☆Kakaladze☆

☆Kakaladze☆ — CS2 Stats

PL76561198130964097[U:1:170698369]Steam profile ↗✓ No bans

500Tracked matches34%Win rate2020Tracked since
787Hours in CS
CSDB Rating3.9 Learning
Premier CS Rating15,453Purple band · top ~26.6% of ranked players (population est.)
CSDB Leaderboard#32500 of 55589 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate35.6%44.2%47.1%11.5% short
Shot accuracy18.0%11.6%12.8%above
Kill/death ratio1.311.031.08above
Match win rate42.7%45.2%46.6%3.9% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GG☆Kakaladze☆PREMIER15,453 · Purple bandcsdb.gg/stats

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Performance scores

Aim54
Positioning42
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY474112Last 10047%Win rateWLLLWTLLWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.4
Aggression5.8
Utility1.3
Positioning4.2
Opening Duels2.6

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

NiKo

Plays most like NiKo 76% playstyle similarity

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

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.

T-side openings. Opening success drops from 52% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 638ms 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

Aim5.4
Positioning4.2
Utility1.3
Mechanics6.4
Opening Duels2.7
Win Impact0.0

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.04
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time629ms−18ms
first ⅓ avg 648ms → last ⅓ avg 629ms
Headshot accuracy15.5%+1.3%
first ⅓ avg 14.2% → last ⅓ avg 15.5%

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

0.25Best rating — overpass 9–2
131Biggest win — cache
8Longest win streak
53In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 78% over 9nukeWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
cacheB28141450%-0.02
overpassB1991047%0.02
infernoB168850%-0.01
nukeC125742%-0.01
vertigoS97278%0.02
ancient41325%-0.05
office42250%-0.01
mirage3030%-0.08
dust221150%-0.03
boulder1010%-0.06
train1010%-0.06
italy1010%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,126Lifetime kills
1.31K/D · Top 10% of Purple band
2,118Matches
42.7%Match win rate
35.6%Headshot %
18.0%Shot accuracy · Top 10% of Purple band
4,558MVPs
787Hours (in match)
1,603Bombs planted
400Bombs defused

Most-used weapons

AK-4713,128
AWP5,295
FAMAS1,395
MP71,381
SG 5531,150

Lifetime map wins

3,096inferno
2,219dust2
669nuke
491vertigo
355train
170office
133cbble
35stmarc

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

Faceit stats

Combat

1Matches
0%Win rate
0.92Avg K/D
ADR
18%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

16.5%Headshot accuracy
32.7%Accuracy (enemy spotted)
36.8%Spray accuracy
79.0%Counter-strafing
11.6°Preaim
638msReaction time
29.1%T opening success
51.7%CT opening success
0.19Enemies flashed / flash
0.5%Flash assists
4.00HE damage / grenade
2.16Flashes / 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 0.1944 — 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 29.0561% — below the 40% mark we flag

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0326%4 Aug
ancient5–13-0.0211%4 Aug
inferno5–13-0.0724%3 Aug
cache1–13-0.0624%3 Aug
inferno9–6-0.0520%3 Aug
inferno8–8-0.0315%2 Aug
overpass3–13-0.0315%25 Jul
office3–130.0415%25 Jul
cache10–20.0611%25 Jul
vertigo9–40.0614%25 Jul
nuke8–8-0.0617%25 Jul
vertigo9–5-0.0814%25 Jul
overpass9–20.159%25 Jul
inferno9–30.0533%25 Jul
boulder8–13-0.0616%25 Jul
overpass10–13-0.058%25 Jul
cache13–6-0.0215%25 Jul
overpass13–80.0213%24 Jul
cache13–60.0110%24 Jul
inferno8–80.0315%23 Jul
overpass9–20.259%23 Jul
vertigo9–2-0.040%23 Jul
nuke9–30.0923%23 Jul
inferno9–5-0.0519%23 Jul
overpass6–13-0.0123%22 Jul
nuke9–50.0011%22 Jul
nuke6–9-0.0410%22 Jul
vertigo9–20.1715%22 Jul
inferno9–30.0918%22 Jul
overpass9–7-0.0111%22 Jul
overpass9–40.038%21 Jul
vertigo9–50.0122%21 Jul
inferno9–50.1018%21 Jul
nuke9–70.0513%21 Jul
overpass13–100.0514%15 Jul
office5–13-0.0313%15 Jul
cache11–130.0222%14 Jul
office7–6-0.0417%14 Jul
nuke9–3-0.0429%14 Jul
dust26–13-0.036%27 Jun
overpass5–13-0.0815%27 Jun
cache13–90.0114%27 Jun
inferno8–8-0.0825%27 Jun
overpass7–9-0.0311%27 Jun
nuke3–9-0.1311%27 Jun
vertigo6–9-0.0322%27 Jun
inferno9–60.0121%27 Jun
overpass7–13-0.0310%25 Jun
cache12–120.0317%25 Jun
nuke5–130.0520%23 Jun
vertigo1–13-0.0916%23 Jun
cache13–8-0.0611%23 Jun
overpass13–50.0621%23 Jun
ancient5–13-0.0835%15 Jun
train4–13-0.0619%13 Jun
cache8–13-0.0223%13 Jun
inferno8–13-0.0015%3 Jun
cache13–10-0.048%3 Jun
mirage0–13-0.1119%3 Jun
cache13–5-0.0317%2 Jun
cache4–13-0.0533%24 May
cache2–13-0.0721%24 May
cache13–9-0.0122%24 May
cache12–12-0.0313%24 May
cache10–13-0.0220%22 May
cache3–13-0.0021%22 May
cache12–120.0214%22 May
cache10–13-0.0312%20 May
cache3–13-0.027%20 May
cache13–10-0.077%18 May
cache13–90.0135%18 May
cache13–11-0.0616%16 May
cache7–13-0.0710%16 May
cache13–10.0314%16 May
cache13–80.0414%16 May
cache12–12-0.0717%16 May
cache13–11-0.0612%16 May
inferno3–130.0021%25 Apr
mirage12–12-0.077%25 Sept
overpass13–4-0.029%25 Sept
inferno9–13-0.038%24 Sept
nuke9–20.028%24 Sept
overpass9–40.0822%24 Sept
vertigo9–30.179%24 Sept
inferno5–9-0.133%24 Sept
nuke9–13-0.0510%23 Sept
overpass8–13-0.0216%23 Sept
mirage5–13-0.0423%23 Sept
overpass9–13-0.0320%22 Sept
inferno13–2-0.0519%22 Sept
nuke10–13-0.0220%22 Sept
ancient12–12-0.0631%22 Sept
inferno13–2-0.0212%20 Sept
nuke12–12-0.034%20 Sept
overpass8–13-0.0720%20 Sept
italy12–12-0.0910%20 Sept
overpass11–130.0713%19 Sept
office13–7-0.0118%19 Sept
ancient13–9-0.036%19 Sept
vertigo13–8-0.0018%19 Sept

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →