Cucurella⚡

Cucurella⚡ — CS2 Stats

76561198042261940[U:1:81996212]Steam profile ↗✓ No bans

1,007Tracked matches50%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating17,962Purple band · top ~16.6% of ranked players (population est.)
CSDB Leaderboard#97577 of 221308 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 33 days played since 1 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 17,962 +1,659 1 Jul17 Sept · 26 days played
16,21219,069peak 19,0691 Jul17 Sept
19,422Peak Premier in tracked matches
33Days played since 2026-07-01

Premier CS Rating

  • 1,107 below peak (19,069)
  • -559 over 30 days · declining
  • +1,659 over 90 days
  • Next: Pink band at 20,000 2,038 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGCucurella⚡FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,962 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim62
Positioning56
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateLLLLWLLWWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.2pp headshot accuracy · +17ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 564ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 600ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 592ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.9 against its own average).

Aim6.2
Utility6.9
Positioning5.6
Opening Duels2.7
Clutch4.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 572ms 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

Aim6.2
Positioning5.6
Utility6.9
Mechanics5.3
Opening Duels1.2
Win Impact5.0

Composite 5.4/10 (Developing), 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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time576ms−49ms
first ⅓ avg 625ms → last ⅓ avg 576ms
Headshot accuracy23.9%+4.6%
first ⅓ avg 19.3% → last ⅓ avg 23.9%

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.

Personal bests

0.06Best match rating · 13–11 · cache, 18 Jul
41%Best headshot accuracy · 10–13 · anubis, 29 Jul
430msFastest reaction time · 2–13 · inferno, 25 Aug
13–1Biggest win · dust2, 28 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
118In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 86% over 7ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB28131546%-0.03
dust2B2091145%-0.03
cacheB20101050%-0.03
ancientC104640%-0.02
anubisC94544%-0.01
nukeS76186%-0.01
mirage4040%-0.03
vertigo1010%-0.01
overpass110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

195Matches
52%Win rate
0.93Avg K/D
81.2ADR
54%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2357%0.9814.1
Anubis2181%1.3616.8
Mirage1844%0.8712.9
Dust21656%1.0014.7
Ancient1060%1.0922.1
Nuke633%1.1317.5
Cache560%0.8412.2
Train2100%1.1619.0

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.

24.1%Headshot accuracy
30.7%Accuracy (enemy spotted)
31.1%Spray accuracy
73.8%Counter-strafing
10.6°Preaim
572msReaction time
34.5%T opening success
35.2%CT opening success
0.67Enemies flashed / flash
4.9%Flash assists
10.56HE damage / grenade
16.06Flashes / 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 34.5454% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–130.0122%8 Sept
ancient1–13-0.1014%8 Sept
cache13–16-0.0118%6 Sept
dust22–13-0.0228%2 Sept
inferno13–6-0.0223%2 Sept
inferno8–13-0.0138%2 Sept
mirage8–13-0.0323%1 Sept
cache13–90.0111%1 Sept
inferno13–10-0.0314%1 Sept
dust213–10-0.0427%1 Sept
dust213–7-0.0520%31 Aug
cache9–13-0.0724%31 Aug
ancient10–130.0035%31 Aug
ancient9–13-0.0225%29 Aug
inferno13–100.0121%28 Aug
dust213–10.0529%28 Aug
inferno3–130.0115%28 Aug
nuke4–13-0.0532%28 Aug
cache13–2-0.0222%28 Aug
inferno5–13-0.0234%26 Aug
inferno13–10-0.0028%26 Aug
inferno2–13-0.1133%25 Aug
inferno8–13-0.0526%25 Aug
ancient16–13-0.0323%25 Aug
cache13–7-0.0221%22 Aug
inferno10–130.0414%22 Aug
ancient13–6-0.0035%22 Aug
nuke13–3-0.0627%22 Aug
inferno9–7-0.0519%19 Aug
ancient13–90.0431%19 Aug
cache13–10-0.0119%19 Aug
ancient13–11-0.0421%19 Aug
anubis15–150.0419%15 Aug
ancient2–130.0132%15 Aug
dust211–130.0122%15 Aug
cache13–40.0426%15 Aug
cache13–9-0.0515%14 Aug
inferno13–100.0527%14 Aug
inferno7–13-0.0935%14 Aug
anubis15–150.0119%6 Aug
mirage15–15-0.0129%6 Aug
vertigo5–13-0.0115%5 Aug
inferno15–15-0.0930%30 Jul
inferno13–11-0.0128%30 Jul
inferno9–13-0.0516%30 Jul
cache13–3-0.0221%29 Jul
anubis10–130.0541%29 Jul
cache3–13-0.0536%28 Jul
inferno11–130.0127%28 Jul
anubis13–110.0222%28 Jul
cache13–11-0.0220%28 Jul
inferno14–16-0.0622%27 Jul
inferno8–13-0.0026%27 Jul
anubis11–13-0.0221%27 Jul
cache5–13-0.1021%26 Jul
inferno1–13-0.0818%26 Jul
inferno13–11-0.0025%26 Jul
nuke13–70.0030%26 Jul
dust213–9-0.0326%20 Jul
cache9–13-0.0621%20 Jul
dust213–80.0023%20 Jul
inferno16–120.0121%20 Jul
inferno16–120.0214%20 Jul
dust211–13-0.0318%20 Jul
dust23–13-0.0821%20 Jul
cache9–13-0.1015%20 Jul
inferno4–13-0.0426%20 Jul
nuke13–110.0319%20 Jul
inferno13–7-0.0123%19 Jul
anubis16–14-0.0316%19 Jul
cache13–110.0624%18 Jul
overpass13–100.0324%18 Jul
mirage7–13-0.0419%16 Jul
anubis6–13-0.0512%15 Jul
nuke13–9-0.0332%15 Jul
cache4–130.0139%15 Jul
dust213–90.0125%15 Jul
ancient11–13-0.0815%15 Jul
dust213–16-0.0512%11 Jul
cache12–16-0.0625%11 Jul
nuke13–110.0117%10 Jul
dust213–5-0.0421%10 Jul
cache10–13-0.0226%10 Jul
dust28–13-0.0819%8 Jul
dust213–80.0327%8 Jul
cache11–13-0.0318%7 Jul
dust24–13-0.088%4 Jul
nuke13–100.0516%3 Jul
dust24–13-0.0617%3 Jul
inferno13–8-0.0210%3 Jul
inferno7–13-0.0615%3 Jul
ancient7–130.0029%3 Jul
dust213–16-0.0323%2 Jul
anubis13–7-0.0619%2 Jul
anubis13–9-0.0212%2 Jul
inferno13–11-0.0820%2 Jul
dust213–2-0.0410%1 Jul
dust210–13-0.0717%1 Jul
mirage8–13-0.0310%1 Jul
cache13–10-0.0218%1 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 →