kayla547320958732440

kayla547320958732440 — CS2 Stats

LS76561199204169292[U:1:1243903564]Steam profile ↗✓ No bans

1,795Tracked matches50%Win rate2022Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating13,873Blue band · top ~34.4% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

−1239Premier CS Rating · 15,112 → 13,873

Rating over time

Premier CS Rating: 13,873 -2,135 11 Apr – 30 Oct · 24 days played
11,20417,021peak 17,02111 Apr30 Oct
17,021Peak Premier in tracked matches
45Days played since 2026-03-25

Premier CS Rating

  • 3,148 below peak (17,021)
  • -610 over 30 days · declining
  • Next: Purple band at 15,000 — 1,127 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGkayla547320958732440FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER13,873 · Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning54
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWWWWLLLWLW

Last 10 vs previous 10: +40pp win rate · −0.00 avg rating · +9.4pp headshot accuracy · +79ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 635ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 34%
  • Avg reaction 677ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • 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 (+1.5 against its own average).

Aim6.3
Utility3.3
Positioning5.4
Opening Duels3.7
Clutch3.4

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

m0NESY

Plays most like m0NESY 88% 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

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. 635ms 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

Aim6.3
Positioning5.4
Utility3.3
Mechanics6.2
Opening Duels6.1
Win Impact5.0

Composite 5.2/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time659ms+17ms
first ⅓ avg 642ms → last ⅓ avg 659ms
Headshot accuracy27.3%+5.1%
first ⅓ avg 22.3% → last ⅓ avg 27.3%

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

0.21Best match rating · 9–2 · nuke, 10 Apr →
67%Best headshot accuracy · 13–4 · cache, 8 Oct →
391msFastest reaction time · 13–9 · nuke, 29 Sept →
13–2Biggest win · nuke, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
11–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 71% over 7nukeWeakest map · 32% over 25
MapGradePlayedRecordWin rateAvg rating
nukeD258–1732%-0.00
mirageA2011–955%0.01
dust2C198–1142%-0.03
cacheB126–650%0.02
ancientS75–271%0.02
infernoD62–433%0.02
anubisA53–260%0.04
vertigo—20–20%-0.10
train—22–0100%0.04
office—10–10%-0.09
shelter—11–0100%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,405Matches
50%Win rate
1.09Avg K/D
76.8ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage24350%1.0016.4
Anubis15356%1.0816.5
Dust29247%1.0916.1
Nuke8852%1.0917.3
Vertigo7561%1.1116.8
Inferno6850%1.0316.6
Ancient5934%0.9514.9
Overpass2955%0.9916.4

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.

25.6%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.6%Spray accuracy
77.7%Counter-strafing
11.8°Preaim
635msReaction time
60.1%T opening success
48.6%CT opening success
0.43Enemies flashed / flash
6.9%Flash assists
4.93HE damage / grenade
4.66Flashes / 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

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

    Enemies flashed per flash 0.4279 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

32% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–60.0938%30 Oct →
mirage13–80.0332%26 Oct →
nuke13–20.0231%17 Oct →
mirage13–5-0.0317%9 Oct →
vertigo5–9-0.2125%9 Oct →
dust210–13-0.0711%9 Oct →
cache7–13-0.0538%8 Oct →
cache13–40.1267%8 Oct →
nuke8–130.0132%8 Oct →
mirage13–5-0.0048%8 Oct →
dust24–13-0.1040%7 Oct →
nuke13–9-0.0516%7 Oct →
nuke2–40.0236%7 Oct →
dust29–13-0.0664%7 Oct →
mirage9–130.0629%7 Oct →
office9–13-0.097%5 Oct →
nuke7–130.0516%5 Oct →
mirage5–130.009%4 Oct →
cache9–130.0113%3 Oct →
inferno13–50.0816%3 Oct →
cache13–90.0216%3 Oct →
inferno4–9-0.1225%3 Oct →
nuke4–9-0.0128%3 Oct →
mirage13–70.0118%3 Oct →
mirage16–12-0.0222%3 Oct →
anubis16–140.0523%2 Oct →
cache2–12-0.0619%2 Oct →
vertigo6–90.0031%2 Oct →
nuke4–9-0.1230%2 Oct →
nuke13–100.0221%1 Oct →
nuke5–9-0.0750%1 Oct →
nuke3–9-0.1811%1 Oct →
nuke9–7-0.0726%1 Oct →
nuke9–70.1621%1 Oct →
nuke8–8-0.0121%1 Oct →
inferno4–130.0623%1 Oct →
mirage13–100.0431%1 Oct →
cache13–70.0129%1 Oct →
nuke9–13-0.0415%29 Sept →
dust27–13-0.0414%29 Sept →
mirage12–20.069%29 Sept →
dust213–110.0630%29 Sept →
nuke13–90.0140%29 Sept →
cache13–60.0113%29 Sept →
ancient13–100.0128%25 Sept →
dust213–80.0422%25 Sept →
nuke11–130.0128%13 Sept →
mirage13–100.0325%9 Sept →
dust24–13-0.0526%5 Sept →
inferno8–13-0.0130%5 Sept →
dust213–11-0.0832%5 Sept →
dust213–11-0.0220%5 Sept →
ancient13–20.049%3 Sept →
inferno13–110.0427%2 Sept →
mirage4–13-0.0833%1 Sept →
dust28–13-0.0721%23 Aug →
nuke1–130.0424%23 Aug →
anubis13–30.1420%23 Aug →
dust26–13-0.0113%23 Aug →
cache10–13-0.0221%23 Aug →
dust213–30.0030%23 Aug →
ancient9–13-0.0316%20 Aug →
mirage15–15-0.0130%20 Aug →
anubis2–13-0.0816%14 Aug →
mirage12–160.0120%31 Jul →
dust26–13-0.016%24 Jul →
nuke10–130.0815%24 Jul →
nuke4–13-0.0831%23 Jul →
cache2–13-0.0224%23 Jul →
nuke13–4-0.0629%23 Jul →
shelter13–40.0317%22 Jul →
nuke0–9-0.137%19 Jul →
mirage13–110.0326%19 Jul →
mirage9–13-0.0539%2 Jul →
dust213–11-0.0621%30 Jun →
mirage13–30.0215%30 Jun →
nuke2–130.1221%30 Jun →
mirage13–80.0017%18 Jun →
mirage8–13-0.0311%18 Jun →
ancient13–9-0.0619%18 Jun →
mirage12–160.1020%17 Jun →
inferno7–130.0730%16 Jun →
anubis13–110.0121%14 May →
anubis14–160.0720%11 May →
cache13–50.0835%4 May →
cache3–130.0438%28 Apr →
ancient6–13-0.0215%22 Apr →
train13–80.0133%22 Apr →
train13–70.0721%22 Apr →
dust213–70.0116%22 Apr →
dust29–13-0.0521%18 Apr →
dust27–13-0.0527%13 Apr →
ancient13–110.0817%11 Apr →
ancient13–50.1115%11 Apr →
dust213–5-0.0124%11 Apr →
nuke9–20.2115%10 Apr →
dust211–130.0224%5 Apr →
nuke11–13-0.0027%29 Mar →
nuke4–9-0.0626%27 Mar →
mirage9–13-0.0614%25 Mar →

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 →

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