acido gracioso

acido gracioso — CS2 Stats

ES76561198062768151[U:1:102502423]Steam profile ↗✓ No bans

1,291Tracked matches72%Win rate2020Tracked since
2,799Hours in CS36Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating10,108Blue band · top ~54.3% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+109Premier CS Rating · 9,999 → 10,108

Rating over time

Premier CS Rating: 10,108 +4,746 5 Sept – 15 Nov · 38 days played
4,17710,108peak 10,1085 Sept15 Nov
10,108Peak Premier in tracked matches
35Days played since 2026-09-05

Premier CS Rating

  • At peak — 10,108
  • +4,344 over 30 days · improving
  • Next: Purple band at 15,000 — 4,892 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=23,968), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate27.9%42.0%44.4%16.5% short
Shot accuracy9.6%9.7%11.8%2.2% short
Kill/death ratio0.880.981.030.16 short
Match win rate44.5%43.8%45.3%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGacido graciosoPREMIER10,108 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning66
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateWWWLWWWLLT

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +3.7pp headshot accuracy · +12ms reaction

Win rate −10pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 619ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 613ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 607ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim6.7
Utility4.1
Positioning6.6
Opening Duels4.8
Clutch3.8

Strong CT-side openerLimited utility dependence

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

jL

Plays most like jL 90% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 611ms 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

Aim6.7
Positioning6.6
Utility4.1
Mechanics6.0
Opening Duels6.4
Win Impact10.0

Composite 6.2/10 (Solid), 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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time610ms−65ms
first ⅓ avg 675ms → last ⅓ avg 610ms
Headshot accuracy9.8%+0.4%
first ⅓ avg 9.4% → last ⅓ avg 9.8%

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

0.18Best match rating · 13–4 · ancient, 2 Nov →
22%Best headshot accuracy · 13–8 · ancient, 13 Nov →
453msFastest reaction time · 4–13 · dust2, 3 Nov →
13–1Biggest win · cache, 10 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
8–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 75% over 12dust2Weakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C177–1041%0.01
nukeA169–756%-0.01
mirageA169–756%-0.00
ancientB147–750%-0.00
infernoB136–746%-0.01
cacheS129–375%-0.02
anubisS128–467%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,892Lifetime kills
0.88K/D
3,271Matches
44.5%Match win rate · Top 50% of Blue band
27.9%Headshot %
9.6%Shot accuracy
6,874MVPs
1,380Hours (in match)
4,188Bombs planted
585Bombs defused

Most-used weapons

AK-4712,388
AWP9,057
P902,669
MP71,165
MP91,097
AUG1,087

Lifetime map wins

8,595dust2
5,452inferno
2,503nuke
452train
129vertigo
110cbble
16militia
14office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

49Matches
49%Win rate
0.71Avg K/D
65.2ADR
30%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21354%0.8813.2
Inferno771%0.7811.9
Nuke650%0.447.2
Mirage633%0.569.5
Ancient540%0.6113.4
Anubis450%0.488.3
Cache250%0.8615.5

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.

