madrid — CS2 Stats

76561198198242435[U:1:237976707]

1,538Tracked matches59%Win rate2020Tracked since
CSDB Rating6.6 SolidHybrid Rifler
Premier CS Rating19,598Purple band · top ~10.1% of ranked players (population est.)
CSDB Leaderboard#7994 of 16948 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGmadridFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,598 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning51
Utility60

0–100 skill scores via Leetify.

Recent form

COLD51472Last 10051%Win rateLWWLLLTWLL

Last 10 vs previous 10: -50pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.3
Aggression5.5
Utility6.0
Positioning5.1
Opening Duels2.0
Clutch4.8

Strong CT-side openerEffective flashes

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 94% playstyle similarity

Most alike: opening-duel success, 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim8.3
Positioning5.1
Utility6.0
Mechanics7.9
Opening Duels2.1
Win Impact7.9

Composite 6.6/10 (Solid), 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+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time612ms−38ms
first ⅓ avg 649ms → last ⅓ avg 612ms
Headshot accuracy19.0%−0.9%
first ⅓ avg 19.9% → last ⅓ avg 19.0%

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

0.12Best rating — ancient 13–11
133Biggest win — cache
7Longest win streak
84In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 80% over 10cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B23121152%-0.02
ancientB20101050%0.01
mirageC1881044%-0.00
anubisB168850%0.01
cacheD103730%0.02
infernoS108280%0.01
nuke32167%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

484Matches
52%Win rate
1.11Avg K/D
86.0ADR
36%Headshot %

Clutches & streaks

44%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1872%1.2118.4
Ancient1331%1.1213.2
Anubis1050%1.0617.3
Dust2838%1.2215.3
Inferno862%1.3016.9
Nuke475%1.5120.0
Overpass250%1.4418.5
Train2100%1.4228.5

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.

18.7%Headshot accuracy
39.5%Accuracy (enemy spotted)
40.8%Spray accuracy
85.6%Counter-strafing
8.9°Preaim
606msReaction time
29.2%T opening success
46.7%CT opening success
0.72Enemies flashed / flash
6.3%Flash assists
11.64HE damage / grenade
6.92Flashes / 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 29.1854% — below the 40% mark we flag

Spend your practice time on Cache

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 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage10–130.0320%27 Aug
anubis13–80.0116%26 Aug
ancient13–110.1227%16 Aug
dust24–130.0241%16 Aug
mirage3–13-0.0916%16 Aug
mirage7–13-0.0614%16 Aug
ancient15–150.029%16 Aug
dust213–10-0.0221%13 Aug
dust25–130.0020%13 Aug
cache7–130.0317%9 Aug
mirage13–40.0018%9 Aug
ancient8–13-0.0518%9 Aug
cache13–40.0823%3 Aug
anubis13–11-0.0211%3 Aug
dust213–60.0522%3 Aug
dust22–13-0.0628%2 Aug
inferno13–11-0.0513%2 Aug
ancient13–100.0510%31 Jul
nuke13–70.0127%31 Jul
dust213–10-0.0516%29 Jul
mirage13–100.0417%29 Jul
anubis16–130.0826%29 Jul
ancient13–110.0322%29 Jul
mirage3–13-0.0917%29 Jul
mirage13–70.0528%27 Jul
ancient10–10.0210%27 Jul
anubis10–130.0118%27 Jul
cache7–130.0314%27 Jul
dust213–80.0116%26 Jul
cache9–13-0.0512%26 Jul
mirage3–13-0.0820%25 Jul
dust213–60.0626%25 Jul
dust28–130.0415%23 Jul
anubis10–13-0.0114%23 Jul
ancient13–40.0214%20 Jul
inferno13–100.0121%20 Jul
ancient13–110.018%20 Jul
anubis13–100.0417%18 Jul
cache7–130.0019%18 Jul
dust23–13-0.0921%18 Jul
mirage16–14-0.0319%18 Jul
cache9–130.0416%18 Jul
ancient13–60.0326%17 Jul
cache7–13-0.0014%17 Jul
ancient15–150.0010%16 Jul
ancient13–100.0216%15 Jul
anubis13–60.0428%10 Jul
anubis9–130.0013%10 Jul
dust29–130.0015%10 Jul
mirage8–130.0722%6 Jul
ancient9–130.0812%6 Jul
dust213–10-0.0118%5 Jul
mirage10–130.0325%4 Jul
ancient10–130.0323%3 Jul
nuke11–130.0114%2 Jul
ancient4–13-0.0218%29 Jun
inferno13–100.0218%28 Jun
inferno13–7-0.0218%28 Jun
cache13–30.0523%28 Jun
dust213–8-0.0231%28 Jun
ancient6–13-0.0511%28 Jun
dust21–13-0.068%28 Jun
anubis13–110.0216%25 Jun
anubis5–130.0919%23 Jun
mirage13–160.0611%23 Jun
dust29–13-0.0710%22 Jun
ancient7–13-0.0524%21 Jun
dust213–80.0417%21 Jun
mirage13–40.098%21 Jun
ancient9–13-0.0222%19 Jun
dust26–13-0.0314%19 Jun
inferno13–70.0317%19 Jun
mirage4–13-0.0827%15 Jun
dust213–110.0322%15 Jun
mirage13–7-0.079%14 Jun
anubis14–160.0118%14 Jun
inferno13–80.0221%14 Jun
inferno13–50.1019%14 Jun
ancient13–80.0215%12 Jun
mirage13–40.0624%8 Jun
dust211–13-0.0216%7 Jun
inferno13–100.0118%3 Jun
inferno7–13-0.0228%3 Jun
anubis13–10-0.0911%1 Jun
dust213–7-0.0739%29 May
dust212–16-0.0711%26 May
dust213–50.0220%23 May
anubis13–8-0.0416%22 May
ancient11–130.0118%20 May
dust213–6-0.0332%17 May
anubis6–130.0321%17 May
mirage3–13-0.0320%12 May
anubis5–13-0.0416%12 May
anubis8–13-0.0415%9 May
ancient13–90.0016%9 May
cache13–30.0827%9 May
mirage13–100.069%8 May
cache7–13-0.0324%2 May
inferno3–13-0.0225%29 Apr
nuke13–3-0.0143%28 Apr

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 →