Koray

Koray — CS2 Stats

76561198035569066[U:1:75303338]Steam profile ↗✓ No bans

1,477Tracked matches40%Win rate2020Tracked since
CSDB Rating6.1 SolidSupport
CSDB Leaderboard#58412 of 252734 tracked
FaceitLevel 9 · 2,506 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

21,693Peak Premier in tracked matches
2,506Highest Faceit ELO seen on CSDB
33Days played since 2026-03-05

Faceit ELO

  • At peak — 2,506
  • Next: 3,000 ELO at 3,000 — 494 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGKorayFACEITLevel 9 · 2,506 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,506csdb.gg/stats

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Performance scores

Aim77
Positioning64
Utility67

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateLWLWLWLLLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −7.3pp headshot accuracy · −85ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 517ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 538ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 580ms

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 (+1.7 against its own average).

Aim7.7
Utility6.7
Positioning6.4
Opening Duels2.9
Clutch4.2

Effective flashes

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 88% 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. 574ms 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

Aim7.7
Positioning6.4
Utility6.7
Mechanics5.7
Opening Duels3.3
Win Impact1.7

Composite 6.1/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time566ms−21ms
first ⅓ avg 587ms → last ⅓ avg 566ms
Headshot accuracy24.8%+2.8%
first ⅓ avg 22.0% → last ⅓ avg 24.8%

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

0.15Best match rating · 13–4 · dust2, 30 Mar →
42%Best headshot accuracy · 13–7 · inferno, 25 Jul →
414msFastest reaction time · 7–13 · inferno, 10 Oct →
13–0Biggest win · overpass, 3 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 69% over 13cacheWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B3215–1747%0.02
infernoC2812–1643%0.00
cacheC166–1038%0.01
nukeS139–469%0.01
overpassA53–260%0.02
mirage—41–325%-0.02
ancient—20–20%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

1,640Matches
51%Win rate
1.20Avg K/D
80.5ADR
48%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust213852%1.1917.0
Inferno11350%1.1617.0
Nuke8665%1.2417.0
Ancient3839%1.0816.6
Overpass2741%1.0916.0
Mirage2330%0.9915.4
Anubis1631%1.2919.6
Cache1242%1.1216.8

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.

24.7%Headshot accuracy
36.9%Accuracy (enemy spotted)
40.0%Spray accuracy
75.6%Counter-strafing
11.1°Preaim
574msReaction time
39.1%T opening success
47.6%CT opening success
0.71Enemies flashed / flash
15.7%Flash assists
10.60HE damage / grenade
11.39Flashes / 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 39.1184% — below the 40% mark we flag

Spend your practice time on Cache

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 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust27–130.0012%16 Oct →
nuke13–10-0.0122%16 Oct →
inferno9–13-0.0121%16 Oct →
dust213–10.049%16 Oct →
cache11–130.0123%16 Oct →
nuke13–50.0525%10 Oct →
inferno7–13-0.0227%10 Oct →
dust211–130.0326%10 Oct →
inferno7–130.0824%10 Oct →
dust213–16-0.0127%12 Sept →
inferno17–19-0.0223%25 Aug →
cache3–13-0.0419%25 Aug →
dust213–60.0132%25 Aug →
nuke5–13-0.0333%25 Aug →
dust211–130.0638%31 Jul →
dust213–110.0930%31 Jul →
cache16–120.0830%31 Jul →
cache13–60.0230%30 Jul →
inferno8–13-0.0626%30 Jul →
dust29–130.0127%30 Jul →
mirage13–100.0111%30 Jul →
dust28–130.0524%26 Jul →
inferno13–70.0842%25 Jul →
inferno4–13-0.0421%25 Jul →
dust23–13-0.0323%25 Jul →
inferno13–70.0311%23 Jul →
dust215–190.0217%23 Jul →
dust28–130.0029%23 Jul →
inferno13–8-0.0220%16 Jul →
nuke13–11-0.0335%16 Jul →
cache10–130.0233%15 Jul →
inferno13–11-0.0218%8 Jul →
cache13–10-0.0431%8 Jul →
inferno8–13-0.0822%8 Jul →
dust213–80.0422%5 Jul →
dust213–100.0522%3 Jul →
inferno13–80.0720%3 Jul →
mirage5–13-0.0119%3 Jul →
cache9–13-0.0126%1 Jul →
cache5–130.0214%1 Jul →
dust29–130.0217%1 Jul →
dust213–9-0.0016%1 Jul →
cache16–120.0821%28 May →
nuke9–13-0.0324%28 May →
dust213–40.1122%28 May →
inferno7–130.0122%28 May →
dust29–130.0429%25 May →
dust24–13-0.0338%25 May →
dust213–8-0.0032%25 May →
cache12–120.0320%9 May →
overpass8–130.0328%9 May →
dust28–13-0.0312%9 May →
cache6–130.0220%9 May →
inferno13–9-0.0026%9 May →
overpass13–90.0516%3 May →
inferno13–30.0315%3 May →
cache16–19-0.0110%3 May →
overpass13–00.1439%3 May →
dust29–130.0620%3 May →
ancient11–13-0.0620%3 May →
mirage5–13-0.0513%3 May →
nuke14–160.0115%3 May →
cache13–10-0.0313%1 May →
cache12–12-0.0123%1 May →
inferno13–100.0315%1 May →
nuke13–70.0114%1 May →
dust213–100.0027%29 Apr →
cache13–30.0231%29 Apr →
cache9–13-0.0231%26 Apr →
inferno7–130.0322%26 Apr →
dust216–14-0.0233%18 Apr →
dust213–70.0227%18 Apr →
inferno14–16-0.0320%18 Apr →
dust28–13-0.0528%18 Apr →
inferno13–100.1030%15 Apr →
inferno17–190.0021%15 Apr →
overpass13–6-0.036%15 Apr →
mirage7–13-0.029%31 Mar →
nuke13–110.0223%31 Mar →
inferno9–130.0520%31 Mar →
ancient6–13-0.0215%31 Mar →
dust213–70.0330%31 Mar →
dust213–40.1523%30 Mar →
inferno9–13-0.0711%28 Mar →
inferno13–8-0.0024%28 Mar →
dust210–13-0.0521%28 Mar →
nuke13–100.0127%26 Mar →
dust213–7-0.0231%26 Mar →
inferno3–13-0.0525%26 Mar →
inferno13–110.0417%26 Mar →
nuke13–70.0425%26 Mar →
overpass6–13-0.0714%24 Mar →
nuke14–160.0214%24 Mar →
dust219–22-0.0119%17 Mar →
inferno8–130.0224%17 Mar →
nuke16–140.0427%17 Mar →
inferno9–13-0.0526%12 Mar →
dust213–10-0.0017%12 Mar →
nuke13–50.0119%10 Mar →
inferno13–70.0118%5 Mar →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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