Kaz3Nkou

Kaz3Nkou — CS2 Stats

CL76561198220506829[U:1:260241101]Steam profile ↗1 game ban

685Tracked matches45%Win rate2021Tracked since
1,539Hours in CS12Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating20,525Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#77088 of 261515 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 20,525 -1,798 14 Aug – 13 Nov · 49 days played
20,34122,762peak 22,76214 Aug13 Nov
22,762Peak Premier in tracked matches
49Days played since 2026-08-14

Premier CS Rating

  • 2,237 below peak (22,762)
  • -232 over 30 days · steady
  • -1,192 over 90 days
  • Next: Red band at 25,000 — 4,475 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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=13,496), 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 rate39.5%44.8%45.7%6.2% short
Shot accuracy10.4%12.4%12.7%2.3% short
Kill/death ratio0.951.031.050.10 short
Match win rate44.8%45.2%45.7%meets

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGKaz3NkouFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER20,525 · 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

Aim59
Positioning50
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLLTLWWLLWW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −4.5pp headshot accuracy · +10ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 572ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 571ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

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 (+2.3 against its own average).

Aim5.9
Utility6.2
Positioning5.0
Opening Duels0.0
Clutch4.4

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

iM

Plays most like iM 71% 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. 557ms 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

Aim5.9
Positioning5.0
Utility6.2
Mechanics7.1
Opening Duels2.0
Win Impact3.3

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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time562ms+16ms
first ⅓ avg 547ms → last ⅓ avg 562ms
Headshot accuracy15.4%+1.0%
first ⅓ avg 14.3% → last ⅓ avg 15.4%

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

0.09Best match rating · 13–2 · cache, 24 Sept →
30%Best headshot accuracy · 13–1 · cache, 11 Oct →
391msFastest reaction time · 5–13 · inferno, 7 Oct →
13–1Biggest win · ancient, 13 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
14–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 64% over 14mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3215–1747%-0.01
cacheA2012–860%-0.02
anubisA149–564%-0.02
nukeD113–827%-0.01
ancientA95–456%-0.01
infernoD82–625%-0.04
mirageD61–517%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,355Lifetime kills
0.95K/D
1,984Matches
44.8%Match win rate
39.5%Headshot %
10.4%Shot accuracy
3,772MVPs
783Hours (in match)
1,577Bombs planted
473Bombs defused

Most-used weapons

Lifetime map wins

9,248dust2
1,754inferno
402vertigo
358nuke
274train
107cbble
9lake
6safehouse

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

Faceit stats

Combat

153Matches
57%Win rate
0.92Avg K/D
71.7ADR
44%Headshot %

Clutches & streaks

42%1v1 clutch win
30%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust25567%0.9714.2
Inferno2536%0.7613.0
Ancient2365%0.9714.4
Mirage1828%0.8313.1
Vertigo1580%0.9115.5
Anubis1250%1.0813.8
Nuke333%0.7111.7
Overpass2100%0.7211.0

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.

15.9%Headshot accuracy
30.8%Accuracy (enemy spotted)
29.7%Spray accuracy
82.0%Counter-strafing
10.1°Preaim
557msReaction time
42.9%T opening success
33.2%CT opening success
0.68Enemies flashed / flash
5.5%Flash assists
8.12HE damage / grenade
9.48Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.2331% — below the 40% mark we flag

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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0114%13 Nov →
anubis5–13-0.098%13 Nov →
cache15–150.029%10 Nov →
mirage2–13-0.0114%9 Nov →
dust213–60.0321%6 Nov →
inferno13–60.0020%6 Nov →
dust211–13-0.0214%5 Nov →
inferno12–16-0.0712%4 Nov →
dust213–7-0.0221%4 Nov →
cache13–60.0515%3 Nov →
cache13–11-0.0417%3 Nov →
mirage13–3-0.0123%3 Nov →
mirage11–13-0.0319%3 Nov →
nuke4–13-0.017%3 Nov →
anubis13–3-0.0324%2 Nov →
cache10–13-0.0414%2 Nov →
inferno5–13-0.0519%1 Nov →
cache16–14-0.0523%30 Oct →
dust213–60.0029%30 Oct →
anubis9–13-0.0118%29 Oct →
mirage9–13-0.0222%27 Oct →
inferno13–80.0415%25 Oct →
dust213–11-0.0317%22 Oct →
cache6–13-0.0611%22 Oct →
anubis13–11-0.0010%22 Oct →
dust21–13-0.1310%21 Oct →
nuke9–13-0.038%21 Oct →
cache13–110.0520%20 Oct →
anubis10–130.0118%13 Oct →
cache3–13-0.056%13 Oct →
ancient13–10.007%13 Oct →
anubis13–10.018%13 Oct →
ancient11–13-0.0316%12 Oct →
nuke5–13-0.096%12 Oct →
mirage2–13-0.0218%12 Oct →
dust25–13-0.076%12 Oct →
cache13–1-0.0030%11 Oct →
anubis13–9-0.018%9 Oct →
dust213–11-0.0512%9 Oct →
inferno5–13-0.0621%7 Oct →
dust211–13-0.0420%6 Oct →
nuke2–13-0.0911%6 Oct →
dust216–140.0219%29 Sept →
ancient13–100.007%26 Sept →
dust26–13-0.0111%26 Sept →
cache13–70.0113%26 Sept →
dust22–13-0.0416%26 Sept →
cache13–11-0.0119%24 Sept →
cache13–20.0925%24 Sept →
cache6–13-0.026%23 Sept →
anubis8–2-0.0521%23 Sept →
anubis16–14-0.0116%21 Sept →
anubis13–100.0111%21 Sept →
dust29–130.0315%21 Sept →
ancient14–160.0115%16 Sept →
inferno5–13-0.0817%14 Sept →
nuke14–160.0425%12 Sept →
anubis13–60.0521%11 Sept →
dust213–10-0.0213%11 Sept →
dust23–130.0112%10 Sept →
dust214–160.0120%8 Sept →
cache13–3-0.065%7 Sept →
dust213–50.0513%6 Sept →
dust213–70.0018%6 Sept →
cache13–60.0121%4 Sept →
nuke10–130.0526%4 Sept →
dust29–130.016%1 Sept →
nuke10–130.0414%31 Aug →
dust22–90.0722%29 Aug →
ancient13–110.0016%29 Aug →
dust213–60.037%28 Aug →
anubis6–13-0.017%28 Aug →
nuke13–90.0112%28 Aug →
nuke10–13-0.0022%28 Aug →
dust213–90.0820%28 Aug →
dust214–16-0.0013%27 Aug →
nuke13–5-0.045%27 Aug →
dust24–13-0.0523%26 Aug →
anubis13–11-0.0118%25 Aug →
cache6–13-0.0823%25 Aug →
dust211–13-0.1214%25 Aug →
dust213–30.0119%22 Aug →
dust213–6-0.0410%22 Aug →
dust21–130.0313%21 Aug →
ancient4–13-0.0311%21 Aug →
cache13–90.006%21 Aug →
dust213–8-0.0126%21 Aug →
cache6–13-0.067%21 Aug →
dust20–130.000%18 Aug →
dust26–13-0.0415%18 Aug →
cache13–7-0.0316%17 Aug →
anubis7–13-0.0916%17 Aug →
cache9–13-0.0218%17 Aug →
dust213–11-0.0211%17 Aug →
nuke16–130.0211%17 Aug →
inferno11–13-0.0711%15 Aug →
inferno9–13-0.0411%15 Aug →
ancient9–130.0020%14 Aug →
ancient16–14-0.0125%14 Aug →
ancient16–14-0.0213%14 Aug →

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 →

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