Kojak

Kojak — CS2 Stats

ZA76561198024528246[U:1:64262518]Steam profile ↗✓ No bans

251Tracked matches53%Win rate2020Tracked since
1,405Hours in CS
CSDB Rating4.8 DevelopingSupport
Premier CS Rating14,895Blue band · top ~29% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 251 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 19 days played since 12 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 14,895 +697 12 May18 Sept · 18 days played
12,78215,562peak 15,56212 May18 Sept
15,669Peak Premier in tracked matches
19Days played since 2026-05-12

Premier CS Rating

  • 667 below peak (15,562)
  • +2,113 over 90 days
  • Next: Purple band at 15,000 105 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

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 Blue band among CSDB-tracked players (n=19,543), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate48.2%41.9%44.3%above
Shot accuracy20.0%9.6%11.8%above
Kill/death ratio1.180.981.03above
Match win rate35.3%43.8%45.2%9.9% short

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

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

Share this profile

CSDB.GGKojakPREMIER14,895 · Blue 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

Aim54
Positioning44
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateLLWLLWWWLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.6pp headshot accuracy · −2ms reaction

Win rate down 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

  • 14 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 547ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 583ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

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: SupportUtility contribution stands above the rest of this profile (+2.4 against its own average).

Aim5.4
Utility6.1
Positioning4.4
Opening Duels0.7

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 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 595ms 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

Aim5.4
Positioning4.4
Utility6.1
Mechanics6.9
Opening Duels0.3
Win Impact6.1

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time607ms−37ms
first ⅓ avg 644ms → last ⅓ avg 607ms
Headshot accuracy13.8%−2.2%
first ⅓ avg 15.9% → last ⅓ avg 13.8%

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

0.11Best match rating · 13–8 · cache, 16 Jul
35%Best headshot accuracy · 13–5 · nuke, 15 May
438msFastest reaction time · 13–11 · mirage, 17 Jul
13–2Biggest win · mirage, 11 Jul

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
54In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 75% over 8ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC26111542%-0.01
dust2B1991047%-0.01
infernoC156940%-0.02
ancientD82625%-0.05
anubisS86275%0.02
nukeB84450%-0.02
cacheA85363%-0.02
overpassB63350%0.00
train110100%0.02
vertigo110100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,115Lifetime kills
1.18K/D · Top 25% of Blue band
4,038Matches
35.3%Match win rate
48.2%Headshot % · Top 25% of Blue band
20.0%Shot accuracy · Top 5% of Blue band
8,881MVPs
1,405Hours (in match)
6,110Bombs planted
2,105Bombs defused

Most-used weapons

AK-4728,275
AWP7,042
P2502,380
MP72,194
UMP-452,043
Tec-91,541

Lifetime map wins

8,422dust2
3,603inferno
1,776train
1,295cbble
896nuke
201vertigo
97lake
55bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.5%Headshot accuracy
31.7%Accuracy (enemy spotted)
34.7%Spray accuracy
81.0%Counter-strafing
10.9°Preaim
595msReaction time
32.4%T opening success
28.6%CT opening success
0.65Enemies flashed / flash
4.1%Flash assists
9.53HE damage / grenade
13.65Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.4986% — below the 15% mark we flag

    Aim Training
  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 32.4417% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0315%7 Aug
ancient2–13-0.0811%7 Aug
inferno13–5-0.0130%7 Aug
dust28–130.0212%7 Aug
dust210–13-0.0715%7 Aug
anubis13–11-0.0121%24 Jul
anubis13–60.0111%24 Jul
nuke13–40.0416%24 Jul
dust26–130.0118%24 Jul
anubis13–40.0615%24 Jul
train13–80.0214%24 Jul
inferno13–90.0813%24 Jul
mirage13–30.0816%24 Jul
mirage8–13-0.0315%17 Jul
cache13–7-0.083%17 Jul
mirage13–11-0.0510%17 Jul
nuke13–80.0021%17 Jul
dust29–13-0.0313%16 Jul
dust20–13-0.0113%16 Jul
cache13–80.1120%16 Jul
nuke10–13-0.0312%11 Jul
cache12–16-0.025%11 Jul
anubis11–130.008%11 Jul
mirage7–13-0.0218%11 Jul
cache13–6-0.0113%11 Jul
inferno16–130.0011%11 Jul
mirage13–70.0015%11 Jul
cache4–13-0.079%11 Jul
dust210–13-0.0411%11 Jul
cache13–7-0.0310%11 Jul
dust213–40.0019%11 Jul
mirage13–2-0.0114%11 Jul
inferno9–130.009%20 Jun
nuke5–13-0.097%20 Jun
mirage13–9-0.0510%18 Jun
ancient13–8-0.0210%18 Jun
mirage13–80.0011%12 Jun
dust27–13-0.0824%12 Jun
inferno3–13-0.0713%12 Jun
ancient7–13-0.0516%11 Jun
overpass13–60.0629%11 Jun
mirage10–13-0.0423%11 Jun
ancient14–16-0.039%6 Jun
overpass10–130.0016%6 Jun
inferno7–13-0.0612%6 Jun
inferno13–7-0.0112%6 Jun
mirage15–15-0.0010%31 May
nuke5–130.0020%31 May
mirage8–13-0.0215%31 May
inferno13–10-0.0214%31 May
nuke13–100.0312%31 May
mirage16–140.0413%31 May
mirage13–60.016%31 May
mirage15–150.0518%30 May
mirage6–13-0.0419%30 May
dust214–160.0311%30 May
dust213–9-0.009%30 May
ancient3–13-0.0418%30 May
overpass10–13-0.0611%24 May
mirage8–13-0.0815%24 May
inferno10–13-0.0212%24 May
dust213–70.0318%24 May
inferno13–4-0.0221%24 May
anubis13–60.0516%24 May
anubis13–40.0630%24 May
inferno9–13-0.0612%23 May
ancient0–13-0.0721%23 May
dust213–7-0.0215%23 May
anubis4–13-0.0213%23 May
mirage10–130.0122%23 May
overpass13–6-0.0115%23 May
mirage9–13-0.0916%23 May
inferno5–13-0.046%23 May
dust210–10.0516%23 May
dust213–9-0.0118%23 May
nuke7–13-0.1013%23 May
mirage13–40.0510%23 May
anubis13–4-0.023%23 May
ancient16–12-0.0421%20 May
dust213–70.0213%20 May
mirage13–11-0.0511%20 May
overpass13–100.0218%20 May
dust216–14-0.0423%17 May
dust27–13-0.077%17 May
dust213–100.1017%17 May
inferno13–16-0.0018%17 May
mirage8–130.0726%17 May
mirage13–3-0.0317%17 May
inferno10–13-0.0531%16 May
mirage15–15-0.0114%16 May
cache13–80.028%15 May
nuke13–5-0.0135%15 May
vertigo13–10-0.0417%15 May
inferno8–13-0.0311%15 May
mirage9–13-0.0112%15 May
mirage8–13-0.0414%15 May
ancient2–13-0.0513%12 May
dust24–13-0.0818%12 May
cache4–13-0.0517%12 May
overpass11–13-0.0019%12 May

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 →