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Macarena — CS2 Stats

76561198132104878[U:1:171839150]

2,638Tracked matches52%Win rate2020Tracked since
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating21,959Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#8273 of 27471 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGMacarenaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER21,959 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning51
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLWWWLLLWW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.1
Aggression5.6
Utility4.0
Positioning5.1
Opening Duels2.3
Clutch2.0

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 86% playstyle similarity

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

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 559ms 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

Aim7.1
Positioning5.1
Utility4.0
Mechanics5.5
Opening Duels2.3
Win Impact5.6

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time566ms−30ms
first ⅓ avg 595ms → last ⅓ avg 566ms
Headshot accuracy12.6%−1.2%
first ⅓ avg 13.8% → last ⅓ avg 12.6%

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

0.11Best rating — cache 13–5
12–0Biggest win — ancient
6Longest win streak
7–5In matches decided by ≤2 rounds
18Overtime games

Map breakdown

nukeBest map · 67% over 6anubisWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
infernoB2714–1352%-0.02
ancientA2011–955%-0.02
cacheA1911–858%-0.02
anubisD195–1426%-0.04
dust2C83–538%-0.02
nukeS64–267%-0.03
fachwerk—11–0100%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

76Matches
62%Win rate
0.99Avg K/D
75.3ADR
46%Headshot %

Clutches & streaks

30%1v1 clutch win
38%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2759%0.9413.5
Vertigo1974%1.2415.4
Ancient956%0.8212.7
Dust2944%0.6910.7
Inferno875%1.3416.4
Overpass2100%0.6613.0

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.

12.7%Headshot accuracy
36.8%Accuracy (enemy spotted)
43.1%Spray accuracy
74.6%Counter-strafing
9.4°Preaim
559msReaction time
34.7%T opening success
43.6%CT opening success
0.43Enemies flashed / flash
4.5%Flash assists
7.59HE damage / grenade
5.15Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.7258% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4328 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 34.714% — below the 40% mark we flag

Spend your practice time on Anubis

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

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.022%26 Aug →
inferno14–16-0.0411%26 Aug →
inferno13–20.0513%25 Aug →
ancient13–10-0.086%25 Aug →
inferno13–8-0.057%25 Aug →
dust28–13-0.0229%25 Aug →
anubis9–13-0.047%25 Aug →
inferno3–13-0.063%25 Aug →
inferno13–60.0910%24 Aug →
nuke13–10-0.048%24 Aug →
dust24–13-0.0426%24 Aug →
cache13–16-0.0313%24 Aug →
cache13–7-0.0310%23 Aug →
dust213–5-0.0620%23 Aug →
dust25–13-0.0117%23 Aug →
ancient13–11-0.0425%23 Aug →
inferno8–13-0.0210%23 Aug →
nuke5–13-0.0524%22 Aug →
cache8–13-0.0715%22 Aug →
ancient13–11-0.0115%22 Aug →
cache13–11-0.048%22 Aug →
anubis8–13-0.059%22 Aug →
inferno15–15-0.0412%22 Aug →
nuke13–20.046%22 Aug →
ancient13–90.0319%22 Aug →
anubis11–13-0.0113%21 Aug →
ancient13–60.0612%21 Aug →
cache10–130.0116%21 Aug →
inferno13–100.029%19 Aug →
ancient6–13-0.0812%19 Aug →
ancient13–16-0.0512%18 Aug →
cache4–13-0.086%18 Aug →
cache16–12-0.0513%18 Aug →
inferno13–80.0010%16 Aug →
inferno13–11-0.0510%16 Aug →
anubis11–13-0.0519%16 Aug →
cache8–13-0.032%16 Aug →
ancient6–13-0.0415%16 Aug →
inferno13–5-0.007%16 Aug →
anubis3–13-0.0116%16 Aug →
nuke8–13-0.0429%16 Aug →
fachwerk13–8-0.0022%15 Aug →
ancient16–14-0.0114%15 Aug →
anubis12–16-0.1014%14 Aug →
inferno6–13-0.0320%14 Aug →
cache13–11-0.0310%13 Aug →
anubis13–70.0122%13 Aug →
cache14–16-0.0215%11 Aug →
inferno15–15-0.029%11 Aug →
ancient12–00.0715%11 Aug →
anubis9–13-0.096%9 Aug →
inferno13–7-0.0335%9 Aug →
dust213–6-0.0013%9 Aug →
anubis13–6-0.019%9 Aug →
inferno10–13-0.0315%9 Aug →
anubis2–13-0.038%8 Aug →
cache16–14-0.0115%8 Aug →
dust26–13-0.0514%7 Aug →
anubis10–13-0.0113%7 Aug →
ancient16–12-0.0214%7 Aug →
inferno13–10-0.0218%7 Aug →
inferno16–12-0.017%6 Aug →
cache13–10-0.0410%6 Aug →
inferno8–13-0.0320%4 Aug →
ancient8–13-0.068%4 Aug →
inferno13–16-0.0817%4 Aug →
cache13–30.0316%4 Aug →
ancient9–13-0.118%3 Aug →
dust216–13-0.0111%3 Aug →
inferno13–16-0.069%3 Aug →
ancient5–13-0.0721%3 Aug →
cache7–13-0.0516%3 Aug →
ancient13–40.0113%3 Aug →
inferno16–13-0.058%3 Aug →
inferno13–8-0.0619%2 Aug →
anubis13–80.0114%2 Aug →
cache13–10-0.0118%2 Aug →
anubis13–10.0230%2 Aug →
ancient10–13-0.0613%1 Aug →
inferno10–13-0.096%1 Aug →
cache11–13-0.0810%1 Aug →
anubis13–16-0.0512%1 Aug →
inferno5–13-0.0811%31 Jul →
ancient9–13-0.0113%31 Jul →
ancient6–130.0421%30 Jul →
inferno3–13-0.066%30 Jul →
anubis13–4-0.0510%30 Jul →
nuke13–8-0.058%27 Jul →
anubis2–13-0.1229%27 Jul →
ancient13–4-0.058%27 Jul →
ancient13–5-0.0115%27 Jul →
inferno13–90.0613%27 Jul →
inferno13–50.0214%26 Jul →
nuke13–6-0.0214%26 Jul →
cache13–50.118%26 Jul →
anubis12–16-0.047%26 Jul →
cache13–6-0.039%26 Jul →
anubis0–13-0.040%26 Jul →
dust20–130.0150%26 Jul →
anubis7–13-0.117%26 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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