eka

eka — CS2 Stats

SE76561197962670666[U:1:2404938]Steam profile ↗✓ No bans

354Tracked matches50%Win rate2023Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating11,421Blue band · top ~47.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (14 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: 11,421 -1,946 27 Feb – 30 Sept · 24 days played
9,56214,157peak 14,15727 Feb30 Sept
14,157Peak Premier in tracked matches
46Days played since 2026-02-27

Premier CS Rating

  • 2,736 below peak (14,157)
  • +287 over 30 days · steady
  • +1,859 over 90 days
  • Next: Purple band at 15,000 — 3,579 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGekaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER11,421 · Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning44
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY40–57–3Last 10040%Win rateWLLWWWLLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −3.3pp headshot accuracy · −46ms 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 12%
  • Avg reaction 522ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 528ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 551ms

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

Aim5.4
Utility6.9
Positioning4.4
Opening Duels0.0
Clutch3.4

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 68% 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. 563ms 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

Aim5.4
Positioning4.4
Utility6.9
Mechanics4.5
Opening Duels0.5
Win Impact5.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time569ms−33ms
first ⅓ avg 602ms → last ⅓ avg 569ms
Headshot accuracy15.6%+2.9%
first ⅓ avg 12.7% → last ⅓ avg 15.6%

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 · 13–5 · mirage, 19 Jul →
39%Best headshot accuracy · 4–13 · vertigo, 19 Sept →
406msFastest reaction time · 7–13 · mirage, 4 Sept →
13–0Biggest win · inferno, 21 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
8–10In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 50% over 16anubisWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B199–1047%-0.02
infernoC176–1135%-0.01
ancientB168–850%0.01
anubisD153–1220%-0.02
mirageC104–640%-0.01
nukeC94–544%-0.01
cacheB63–350%0.02
vertigo—31–233%-0.07
overpass—31–233%-0.02
train—21–150%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

58Matches
45%Win rate
0.97Avg K/D
69.3ADR
35%Headshot %

Clutches & streaks

37%1v1 clutch win
27%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient1450%1.1116.1
Inferno1050%0.9813.2
Anubis1060%1.0413.6
Cache650%0.8512.7
Nuke633%0.5910.7
Dust2540%1.1710.8
Mirage520%0.9313.4
Overpass10%0.5614.0

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.

15.4%Headshot accuracy
33.4%Accuracy (enemy spotted)
37.5%Spray accuracy
70.4%Counter-strafing
11.8°Preaim
563msReaction time
25.5%T opening success
34.1%CT opening success
0.61Enemies flashed / flash
5.7%Flash assists
8.84HE damage / grenade
16.15Flashes / 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. 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 25.5149% — below the 40% mark we flag

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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–80.0314%8 Oct →
nuke6–13-0.0510%8 Oct →
ancient17–190.0212%8 Oct →
inferno13–8-0.0113%8 Oct →
anubis16–130.0110%6 Oct →
ancient13–90.0128%6 Oct →
anubis6–13-0.022%4 Oct →
inferno3–13-0.0631%4 Oct →
ancient10–130.0216%1 Oct →
ancient7–13-0.0315%30 Sept →
cache8–130.0016%29 Sept →
dust29–13-0.0610%28 Sept →
dust213–9-0.0221%19 Sept →
vertigo4–13-0.1039%19 Sept →
inferno9–13-0.0318%18 Sept →
vertigo13–8-0.0324%18 Sept →
nuke5–130.0912%17 Sept →
nuke13–11-0.0411%16 Sept →
anubis13–80.0517%16 Sept →
ancient13–110.0917%16 Sept →
inferno6–13-0.0416%10 Sept →
dust213–5-0.0329%10 Sept →
mirage13–40.016%10 Sept →
ancient13–50.019%8 Sept →
mirage5–13-0.076%8 Sept →
dust213–70.0112%7 Sept →
dust25–13-0.097%7 Sept →
dust213–10-0.0215%7 Sept →
cache13–5-0.018%5 Sept →
anubis11–13-0.0121%5 Sept →
ancient10–13-0.0628%5 Sept →
mirage7–13-0.0411%4 Sept →
nuke12–16-0.0310%4 Sept →
inferno10–13-0.022%4 Sept →
dust214–16-0.0213%3 Sept →
train13–100.0113%3 Sept →
dust213–11-0.0311%3 Sept →
nuke13–11-0.0116%2 Sept →
mirage14–16-0.0314%2 Sept →
vertigo15–19-0.0711%2 Sept →
inferno11–13-0.019%29 Aug →
nuke13–7-0.025%29 Aug →
dust213–110.0414%29 Aug →
ancient6–13-0.0510%24 Aug →
anubis13–70.009%24 Aug →
cache6–13-0.0115%24 Aug →
inferno13–30.0623%24 Aug →
mirage13–110.0223%21 Aug →
dust212–16-0.0427%19 Aug →
ancient13–100.0114%12 Aug →
train5–13-0.0314%11 Aug →
cache13–40.067%11 Aug →
ancient10–130.0315%11 Aug →
anubis10–130.0312%24 Jul →
nuke16–13-0.0112%23 Jul →
dust213–40.0115%23 Jul →
anubis11–130.0115%23 Jul →
inferno13–00.0512%21 Jul →
anubis13–16-0.058%19 Jul →
mirage13–50.1010%19 Jul →
dust27–13-0.0111%19 Jul →
mirage11–13-0.049%18 Jul →
inferno13–110.0014%18 Jul →
dust27–13-0.0516%18 Jul →
dust215–15-0.0220%14 Jul →
cache13–80.0520%14 Jul →
anubis4–13-0.0610%14 Jul →
inferno16–140.0213%12 Jul →
anubis7–13-0.0213%12 Jul →
ancient13–100.049%12 Jul →
ancient2–13-0.0819%12 Jul →
overpass13–70.035%27 Jun →
cache10–130.0112%27 May →
dust25–13-0.0113%20 May →
overpass5–13-0.0210%20 May →
inferno10–13-0.0111%20 May →
inferno10–130.0613%14 May →
dust29–13-0.0222%14 May →
inferno7–13-0.0419%29 Apr →
anubis1–13-0.0515%29 Apr →
dust215–150.029%29 Apr →
mirage12–160.0414%26 Apr →
overpass5–13-0.079%12 Apr →
anubis12–16-0.0511%12 Apr →
mirage4–13-0.0816%9 Apr →
ancient13–70.059%9 Apr →
ancient13–70.0611%6 Apr →
anubis11–13-0.0114%6 Apr →
anubis10–13-0.0721%27 Mar →
inferno11–13-0.0311%27 Mar →
ancient4–130.0113%27 Mar →
nuke9–130.027%20 Mar →
inferno11–13-0.019%19 Mar →
nuke15–15-0.039%16 Mar →
dust216–13-0.0120%16 Mar →
mirage13–9-0.0616%16 Mar →
inferno7–13-0.025%4 Mar →
anubis10–13-0.077%27 Feb →
ancient13–3-0.0122%27 Feb →
inferno13–8-0.0410%27 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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