♧︎ Kay-9

♧︎ Kay-9 — CS2 Stats

76561198150697898[U:1:190432170]Steam profile ↗✓ No bans

2,070Tracked matches55%Win rate2020Tracked since
6,670Hours in CS
CSDB Rating4.9 DevelopingSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,070 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,493 +5,413 4 Jul – 13 Dec · 24 days played
15,00021,493peak 21,4934 Jul13 Dec
21,617Peak Premier in tracked matches
47Days played since 2025-07-04

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 9 among CSDB-tracked players (n=15,553), 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 9 medianLevel 10 medianvs Level 10
Headshot rate48.2%48.2%50.9%2.8% short
Shot accuracy18.2%13.2%13.7%above
Kill/death ratio0.861.071.090.23 short
Match win rate46.4%46.9%48.4%2.0% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG♧︎ Kay-9FACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim51
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateWWLLLWLWWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −0.4pp headshot accuracy · −21ms 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 -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 680ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 612ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 622ms

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 (+1.3 against its own average).

Aim5.1
Utility5.5
Positioning4.6
Opening Duels2.5
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

Twistzz

Plays most like Twistzz 77% 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

T-side openings. Opening success drops from 47% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 624ms 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

Aim5.1
Positioning4.6
Utility5.5
Mechanics4.9
Opening Duels2.2
Win Impact6.7

Composite 4.9/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time628ms+9ms
first ⅓ avg 619ms → last ⅓ avg 628ms
Headshot accuracy19.8%−0.2%
first ⅓ avg 20.0% → last ⅓ avg 19.8%

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

0.17Best match rating · 13–1 · mirage, 13 Jul →
40%Best headshot accuracy · 5–1 · inferno, 16 Jul →
375msFastest reaction time · 13–9 · mirage, 3 Jul →
13–1Biggest win · ancient, 10 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
9–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 88% over 8overpassWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageS2819–968%0.01
ancientC188–1044%-0.01
infernoB168–850%-0.03
overpassD103–730%-0.03
dust2C83–538%-0.01
nukeS87–188%0.01
cacheS54–180%-0.01
train—32–167%-0.03
grail—20–20%-0.04
anubis—21–150%0.05

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

163,594Lifetime kills
0.86K/D
6,205Matches
46.4%Match win rate
48.2%Headshot %
18.2%Shot accuracy · Top 10% of Level 9 players
15,507MVPs
6,670Hours (in match)
7,521Bombs planted
2,219Bombs defused

Most-used weapons

AK-4754,042
AWP18,978
Knife4,214
P2503,949
FAMAS3,174
MP92,659

Lifetime map wins

13,671inferno
10,229dust2
4,509train
4,224nuke
2,479vertigo
1,590cbble
57office
53lake

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

Faceit stats

Combat

2,466Matches
51%Win rate
1.04Avg K/D
71.4ADR
46%Headshot %

Clutches & streaks

42%1v1 clutch win
26%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3348%0.9814.2
Ancient3155%0.9513.7
Anubis2737%0.9114.8
Inferno1753%0.9414.5
Dust21638%1.0014.6
Vertigo1354%1.2515.8
Overpass956%1.0114.2
Nuke862%1.1316.1

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.

20.5%Headshot accuracy
29.0%Accuracy (enemy spotted)
32.0%Spray accuracy
71.9%Counter-strafing
9.8°Preaim
624msReaction time
24.2%T opening success
47.2%CT opening success
0.59Enemies flashed / flash
8.0%Flash assists
8.76HE damage / grenade
7.49Flashes / 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 24.2356% — below the 40% mark we flag

