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kay.223

kay.223 — CS2 Stats

US76561199833284209[U:1:1873018481]Steam profile ↗✓ No bans

478Tracked matches32%Win rate2026Tracked since
432Hours in CS13Hrs last 2 wks
CSDB Rating3.9 Learning
Premier CS Rating5,101Light Blue band · top ~78.3% of ranked players (population est.)
CSDB Leaderboard#17152 of 22368 tracked
WingmanSilver Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate53.5%40.1%41.7%above
Shot accuracy0.0%7.6%8.8%8.8% short
Kill/death ratio1.110.920.97above
Match win rate45.8%42.2%43.8%above

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

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

Share this profile

CSDB.GGkay.223PREMIER5,101 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning46
Utility14

0–100 skill scores via Leetify.

Recent form

COLD40–56–4Last 10040%Win rateLLLLLTLLLL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Aim5.8
Aggression6.1
Utility1.4
Positioning4.6
Opening Duels2.1

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 78% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 728ms 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

Aim5.8
Positioning4.6
Utility1.4
Mechanics8.6
Opening Duels2.1
Win Impact0.0

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time717ms+31ms
first ⅓ avg 685ms → last ⅓ avg 717ms
Headshot accuracy13.5%−0.3%
first ⅓ avg 13.8% → last ⅓ avg 13.5%

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.

Highlights

0.15Best rating — dust2 7–13
13–1Biggest win — mirage
7Longest win streak
L5Current streak
6–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 65% over 20infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D217–1433%-0.01
nukeD217–1433%-0.03
mirageS2013–765%0.02
cacheD175–1229%-0.01
infernoD82–625%-0.07
ancientB63–350%-0.03
anubisA53–260%0.02
office—10–10%-0.02
train—10–10%-0.09

Across the last 100 tracked matches.

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

Lifetime stats

18,475Lifetime kills
1.11K/D · Top 25% of Light Blue band
640Matches
45.8%Match win rate · Top 25% of Light Blue band
53.5%Headshot % · Top 10% of Light Blue band
0.0%Shot accuracy
1,290MVPs
328Hours (in match)
630Bombs planted
141Bombs defused

Most-used weapons

AK-4713,131
M4A4 / M4A1-S1,774
Desert Eagle899
AWP704
P2000 / USP-S572
Galil AR310
Glock-18204
SSG 08174
FAMAS162
MAC-10108

Lifetime map wins

1,550dust2
718nuke
575inferno
92vertigo
13office
12train
3italy

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.

14.5%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.3%Spray accuracy
88.7%Counter-strafing
10.0°Preaim
728msReaction time
34.3%T opening success
42.5%CT opening success
0.16Enemies flashed / flash
2.3%Flash assists
5.59HE damage / grenade
1.62Flashes / 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 14.4819% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 728.2556ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1617 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.0313%27 Aug →
cache10–13-0.1011%27 Aug →
dust27–130.1514%27 Aug →
mirage4–130.0014%27 Aug →
dust26–13-0.074%27 Aug →
nuke15–15-0.0616%26 Aug →
mirage6–13-0.0010%26 Aug →
inferno5–13-0.085%24 Aug →
nuke7–13-0.0510%24 Aug →
nuke5–13-0.0922%21 Aug →
nuke3–9-0.0715%21 Aug →
inferno2–9-0.2313%21 Aug →
nuke9–70.0313%21 Aug →
inferno1–9-0.260%21 Aug →
inferno9–40.0315%21 Aug →
dust25–13-0.0619%13 Aug →
cache9–13-0.0929%13 Aug →
dust212–120.0515%12 Aug →
cache13–50.0317%10 Aug →
cache11–130.0517%8 Aug →
mirage11–40.129%8 Aug →
dust211–130.0117%7 Aug →
mirage13–20.063%7 Aug →
dust211–7-0.057%6 Aug →
dust213–40.089%5 Aug →
anubis13–70.1115%5 Aug →
dust29–130.0216%4 Aug →
dust26–130.0516%3 Aug →
nuke13–7-0.0525%2 Aug →
inferno5–13-0.1017%1 Aug →
cache13–30.1025%1 Aug →
dust213–70.029%31 Jul →
nuke1–13-0.087%31 Jul →
inferno8–13-0.0211%31 Jul →
mirage9–130.0223%31 Jul →
mirage13–110.0420%30 Jul →
ancient13–11-0.0111%30 Jul →
mirage13–30.0211%30 Jul →
mirage13–70.0024%30 Jul →
mirage13–7-0.0110%29 Jul →
anubis13–30.0619%29 Jul →
nuke13–60.0221%29 Jul →
nuke14–160.0110%29 Jul →
mirage13–8-0.056%29 Jul →
ancient8–13-0.0711%29 Jul →
dust25–130.0412%28 Jul →
mirage13–70.128%28 Jul →
mirage13–10.1318%28 Jul →
anubis13–6-0.029%28 Jul →
dust26–13-0.0710%28 Jul →
nuke5–13-0.0717%28 Jul →
nuke7–3-0.0125%28 Jul →
cache6–13-0.0618%27 Jul →
cache9–13-0.0616%27 Jul →
nuke5–13-0.077%27 Jul →
nuke13–9-0.0116%26 Jul →
dust213–11-0.0225%26 Jul →
ancient13–8-0.0222%26 Jul →
nuke15–15-0.0110%25 Jul →
cache8–13-0.068%25 Jul →
mirage3–130.058%24 Jul →
nuke4–13-0.105%24 Jul →
dust26–13-0.0414%24 Jul →
mirage13–10-0.0416%23 Jul →
cache1–13-0.049%23 Jul →
anubis3–13-0.0728%23 Jul →
ancient9–13-0.067%14 Jul →
cache7–13-0.0117%11 Jul →
dust210–13-0.0614%11 Jul →
nuke11–30.0130%11 Jul →
nuke1–13-0.0915%10 Jul →
dust213–90.0114%10 Jul →
office12–12-0.029%10 Jul →
nuke4–13-0.0312%10 Jul →
cache5–13-0.0512%10 Jul →
ancient3–13-0.1119%10 Jul →
cache7–130.0111%9 Jul →
nuke8–130.036%9 Jul →
dust213–110.0217%9 Jul →
dust24–13-0.1218%9 Jul →
ancient13–10.0610%9 Jul →
dust21–13-0.0711%9 Jul →
cache13–11-0.0215%9 Jul →
nuke13–100.0121%8 Jul →
mirage5–13-0.038%8 Jul →
inferno7–9-0.0317%8 Jul →
inferno9–20.128%8 Jul →
dust213–9-0.0111%8 Jul →
cache7–130.015%7 Jul →
mirage10–13-0.028%7 Jul →
nuke10–13-0.0122%7 Jul →
mirage8–13-0.0514%7 Jul →
cache10–130.0517%7 Jul →
mirage13–6-0.0423%7 Jul →
mirage13–40.0920%7 Jul →
cache13–8-0.0110%7 Jul →
train5–13-0.093%6 Jul →
cache13–50.0516%6 Jul →
mirage13–8-0.057%6 Jul →
dust29–13-0.0315%6 Jul →

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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