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Cucurella

Cucurella — CS2 Stats

NZ76561198418506587[U:1:458240859]Steam profile ↗✓ No bans

585Tracked matches43%Win rate2020Tracked since
CSDB Rating2.6 Learning
Premier CS Rating10,720Blue band · top ~51.1% of ranked players (population est.)
CSDB Leaderboard#20426 of 28404 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCucurellaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,720 · Blue bandcsdb.gg/stats

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Performance scores

Aim18
Positioning21
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateLLWWWLLWLL

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Aim1.8
Aggression1.0
Utility5.7
Positioning2.1
Opening Duels0.0
Clutch3.4

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 64% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 738ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.8
Positioning2.1
Utility5.7
Mechanics4.1
Opening Duels0.0
Win Impact2.6

Composite 2.6/10 (Learning), 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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time742ms+53ms
first ⅓ avg 689ms → last ⅓ avg 742ms
Headshot accuracy18.1%+0.5%
first ⅓ avg 17.6% → last ⅓ avg 18.1%

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

0.26Best rating — dust2 13–2
13–2Biggest win — dust2
3Longest win streak
L2Current streak
4–2In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 43% over 7ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C7429–4539%-0.03
ancientD113–827%-0.02
mirageC73–443%-0.04
cache—22–0100%-0.01
nuke—22–0100%0.01
inferno—21–150%-0.01
anubis—20–20%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

138Matches
51%Win rate
0.99Avg K/D
75.1ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust24367%1.1815.3
Mirage3933%0.8613.6
Anubis1850%1.0315.8
Ancient1362%1.0613.2
Inferno956%0.7014.1
Nuke838%0.9312.5
Vertigo450%0.8013.5
Cache333%0.517.0

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.

18.4%Headshot accuracy
23.6%Accuracy (enemy spotted)
23.8%Spray accuracy
68.5%Counter-strafing
11.4°Preaim
738msReaction time
19.3%T opening success
21.4%CT opening success
0.51Enemies flashed / flash
6.4%Flash assists
12.71HE damage / grenade
13.16Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 737.8661ms — above the 700ms 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 19.3499% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0523%23 Aug →
ancient2–13-0.0418%22 Aug →
dust213–6-0.0236%21 Aug →
dust213–80.0816%20 Aug →
dust213–20.2619%20 Aug →
dust27–13-0.0811%19 Aug →
dust27–13-0.0823%13 Aug →
dust213–9-0.0112%13 Aug →
dust24–13-0.0529%13 Aug →
ancient8–13-0.0318%9 Aug →
dust213–9-0.0323%9 Aug →
dust213–11-0.0720%8 Aug →
dust29–130.0024%7 Aug →
ancient2–13-0.0219%7 Aug →
dust22–130.0628%7 Aug →
mirage13–8-0.0417%7 Aug →
dust213–30.0018%7 Aug →
ancient13–10-0.0111%1 Aug →
dust210–13-0.088%31 Jul →
dust210–13-0.0821%31 Jul →
dust212–12-0.0722%31 Jul →
dust212–12-0.167%31 Jul →
dust25–13-0.0519%25 Jul →
mirage13–30.0218%25 Jul →
dust213–3-0.0412%24 Jul →
ancient5–13-0.0614%19 Jul →
ancient2–13-0.0816%19 Jul →
dust27–13-0.0211%19 Jul →
dust213–7-0.0424%18 Jul →
ancient8–13-0.0120%18 Jul →
dust25–13-0.0622%18 Jul →
mirage13–6-0.029%18 Jul →
ancient13–5-0.039%18 Jul →
dust22–130.0223%18 Jul →
dust21–11-0.0629%17 Jul →
dust29–13-0.0326%17 Jul →
cache13–4-0.0328%17 Jul →
dust26–13-0.0813%16 Jul →
dust213–3-0.0125%16 Jul →
dust213–40.0614%16 Jul →
dust27–13-0.0511%16 Jul →
dust23–13-0.1213%16 Jul →
dust213–80.0516%16 Jul →
dust210–13-0.0219%16 Jul →
dust22–13-0.0422%14 Jul →
dust29–13-0.0610%14 Jul →
dust210–13-0.0515%13 Jul →
dust213–40.0121%13 Jul →
dust23–130.0017%13 Jul →
dust212–120.0124%12 Jul →
dust213–11-0.067%12 Jul →
dust25–13-0.0215%12 Jul →
dust27–13-0.075%12 Jul →
mirage15–15-0.0413%12 Jul →
mirage4–13-0.0410%12 Jul →
nuke13–80.0415%12 Jul →
cache13–80.0116%12 Jul →
dust213–50.0220%12 Jul →
ancient10–13-0.0514%11 Jul →
dust212–16-0.0117%11 Jul →
dust28–13-0.0719%11 Jul →
inferno13–30.0115%10 Jul →
dust25–10-0.0516%10 Jul →
dust213–30.0824%10 Jul →
mirage2–13-0.1025%10 Jul →
dust27–13-0.0317%9 Jul →
dust212–120.0028%9 Jul →
dust21–13-0.0612%9 Jul →
dust213–5-0.0124%4 Jul →
dust21–13-0.126%2 Jul →
dust27–13-0.0618%2 Jul →
dust28–13-0.0518%2 Jul →
dust213–6-0.0319%2 Jul →
dust213–80.0016%2 Jul →
dust212–12-0.0111%2 Jul →
dust23–13-0.0719%1 Jul →
dust210–13-0.0122%1 Jul →
dust213–5-0.0312%1 Jul →
dust25–13-0.027%30 Jun →
dust27–13-0.0617%30 Jun →
dust213–9-0.0121%29 Jun →
dust213–90.027%29 Jun →
dust213–11-0.0710%29 Jun →
dust27–130.036%28 Jun →
dust213–100.0119%28 Jun →
dust213–9-0.0521%27 Jun →
ancient15–150.0931%27 Jun →
dust213–9-0.0622%27 Jun →
dust26–13-0.0436%27 Jun →
dust24–13-0.0110%27 Jun →
dust213–50.0331%24 Jun →
mirage9–13-0.0613%23 Jun →
nuke13–5-0.0217%23 Jun →
anubis3–13-0.0721%23 Jun →
ancient13–70.0214%23 Jun →
inferno14–16-0.038%23 Jun →
dust25–13-0.1125%22 Jun →
dust213–40.0511%22 Jun →
dust211–11-0.1132%22 Jun →
anubis10–130.0226%22 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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