Cakey

Cakey — CS2 Stats

76561198294915570[U:1:334649842]Steam profile ↗✓ No bans

1,052Tracked matches41%Win rate2022Tracked since
CSDB Rating5.9 SolidAll-Rounder
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,999 +2,423 3 Jul – 29 Sept · 7 days played
12,57614,999peak 14,9993 Jul29 Sept
14,999Peak Premier in tracked matches
24Days played since 2026-07-03

Premier CS Rating

  • At peak — 14,999
  • +2,423 over 90 days
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-23
  • Light Blue band first seen 2026-09-23

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

Share this profile

CSDB.GGCakeyPREMIER14,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning56
Utility60

0–100 skill scores via Leetify.

Recent form

COLD43–50–7Last 10043%Win rateLWTWLLLLLL

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · −3.1pp headshot accuracy · +15ms reaction

Win rate down 20pp 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 572ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 592ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 585ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.5
Utility6.0
Positioning5.6
Opening Duels4.1

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

jL

Plays most like jL 92% 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

Reaction time. 599ms 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

Aim7.5
Positioning5.6
Utility6.0
Mechanics7.7
Opening Duels6.0
Win Impact2.1

Composite 5.9/10 (Solid), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time611ms−30ms
first ⅓ avg 641ms → last ⅓ avg 611ms
Headshot accuracy23.3%−0.7%
first ⅓ avg 24.0% → last ⅓ avg 23.3%

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

0.17Best match rating · 13–7 · office, 8 Sept →
58%Best headshot accuracy · 13–6 · dust2, 12 Sept →
422msFastest reaction time · 12–12 · mirage, 16 Sept →
13–0Biggest win · mirage, 17 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–4In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 63% over 16nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D3913–2633%-0.01
infernoB2110–1148%0.01
mirageA1610–663%-0.01
officeD62–433%0.07
nukeD51–420%-0.02
anubis—43–175%0.02
vertigo—31–233%0.02
ancient—32–167%-0.02
cache—21–150%0.00
train—10–10%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

23.8%Headshot accuracy
32.6%Accuracy (enemy spotted)
36.6%Spray accuracy
84.5%Counter-strafing
10.0°Preaim
599msReaction time
59.7%T opening success
48.1%CT opening success
0.73Enemies flashed / flash
10.1%Flash assists
11.04HE damage / grenade
8.87Flashes / match

Recommended for you

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
office8–130.1534%2 Oct →
dust213–2-0.0133%2 Oct →
mirage12–120.0120%2 Oct →
dust213–110.035%2 Oct →
dust28–130.0126%1 Oct →
inferno4–13-0.0719%1 Oct →
dust210–130.0731%1 Oct →
dust24–6-0.120%1 Oct →
nuke1–13-0.0410%1 Oct →
dust27–13-0.0120%1 Oct →
dust210–13-0.0338%30 Sept →
vertigo13–10-0.0026%30 Sept →
inferno13–9-0.0120%30 Sept →
dust25–13-0.0617%30 Sept →
dust29–13-0.0421%30 Sept →
inferno13–70.0830%30 Sept →
mirage13–6-0.048%29 Sept →
cache6–13-0.0322%29 Sept →
nuke8–13-0.0328%29 Sept →
inferno5–13-0.0722%19 Sept →
dust28–13-0.0129%19 Sept →
dust213–20.0033%18 Sept →
inferno13–10.0920%18 Sept →
dust29–13-0.0219%18 Sept →
office13–50.0632%18 Sept →
dust26–130.0130%18 Sept →
dust24–130.0132%18 Sept →
dust213–70.0332%17 Sept →
dust213–8-0.0124%17 Sept →
mirage13–0-0.0117%17 Sept →
inferno13–40.0315%17 Sept →
mirage13–110.0629%17 Sept →
dust213–60.0527%17 Sept →
dust212–12-0.0324%17 Sept →
inferno13–90.1024%17 Sept →
dust25–13-0.0524%17 Sept →
mirage13–30.0724%17 Sept →
dust213–10-0.0133%16 Sept →
mirage12–12-0.0524%16 Sept →
ancient13–5-0.0319%15 Sept →
inferno8–130.0232%15 Sept →
inferno13–11-0.0313%15 Sept →
dust213–40.0840%15 Sept →
mirage4–12-0.0219%15 Sept →
inferno12–120.0422%15 Sept →
dust24–13-0.0523%15 Sept →
dust23–13-0.0331%15 Sept →
vertigo6–130.0526%15 Sept →
dust211–13-0.0526%14 Sept →
dust210–130.0122%14 Sept →
inferno13–60.0329%14 Sept →
mirage5–130.0932%14 Sept →
train12–120.0423%14 Sept →
dust25–13-0.0433%14 Sept →
dust23–13-0.0726%14 Sept →
dust26–13-0.0719%14 Sept →
dust24–13-0.0125%14 Sept →
inferno10–13-0.0129%14 Sept →
anubis13–30.0615%14 Sept →
nuke0–2-0.0850%14 Sept →
dust213–9-0.0722%14 Sept →
dust213–110.0330%13 Sept →
mirage13–90.0121%13 Sept →
vertigo10–130.0128%13 Sept →
office9–130.0850%13 Sept →
dust20–13-0.0354%13 Sept →
mirage3–13-0.1013%12 Sept →
mirage13–60.0141%12 Sept →
dust213–6-0.0358%12 Sept →
office8–130.0230%12 Sept →
anubis5–13-0.0314%11 Sept →
mirage10–13-0.0630%11 Sept →
inferno13–10.1015%11 Sept →
dust23–100.0316%11 Sept →
dust213–30.0243%11 Sept →
dust27–13-0.0415%11 Sept →
mirage13–10-0.0422%11 Sept →
inferno12–120.0925%11 Sept →
inferno2–13-0.0611%10 Sept →
mirage13–90.0030%10 Sept →
dust25–130.1031%10 Sept →
inferno10–13-0.0130%9 Sept →
anubis13–50.0319%8 Sept →
office13–70.1725%8 Sept →
dust27–130.0218%6 Sept →
office10–13-0.0521%6 Sept →
inferno11–13-0.0146%5 Sept →
anubis8–10.0423%5 Sept →
mirage13–5-0.0316%5 Sept →
inferno12–12-0.0327%5 Sept →
ancient10–13-0.0019%12 Aug →
nuke9–13-0.0121%30 Jul →
inferno13–5-0.0136%9 Jul →
nuke13–40.0830%9 Jul →
cache13–90.0314%9 Jul →
inferno13–11-0.067%6 Jul →
ancient13–4-0.0215%5 Jul →
mirage13–7-0.0415%5 Jul →
inferno6–130.0118%3 Jul →
dust213–70.0215%3 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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