DEKU_QCK

DEKU_QCK — CS2 Stats

76561198061657223[U:1:101391495]Steam profile ↗✓ No bans

1,390Tracked matches48%Win rate2020Tracked since
5,844Hours in CS2Hrs last 2 wks
CSDB Rating5.4 DevelopingClutch Specialist
Premier CS Rating21,288Top 50% of 200,982 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#62853 of 247936 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,390 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,288 -5,579 16 Sept – 17 Sept · 21 days played
20,74827,412peak 27,41216 Sept17 Sept
27,412Peak Premier in tracked matches
52Days played since 2025-09-16

Premier CS Rating

  • 6,124 below peak (27,412)
  • +540 over 30 days · improving
  • Next: Red band at 25,000 — 3,712 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches42+2
Win rate25%50%−25pp
K/D1.001.44−0.44
Headshot %55%65%−11pp

Measured 24 Sep 2026 → 2 Oct 2026; previous 17 Sep 2026 → 24 Sep 2026.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches7——
Win rate29%——
K/D1.03——
Headshot %61%——

Measured 1 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,327), 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 9 medianLevel 10 medianvs Level 10
Headshot rate47.0%48.2%50.9%4.0% short
Shot accuracy12.8%13.3%13.8%0.9% short
Kill/death ratio1.031.071.090.05 short
Match win rate46.9%46.9%48.4%1.5% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDEKU_QCKFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER21,288 · 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

Aim70
Positioning48
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateTLLWLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +2.9pp headshot accuracy · +39ms reaction

Win rate up 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 658ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 584ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 565ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1 against its own average).

Aim7.0
Utility5.3
Positioning4.8
Opening Duels3.3
Clutch5.8

Limited 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

jL

Plays most like jL 92% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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. 600ms 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

Aim7.0
Positioning4.8
Utility5.3
Mechanics5.1
Opening Duels2.5
Win Impact4.4

Composite 5.4/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time603ms−66ms
first ⅓ avg 670ms → last ⅓ avg 603ms
Headshot accuracy23.9%+2.1%
first ⅓ avg 21.8% → last ⅓ avg 23.9%

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

0.15Best match rating · 8–2 · alpine, 30 Jan →
48%Best headshot accuracy · 13–3 · train, 27 Jul →
422msFastest reaction time · 13–4 · mirage, 17 Aug →
13–2Biggest win · anubis, 14 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 64% over 11vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientA1912–763%-0.01
mirageD113–827%-0.02
dust2A117–464%-0.02
infernoD113–827%-0.02
nukeC94–544%-0.00
anubisB84–450%0.00
overpassC83–538%-0.01
vertigoD51–420%-0.01
trainD51–420%-0.00
cache—42–250%-0.05
alpine—31–233%0.06
golden—21–150%-0.03
stronghold—10–10%-0.04
office—11–0100%-0.04
warden—11–0100%0.13
palacio—11–0100%0.08

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,549Lifetime kills
1.03K/D
2,921Matches
46.9%Match win rate · Top 50% of Level 9 players
47.0%Headshot %
12.8%Shot accuracy
7,365MVPs
1,334Hours (in match)
4,451Bombs planted
972Bombs defused

Most-used weapons

AK-4717,249
AWP8,698
P905,511
MAC-102,849
MP72,481
SSG 082,450

Lifetime map wins

13,909dust2
9,518inferno
5,350nuke
3,264train
2,626cbble
2,328vertigo
503office
445lake

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

Faceit stats

Combat

1,183Matches
51%Win rate
1.14Avg K/D
72.2ADR
43%Headshot %

Clutches & streaks

49%1v1 clutch win
15%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient1947%1.0614.7
Anubis1850%1.1014.5
Mirage1030%0.8613.0
Inferno1080%0.9815.7
Dust2978%1.7015.1
Nuke20%0.6710.5
Vertigo250%0.6310.5
Cache1100%0.7613.0

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.

