Barcelona

Barcelona — CS2 Stats

76561197983313618[U:1:23047890]Steam profile ↗

2,809Tracked matches48%Win rate2020Tracked since
CSDB Rating4.5 Developing
Premier CS Rating14,866Blue band · top ~29.1% of ranked players (population est.)
CSDB Leaderboard#17026 of 26642 tracked
FaceitLevel 5 · 1,094 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBarcelonaFACEITLevel 5 · 1,094 ELOSTANDINGTop 67.6% of rankedPREMIER14,866 · Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning46
Utility66

0–100 skill scores via Leetify.

Recent form

HOT51436Last 10051%Win rateWWWLWWWWLL

Last 10 vs previous 10: +30pp win rate · -0.03 avg rating

Player DNA

Aim4.9
Aggression5.9
Utility6.6
Positioning4.6
Opening Duels1.8
Clutch3.2

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 85% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 589ms 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

Aim4.9
Positioning4.6
Utility6.6
Mechanics4.9
Opening Duels1.8
Win Impact4.4

Composite 4.5/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time611ms−0ms
first ⅓ avg 611ms → last ⅓ avg 611ms
Headshot accuracy13.2%−0.2%
first ⅓ avg 13.4% → last ⅓ avg 13.2%

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 — anubis 13–5
131Biggest win — mirage
8Longest win streak
W3Current streak
145In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 67% over 6anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C30121840%-0.01
mirageA1912763%0.00
ancientA148657%-0.02
infernoA127558%-0.01
anubisC114736%0.01
nukeB84450%-0.01
cacheS64267%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

167Matches
47%Win rate
1.03Avg K/D
80.9ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4042%1.0014.5
Dust23847%1.0616.4
Inferno2352%1.1415.2
Cache1937%0.9616.4
Ancient1662%0.9314.1
Nuke1547%1.1716.5
Anubis1040%0.9716.7
Overpass540%0.9416.6

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.

13.8%Headshot accuracy
32.6%Accuracy (enemy spotted)
33.3%Spray accuracy
72.2%Counter-strafing
10.8°Preaim
589msReaction time
36.3%T opening success
38.3%CT opening success
0.76Enemies flashed / flash
4.2%Flash assists
11.27HE damage / grenade
13.26Flashes / 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 13.78% — below the 15% mark we flag

    Aim Training
  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 36.2846% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–100.0310%26 Aug
ancient13–80.0311%26 Aug
dust212–7-0.0426%26 Aug
dust24–13-0.0310%25 Aug
cache13–7-0.0312%21 Aug
mirage13–110.0016%21 Aug
inferno13–5-0.0712%21 Aug
mirage13–90.0411%21 Aug
dust211–130.0215%19 Aug
anubis4–13-0.039%19 Aug
dust213–9-0.0214%19 Aug
inferno13–90.0211%19 Aug
anubis5–13-0.0211%19 Aug
dust215–150.1022%18 Aug
dust24–13-0.0417%18 Aug
mirage2–80.039%18 Aug
mirage13–10.0817%18 Aug
mirage13–90.0824%18 Aug
dust27–130.0012%18 Aug
dust210–13-0.0316%15 Aug
dust29–13-0.0020%14 Aug
ancient16–14-0.0513%14 Aug
inferno1–7-0.1015%10 Aug
mirage3–13-0.093%10 Aug
ancient10–13-0.0310%10 Aug
dust213–6-0.077%10 Aug
ancient7–13-0.0612%6 Aug
ancient9–13-0.0414%6 Aug
mirage13–6-0.0111%6 Aug
cache3–13-0.0017%6 Aug
ancient13–40.0112%6 Aug
mirage9–13-0.0411%6 Aug
nuke11–13-0.018%5 Aug
mirage8–13-0.099%5 Aug
mirage6–13-0.0311%4 Aug
dust213–7-0.0124%4 Aug
dust27–13-0.0511%4 Aug
ancient13–110.0013%4 Aug
anubis2–130.0114%4 Aug
dust213–90.0321%4 Aug
inferno16–14-0.0113%3 Aug
dust23–13-0.0010%3 Aug
inferno5–13-0.0812%3 Aug
dust25–13-0.0413%3 Aug
dust213–80.012%3 Aug
anubis13–11-0.0124%3 Aug
nuke13–110.0417%3 Aug
dust23–13-0.0314%3 Aug
anubis13–90.0514%2 Aug
dust213–11-0.038%1 Aug
inferno11–13-0.0011%1 Aug
nuke15–150.0113%31 Jul
cache13–50.0516%31 Jul
dust215–150.0515%31 Jul
ancient15–150.0313%31 Jul
anubis11–13-0.018%30 Jul
dust210–130.0016%29 Jul
mirage13–50.0112%29 Jul
dust28–13-0.0613%29 Jul
inferno13–50.0414%29 Jul
dust211–130.0614%28 Jul
dust24–7-0.0415%28 Jul
dust29–130.0512%28 Jul
ancient16–12-0.0511%28 Jul
mirage13–10.0714%28 Jul
inferno13–11-0.0012%27 Jul
mirage13–6-0.0619%27 Jul
nuke13–7-0.034%27 Jul
cache13–10-0.0222%27 Jul
nuke13–40.0512%27 Jul
mirage13–60.0513%25 Jul
ancient2–13-0.064%25 Jul
inferno15–150.0412%25 Jul
anubis13–30.055%24 Jul
mirage6–13-0.0512%24 Jul
nuke5–13-0.0317%24 Jul
anubis10–13-0.0817%24 Jul
nuke10–13-0.098%23 Jul
anubis9–130.0121%23 Jul
inferno12–16-0.018%23 Jul
dust24–13-0.0318%23 Jul
dust213–8-0.0415%23 Jul
dust213–5-0.0523%23 Jul
cache7–13-0.0313%23 Jul
inferno13–80.0811%22 Jul
ancient13–110.028%22 Jul
mirage13–100.0421%22 Jul
dust213–110.0310%22 Jul
anubis13–50.1111%21 Jul
ancient13–80.0215%21 Jul
anubis15–15-0.018%21 Jul
mirage9–13-0.047%20 Jul
ancient8–13-0.0513%20 Jul
mirage16–120.0215%20 Jul
dust213–80.0222%20 Jul
dust213–110.0121%20 Jul
mirage13–110.0715%20 Jul
ancient13–11-0.0121%20 Jul
inferno13–110.0114%19 Jul
nuke16–130.028%16 Jul

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →