cK.

cK. — CS2 Stats

CZ76561198190206739[U:1:229941011]Steam profile ↗✓ No bans

851Tracked matches34%Win rate2021Tracked since
4,869Hours in CS
CSDB Rating6.2 SolidSupport
Premier CS Rating21,558Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#63305 of 261642 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (35 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: 21,558 +3,536 18 Jan – 11 Oct · 53 days played
18,02226,311peak 26,31118 Jan11 Oct
26,311Peak Premier in tracked matches
68Days played since 2026-01-18

Premier CS Rating

  • 4,753 below peak (26,311)
  • -883 over 30 days · declining
  • Next: Red band at 25,000 — 3,442 to go
  • Reached: Red band · Pink band · Purple band · 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate57.9%46.9%49.3%above
Shot accuracy17.2%13.0%13.4%above
Kill/death ratio1.081.081.120.04 short
Match win rate49.7%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcK.PREMIER21,558 · 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

Aim83
Positioning54
Utility62

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateLLLLLWTWLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · −5.6pp headshot accuracy · +24ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 535ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 528ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 516ms

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 (+1.3 against its own average).

Aim8.3
Utility6.2
Positioning5.4
Opening Duels5.3
Clutch2.6

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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 56% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3
Positioning5.4
Utility6.2
Mechanics7.6
Opening Duels3.9
Win Impact0.0

Composite 6.2/10 (Solid), 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-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time544ms−76ms
first ⅓ avg 620ms → last ⅓ avg 544ms
Headshot accuracy23.0%−2.6%
first ⅓ avg 25.6% → last ⅓ avg 23.0%

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 · 13–3 · inferno, 24 May →
51%Best headshot accuracy · 13–10 · mirage, 1 Feb →
328msFastest reaction time · 0–13 · inferno, 26 Aug →
13–0Biggest win · mirage, 16 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
10–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 6anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D3410–2429%-0.01
mirageB2914–1548%-0.01
infernoA116–555%0.02
ancientA95–456%-0.04
anubisD61–517%0.01
cacheS64–267%-0.03
overpass—42–250%-0.02
nuke—10–10%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

152,859Lifetime kills
1.08K/D
5,658Matches
49.7%Match win rate · Top 25% of Pink band
57.9%Headshot % · Top 25% of Pink band
17.2%Shot accuracy · Top 25% of Pink band
21,410MVPs
4,869Hours (in match)
4,801Bombs planted
2,152Bombs defused

Most-used weapons

AK-4768,385
AWP16,766
Knife2,288
P2501,947
FAMAS1,406
SSG 081,128

Lifetime map wins

10,352inferno
6,540dust2
2,299train
1,904vertigo
1,613cbble
1,144nuke
46office
37dust

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

Faceit stats

Combat

966Matches
53%Win rate
1.14Avg K/D
78.8ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage617%0.9616.2
Anubis475%1.3714.3
Dust2367%0.8011.7
Ancient20%0.6413.5
Inferno1100%1.2123.0
Overpass10%0.649.0
Train1100%0.7117.0

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.