24.3%Headshot accuracy
36.5%Accuracy (enemy spotted)
36.5%Spray accuracy
72.9%Counter-strafing
11.1°Preaim
600msReaction time
36.0%T opening success
43.8%CT opening success
0.49Enemies flashed / flash
10.3%Flash assists
10.45HE damage / grenade
4.46Flashes / 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 0.4868 — below the 0.5 mark we flag

    Grenade Lineups →
  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 36.0194% — below the 40% mark we flag

Spend your practice time on Vertigo

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

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke15–15-0.0532%25 Aug →
ancient9–13-0.0426%24 Aug →
mirage10–13-0.0416%24 Aug →
dust213–100.0233%24 Aug →
inferno11–130.0329%20 Aug →
nuke13–100.0633%20 Aug →
ancient13–70.0420%18 Aug →
cache13–110.0421%18 Aug →
mirage13–4-0.0233%17 Aug →
inferno13–50.1021%17 Aug →
ancient13–3-0.0218%17 Aug →
ancient11–13-0.0518%16 Aug →
inferno3–13-0.0118%16 Aug →
cache8–13-0.0622%15 Aug →
nuke7–13-0.0339%15 Aug →
inferno9–13-0.0319%15 Aug →
anubis13–11-0.0326%15 Aug →
inferno5–13-0.0438%14 Aug →
cache13–8-0.0425%14 Aug →
anubis13–20.0116%14 Aug →
nuke13–16-0.0020%12 Aug →
mirage4–130.0324%4 Aug →
ancient7–13-0.049%3 Aug →
anubis13–11-0.0324%3 Aug →
vertigo12–12-0.0119%29 Jul →
inferno4–13-0.0916%28 Jul →
train13–30.0548%27 Jul →
vertigo12–12-0.1121%26 Jul →
nuke13–110.0123%21 Jun →
train10–130.0524%21 Jun →
cache7–13-0.1421%28 Apr →
anubis5–13-0.0121%21 Apr →
ancient13–6-0.0215%21 Apr →
ancient12–40.0320%4 Mar →
ancient12–16-0.0128%23 Feb →
overpass9–13-0.0629%23 Feb →
inferno8–13-0.0421%23 Feb →
anubis11–13-0.065%23 Feb →
alpine11–13-0.0313%19 Feb →
nuke13–4-0.0316%19 Feb →
nuke13–100.0133%17 Feb →
mirage10–13-0.0229%15 Feb →
nuke10–13-0.0016%15 Feb →
ancient13–110.0427%13 Feb →
mirage7–13-0.0026%9 Feb →
ancient13–110.0620%9 Feb →
overpass7–13-0.0915%9 Feb →
inferno13–4-0.0518%7 Feb →
anubis15–150.0018%7 Feb →
vertigo13–60.068%7 Feb →
overpass10–13-0.0217%6 Feb →
ancient13–60.0115%5 Feb →
inferno13–11-0.0119%5 Feb →
mirage16–14-0.0214%4 Feb →
anubis13–100.0729%2 Feb →
ancient13–9-0.0519%2 Feb →
stronghold10–13-0.0418%31 Jan →
alpine8–20.1533%30 Jan →
office13–7-0.0420%30 Jan →
warden13–80.1316%23 Jan →
alpine10–130.0420%22 Jan →
ancient13–11-0.0511%18 Jan →
mirage13–7-0.074%18 Jan →
train11–13-0.0819%18 Jan →
dust29–13-0.0424%10 Jan →
overpass13–100.0912%10 Jan →
dust25–130.0122%8 Jan →
train7–13-0.0225%8 Jan →
ancient13–90.0211%8 Jan →
mirage7–13-0.0627%8 Jan →
dust213–100.0528%3 Jan →
mirage11–13-0.0018%29 Nov →
vertigo7–13-0.0025%25 Oct →
overpass11–130.0110%25 Oct →
dust28–13-0.0720%24 Oct →
mirage12–16-0.0236%23 Oct →
anubis9–130.0816%22 Oct →
train12–120.0032%22 Oct →
dust213–100.0130%7 Oct →
golden13–90.0823%5 Oct →
dust213–8-0.0428%5 Oct →
vertigo12–120.0139%5 Oct →
ancient13–6-0.0334%3 Oct →
overpass13–5-0.0330%3 Oct →
dust213–7-0.0210%2 Oct →
golden8–13-0.1424%2 Oct →
palacio13–70.0821%2 Oct →
ancient6–13-0.0417%26 Sept →
overpass13–50.0230%26 Sept →
ancient7–13-0.077%24 Sept →
dust216–14-0.0526%24 Sept →
inferno5–13-0.0330%22 Sept →
dust216–13-0.0416%22 Sept →
ancient13–90.0125%22 Sept →
dust23–13-0.0416%17 Sept →
ancient14–16-0.0413%17 Sept →
inferno8–13-0.048%17 Sept →
overpass7–13-0.0317%17 Sept →
nuke15–150.0015%16 Sept →
mirage6–130.0012%16 Sept →

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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