ekuB

ekuB — CS2 Stats

76561198049320666[U:1:89054938]Steam profile ↗✓ No bans

2,257Tracked matches47%Win rate2020Tracked since
4,056Hours in CS11Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
Premier CS Rating20,493Top 50% of 204,316 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)
CSDB Leaderboard#73888 of 251389 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 20,493 → 20,493
+20Tracked matches · now 2,257
−1.6ppWin rate · 48.3% → 46.7%

Rating over time

Premier CS Rating: 20,493 -939 27 Jul – 25 Sept · 11 days played
20,49322,082peak 22,08227 Jul25 Sept
22,082Peak Premier in tracked matches
31Days played since 2026-07-27

Premier CS Rating

  • 1,589 below peak (22,082)
  • -1,129 over 30 days · declining
  • Next: Red band at 25,000 — 4,507 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,879), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate31.9%44.8%45.7%13.8% short
Shot accuracy13.3%12.4%12.7%above
Kill/death ratio0.931.031.050.12 short
Match win rate45.0%45.2%45.7%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGekuBFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER20,493 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim51
Positioning48
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLLLWWLLLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −4.5pp headshot accuracy · +76ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 608ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 596ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 558ms

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 (+1.7 against its own average).

Aim5.1
Utility6.1
Positioning4.8
Opening Duels0.9
Clutch6.0

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

Twistzz

Plays most like Twistzz 74% 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. 560ms 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

Aim5.1
Positioning4.8
Utility6.1
Mechanics4.8
Opening Duels3.6
Win Impact3.9

Composite 5.0/10 (Developing), 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+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time547ms−45ms
first ⅓ avg 592ms → last ⅓ avg 547ms
Headshot accuracy12.8%+1.4%
first ⅓ avg 11.3% → last ⅓ avg 12.8%

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

0.08Best match rating · 13–2 · inferno, 28 Jul →
25%Best headshot accuracy · 3–13 · anubis, 21 Sept →
313msFastest reaction time · 1–13 · inferno, 27 Sept →
13–2Biggest win · cache, 3 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
11–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 60% over 5mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2213–959%-0.02
overpassB147–750%-0.02
anubisB147–750%-0.03
dust2C125–742%-0.04
cacheC104–640%-0.03
vertigoB105–550%-0.04
mirageD81–713%-0.07
nukeA53–260%-0.03
ancient—32–167%-0.02
train—21–150%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,901Lifetime kills
0.93K/D
5,380Matches
45.0%Match win rate
31.9%Headshot %
13.3%Shot accuracy · Top 50% of Level 6 players
9,683MVPs
2,447Hours (in match)
4,116Bombs planted
1,577Bombs defused

Most-used weapons

AK-4723,170
AWP16,859
MAC-102,709
MP92,558
FAMAS1,966

Lifetime map wins

10,662inferno
7,036dust2
5,496nuke
4,114train
3,906vertigo
332cbble
122lake
83safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

189Matches
53%Win rate
0.88Avg K/D
68.3ADR
30%Headshot %

Clutches & streaks

50%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno771%0.8913.1
Anubis540%0.6010.8
Overpass367%1.0816.3
Train367%0.9415.7
Ancient2100%1.0110.0
Vertigo250%0.7917.0
Dust21100%1.0814.0
Mirage10%0.447.0

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.

