✪ Ⓢoy ciego ♿

✪ Ⓢoy ciego ♿ — CS2 Stats

ES76561199060933435[U:1:1100667707]Steam profile ↗✓ No bans

880Tracked matches53%Win rate2022Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating12,031Blue band · top ~44.1% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (46 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: 12,031 +1,204 20 Dec – 29 Sept · 22 days played
4,56112,118peak 12,11820 Dec29 Sept
13,069Peak Premier in tracked matches
48Days played since 2023-12-18

Premier CS Rating

  • 87 below peak (12,118)
  • Next: Purple band at 15,000 — 2,969 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GG✪ Ⓢoy ciego ♿FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER12,031 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning56
Utility78

0–100 skill scores via Leetify.

Recent form

COLD47–52–1Last 10047%Win rateWLLWLLWLLL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +0.2pp headshot accuracy · −23ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 617ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 613ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 625ms

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 (+2.7 against its own average).

Aim7.5
Utility7.8
Positioning5.6
Opening Duels3.0
Clutch4.0

Strong CT-side openerEffective flashesHigh utility contribution

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 78% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

T openings. 60% T opening-duel success — entries that actually open the round.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Reaction time. 619ms 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

Aim7.5
Positioning5.6
Utility7.8
Mechanics7.9
Opening Duels6.3
Win Impact6.1

Composite 6.6/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time638ms−7ms
first ⅓ avg 645ms → last ⅓ avg 638ms
Headshot accuracy21.7%−0.9%
first ⅓ avg 22.6% → last ⅓ avg 21.7%

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

0.17Best match rating · 13–2 · inferno, 17 Jan →
59%Best headshot accuracy · 13–3 · mirage, 26 Sept →
406msFastest reaction time · 13–8 · dust2, 24 Oct →
13–2Biggest win · inferno, 17 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 37% over 27
MapGradePlayedRecordWin rateAvg rating
infernoC2710–1737%0.03
dust2B178–947%0.00
mirageB147–750%0.01
anubisB147–750%0.01
vertigoC73–443%0.02
cacheS64–267%0.01
nukeA53–260%0.01
ancient—42–250%0.01
overpass—42–250%0.04
train—21–150%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

374Matches
52%Win rate
1.16Avg K/D
73.4ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
35%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1638%1.0814.8
Vertigo825%0.9614.5
Nuke633%0.6710.7
Mirage650%1.1616.3
Ancient540%1.3220.4
Anubis560%0.8813.4
Dust22100%0.6212.5
Overpass1100%0.609.0

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.

21.8%Headshot accuracy
38.3%Accuracy (enemy spotted)
33.8%Spray accuracy
85.6%Counter-strafing
10.7°Preaim
619msReaction time
60.2%T opening success
50.1%CT opening success
0.71Enemies flashed / flash
13.6%Flash assists
9.63HE damage / grenade
14.51Flashes / match

Recommended for you

Spend your practice time on Inferno

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

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–80.0026%24 Oct →
dust27–130.0327%29 Sept →
dust211–13-0.0226%29 Sept →
mirage13–70.0624%29 Sept →
nuke11–13-0.0114%29 Sept →
nuke4–130.0930%29 Sept →
anubis13–10-0.0123%29 Sept →
vertigo2–13-0.027%28 Sept →
anubis2–13-0.0126%28 Sept →
inferno1–13-0.0523%28 Sept →
dust213–60.0326%28 Sept →
mirage13–80.0130%28 Sept →
cache2–13-0.0118%28 Sept →
mirage4–13-0.0137%28 Sept →
mirage8–13-0.0230%26 Sept →
dust213–4-0.0114%26 Sept →
dust213–80.0120%26 Sept →
cache13–70.0421%26 Sept →
cache13–30.0818%26 Sept →
cache5–13-0.0212%26 Sept →
inferno13–50.0918%26 Sept →
inferno13–40.0318%26 Sept →
mirage13–30.1559%26 Sept →
anubis11–13-0.1011%26 Sept →
anubis13–40.0621%26 Sept →
ancient12–160.0217%25 Sept →
inferno12–160.0127%25 Sept →
anubis13–50.1011%25 Sept →
cache13–7-0.0113%25 Sept →
mirage13–50.0110%25 Sept →
nuke13–10-0.077%24 Sept →
dust25–13-0.0528%24 Sept →
mirage11–13-0.0225%24 Sept →
cache13–60.0117%24 Sept →
anubis1–13-0.1020%24 Sept →
mirage13–90.0220%24 Sept →
anubis13–30.0732%24 Sept →
dust28–130.0117%24 Sept →
mirage11–130.0317%24 Sept →
anubis15–15-0.0522%28 Feb →
anubis11–13-0.025%25 Feb →
inferno13–16-0.0315%24 Feb →
dust213–100.0618%22 Feb →
inferno6–13-0.0520%1 Oct →
inferno13–160.0227%30 Sept →
inferno9–130.0328%30 Sept →
inferno12–160.0130%26 Sept →
overpass10–130.0420%21 Sept →
inferno13–50.0721%20 Sept →
nuke13–110.0415%20 Sept →
mirage2–13-0.0615%14 Sept →
inferno8–130.0223%14 Sept →
dust23–13-0.0226%14 Sept →
train8–130.0048%14 Sept →
overpass7–130.0423%14 Sept →
train13–50.004%13 Sept →
dust26–13-0.075%13 Sept →
overpass13–60.0427%9 Sept →
nuke13–11-0.0126%9 Sept →
inferno13–90.0127%8 Sept →
overpass13–90.0529%26 Jul →
mirage14–16-0.0619%17 Jul →
dust27–130.0223%10 May →
inferno5–13-0.0419%20 Apr →
ancient13–100.0024%22 Mar →
vertigo13–90.0523%26 Jan →
dust213–70.1118%26 Jan →
inferno10–13-0.0411%22 Jan →
anubis7–13-0.0111%19 Jan →
vertigo9–130.0017%17 Jan →
inferno13–20.1727%17 Jan →
inferno4–130.0433%17 Jan →
ancient13–110.0324%16 Jan →
inferno6–130.0932%16 Jan →
inferno6–130.0043%16 Jan →
anubis13–100.0622%6 Jan →
anubis13–50.1318%5 Jan →
inferno13–70.0329%4 Jan →
dust213–11-0.0618%2 Jan →
mirage13–110.0323%31 Dec →
inferno10–130.1028%24 Dec →
vertigo13–110.0521%24 Dec →
dust213–100.0426%24 Dec →
dust22–130.0323%20 Dec →
inferno13–8-0.0426%18 Dec →
vertigo8–130.0427%13 Dec →
anubis6–130.0913%11 Dec →
inferno13–30.1140%6 Dec →
dust213–16-0.0334%10 Sept →
inferno13–9-0.0219%2 Feb →
vertigo13–2-0.0118%2 Feb →
mirage7–13-0.0413%1 Feb →
inferno13–70.0311%27 Jan →
anubis13–3-0.0117%30 Dec →
inferno6–13-0.0229%22 Dec →
vertigo6–130.0219%22 Dec →
ancient6–13-0.0015%20 Dec →
inferno8–130.1523%20 Dec →
mirage13–20.0015%20 Dec →
inferno3–13-0.0421%18 Dec →

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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