26 Sept →
inferno8–13-0.0312%26 Sept →
ancient13–40.0320%26 Sept →
train13–40.0012%25 Sept →
vertigo13–80.1614%25 Sept →
cache6–130.0111%25 Sept →
anubis8–130.0414%25 Sept →
anubis13–50.1217%25 Sept →
mirage11–130.1217%25 Sept →
dust210–130.0516%25 Sept →
cache13–11-0.0111%24 Sept →
dust213–90.0514%24 Sept →
cache13–7-0.0217%24 Sept →
dust213–100.0223%24 Sept →
dust213–50.1021%23 Sept →
inferno13–11-0.0114%23 Sept →
ancient10–13-0.0218%23 Sept →
nuke6–13-0.0316%23 Sept →
mirage11–130.0715%22 Sept →
dust213–110.0912%22 Sept →
ancient13–100.0316%22 Sept →
inferno7–13-0.0314%22 Sept →
ancient8–130.0623%21 Sept →
anubis13–70.038%21 Sept →
inferno13–70.0719%21 Sept →
anubis6–13-0.0212%20 Sept →
nuke15–150.025%20 Sept →
inferno10–13-0.0319%20 Sept →
mirage9–13-0.0210%20 Sept →
anubis8–130.0519%20 Sept →
dust211–130.0419%19 Sept →
nuke13–4-0.0112%19 Sept →
ancient1–13-0.0624%19 Sept →
dust213–10-0.0922%19 Sept →
cache13–9-0.0117%19 Sept →
dust28–13-0.0023%19 Sept →
mirage13–90.0415%19 Sept →
inferno16–130.1016%19 Sept →
ancient8–130.0418%19 Sept →
anubis10–130.0419%18 Sept →
inferno13–30.1020%18 Sept →
ancient13–4-0.0120%17 Sept →
nuke14–160.0318%17 Sept →
dust213–30.0426%17 Sept →
cache3–13-0.0413%17 Sept →
inferno13–5-0.0212%17 Sept →
anubis8–13-0.0517%17 Sept →
dust22–130.0124%15 Sept →
nuke4–13-0.0113%15 Sept →
dust216–12-0.027%15 Sept →
nuke15–150.0416%14 Sept →
ancient8–13-0.0317%14 Sept →
anubis13–110.0219%14 Sept →
dust26–13-0.0729%14 Sept →
ancient13–20.077%30 Aug →
anubis13–60.0315%30 Aug →
ancient13–2-0.042%30 Aug →
cache9–13-0.0611%30 Aug →
dust213–90.0512%30 Aug →
inferno4–130.0723%30 Aug →
ancient4–13-0.0311%30 Aug →
ancient14–16-0.0316%29 Aug →
mirage8–13-0.0612%29 Aug →
mirage13–40.0113%29 Aug →
ancient13–8-0.0112%29 Aug →
ancient10–130.0113%29 Aug →
dust28–13-0.0113%29 Aug →
cache15–150.0116%29 Aug →
anubis11–13-0.0113%28 Aug →
nuke16–140.0314%28 Aug →
inferno10–13-0.0323%26 Aug →
nuke6–130.0318%26 Aug →
cache13–110.0210%26 Aug →
inferno13–110.0414%26 Aug →
anubis9–130.0518%26 Aug →
inferno11–13-0.047%25 Aug →

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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