Faceless

Faceless — CS2 Stats

GL76561199349055134[U:1:1388789406]Steam profile ↗1 game ban

412Tracked matches54%Win rate2023Tracked since
2,704Hours in CS3Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating18,847Top 50% of 215,248 CSDB-tracked playersPurple band · top ~13.1% of ranked players (population est.)
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (40 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: 18,847 +3,144 6 Sept – 4 Oct · 9 days played
15,70318,847peak 18,8476 Sept4 Oct
18,968Peak Premier in tracked matches
31Days played since 2026-07-31

Premier CS Rating

  • At peak — 18,847
  • +3,144 over 30 days · improving
  • Next: Pink band at 20,000 — 1,153 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

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 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 rate47.5%44.4%46.9%meets
Shot accuracy4.5%11.9%13.0%8.5% short
Kill/death ratio1.801.031.08above
Match win rate58.4%45.2%46.7%above

This profile matches the typical Pink band player on 3 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.GGFacelessPREMIER18,847 · Purple bandcsdb.gg/stats

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Performance scores

Aim94
Positioning70
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY61–32–7Last 10061%Win rateLWLLWWWLWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −0.6pp headshot accuracy · −10ms reaction

Win rate up 20pp 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 0.09
  • Avg headshot accuracy 17%
  • Avg reaction 414ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 18%
  • Avg reaction 416ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 422ms

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 (+1.5 against its own average).

Aim9.4
Utility5.4
Positioning7.0
Opening Duels4.0

Sharp aimerEffective flashesLimited 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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: aim profile, positioning 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

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 59% on T to 42% on CT — first contacts on the defending side are being lost.

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

Aim9.4
Positioning7.0
Utility5.4
Mechanics6.6
Opening Duels5.2
Win Impact6.2

Composite 7.2/10 (Strong), 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 rating0.04+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time430ms−106ms
first ⅓ avg 536ms → last ⅓ avg 430ms
Headshot accuracy19.5%−0.4%
first ⅓ avg 19.9% → last ⅓ avg 19.5%

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

0.32Best match rating · 9–1 · vertigo, 30 Aug →
36%Best headshot accuracy · 13–1 · office, 10 Sept →
281msFastest reaction time · 9–5 · inferno, 20 Sept →
13–1Biggest win · anubis, 19 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
5–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 85% over 13infernoWeakest map · 39% over 28
MapGradePlayedRecordWin rateAvg rating
infernoC2811–1739%0.04
mirageS1311–285%0.06
dust2S139–469%0.01
nukeS128–467%0.06
ancientC104–640%0.02
officeS96–367%0.04
anubisA53–260%0.03
cache—43–175%0.02
vertigo—33–0100%0.15
overpass—22–0100%0.19
train—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,249Lifetime kills
1.80K/D · Top 5% of Purple band
811Matches
58.4%Match win rate · Top 5% of Purple band
47.5%Headshot % · Top 50% of Purple band
4.5%Shot accuracy
2,566MVPs
229Hours (in match)
844Bombs planted
260Bombs defused

Most-used weapons

Lifetime map wins

861dust2
772nuke
749vertigo
742inferno
339office
155train
55italy
17cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.3%Headshot accuracy
41.5%Accuracy (enemy spotted)
45.9%Spray accuracy
79.6%Counter-strafing
7.4°Preaim
463msReaction time
59.0%T opening success
42.4%CT opening success
0.80Enemies flashed / flash
6.1%Flash assists
9.03HE damage / grenade
4.15Flashes / 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.

39% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office7–130.0416%10 Nov →
nuke9–30.3014%9 Oct →
office11–13-0.0121%4 Oct →
inferno6–13-0.0413%4 Oct →
mirage13–40.1520%4 Oct →
dust213–60.0116%3 Oct →
nuke13–40.0328%3 Oct →
inferno5–90.0511%3 Oct →
nuke13–60.0615%3 Oct →
office13–80.0422%30 Sept →
inferno8–80.0117%29 Sept →
inferno9–40.1113%29 Sept →
inferno8–80.0328%28 Sept →
inferno5–9-0.1417%28 Sept →
inferno7–90.0617%27 Sept →
nuke7–9-0.089%27 Sept →
overpass9–50.1819%27 Sept →
inferno9–30.1327%27 Sept →
nuke9–40.1213%27 Sept →
dust211–13-0.0924%27 Sept →
dust213–11-0.0225%27 Sept →
ancient9–130.0121%26 Sept →
nuke13–90.0325%26 Sept →
inferno7–130.0528%26 Sept →
ancient9–130.0622%26 Sept →
dust28–13-0.0523%26 Sept →
cache15–150.0313%26 Sept →
mirage13–6-0.0119%26 Sept →
anubis6–00.0117%26 Sept →
dust212–120.0424%25 Sept →
cache13–5-0.0016%25 Sept →
inferno9–50.2436%20 Sept →
anubis13–10.1317%19 Sept →
inferno5–130.0232%19 Sept →
inferno13–80.0315%19 Sept →
ancient13–90.0725%19 Sept →
inferno5–13-0.0523%13 Sept →
ancient5–130.0614%13 Sept →
inferno13–70.015%12 Sept →
dust24–13-0.0216%12 Sept →
nuke3–13-0.066%12 Sept →
dust213–60.0912%12 Sept →
office13–90.0415%10 Sept →
vertigo13–70.0616%10 Sept →
office13–10.1636%10 Sept →
ancient13–6-0.0116%10 Sept →
office3–130.0213%9 Sept →
office13–70.1021%9 Sept →
mirage13–70.0214%7 Sept →
inferno15–150.0317%7 Sept →
dust213–50.0121%7 Sept →
nuke13–50.0420%6 Sept →
office13–10-0.0415%6 Sept →
office13–50.0321%6 Sept →
mirage13–110.1417%6 Sept →
dust213–9-0.0315%6 Sept →
ancient13–90.0217%5 Sept →
mirage13–40.1319%5 Sept →
cache13–70.0424%5 Sept →
inferno7–90.0713%5 Sept →
nuke9–20.1533%5 Sept →
inferno13–30.1719%30 Aug →
inferno14–160.0622%30 Aug →
mirage13–70.0926%30 Aug →
overpass9–20.2015%30 Aug →
vertigo9–10.3219%30 Aug →
ancient6–130.0223%30 Aug →
dust213–80.0918%29 Aug →
train13–90.0511%29 Aug →
anubis5–13-0.0318%29 Aug →
mirage13–70.0424%29 Aug →
inferno9–20.1725%29 Aug →
mirage13–80.1116%24 Aug →
dust213–40.0632%24 Aug →
inferno4–9-0.0822%24 Aug →
inferno8–80.1622%24 Aug →
inferno9–7-0.1517%24 Aug →
anubis6–130.0328%23 Aug →
anubis13–100.0316%22 Aug →
inferno9–30.0621%22 Aug →
inferno3–9-0.1120%22 Aug →
inferno13–40.0817%22 Aug →
mirage13–80.0825%22 Aug →
mirage13–30.0412%21 Aug →
nuke13–40.0719%21 Aug →
inferno9–7-0.0324%20 Aug →
mirage13–2-0.0326%8 Aug →
ancient9–13-0.0622%8 Aug →
mirage10–130.0616%5 Aug →
dust213–60.0422%3 Aug →
vertigo13–110.0818%1 Aug →
nuke7–130.1215%1 Aug →
inferno8–80.1225%1 Aug →
inferno5–9-0.0211%1 Aug →
nuke2–9-0.1029%1 Aug →
ancient8–130.027%1 Aug →
mirage5–13-0.0720%1 Aug →
ancient13–80.0114%31 Jul →
cache13–80.0228%31 Jul →
dust213–7-0.0117%31 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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