Moro gorra gucci

Moro gorra gucci — CS2 Stats

76561199017611897[U:1:1057346169]Steam profile ↗✓ No bans

394Tracked matches60%Win rate2020Tracked since
1,238Hours in CS9Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating18,432Purple band · top ~14.7% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (2 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.

Rating over time

Premier CS Rating: 18,432 +3,690 10 Jun – 26 Oct · 38 days played
12,80118,643peak 18,64310 Jun26 Oct
18,643Peak Premier in tracked matches
50Days played since 2026-06-10

Premier CS Rating

  • 211 below peak (18,643)
  • +693 over 30 days · improving
  • +2,715 over 90 days
  • Next: Pink band at 20,000 — 1,568 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches37——
Win rate51%——
K/D0.84——
Headshot %61%——

Measured 25 Sep 2026 → 28 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate56.3%44.4%46.9%above
Shot accuracy9.5%11.9%13.0%3.5% short
Kill/death ratio1.071.031.08meets
Match win rate39.8%45.2%46.7%6.9% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGMoro gorra gucciPREMIER18,432 · 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

Aim56
Positioning40
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateWLLWLWWTLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.2pp headshot accuracy · −38ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 633ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 611ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 630ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim5.6
Utility5.0
Positioning4.0
Opening Duels2.6

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

ZywOo

Plays most like ZywOo 89% 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. 610ms 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

Aim5.6
Positioning4.0
Utility5.0
Mechanics5.6
Opening Duels3.0
Win Impact8.3

Composite 5.2/10 (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 -0.02 → last ⅓ avg -0.02
Reaction time594ms−39ms
first ⅓ avg 633ms → last ⅓ avg 594ms
Headshot accuracy23.7%+0.7%
first ⅓ avg 23.1% → last ⅓ avg 23.7%

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 · 9–4 · inferno, 24 Jun →
50%Best headshot accuracy · 1–7 · inferno, 24 Aug →
422msFastest reaction time · 7–9 · inferno, 7 Sept →
13–0Biggest win · cache, 28 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 69% over 13overpassWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB3114–1745%-0.01
nukeB2312–1152%-0.02
anubisS139–469%-0.02
mirageA74–357%-0.03
cacheA74–357%-0.00
overpassD62–433%-0.03
ancientC52–340%-0.04
vertigo—40–40%-0.07
dust2—30–30%-0.06
boulder—11–0100%-0.08

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,342Lifetime kills
1.07K/D · Top 50% of Purple band
1,949Matches
39.8%Match win rate
56.3%Headshot % · Top 10% of Purple band
9.5%Shot accuracy
4,820MVPs
658Hours (in match)
1,489Bombs planted
409Bombs defused

Most-used weapons

AK-4712,067
AWP2,598
MP91,325
XM10141,209
MAC-101,033
MP7902

Lifetime map wins

4,220inferno
1,999nuke
1,161dust2
506vertigo
262train
61cbble
40office
13safehouse

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

Faceit stats

Combat

15Matches
47%Win rate
1.03Avg K/D
—ADR
43%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

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.

24.3%Headshot accuracy
29.6%Accuracy (enemy spotted)
33.9%Spray accuracy
75.4%Counter-strafing
11.8°Preaim
610msReaction time
40.4%T opening success
43.9%CT opening success
0.58Enemies flashed / flash
8.1%Flash assists
9.26HE damage / grenade
6.16Flashes / match

