zoktay

zoktay — CS2 Stats

TK76561199060085400[U:1:1099819672]Steam profile ↗✓ No bans

390Tracked matches45%Win rate2022Tracked since
661Hours in CS8Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating15,297Purple band · top ~27.2% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+194Premier CS Rating · 15,103 → 15,297

Rating over time

Premier CS Rating: 15,297 +1,571 9 Aug – 15 Nov · 43 days played
13,72616,922peak 16,9229 Aug15 Nov
17,191Peak Premier in tracked matches
46Days played since 2026-08-01

Premier CS Rating

  • 1,625 below peak (16,922)
  • -631 over 30 days · declining
  • -96 over 90 days
  • Next: Pink band at 20,000 — 4,703 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-26
  • Blue band first seen 2026-10-26

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 Purple band among CSDB-tracked players (n=42,517), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.9%44.4%46.9%2.0% short
Shot accuracy6.9%11.8%13.0%6.1% short
Kill/death ratio0.921.031.080.16 short
Match win rate37.0%45.3%46.7%9.7% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Share this profile

CSDB.GGzoktayPREMIER15,297 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning54
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWWLLLWWLWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +6.1pp headshot accuracy · +42ms reaction

Win rate up 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 673ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 659ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 638ms

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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim6.4
Utility5.0
Positioning5.4
Opening Duels3.1
Clutch0.0

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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 53% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 620ms 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

Aim6.4
Positioning5.4
Utility5.0
Mechanics5.8
Opening Duels3.7
Win Impact3.3

Composite 5.3/10 (Developing), 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 rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time618ms−13ms
first ⅓ avg 631ms → last ⅓ avg 618ms
Headshot accuracy19.2%−4.7%
first ⅓ avg 23.9% → last ⅓ avg 19.2%

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

0.16Best match rating · 13–3 · nuke, 17 Aug →
62%Best headshot accuracy · 13–3 · dust2, 16 Aug →
453msFastest reaction time · 8–8 · nuke, 14 Oct →
13–2Biggest win · mirage, 21 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 58% over 12dust2Weakest map · 53% over 32
MapGradePlayedRecordWin rateAvg rating
dust2B3217–1553%-0.01
infernoB179–853%-0.01
anubisA169–756%-0.00
mirageA127–558%0.02
nukeA95–456%0.00
cacheA74–357%-0.03
ancientA74–357%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (53% over 32). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,488Lifetime kills
0.92K/D
1,292Matches
37.0%Match win rate
44.9%Headshot % · Top 50% of Purple band
6.9%Shot accuracy
2,071MVPs
404Hours (in match)
1,177Bombs planted
226Bombs defused

Most-used weapons

Lifetime map wins

3,667dust2
1,448inferno
686nuke
343vertigo
29train
17safehouse
9cbble
6ar_shoots

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

Faceit stats

Combat

5Matches
80%Win rate
1.32Avg K/D
83.8ADR
55%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.1010.5
Dust21100%2.2916.0
Ancient1100%0.8016.0
Inferno1100%1.2927.0

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.

