malaka

malaka — CS2 Stats

US76561198100486915[U:1:140221187]Steam profile ↗✓ No bans

333Tracked matches21%Win rate2024Tracked since
422Hours in CS3Hrs last 2 wks
CSDB Rating4.1 Developing
Premier CS Rating11,168Blue band · top ~48.7% of ranked players (population est.)
CSDB Leaderboard#40892 of 58603 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=3,953), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate51.0%41.5%44.2%above
Shot accuracy0.4%9.1%11.7%11.3% short
Kill/death ratio1.040.981.03meets
Match win rate43.3%43.7%45.2%1.9% short

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

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

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CSDB.GGmalakaPREMIER11,168 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

COLD40573Last 10040%Win rateLLLTLLLLWL

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Aim5.1
Aggression3.2
Utility4.6
Positioning4.8
Opening Duels1.4
Clutch0.0

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 78% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 682ms 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

Aim5.1
Positioning4.8
Utility4.6
Mechanics6.2
Opening Duels1.7
Win Impact0.0

Composite 4.1/10 (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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time683ms−31ms
first ⅓ avg 714ms → last ⅓ avg 683ms
Headshot accuracy15.8%−2.0%
first ⅓ avg 17.9% → last ⅓ avg 15.8%

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

0.13Best rating — dust2 13–7
130Biggest win — mirage
7Longest win streak
L3Current streak
98In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 52% over 21ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B21111052%-0.01
mirageB21101148%-0.01
nukeC146843%-0.01
infernoC125742%0.01
cacheD103730%-0.02
anubisD102820%0.01
ancientD91811%-0.04
overpass220100%0.03
office1010%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,469Lifetime kills
1.04K/D · Top 50% of Blue band
665Matches
43.3%Match win rate
51.0%Headshot % · Top 25% of Blue band
0.4%Shot accuracy
1,323MVPs
234Hours (in match)
591Bombs planted
146Bombs defused

Most-used weapons

Lifetime map wins

892dust2
656inferno
604nuke
279office
265train
212vertigo
54italy
25cbble

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

Faceit stats

Combat

1Matches
100%Win rate
0.86Avg K/D
52.7ADR
17%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLW

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.

15.5%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.8%Spray accuracy
77.7%Counter-strafing
10.4°Preaim
682msReaction time
27.5%T opening success
43.4%CT opening success
0.56Enemies flashed / flash
9.3%Flash assists
11.20HE damage / grenade
6.19Flashes / 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. 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 27.4719% — below the 40% mark we flag

Spend your practice time on Ancient

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache9–130.0115%24 Aug
cache13–16-0.0411%19 Aug
ancient9–13-0.0817%19 Aug
ancient15–15-0.0415%15 Aug
dust26–13-0.0621%13 Aug
inferno11–13-0.0119%13 Aug
mirage5–13-0.0110%11 Aug
anubis9–130.0119%11 Aug
inferno13–10-0.0521%11 Aug
cache10–13-0.106%11 Aug
inferno2–13-0.0411%9 Aug
ancient13–60.0714%9 Aug
nuke8–130.0213%9 Aug
anubis11–130.1013%8 Aug
inferno9–130.0317%8 Aug
nuke9–130.0118%8 Aug
dust216–140.0117%8 Aug
anubis4–13-0.0114%8 Aug
cache8–13-0.025%8 Aug
mirage13–70.0313%8 Aug
ancient10–13-0.0312%6 Aug
mirage7–130.0015%6 Aug
dust20–13-0.0416%6 Aug
cache13–9-0.0225%5 Aug
inferno9–13-0.0214%30 Jul
mirage16–13-0.049%30 Jul
dust213–16-0.0227%30 Jul
mirage6–13-0.0816%28 Jul
mirage6–130.0123%28 Jul
dust22–13-0.1216%28 Jul
dust26–13-0.1129%28 Jul
nuke8–130.0219%28 Jul
cache14–160.0213%28 Jul
nuke9–6-0.0622%28 Jul
mirage13–80.0217%27 Jul
anubis5–13-0.0330%27 Jul
anubis11–13-0.059%27 Jul
dust24–13-0.0256%27 Jul
ancient4–13-0.0735%27 Jul
cache13–70.0420%26 Jul
nuke13–10-0.1021%13 Jul
cache8–13-0.0324%13 Jul
inferno13–110.0216%13 Jul
cache13–110.0222%12 Jul
dust213–50.0528%12 Jul
office11–13-0.0316%12 Jul
cache9–13-0.0624%12 Jul
anubis13–6-0.0034%9 Jul
dust213–40.0317%9 Jul
mirage13–7-0.0129%9 Jul
mirage13–110.0013%2 Jul
inferno16–130.0620%1 Jul
nuke13–100.0126%1 Jul
dust213–4-0.0217%1 Jul
nuke6–13-0.0311%22 Jun
dust211–130.028%22 Jun
overpass13–70.0218%22 Jun
mirage9–13-0.0511%18 Jun
mirage5–13-0.0114%18 Jun
mirage13–60.0019%16 Jun
nuke11–13-0.0722%16 Jun
inferno13–90.0218%16 Jun
dust28–13-0.0512%16 Jun
mirage2–13-0.0812%8 Jun
mirage13–110.0330%8 Jun
nuke13–50.0224%8 Jun
dust213–110.0514%7 Jun
inferno15–150.0416%7 Jun
dust213–80.0326%7 Jun
ancient5–13-0.0611%7 Jun
mirage5–13-0.0918%7 Jun
mirage13–00.0530%3 Jun
inferno15–150.0035%3 Jun
anubis8–130.0318%1 Jun
dust213–110.0116%1 Jun
mirage13–40.0815%1 Jun
nuke8–13-0.0121%1 Jun
ancient4–13-0.056%31 May
mirage5–13-0.0719%31 May
inferno13–80.0113%31 May
dust25–13-0.0432%31 May
ancient10–13-0.0720%31 May
anubis3–13-0.0221%30 May
mirage9–13-0.0327%30 May
nuke13–90.0516%30 May
dust216–12-0.0315%30 May
mirage11–13-0.0414%30 May
dust213–6-0.0123%29 May
dust213–110.0511%29 May
ancient5–13-0.0411%29 May
nuke5–13-0.0514%29 May
mirage13–110.0512%23 May
overpass13–30.0421%23 May
anubis8–13-0.028%23 May
inferno6–130.076%23 May
dust21–13-0.0213%23 May
nuke7–13-0.0420%23 May
nuke13–70.0711%23 May
anubis13–50.0624%23 May
dust213–70.1329%23 May

Match data via Leetify.

Recent teammates

Milestones

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