CakedUpCupcake67

CakedUpCupcake67 — CS2 Stats

DK76561198283843570[U:1:323577842]Steam profile ↗✓ No bans

1,334Tracked matches53%Win rate2020Tracked since
2,326Hours in CS3Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
FaceitLevel 4 · 933 ELOTop 81.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,016 +1,317 24 Mar – 7 May · 6 days played
13,59015,016peak 15,01624 Mar7 May
15,116Peak Premier in tracked matches
933Highest Faceit ELO seen on CSDB
44Days played since 2026-02-19

Faceit ELO

  • At peak — 933
  • Next: Level 5 at 1,051 — 118 to go
  • Reached: Level 4 · Level 3 · Level 2

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate37.8%42.7%43.8%6.0% short
Shot accuracy10.4%11.2%12.0%1.7% short
Kill/death ratio1.040.991.02above
Match win rate40.7%43.9%44.7%4.0% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCakedUpCupcake67FACEITLevel 4 · 933 ELOSTANDINGTop 81.0% of rankedPEAK ELO933csdb.gg/stats

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Performance scores

Aim66
Positioning51
Utility44

0–100 skill scores via Leetify.

Recent form

HOT53–47Last 10053%Win rateWLWLWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.1pp headshot accuracy · +16ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 528ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 530ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 522ms

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 (+1.7 against its own average).

Aim6.6
Utility4.4
Positioning5.1
Opening Duels1.6
Clutch2.6

Strong CT-side openerLimited 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

iM

Plays most like iM 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.6
Positioning5.1
Utility4.4
Mechanics5.6
Opening Duels3.2
Win Impact6.1

Composite 4.9/10 (Developing), 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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time544ms−62ms
first ⅓ avg 606ms → last ⅓ avg 544ms
Headshot accuracy15.3%−1.4%
first ⅓ avg 16.7% → last ⅓ avg 15.3%

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

0.12Best match rating · 9–4 · vertigo, 19 Apr →
30%Best headshot accuracy · 16–14 · ancient, 24 Mar →
375msFastest reaction time · 13–7 · inferno, 15 Oct →
13–2Biggest win · nuke, 22 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
15–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 64% over 11dust2Weakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA3117–1455%-0.00
nukeA2515–1060%-0.02
ancientA116–555%-0.01
anubisA117–464%-0.03
vertigoA95–456%-0.01
dust2C52–340%-0.02
overpass—30–30%-0.02
cache—30–30%-0.04
mirage—11–0100%0.04
train—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,173Lifetime kills
1.04K/D · Top 50% of Level 4 players
3,343Matches
40.7%Match win rate
37.8%Headshot %
10.4%Shot accuracy
6,762MVPs
1,103Hours (in match)
3,288Bombs planted
677Bombs defused

Most-used weapons

AK-4715,409
AWP6,759
AUG1,995
SG 5531,730
MP71,489
MP91,450

Lifetime map wins

5,530inferno
4,074nuke
3,740vertigo
1,783dust2
1,050train
650cbble
201lake
52safehouse

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

Faceit stats

Combat

392Matches
46%Win rate
0.95Avg K/D
74.3ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno7151%1.0414.8
Nuke5744%1.0015.4
Ancient5643%0.9814.4
Anubis5242%0.9615.9
Dust22330%0.9416.0
Train1839%0.8812.3
Vertigo1669%1.1514.8
Overpass1250%1.1914.3

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.