19.0%Headshot accuracy
36.6%Accuracy (enemy spotted)
36.1%Spray accuracy
76.1%Counter-strafing
10.9°Preaim
620msReaction time
52.6%T opening success
37.3%CT opening success
0.51Enemies flashed / flash
7.1%Flash assists
8.40HE damage / grenade
3.74Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7386 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 37.2957% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
anubis13–80.0514%15 Nov →
cache13–40.0520%12 Nov →
mirage9–130.0124%10 Nov →
dust28–13-0.0421%10 Nov →
anubis8–13-0.0720%8 Nov →
ancient13–70.0322%5 Nov →
inferno13–50.0215%5 Nov →
inferno9–130.0723%5 Nov →
anubis13–11-0.0714%4 Nov →
mirage13–9-0.0342%4 Nov →
dust213–7-0.0114%4 Nov →
dust24–13-0.0913%1 Nov →
dust211–13-0.0212%30 Oct →
ancient13–40.0715%30 Oct →
nuke8–13-0.0213%28 Oct →
inferno5–13-0.0522%28 Oct →
anubis6–130.0714%24 Oct →
anubis6–130.0414%22 Oct →
cache5–13-0.0226%22 Oct →
inferno8–13-0.0212%21 Oct →
mirage13–20.1118%21 Oct →
mirage15–15-0.0115%21 Oct →
inferno13–110.0223%19 Oct →
anubis13–7-0.0626%19 Oct →
cache13–2-0.0831%19 Oct →
anubis10–13-0.0225%16 Oct →
nuke13–4-0.0123%16 Oct →
anubis8–130.0215%16 Oct →
anubis9–130.0414%16 Oct →
dust210–130.0214%15 Oct →
dust29–00.1129%15 Oct →
nuke8–8-0.0816%14 Oct →
inferno4–9-0.1914%14 Oct →
anubis13–90.058%14 Oct →
cache3–13-0.0614%14 Oct →
ancient15–150.0119%14 Oct →
anubis13–5-0.0215%11 Oct →
dust213–110.0016%11 Oct →
cache13–9-0.0520%8 Oct →
mirage2–13-0.0544%7 Oct →
nuke13–11-0.0114%7 Oct →
inferno9–13-0.0616%7 Oct →
mirage7–130.0020%6 Oct →
inferno13–6-0.0720%6 Oct →
dust213–80.0224%6 Oct →
inferno13–8-0.027%6 Oct →
inferno9–13-0.043%6 Oct →
mirage13–10-0.036%6 Oct →
mirage13–80.0320%5 Oct →
dust27–13-0.0624%4 Oct →
dust213–5-0.0520%1 Oct →
ancient13–20.0320%1 Oct →
inferno13–80.0716%1 Oct →
dust25–13-0.0018%1 Oct →
ancient5–13-0.0416%24 Sept →
cache5–13-0.0522%24 Sept →
mirage13–90.0728%23 Sept →
dust212–16-0.0128%23 Sept →
dust27–00.0030%19 Sept →
nuke13–70.0016%19 Sept →
dust212–160.0226%17 Sept →
mirage13–80.1015%17 Sept →
ancient13–20.0511%10 Sept →
anubis13–8-0.0811%7 Sept →
anubis7–11-0.027%6 Sept →
dust213–50.0424%5 Sept →
inferno2–13-0.0121%5 Sept →
dust211–13-0.0223%5 Sept →
inferno13–40.0913%30 Aug →
inferno13–70.0619%30 Aug →
anubis13–8-0.0412%30 Aug →
nuke11–13-0.0023%26 Aug →
dust213–70.0422%26 Aug →
dust29–13-0.0513%23 Aug →
dust25–13-0.0924%23 Aug →
inferno13–16-0.0217%22 Aug →
dust213–90.0914%20 Aug →
dust213–10-0.0621%20 Aug →
nuke13–30.1618%17 Aug →
dust25–00.0160%16 Aug →
dust23–00.019%16 Aug →
dust211–130.0157%16 Aug →
dust213–3-0.0362%16 Aug →
dust213–4-0.0643%16 Aug →
ancient10–130.0113%16 Aug →
mirage13–40.0622%15 Aug →
cache13–9-0.0213%15 Aug →
nuke7–130.0316%13 Aug →
anubis13–50.0729%13 Aug →
dust213–70.0025%12 Aug →
anubis13–90.0118%11 Aug →
dust28–13-0.0414%11 Aug →
inferno13–5-0.0631%11 Aug →
mirage4–13-0.0813%11 Aug →
nuke13–11-0.0321%9 Aug →
dust213–8-0.0143%9 Aug →
dust211–13-0.0214%5 Aug →
dust25–13-0.1133%4 Aug →
dust213–110.0721%1 Aug →
inferno13–60.0515%1 Aug →

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 →

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