Recommended for you

Spend your practice time on Overpass

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0330%26 Oct →
mirage7–130.0030%26 Oct →
nuke5–13-0.0026%25 Oct →
inferno13–10-0.0129%23 Oct →
ancient5–13-0.0331%23 Oct →
anubis13–50.0122%23 Oct →
inferno6–00.020%23 Oct →
inferno8–80.0423%23 Oct →
dust27–13-0.0715%4 Oct →
cache13–00.0132%28 Sept →
nuke13–7-0.0621%26 Sept →
anubis13–8-0.0127%26 Sept →
overpass7–90.0131%25 Sept →
nuke2–13-0.0328%23 Sept →
nuke7–130.0218%20 Sept →
dust29–13-0.0923%20 Sept →
inferno5–13-0.086%13 Sept →
boulder13–10-0.0835%12 Sept →
anubis13–100.0020%7 Sept →
cache13–30.0827%7 Sept →
inferno7–90.1425%7 Sept →
inferno9–50.0929%6 Sept →
inferno7–13-0.0617%6 Sept →
nuke13–8-0.0412%5 Sept →
ancient10–13-0.0615%4 Sept →
mirage13–10-0.0826%3 Sept →
inferno13–7-0.0516%30 Aug →
anubis13–8-0.0813%30 Aug →
cache13–10-0.0723%29 Aug →
cache11–13-0.0538%24 Aug →
inferno1–7-0.0650%24 Aug →
anubis13–8-0.0233%24 Aug →
overpass7–90.0214%16 Aug →
nuke13–110.0028%14 Aug →
nuke13–8-0.0738%13 Aug →
cache4–13-0.0633%13 Aug →
inferno13–6-0.0616%13 Aug →
mirage8–2-0.0250%12 Aug →
nuke13–8-0.0424%31 Jul →
inferno13–8-0.0421%30 Jul →
inferno6–9-0.0115%26 Jul →
vertigo7–13-0.0129%25 Jul →
inferno12–16-0.0220%25 Jul →
nuke13–9-0.0317%25 Jul →
inferno5–130.0528%23 Jul →
ancient13–6-0.0614%23 Jul →
cache8–130.0113%23 Jul →
nuke4–13-0.1012%23 Jul →
inferno13–110.0116%22 Jul →
mirage9–13-0.0126%22 Jul →
inferno13–10-0.028%22 Jul →
anubis8–13-0.0226%20 Jul →
ancient15–15-0.0411%20 Jul →
nuke13–9-0.0011%20 Jul →
nuke11–13-0.0138%20 Jul →
cache13–50.0629%20 Jul →
inferno13–8-0.0413%20 Jul →
nuke13–110.0213%19 Jul →
inferno15–15-0.1110%18 Jul →
anubis10–13-0.0825%18 Jul →
mirage13–8-0.0517%18 Jul →
anubis13–50.1018%18 Jul →
anubis16–130.0621%16 Jul →
nuke13–80.0124%15 Jul →
inferno4–9-0.2013%6 Jul →
ancient12–10.0231%6 Jul →
mirage15–15-0.0722%6 Jul →
nuke15–150.0122%6 Jul →
inferno6–13-0.0536%4 Jul →
inferno16–140.0225%3 Jul →
inferno6–90.0420%1 Jul →
nuke3–13-0.0745%27 Jun →
anubis4–13-0.0815%25 Jun →
inferno9–40.1840%24 Jun →
overpass1–13-0.1013%23 Jun →
nuke9–50.0935%22 Jun →
nuke9–13-0.0526%22 Jun →
anubis13–10-0.0412%22 Jun →
nuke10–130.0013%21 Jun →
nuke13–9-0.0414%21 Jun →
inferno15–15-0.0318%21 Jun →
vertigo8–8-0.0927%21 Jun →
inferno7–13-0.0115%20 Jun →
anubis13–7-0.0519%20 Jun →
inferno13–40.0119%20 Jun →
anubis14–16-0.0234%16 Jun →
overpass13–60.018%16 Jun →
nuke5–13-0.0423%16 Jun →
inferno13–9-0.0314%14 Jun →
overpass10–13-0.0321%13 Jun →
vertigo2–13-0.0916%13 Jun →
inferno15–15-0.0129%12 Jun →
nuke1–13-0.0523%12 Jun →
vertigo3–13-0.0921%12 Jun →
inferno3–13-0.0613%12 Jun →
dust27–13-0.0123%12 Jun →
overpass13–6-0.0746%10 Jun →
nuke13–8-0.0331%10 Jun →
inferno5–13-0.0321%10 Jun →
inferno13–8-0.0123%10 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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