12.3%Headshot accuracy
31.1%Accuracy (enemy spotted)
33.2%Spray accuracy
71.8%Counter-strafing
9.5°Preaim
560msReaction time
48.1%T opening success
40.6%CT opening success
0.59Enemies flashed / flash
7.2%Flash assists
10.99HE damage / grenade
9.41Flashes / 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 12.3113% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.046%7 Oct →
overpass11–13-0.0411%7 Oct →
inferno9–13-0.0513%7 Oct →
overpass13–100.0315%5 Oct →
inferno13–90.028%5 Oct →
cache8–13-0.038%5 Oct →
vertigo12–16-0.126%5 Oct →
anubis2–10-0.078%1 Oct →
nuke13–7-0.0411%1 Oct →
vertigo13–10-0.039%1 Oct →
mirage16–130.018%1 Oct →
dust26–13-0.0521%29 Sept →
overpass5–13-0.0618%29 Sept →
vertigo11–13-0.0316%29 Sept →
dust213–6-0.0013%29 Sept →
inferno1–13-0.0610%27 Sept →
nuke9–130.0013%27 Sept →
inferno7–13-0.1014%27 Sept →
mirage9–13-0.0614%27 Sept →
vertigo13–80.0212%27 Sept →
anubis13–9-0.0117%24 Sept →
inferno13–60.0017%24 Sept →
ancient13–40.0116%23 Sept →
anubis9–13-0.0511%23 Sept →
overpass13–60.0321%23 Sept →
vertigo9–130.0011%22 Sept →
overpass25–23-0.0510%22 Sept →
inferno10–5-0.043%21 Sept →
inferno9–10.0317%21 Sept →
overpass8–13-0.0519%21 Sept →
dust29–13-0.045%21 Sept →
anubis3–13-0.0825%21 Sept →
vertigo12–16-0.0315%15 Sept →
overpass11–13-0.055%15 Sept →
mirage8–13-0.105%15 Sept →
anubis13–11-0.074%15 Sept →
anubis19–170.0213%14 Sept →
inferno13–9-0.0514%14 Sept →
dust29–13-0.0219%10 Sept →
cache0–13-0.0417%10 Sept →
anubis11–13-0.089%10 Sept →
nuke13–60.047%10 Sept →
dust213–10-0.039%9 Sept →
anubis13–40.0219%9 Sept →
cache9–13-0.070%9 Sept →
dust29–13-0.067%9 Sept →
inferno15–15-0.0110%9 Sept →
nuke4–13-0.1015%9 Sept →
inferno13–60.035%7 Sept →
dust210–13-0.0423%7 Sept →
inferno8–13-0.072%4 Sept →
train16–12-0.0816%3 Sept →
cache13–20.0314%3 Sept →
anubis7–13-0.032%3 Sept →
dust213–10-0.0415%1 Sept →
overpass13–80.0116%1 Sept →
dust29–13-0.0514%1 Sept →
inferno13–6-0.024%31 Aug →
mirage6–13-0.0913%31 Aug →
anubis13–11-0.0214%30 Aug →
inferno13–80.0111%30 Aug →
ancient13–11-0.017%30 Aug →
dust213–16-0.0319%26 Aug →
mirage7–13-0.0713%26 Aug →
dust213–10-0.0618%24 Aug →
overpass13–6-0.004%24 Aug →
cache6–130.0312%24 Aug →
cache11–13-0.0312%19 Aug →
ancient9–13-0.0624%19 Aug →
anubis11–13-0.0013%18 Aug →
mirage1–13-0.126%18 Aug →
overpass3–13-0.0710%18 Aug →
inferno5–13-0.0315%18 Aug →
train11–13-0.0511%18 Aug →
inferno13–8-0.0122%17 Aug →
vertigo13–110.0116%17 Aug →
overpass13–70.018%17 Aug →
inferno16–140.019%12 Aug →
anubis6–13-0.103%12 Aug →
vertigo13–11-0.0714%12 Aug →
anubis16–14-0.0319%11 Aug →
mirage12–16-0.069%11 Aug →
overpass5–13-0.0611%11 Aug →
cache13–8-0.0613%10 Aug →
inferno11–13-0.0314%10 Aug →
nuke13–11-0.073%10 Aug →
cache13–9-0.0110%10 Aug →
inferno13–6-0.0115%6 Aug →
dust213–9-0.087%6 Aug →
inferno13–6-0.049%6 Aug →
vertigo13–16-0.0717%29 Jul →
cache13–110.0116%29 Jul →
overpass9–13-0.057%29 Jul →
vertigo13–9-0.0411%28 Jul →
anubis13–50.0213%28 Jul →
inferno13–20.0811%28 Jul →
mirage7–13-0.0410%27 Jul →
overpass13–50.0315%27 Jul →
cache7–13-0.083%27 Jul →
inferno3–3-0.090%27 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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