22.7%Headshot accuracy
31.8%Accuracy (enemy spotted)
33.4%Spray accuracy
84.2%Counter-strafing
6.6°Preaim
540msReaction time
35.5%T opening success
55.8%CT opening success
0.66Enemies flashed / flash
2.7%Flash assists
12.00HE damage / grenade
14.65Flashes / 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 35.5375% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0510%11 Oct →
anubis7–13-0.0221%23 Sept →
cache10–130.0418%10 Sept →
dust29–13-0.0715%10 Sept →
cache7–13-0.0531%9 Sept →
dust213–10.0224%9 Sept →
dust215–150.0423%30 Aug →
inferno13–30.1130%29 Aug →
ancient11–13-0.069%28 Aug →
mirage0–13-0.0524%26 Aug →
inferno0–13-0.0633%26 Aug →
mirage6–13-0.1020%25 Aug →
dust28–130.0332%13 Aug →
cache13–7-0.0131%10 Aug →
mirage13–10.0729%9 Aug →
mirage8–13-0.0523%27 Jul →
dust24–13-0.0523%23 Jul →
anubis13–2-0.0336%20 Jul →
cache13–9-0.0622%18 Jul →
ancient13–80.0011%17 Jul →
mirage1–13-0.1020%17 Jul →
cache13–11-0.0831%17 Jul →
inferno11–13-0.0223%17 Jul →
cache16–14-0.0025%16 Jul →
dust213–11-0.0223%12 Jul →
mirage8–13-0.0325%12 Jul →
mirage18–22-0.0115%6 Jul →
mirage3–130.0445%6 Jul →
dust211–13-0.0714%4 Jul →
anubis6–13-0.0617%4 Jul →
dust27–13-0.0621%28 Jun →
ancient11–13-0.0614%28 Jun →
mirage13–100.0321%17 Jun →
dust211–130.0034%14 Jun →
dust27–13-0.1017%12 Jun →
dust213–7-0.0139%31 May →
inferno13–30.1520%24 May →
ancient13–11-0.0431%19 May →
mirage13–00.0120%16 May →
dust29–130.1235%5 May →
ancient8–13-0.0416%28 Apr →
overpass6–13-0.0729%26 Apr →
inferno13–00.0222%20 Apr →
dust26–13-0.0436%19 Apr →
mirage13–5-0.0617%19 Apr →
mirage16–140.0515%9 Apr →
dust24–13-0.0327%23 Mar →
overpass5–13-0.0327%22 Mar →
dust23–13-0.0820%21 Mar →
dust213–110.0541%15 Mar →
dust24–13-0.0330%15 Mar →
anubis11–130.0731%13 Mar →
anubis6–130.0027%13 Mar →
dust215–15-0.0223%10 Mar →
dust26–13-0.0411%10 Mar →
dust213–110.0217%8 Mar →
mirage13–80.0633%7 Mar →
dust24–13-0.0116%4 Mar →
inferno9–130.0320%4 Mar →
mirage9–130.0119%1 Mar →
dust213–70.1030%1 Mar →
mirage10–13-0.0326%27 Feb →
mirage8–13-0.0126%25 Feb →
dust211–130.0232%25 Feb →
ancient13–9-0.0521%25 Feb →
inferno13–70.0320%23 Feb →
dust211–130.0125%22 Feb →
mirage13–5-0.0139%22 Feb →
dust213–16-0.0225%19 Feb →
mirage6–13-0.0413%15 Feb →
mirage13–40.0438%14 Feb →
mirage13–8-0.0228%14 Feb →
mirage9–13-0.0441%11 Feb →
nuke7–13-0.0026%11 Feb →
dust211–130.0129%10 Feb →
ancient5–13-0.0810%5 Feb →
ancient13–10-0.0322%4 Feb →
mirage3–13-0.0414%4 Feb →
mirage7–13-0.0216%3 Feb →
inferno13–11-0.0820%2 Feb →
dust27–13-0.0435%2 Feb →
mirage13–10-0.0151%1 Feb →
dust215–15-0.0044%1 Feb →
mirage13–4-0.0134%1 Feb →
mirage13–60.0431%1 Feb →
dust213–40.0328%31 Jan →
ancient16–140.0130%31 Jan →
mirage9–13-0.0211%31 Jan →
overpass16–14-0.0312%29 Jan →
mirage13–60.0135%28 Jan →
overpass13–50.0314%28 Jan →
inferno8–130.0026%27 Jan →
dust213–100.0021%27 Jan →
anubis9–130.0715%25 Jan →
mirage13–80.0120%24 Jan →
inferno13–100.0250%24 Jan →
dust213–80.0028%24 Jan →
dust213–7-0.015%22 Jan →
dust212–12-0.0421%21 Jan →
inferno15–150.0413%18 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.