MΛKO — CS2 Stats

76561198168311919[U:1:208046191]

1,440Tracked matches48%Win rate2020Tracked since
CSDB Rating5.0 DevelopingClutch Specialist
Premier CS Rating13,197Blue band · top ~38% of ranked players (population est.)
CSDB Leaderboard#23813 of 35699 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMΛKOFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER13,197 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning40
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY50464Last 10050%Win rateLLLWWWLLTW

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.5
Aggression4.6
Utility6.4
Positioning4.0
Opening Duels0.7
Clutch10.0

Reliable in 1v1s

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 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 577ms 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

Aim6.5
Positioning4.0
Utility6.4
Mechanics6.5
Opening Duels1.1
Win Impact4.4

Composite 5.0/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time599ms−95ms
first ⅓ avg 693ms → last ⅓ avg 599ms
Headshot accuracy16.8%−0.4%
first ⅓ avg 17.2% → last ⅓ avg 16.8%

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

0.09Best rating — anubis 13–8
131Biggest win — inferno
8Longest win streak
L3Current streak
413In matches decided by ≤2 rounds
17Overtime games

Map breakdown

nukeBest map · 100% over 5infernoWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
infernoD2061430%-0.02
anubisA1811761%-0.01
ancientA1710759%-0.01
dust2D1651131%-0.04
mirageA116555%-0.02
cacheA106460%-0.02
nukeS550100%-0.02
overpass2020%-0.04
vertigo110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

313Matches
47%Win rate
0.89Avg K/D
95.5ADR
37%Headshot %

Clutches & streaks

100%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient20%0.498.0
Dust21100%1.4014.0
Anubis10%0.5310.0
Mirage10%1.0017.0

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.

16.7%Headshot accuracy
32.0%Accuracy (enemy spotted)
36.2%Spray accuracy
79.1%Counter-strafing
9.4°Preaim
577msReaction time
27.4%T opening success
38.4%CT opening success
0.53Enemies flashed / flash
5.2%Flash assists
9.12HE damage / grenade
15.19Flashes / 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 27.4124% — below the 40% mark we flag

Spend your practice time on Inferno

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

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno14–16-0.0115%29 Aug
dust27–130.0323%29 Aug
ancient11–13-0.0320%28 Aug
inferno13–110.0118%26 Aug
anubis13–80.0920%26 Aug
vertigo13–60.0221%26 Aug
anubis5–13-0.1217%26 Aug
inferno6–9-0.0517%26 Aug
inferno15–15-0.0422%25 Aug
anubis13–90.0219%25 Aug
mirage12–5-0.0126%25 Aug
inferno9–130.0027%24 Aug
nuke13–70.0112%23 Aug
anubis13–100.0113%23 Aug
ancient13–50.037%23 Aug
ancient13–70.0418%23 Aug
anubis13–70.0013%20 Aug
inferno12–16-0.0414%19 Aug
dust213–3-0.0518%19 Aug
anubis13–16-0.0524%19 Aug
mirage9–13-0.0618%19 Aug
dust26–13-0.0412%18 Aug
anubis11–13-0.0815%18 Aug
cache8–13-0.1010%17 Aug
dust26–13-0.0621%16 Aug
anubis13–110.0310%16 Aug
inferno13–9-0.0113%16 Aug
inferno4–130.0011%13 Aug
mirage3–13-0.0618%13 Aug
dust213–10-0.0713%12 Aug
dust27–13-0.0914%12 Aug
mirage13–5-0.0219%12 Aug
dust214–16-0.0720%10 Aug
inferno9–13-0.0725%9 Aug
ancient13–100.0112%9 Aug
anubis6–10.0450%9 Aug
cache13–9-0.0218%9 Aug
dust213–9-0.0215%9 Aug
inferno13–1-0.0622%4 Aug
anubis13–9-0.0619%4 Aug
mirage13–8-0.0411%4 Aug
cache13–8-0.0118%2 Aug
inferno3–13-0.0414%2 Aug
dust26–13-0.0717%2 Aug
cache8–13-0.0215%1 Aug
cache13–9-0.0622%1 Aug
cache13–80.0021%1 Aug
ancient11–13-0.0414%1 Aug
anubis15–150.0116%31 Jul
inferno15–15-0.0516%31 Jul
ancient13–4-0.0611%31 Jul
nuke13–9-0.0516%31 Jul
cache13–70.0116%30 Jul
ancient13–6-0.017%30 Jul
ancient9–13-0.0310%30 Jul
dust213–70.0311%30 Jul
dust213–60.0214%30 Jul
mirage13–5-0.0014%30 Jul
inferno13–30.0129%22 Jul
dust28–13-0.0520%22 Jul
ancient6–13-0.0423%22 Jul
cache11–130.0318%21 Jul
anubis4–13-0.079%20 Jul
ancient16–13-0.0112%20 Jul
anubis14–160.0314%20 Jul
mirage13–9-0.039%20 Jul
dust211–13-0.1030%17 Jul
dust213–16-0.0616%17 Jul
mirage5–130.0026%17 Jul
anubis13–10.0727%15 Jul
cache13–90.0322%15 Jul
inferno13–110.0116%13 Jul
mirage13–50.0320%13 Jul
cache7–13-0.0811%13 Jul
dust212–16-0.0414%12 Jul
nuke13–7-0.0319%12 Jul
anubis6–13-0.066%12 Jul
ancient13–4-0.0216%12 Jul
ancient13–60.0214%12 Jul
nuke13–40.0320%4 Jul
inferno11–130.0820%4 Jul
anubis13–30.0221%3 Jul
overpass14–16-0.059%3 Jul
ancient13–100.0127%2 Jul
inferno11–13-0.0311%2 Jul
ancient16–120.0317%2 Jul
anubis16–14-0.0317%1 Jul
inferno11–13-0.027%1 Jul
inferno8–130.0120%1 Jul
nuke13–6-0.087%1 Jul
overpass14–16-0.0216%29 Jun
dust29–130.008%29 Jun
ancient3–13-0.0535%29 Jun
mirage9–13-0.0013%29 Jun
mirage6–13-0.027%26 Jun
ancient7–13-0.0621%26 Jun
anubis16–13-0.0512%26 Jun
inferno9–10.0235%26 Jun
ancient15–15-0.0218%23 Jun
inferno1–13-0.0920%23 Jun

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 →