Spend your practice time on Overpass

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.0022%4 Aug →
ancient13–9-0.0222%4 Aug →
mirage9–13-0.0120%28 Jul →
dust29–13-0.0120%28 Jul →
ancient6–13-0.0817%26 Jul →
cache13–11-0.0518%26 Jul →
mirage9–13-0.0122%26 Jul →
nuke13–60.0525%26 Jul →
inferno13–10-0.029%24 Jul →
mirage16–140.0122%24 Jul →
ancient13–1-0.019%10 Jul →
cache13–9-0.0123%10 Jul →
cache5–13-0.0713%9 Jul →
mirage13–50.0327%8 Jul →
cache13–20.1026%8 Jul →
mirage13–9-0.0914%3 Jul →
inferno11–13-0.0614%27 Jun →
mirage13–70.0127%27 Jun →
nuke13–9-0.0125%16 Jun →
mirage15–15-0.0323%16 Jun →
inferno8–13-0.0625%23 May →
mirage13–100.0419%23 May →
dust211–13-0.0322%18 Apr →
overpass7–13-0.0517%17 Apr →
inferno8–13-0.0637%17 Apr →
dust25–13-0.0333%17 Apr →
inferno6–13-0.0115%10 Apr →
mirage13–60.0413%9 Apr →
overpass10–13-0.0316%13 Dec →
inferno13–9-0.0719%13 Dec →
ancient14–16-0.115%2 Dec →
inferno13–7-0.0714%24 Nov →
ancient13–9-0.0221%24 Nov →
dust213–9-0.0411%11 Nov →
ancient6–13-0.0233%11 Nov →
train13–9-0.0123%9 Nov →
nuke13–11-0.0113%9 Nov →
overpass6–130.0028%9 Nov →
ancient6–130.0219%9 Nov →
mirage8–13-0.0415%9 Nov →
ancient13–10-0.0113%17 Oct →
train13–8-0.0728%10 Oct →
overpass9–13-0.0311%10 Oct →
overpass16–120.0224%10 Oct →
mirage13–8-0.0110%10 Oct →
inferno16–14-0.0519%8 Oct →
ancient9–130.0124%8 Oct →
inferno13–11-0.0117%21 Sept →
mirage13–100.0122%20 Sept →
ancient8–13-0.094%20 Sept →
nuke13–5-0.0011%12 Sept →
grail8–13-0.0516%30 Aug →
grail5–13-0.0419%30 Aug →
ancient13–80.0517%15 Aug →
ancient13–60.0717%13 Aug →
mirage13–100.1024%26 Jul →
nuke4–130.0514%26 Jul →
mirage11–130.0122%26 Jul →
overpass10–13-0.0117%26 Jul →
ancient15–15-0.0115%24 Jul →
mirage13–9-0.0216%24 Jul →
ancient8–13-0.0122%21 Jul →
nuke13–10.0222%21 Jul →
mirage13–5-0.0222%21 Jul →
nuke13–7-0.0313%20 Jul →
inferno1–13-0.0617%20 Jul →
mirage13–11-0.0324%20 Jul →
mirage11–13-0.0220%20 Jul →
overpass9–13-0.0713%19 Jul →
nuke13–70.0319%19 Jul →
overpass13–5-0.0216%18 Jul →
mirage5–130.0719%18 Jul →
mirage16–14-0.0317%18 Jul →
overpass1–13-0.0710%17 Jul →
dust24–13-0.0415%17 Jul →
inferno10–13-0.0318%17 Jul →
mirage13–110.0023%17 Jul →
overpass13–8-0.0219%16 Jul →
inferno5–10.0140%16 Jul →
mirage13–10-0.0325%14 Jul →
mirage13–10.1732%13 Jul →
dust28–130.0321%11 Jul →
ancient5–13-0.0512%11 Jul →
inferno6–130.0122%10 Jul →
inferno13–30.0227%10 Jul →
mirage13–10-0.0416%10 Jul →
anubis7–130.0719%9 Jul →
mirage13–90.1326%9 Jul →
inferno13–6-0.0014%9 Jul →
dust213–100.0224%9 Jul →
ancient13–110.0616%8 Jul →
mirage13–100.0722%7 Jul →
train11–13-0.0328%6 Jul →
ancient11–13-0.0119%6 Jul →
inferno14–160.0123%6 Jul →
mirage7–130.0518%5 Jul →
mirage8–13-0.077%5 Jul →
dust213–100.0015%4 Jul →
anubis13–100.0228%4 Jul →
ancient13–90.0315%4 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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