facada

facada — CS2 Stats

76561199262874660[U:1:1302608932]Steam profile ↗✓ No bans

510Tracked matches59%Win rate2022Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating24,425Top 25% of 204,150 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)
CSDB Leaderboard#27438 of 251256 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 510 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,425 +1,909 30 May – 23 Sept · 4 days played
22,51624,425peak 24,42530 May23 Sept
24,425Peak Premier in tracked matches
46Days played since 2026-03-10

Premier CS Rating

  • At peak — 24,425
  • 0 over 90 days
  • Next: Red band at 25,000 — 575 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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

Share this profile

CSDB.GGfacadaFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER24,425 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning72
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY60–37–3Last 10060%Win rateWWLWTWWTWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +3.4pp headshot accuracy · +62ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 566ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 571ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 540ms

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 (+1.7 against its own average).

Aim7.3
Utility5.0
Positioning7.2
Opening Duels5.8
Clutch4.2

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

donk

Plays most like donk 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Areas to improve

T-side openings. Opening success drops from 58% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim7.3
Positioning7.2
Utility5.0
Mechanics6.3
Opening Duels4.8
Win Impact7.9

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time550ms−71ms
first ⅓ avg 620ms → last ⅓ avg 550ms
Headshot accuracy21.1%−0.1%
first ⅓ avg 21.2% → last ⅓ avg 21.1%

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.

Personal bests

0.23Best match rating · 13–1 · mirage, 3 Apr →
55%Best headshot accuracy · 9–5 · inferno, 30 May →
391msFastest reaction time · 13–1 · mirage, 28 May →
13–1Biggest win · mirage, 28 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
10–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 83% over 6ancientWeakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA4427–1761%0.03
dust2A2313–1057%0.01
ancientB126–650%0.01
nukeA95–456%0.03
anubisS65–183%0.01
inferno—43–175%0.07
cache—21–150%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

250Matches
54%Win rate
1.15Avg K/D
80.5ADR
51%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9258%1.2616.4
Dust23244%1.0715.7
Ancient2631%1.0415.9
Anubis1839%1.0317.7
Nuke1258%1.0717.5
Inferno1070%1.3216.9
Cache757%1.1516.9
Overpass771%1.1416.7

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.

20.3%Headshot accuracy
32.3%Accuracy (enemy spotted)
35.1%Spray accuracy
78.1%Counter-strafing
8.6°Preaim
556msReaction time
40.9%T opening success
57.8%CT opening success
0.58Enemies flashed / flash
5.6%Flash assists
5.86HE damage / grenade
11.14Flashes / match

Recent matches

MapScoreRatingHS%Date
mirage13–60.0331%15 Aug →
inferno13–110.0824%30 Jun →
anubis9–130.0130%30 Jun →
ancient13–40.0717%30 Jun →
ancient15–15-0.0011%30 Jun →
dust213–110.0523%28 Jun →
cache13–90.0414%28 Jun →
nuke8–80.0418%30 May →
inferno9–50.1255%30 May →
mirage17–19-0.0321%30 May →
nuke13–100.0822%30 May →
mirage13–110.0720%30 May →
mirage2–80.0514%29 May →
mirage8–13-0.0217%29 May →
dust213–7-0.0518%28 May →
mirage13–10.0735%28 May →
dust213–90.0121%27 May →
mirage13–11-0.0518%27 May →
ancient13–20.1420%27 May →
ancient8–130.0225%27 May →
dust213–8-0.0416%27 May →
dust29–13-0.0423%27 May →
mirage5–130.0422%26 May →
dust211–130.0731%25 May →
dust213–50.0529%22 May →
dust21–13-0.114%22 May →
mirage10–13-0.0512%21 May →
nuke10–13-0.0211%21 May →
dust213–90.0416%16 May →
dust212–16-0.0020%16 May →
anubis13–100.0121%15 May →
dust213–100.0424%13 May →
cache9–130.0716%9 May →
mirage11–130.1629%9 May →
dust216–130.1316%8 May →
mirage1–13-0.0427%3 May →
inferno13–160.0225%1 May →
mirage13–10.1618%1 May →
mirage6–130.0727%1 May →
dust213–8-0.0227%27 Apr →
ancient9–13-0.0628%25 Apr →
mirage13–11-0.0111%21 Apr →
mirage13–110.0420%21 Apr →
mirage0–13-0.0731%21 Apr →
dust210–130.0610%20 Apr →
mirage3–13-0.0429%19 Apr →
ancient13–110.0030%19 Apr →
mirage13–110.0529%19 Apr →
dust212–120.0412%17 Apr →
mirage13–110.0928%17 Apr →
ancient13–11-0.0114%12 Apr →
ancient13–50.1126%12 Apr →
mirage13–10-0.0322%12 Apr →
mirage13–6-0.0320%11 Apr →
mirage13–50.0423%11 Apr →
nuke13–30.1923%11 Apr →
dust213–7-0.0113%6 Apr →
mirage13–5-0.0124%5 Apr →
mirage9–13-0.0512%5 Apr →
mirage4–13-0.0715%5 Apr →
mirage8–130.1027%4 Apr →
inferno13–100.0815%4 Apr →
ancient12–16-0.0420%4 Apr →
mirage13–10.2326%3 Apr →
mirage13–6-0.0734%3 Apr →
nuke13–5-0.0426%28 Mar →
mirage5–130.0524%27 Mar →
mirage7–130.0221%26 Mar →
mirage13–80.0327%25 Mar →
anubis13–30.0219%24 Mar →
mirage16–120.0123%23 Mar →
mirage13–5-0.0229%23 Mar →
anubis13–1-0.0115%22 Mar →
mirage13–7-0.0423%22 Mar →
dust210–130.0825%22 Mar →
mirage13–50.1721%22 Mar →
dust213–10.0317%21 Mar →
dust213–60.0130%21 Mar →
anubis13–70.0420%20 Mar →
dust22–13-0.0235%20 Mar →
mirage13–7-0.0015%20 Mar →
anubis13–20.0215%20 Mar →
mirage13–90.1015%20 Mar →
mirage13–8-0.029%19 Mar →
ancient7–13-0.0223%19 Mar →
nuke11–13-0.0730%19 Mar →
mirage13–50.1619%18 Mar →
mirage13–80.1030%16 Mar →
mirage13–8-0.0211%14 Mar →
mirage11–13-0.0013%14 Mar →
dust213–30.0330%14 Mar →
nuke8–13-0.0024%14 Mar →
nuke13–10.0225%12 Mar →
nuke13–10.0625%12 Mar →
dust210–13-0.0418%12 Mar →
dust26–13-0.0323%12 Mar →
mirage2–13-0.0515%11 Mar →
ancient9–13-0.0712%11 Mar →
ancient13–6-0.0616%10 Mar →
mirage13–100.0532%10 Mar →

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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