cakirrrrrr

cakirrrrrr — CS2 Stats

GB76561198886417381[U:1:926151653]Steam profile ↗✓ No bans

2,575Tracked matches43%Win rate2021Tracked since
10,026Hours in CS6Hrs last 2 wks
CSDB Rating4.0 DevelopingSupport
Ladder ranks via Leetify

Performance scores

Aim50
Positioning42
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY38–62Last 10038%Win rateLLLLLWWWWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +3.3pp headshot accuracy · +62ms reaction

Win rate 0pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 698ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 741ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 711ms

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 (+1.2 against its own average).

Aim5.0
Utility4.5
Positioning4.2
Opening Duels1.5
Clutch3.2

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 704ms 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

Aim5.0
Positioning4.2
Utility4.5
Mechanics6.8
Opening Duels1.0
Win Impact2.8

Composite 4.0/10 (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-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time701ms+41ms
first ⅓ avg 661ms → last ⅓ avg 701ms
Headshot accuracy16.2%−3.7%
first ⅓ avg 19.8% → last ⅓ avg 16.2%

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

0.11Best match rating · 13–8 · anubis, 30 Jan →
33%Best headshot accuracy · 13–8 · anubis, 18 Feb →
484msFastest reaction time · 13–10 · anubis, 12 Sept →
13–2Biggest win · mirage, 5 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
7–14In matches decided by ≤2 rounds
16Overtime games

Map breakdown

anubisBest map · 59% over 22dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
anubisA2213–959%0.01
ancientD227–1532%-0.01
infernoD174–1324%-0.02
dust2D112–918%-0.03
mirageC94–544%-0.02
nukeB84–450%-0.02
cache—42–250%-0.06
overpass—31–233%0.01
train—31–233%-0.02
vertigo—10–10%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,186Lifetime kills
0.87K/D
3,964Matches
50.5%Match win rate · Top 25% of tracked players
43.4%Headshot %
13.0%Shot accuracy · Top 50% of tracked players
10,648MVPs
2,183Hours (in match)
2,572Bombs planted
914Bombs defused

Most-used weapons

AK-4728,241
AWP7,663
Knife3,106
FAMAS2,596
MP92,353

Lifetime map wins

15,100inferno
7,142dust2
3,615nuke
3,130vertigo
880train
19office
17cbble
12safehouse

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

Faceit stats

Combat

3,988Matches
50%Win rate
1.00Avg K/D
81.3ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis38156%1.0516.8
Inferno28947%0.9915.9
Ancient27652%0.9816.5
Mirage18539%0.8914.6
Dust216648%0.9115.3
Nuke11346%0.9816.1
Overpass5260%1.0216.8
Vertigo4137%0.8815.1

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.

16.3%Headshot accuracy
34.2%Accuracy (enemy spotted)
35.1%Spray accuracy
80.5%Counter-strafing
11.4°Preaim
704msReaction time
29.5%T opening success
37.9%CT opening success
0.54Enemies flashed / flash
10.7%Flash assists
6.13HE damage / grenade
5.04Flashes / 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 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 704.2885ms — above the 700ms mark we flag

    Aim Training →
  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 29.5151% — 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.

18% win rate across 11 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
inferno7–13-0.0219%18 Oct →
cache7–13-0.0620%5 Oct →
cache5–13-0.1114%15 Jun →
anubis11–13-0.0317%29 Apr →
ancient5–13-0.046%27 Apr →
dust213–90.0225%27 Apr →
cache13–10-0.0321%25 Apr →
cache13–10-0.0321%25 Apr →
anubis16–13-0.0525%23 Apr →
dust29–13-0.0812%19 Mar →
ancient8–13-0.0516%19 Mar →
ancient13–6-0.0414%18 Mar →
ancient7–13-0.0716%16 Mar →
ancient7–13-0.114%13 Mar →
ancient11–13-0.0316%13 Mar →
overpass14–160.0315%28 Feb →
dust213–10-0.0110%26 Feb →
inferno7–13-0.0317%25 Feb →
ancient13–80.0420%21 Feb →
anubis13–11-0.0119%21 Feb →
inferno13–4-0.0319%15 Feb →
mirage4–13-0.0411%27 Sept →
train5–13-0.0714%25 Sept →
dust28–13-0.0420%23 Sept →
overpass9–13-0.0018%15 Sept →
overpass16–13-0.0114%14 Sept →
nuke16–13-0.0417%30 Aug →
inferno6–130.0317%19 Jun →
mirage13–11-0.0416%18 Jun →
nuke13–6-0.0410%10 Apr →
anubis9–13-0.0122%8 Apr →
dust210–13-0.0515%2 Apr →
ancient6–130.0213%27 Mar →
dust27–13-0.0415%25 Mar →
inferno13–50.0219%4 Mar →
anubis13–100.0711%2 Mar →
inferno19–170.0214%2 Mar →
anubis14–160.039%22 Feb →
anubis13–8-0.0333%18 Feb →
anubis7–13-0.0121%13 Feb →
nuke13–4-0.0629%13 Feb →
ancient13–90.0626%12 Feb →
inferno6–13-0.0520%1 Feb →
anubis13–80.1121%30 Jan →
inferno6–13-0.0332%29 Jan →
inferno6–13-0.0319%27 Jan →
ancient17–190.0320%23 Jan →
inferno11–13-0.0115%20 Jan →
ancient11–130.0421%18 Jan →
dust27–13-0.0516%13 Jan →
anubis2–13-0.0320%9 Jan →
ancient5–13-0.0219%2 Jan →
train10–130.0214%29 Dec →
inferno13–160.0118%22 Dec →
ancient8–13-0.017%21 Dec →
vertigo14–16-0.0013%20 Dec →
inferno25–23-0.0012%13 Dec →
nuke9–13-0.0413%9 Dec →
ancient13–16-0.0313%9 Dec →
ancient13–6-0.0213%8 Dec →
inferno6–13-0.0221%6 Dec →
mirage13–2-0.078%5 Dec →
ancient9–13-0.0517%1 Dec →
anubis16–13-0.0120%30 Nov →
mirage13–3-0.002%25 Nov →
mirage8–13-0.0819%24 Nov →
inferno5–13-0.0217%24 Nov →
mirage6–130.0222%22 Nov →
ancient6–13-0.0118%22 Nov →
dust211–130.0021%19 Nov →
mirage12–16-0.0221%17 Nov →
ancient13–90.0521%15 Nov →
train16–12-0.0213%14 Nov →
mirage4–13-0.0323%12 Nov →
anubis13–110.0122%30 Sept →
ancient7–130.0121%29 Sept →
mirage13–80.0313%28 Sept →
anubis10–130.0119%24 Sept →
anubis16–140.0428%24 Sept →
inferno4–13-0.0620%23 Sept →
nuke17–190.0019%21 Sept →
anubis13–2-0.0233%21 Sept →
ancient13–100.0515%19 Sept →
nuke13–9-0.0518%18 Sept →
anubis10–13-0.0216%18 Sept →
anubis13–60.1019%16 Sept →
anubis13–11-0.0019%13 Sept →
anubis13–100.0315%12 Sept →
ancient13–10-0.0216%6 Aug →
dust23–13-0.0410%4 Aug →
ancient9–130.0030%4 Aug →
anubis6–13-0.0427%29 Jul →
inferno11–13-0.0122%27 Jul →
anubis13–80.0922%22 Jul →
nuke8–130.0128%20 Jul →
nuke11–130.0120%20 Jul →
dust28–13-0.0630%19 Jul →
dust211–130.0017%16 Jul →
inferno11–13-0.0314%16 Jul →
anubis2–13-0.093%14 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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