10.3%Headshot accuracy
40.2%Accuracy (enemy spotted)
38.8%Spray accuracy
77.0%Counter-strafing
9.2°Preaim
611msReaction time
52.9%T opening success
58.5%CT opening success
0.60Enemies flashed / flash
9.2%Flash assists
9.83HE damage / grenade
2.67Flashes / 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 10.2531% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.6672 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–90.0118%15 Nov →
nuke13–110.0116%14 Nov →
ancient13–11-0.028%14 Nov →
ancient5–13-0.0611%14 Nov →
cache13–6-0.084%14 Nov →
ancient13–5-0.0613%14 Nov →
ancient13–80.0122%13 Nov →
mirage13–16-0.016%11 Nov →
dust211–13-0.027%11 Nov →
anubis15–150.0113%11 Nov →
dust27–13-0.038%11 Nov →
dust213–110.0412%10 Nov →
cache13–10.0311%10 Nov →
inferno4–13-0.0110%10 Nov →
nuke13–10-0.028%10 Nov →
mirage10–13-0.057%9 Nov →
cache13–8-0.056%7 Nov →
inferno13–7-0.025%7 Nov →
cache13–11-0.049%7 Nov →
cache9–10.024%7 Nov →
mirage13–60.0616%7 Nov →
nuke11–1-0.0214%7 Nov →
ancient5–13-0.1112%7 Nov →
mirage13–10-0.0213%6 Nov →
cache13–7-0.064%6 Nov →
dust210–13-0.059%6 Nov →
mirage13–6-0.017%4 Nov →
cache13–100.0312%4 Nov →
anubis13–90.016%4 Nov →
ancient13–11-0.0414%4 Nov →
dust213–10-0.015%3 Nov →
nuke10–13-0.048%3 Nov →
dust24–13-0.027%3 Nov →
mirage10–13-0.032%2 Nov →
inferno10–13-0.067%2 Nov →
inferno13–70.189%2 Nov →
mirage13–6-0.0411%2 Nov →
ancient13–40.189%2 Nov →
anubis13–60.014%2 Nov →
nuke7–130.017%2 Nov →
inferno13–7-0.012%2 Nov →
ancient10–130.015%2 Nov →
nuke13–80.0112%2 Nov →
mirage13–40.0511%2 Nov →
ancient5–13-0.007%1 Nov →
inferno1–13-0.0710%1 Nov →
dust27–130.0112%1 Nov →
dust211–13-0.0012%1 Nov →
ancient10–13-0.024%31 Oct →
mirage13–110.039%31 Oct →
nuke9–13-0.058%31 Oct →
inferno8–13-0.047%31 Oct →
cache13–11-0.016%30 Oct →
anubis12–16-0.016%30 Oct →
nuke2–13-0.0513%29 Oct →
anubis13–10-0.027%29 Oct →
nuke11–13-0.038%29 Oct →
anubis13–3-0.027%29 Oct →
mirage13–80.068%29 Oct →
anubis13–50.0310%28 Oct →
inferno13–8-0.0214%25 Oct →
dust26–130.0410%24 Oct →
nuke13–70.004%23 Oct →
mirage13–100.005%23 Oct →
nuke3–13-0.019%22 Oct →
cache10–13-0.0010%21 Oct →
mirage10–130.027%20 Oct →
cache6–13-0.047%20 Oct →
dust213–70.078%20 Oct →
nuke9–130.038%20 Oct →
inferno13–60.046%19 Oct →
anubis13–20.087%19 Oct →
cache13–10-0.028%18 Oct →
cache10–13-0.049%18 Oct →
nuke13–9-0.040%18 Oct →
nuke13–80.0312%18 Oct →
inferno13–8-0.058%17 Oct →
dust22–13-0.015%16 Oct →
ancient5–130.0211%16 Oct →
anubis10–13-0.066%16 Oct →
dust213–9-0.0913%15 Oct →
ancient13–100.0510%15 Oct →
mirage11–130.0111%14 Oct →
anubis10–13-0.0010%13 Oct →
dust213–11-0.037%12 Oct →
ancient13–20.0318%12 Oct →
mirage13–7-0.038%12 Oct →
dust213–3-0.019%12 Oct →
inferno6–13-0.0812%11 Oct →
anubis13–7-0.009%11 Oct →
ancient13–16-0.0313%10 Oct →
anubis13–10.059%10 Oct →
mirage9–13-0.0115%10 Oct →
dust28–130.1412%10 Oct →
mirage7–13-0.0810%10 Oct →
inferno4–130.0419%9 Oct →
nuke13–8-0.0112%9 Oct →
dust213–50.068%9 Oct →
dust27–130.0614%8 Oct →
inferno14–16-0.012%5 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.