okezzi

okezzi — CS2 Stats

76561198767355238[U:1:807089510]Steam profile ↗✓ No bans

267Tracked matches57%Win rate2026Tracked since
332Hours in CS67Hrs last 2 wks
CSDB Rating6.4 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

+89Tracked matches · now 267
−3.3ppWin rate · 60.0% → 56.7%

Rating over time

48Days played since 2026-01-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches97——
Win rate46%——
K/D0.90——
Headshot %42%——

Measured 12 Sep 2026 → 12 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 8 among CSDB-tracked players (n=14,773), 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 8 medianLevel 9 medianvs Level 9
Headshot rate49.0%46.8%48.2%meets
Shot accuracy0.0%13.0%13.3%13.3% short
Kill/death ratio0.971.061.070.10 short
Match win rate50.1%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGokezziFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning59
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY55–33–3Last 9160%Win rateLLLWLLWWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.0pp headshot accuracy · −39ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 505ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 513ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

Newest first, from the last 91 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 (+1.1 against its own average).

Aim7.3
Utility6.4
Positioning5.9
Opening Duels3.7
Clutch5.4

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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 556ms 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

Aim7.3
Positioning5.9
Utility6.4
Mechanics6.0
Opening Duels4.1
Win Impact7.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time559ms−86ms
first ⅓ avg 645ms → last ⅓ avg 559ms
Headshot accuracy17.8%−2.0%
first ⅓ avg 19.9% → last ⅓ avg 17.8%

Rolling 5-match average across the last 91 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 13–11 · nuke, 13 Mar →
48%Best headshot accuracy · 8–3 · ancient, 30 Mar →
391msFastest reaction time · 10–13 · mirage, 6 Oct →
13–1Biggest win · dust2, 25 Jun →

Across the last 91 tracked matches.

Highlights

6Longest win streak
L3Current streak
17–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 80% over 5anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA2717–1063%0.00
dust2A169–756%-0.00
nukeA138–562%0.01
anubisC135–838%-0.01
ancientS118–373%0.03
infernoS54–180%0.03
vertigo—32–167%-0.01
train—22–0100%0.00
cache—10–10%-0.03

Across the last 91 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,201Lifetime kills
0.97K/D
335Matches
50.1%Match win rate · Top 25% of Level 8 players
49.0%Headshot % · Top 50% of Level 8 players
0.0%Shot accuracy
1,261MVPs
160Hours (in match)
334Bombs planted
369Bombs defused

Most-used weapons

Lifetime map wins

769dust2
352nuke
309inferno
60vertigo
26train

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

Faceit stats

Combat

242Matches
51%Win rate
1.04Avg K/D
81.3ADR
46%Headshot %

Clutches & streaks

47%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6957%1.0215.9
Dust24443%1.0916.3
Ancient3946%1.0715.8
Anubis3152%1.0915.8
Nuke2450%0.9315.6
Inferno2167%1.0716.2
Cache933%0.7511.3
Vertigo450%1.0314.0

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.

17.7%Headshot accuracy
34.1%Accuracy (enemy spotted)
37.5%Spray accuracy
76.8%Counter-strafing
8.5°Preaim
556msReaction time
50.6%T opening success
42.0%CT opening success
0.65Enemies flashed / flash
5.6%Flash assists
8.73HE damage / grenade
12.47Flashes / match

Recommended for you

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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.058%8 Oct →
nuke11–13-0.0323%6 Oct →
mirage10–130.0118%6 Oct →
nuke13–110.0722%2 Oct →
mirage13–160.0217%1 Oct →
ancient7–13-0.018%29 Sept →
dust213–20.0424%29 Sept →
inferno13–100.0726%27 Sept →
nuke16–120.0317%25 Sept →
cache6–13-0.0319%23 Sept →
vertigo1–13-0.0817%18 Sept →
anubis13–160.098%10 Sept →
dust213–110.0319%25 Aug →
mirage7–13-0.0523%23 Aug →
ancient7–13-0.078%23 Aug →
dust213–80.0215%19 Aug →
inferno13–110.0916%16 Aug →
anubis11–13-0.0311%10 Aug →
mirage13–70.1122%8 Aug →
dust213–70.0932%6 Aug →
vertigo13–80.0219%6 Aug →
anubis7–130.0124%6 Aug →
mirage19–17-0.0316%6 Aug →
inferno13–110.0122%5 Aug →
dust211–13-0.0411%4 Aug →
nuke13–10-0.0117%2 Aug →
ancient13–20.0212%1 Aug →
mirage13–60.0018%1 Aug →
nuke16–140.0325%1 Aug →
inferno13–80.0219%1 Aug →
nuke13–7-0.0342%28 Jul →
dust26–13-0.0431%28 Jul →
ancient13–11-0.0217%28 Jul →
anubis6–13-0.0314%28 Jul →
mirage16–140.0121%28 Jul →
nuke14–160.0026%28 Jul →
ancient10–13-0.0120%28 Jul →
dust211–13-0.078%27 Jul →
dust213–110.0328%27 Jul →
anubis13–40.0220%27 Jul →
dust23–13-0.0535%26 Jul →
mirage13–80.0416%26 Jul →
dust213–80.0616%26 Jul →
nuke10–13-0.0410%26 Jul →
mirage13–9-0.068%26 Jul →
ancient13–30.0715%26 Jul →
anubis15–19-0.0514%26 Jul →
mirage10–13-0.0213%25 Jul →
ancient13–70.0920%23 Jul →
nuke13–16-0.0317%23 Jul →
anubis16–14-0.0420%14 Jul →
ancient13–90.0412%14 Jul →
mirage13–110.0213%13 Jul →
mirage10–130.0119%13 Jul →
mirage13–11-0.0311%8 Jul →
mirage16–14-0.0329%7 Jul →
dust213–10.059%25 Jun →
mirage13–11-0.0422%25 Jun →
mirage13–9-0.0712%25 Jun →
anubis13–30.0726%23 Jun →
nuke5–13-0.0216%23 Jun →
mirage19–16-0.0024%23 Jun →
nuke13–70.0518%23 Jun →
ancient13–40.089%23 Jun →
mirage13–100.0018%23 Jun →
mirage9–130.0420%22 Jun →
anubis3–13-0.130%14 May →
mirage11–13-0.0521%14 May →
dust213–8-0.0620%13 May →
mirage6–60.0314%17 Apr →
inferno12–12-0.0424%9 Apr →
mirage13–30.0618%5 Apr →
anubis13–80.0124%5 Apr →
mirage13–6-0.0324%5 Apr →
mirage5–13-0.0214%30 Mar →
ancient8–30.0748%30 Mar →
dust24–13-0.0032%30 Mar →
dust26–13-0.0214%26 Mar →
anubis13–20.0812%26 Mar →
vertigo13–50.0346%22 Mar →
nuke13–110.1318%13 Mar →
train13–7-0.0020%25 Feb →
nuke13–5-0.0317%16 Feb →
anubis9–13-0.056%10 Jan →
mirage12–12-0.0228%10 Jan →
ancient13–90.0211%10 Jan →
dust213–70.0121%8 Jan →
train13–30.0121%7 Jan →
mirage12–120.0418%7 Jan →
anubis7–13-0.0421%7 Jan →
mirage13–110.0614%6 Jan →

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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