15.8%Headshot accuracy
33.1%Accuracy (enemy spotted)
34.0%Spray accuracy
75.2%Counter-strafing
8.9°Preaim
537msReaction time
39.9%T opening success
45.4%CT opening success
0.43Enemies flashed / flash
5.0%Flash assists
10.39HE damage / grenade
4.23Flashes / 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 0.4264 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 39.8555% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–20.0315%22 Oct →
inferno7–13-0.0730%22 Oct →
inferno13–70.0920%15 Oct →
dust26–13-0.0626%15 Oct →
nuke13–9-0.0214%15 Oct →
nuke16–14-0.0210%24 Sept →
ancient13–80.026%24 Sept →
inferno13–100.0415%23 Sept →
mirage11–50.0423%10 Sept →
nuke9–13-0.0311%10 Sept →
anubis13–11-0.066%10 Sept →
inferno13–100.0324%9 Sept →
vertigo13–80.0216%9 Sept →
anubis13–9-0.0012%3 Sept →
ancient4–13-0.0120%3 Sept →
inferno14–160.0129%1 Sept →
inferno12–16-0.0710%20 Aug →
nuke10–13-0.0525%20 Aug →
inferno13–110.0118%20 Aug →
nuke7–13-0.0812%13 Aug →
nuke10–13-0.0316%13 Aug →
anubis11–13-0.0615%6 Aug →
vertigo11–13-0.0510%6 Aug →
inferno7–13-0.0918%6 Aug →
anubis13–7-0.055%12 Jul →
anubis6–13-0.0613%25 Jun →
inferno13–8-0.0110%25 Jun →
inferno13–110.0420%18 Jun →
vertigo11–13-0.0522%18 Jun →
inferno13–80.019%15 Jun →
nuke16–120.0112%15 Jun →
overpass12–160.0114%11 Jun →
ancient6–13-0.020%11 Jun →
anubis4–130.0213%11 Jun →
nuke3–13-0.0711%30 May →
ancient10–13-0.060%30 May →
nuke17–19-0.0312%26 May →
dust28–13-0.0116%25 May →
inferno13–11-0.0111%25 May →
ancient13–100.0119%21 May →
inferno13–8-0.0013%21 May →
nuke13–10-0.0125%21 May →
dust222–250.0114%14 May →
nuke13–90.0321%14 May →
inferno8–130.0214%14 May →
inferno9–13-0.0318%7 May →
nuke13–110.0516%7 May →
nuke14–160.0122%6 May →
cache10–130.0120%2 May →
vertigo16–13-0.0210%2 May →
cache6–13-0.0822%1 May →
vertigo13–11-0.0715%1 May →
inferno13–40.0322%30 Apr →
inferno4–13-0.0911%30 Apr →
cache6–13-0.0526%30 Apr →
ancient13–6-0.0110%23 Apr →
vertigo13–10-0.0220%23 Apr →
nuke13–4-0.0321%23 Apr →
inferno13–10-0.0121%21 Apr →
anubis13–80.0214%21 Apr →
vertigo9–40.1224%19 Apr →
inferno4–9-0.0415%19 Apr →
nuke5–9-0.0714%19 Apr →
anubis13–11-0.0219%18 Apr →
dust213–8-0.0415%18 Apr →
nuke13–11-0.0211%18 Apr →
ancient13–7-0.0518%18 Apr →
inferno8–13-0.0419%17 Apr →
nuke13–60.0114%17 Apr →
ancient7–13-0.0214%9 Apr →
inferno9–13-0.0529%9 Apr →
dust216–13-0.0116%8 Apr →
inferno13–30.019%4 Apr →
overpass11–130.0016%4 Apr →
nuke13–80.0424%3 Apr →
inferno13–110.0615%3 Apr →
vertigo8–130.0127%3 Apr →
nuke5–13-0.0713%3 Apr →
inferno13–110.0212%3 Apr →
train9–13-0.0226%2 Apr →
anubis9–10.0117%2 Apr →
nuke19–17-0.0613%2 Apr →
inferno13–50.0316%2 Apr →
ancient16–140.0030%24 Mar →
inferno13–6-0.0028%24 Mar →
anubis13–9-0.0316%24 Mar →
nuke13–30.028%24 Mar →
inferno10–13-0.0425%19 Mar →
nuke13–10-0.0218%19 Mar →
anubis10–13-0.0614%19 Mar →
overpass8–13-0.083%12 Mar →
ancient11–13-0.068%12 Mar →
inferno14–160.0116%26 Feb →
ancient13–110.069%26 Feb →
nuke11–13-0.049%26 Feb →
inferno13–11-0.0119%25 Feb →
vertigo10–13-0.0312%24 Feb →
inferno11–13-0.0119%24 Feb →
inferno8–13-0.0019%23 Feb →
nuke13–8-0.0517%19 Feb →

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.