FACELESS ✪

FACELESS ✪ — CS2 Stats

76561198871874335[U:1:911608607]Steam profile ↗✓ No bans

689Tracked matches58%Win rate2020Tracked since
536Hours in CS
CSDB Rating6.2 SolidPositional Player
Premier CS Rating22,644Top 25% of 204,219 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#46013 of 251293 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (10 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: 22,644 +1,459 11 Sept – 2 Oct · 7 days played
21,18523,624peak 23,62411 Sept2 Oct
23,957Peak Premier in tracked matches
11Days played since 2026-09-11

Premier CS Rating

  • 980 below peak (23,624)
  • Next: Red band at 25,000 — 2,356 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-11
  • Purple band first seen 2026-09-11

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 Level 5 among CSDB-tracked players (n=13,649), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate59.6%43.7%44.8%above
Shot accuracy10.0%12.0%12.4%2.5% short
Kill/death ratio1.391.021.03above
Match win rate45.4%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFACELESS ✪FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER22,644 · Pink 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

Aim75
Positioning67
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY55–31–14Last 10055%Win rateWLWWTLWWTT

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −2.2pp headshot accuracy · −40ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 549ms

Last 10

  • 5–2–3 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 498ms

Last 20

  • 10–6–4 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 518ms

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 (+2.8 against its own average).

Aim7.5
Utility1.9
Positioning6.7
Opening Duels3.2

Limited 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

donk

Plays most like donk 74% playstyle similarity

Most alike: positioning profile, aim profile.

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

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. 61% T opening-duel success — entries that actually open the round.

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 61% on T to 45% 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

Aim7.5
Positioning6.7
Utility1.9
Mechanics5.6
Opening Duels5.7
Win Impact7.6

Composite 6.2/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time514ms−69ms
first ⅓ avg 583ms → last ⅓ avg 514ms
Headshot accuracy16.1%−2.8%
first ⅓ avg 18.9% → last ⅓ avg 16.1%

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

0.17Best match rating · 13–5 · mirage, 30 Sept →
42%Best headshot accuracy · 9–1 · italy, 26 Sept →
375msFastest reaction time · 15–15 · nuke, 2 Oct →
13–0Biggest win · anubis, 30 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 78% over 9infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2815–1354%0.03
infernoD123–925%0.00
cacheA116–555%0.01
nukeB105–550%0.06
mirageS96–367%0.02
anubisS97–278%0.00
ancientS96–367%-0.00
vertigoS64–267%0.02
office—20–20%-0.02
overpass—10–10%-0.08
train—11–0100%0.02
italy—11–0100%0.05
boulder—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,954Lifetime kills
1.39K/D · Top 10% of Level 5 players
1,226Matches
45.4%Match win rate · Top 50% of Level 5 players
59.6%Headshot % · Top 5% of Level 5 players
10.0%Shot accuracy
3,279MVPs
536Hours (in match)
1,040Bombs planted
338Bombs defused

Most-used weapons

AK-4714,614
AWP2,370
MP9409
Knife399

Lifetime map wins

2,685dust2
2,444inferno
911nuke
682vertigo
210train
138office
31italy
16cbble

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

Faceit stats

Combat

365Matches
48%Win rate
1.06Avg K/D
—ADR
45%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLWWW

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.

16.6%Headshot accuracy
35.4%Accuracy (enemy spotted)
34.5%Spray accuracy
75.2%Counter-strafing
7.9°Preaim
519msReaction time
61.0%T opening success
44.8%CT opening success
0.23Enemies flashed / flash
2.3%Flash assists
9.78HE damage / grenade
1.10Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2315 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–60.099%5 Oct →
dust211–13-0.0220%5 Oct →
vertigo13–5-0.049%5 Oct →
mirage13–6-0.0022%5 Oct →
dust212–120.1116%4 Oct →
cache14–160.0121%2 Oct →
cache13–60.059%2 Oct →
mirage11–2-0.027%2 Oct →
anubis15–150.0320%2 Oct →
nuke15–150.0111%2 Oct →
dust213–7-0.0422%2 Oct →
nuke12–120.0822%2 Oct →
mirage13–7-0.056%2 Oct →
cache13–8-0.0624%1 Oct →
dust28–13-0.039%1 Oct →
dust210–13-0.0325%1 Oct →
nuke5–130.0219%1 Oct →
inferno3–13-0.0820%1 Oct →
anubis13–9-0.095%1 Oct →
mirage13–50.1715%30 Sept →
nuke4–13-0.0221%30 Sept →
inferno2–13-0.0919%30 Sept →
cache3–0-0.050%30 Sept →
dust211–130.0217%30 Sept →
mirage13–60.0431%30 Sept →
anubis9–130.0311%30 Sept →
ancient13–80.0914%30 Sept →
mirage9–130.0411%30 Sept →
cache13–40.0817%30 Sept →
ancient13–11-0.0423%30 Sept →
inferno7–130.0415%30 Sept →
anubis13–00.0817%30 Sept →
cache12–120.0522%30 Sept →
nuke13–00.1311%30 Sept →
inferno12–12-0.0121%30 Sept →
cache10–130.0012%30 Sept →
cache5–10.0317%30 Sept →
overpass12–12-0.0820%30 Sept →
inferno16–12-0.0411%30 Sept →
mirage10–13-0.0524%30 Sept →
nuke13–20.0825%30 Sept →
ancient13–1-0.0420%29 Sept →
dust213–40.0622%29 Sept →
dust213–80.0824%29 Sept →
dust213–3-0.0232%29 Sept →
dust26–130.1118%29 Sept →
dust213–20.1625%29 Sept →
dust213–60.0617%29 Sept →
dust213–60.0927%29 Sept →
ancient4–13-0.0224%29 Sept →
vertigo13–60.0519%29 Sept →
anubis6–20.017%29 Sept →
dust213–10.0619%29 Sept →
ancient7–13-0.0317%29 Sept →
dust213–50.0313%29 Sept →
anubis13–11-0.0311%29 Sept →
dust20–13-0.0336%29 Sept →
cache9–130.0216%29 Sept →
ancient13–7-0.0310%29 Sept →
inferno12–120.0521%29 Sept →
nuke15–150.0122%28 Sept →
cache13–110.0225%28 Sept →
nuke13–110.0526%28 Sept →
ancient13–100.0413%28 Sept →
ancient13–20.0833%28 Sept →
inferno11–130.0118%28 Sept →
dust213–110.0322%27 Sept →
mirage13–8-0.019%27 Sept →
dust213–90.0423%27 Sept →
dust26–130.0124%27 Sept →
dust215–150.0616%27 Sept →
office8–13-0.0219%27 Sept →
anubis13–6-0.019%27 Sept →
inferno12–120.0221%27 Sept →
mirage9–130.0215%27 Sept →
ancient9–13-0.0613%27 Sept →
dust213–60.0623%27 Sept →
vertigo13–50.0224%27 Sept →
inferno13–80.0633%27 Sept →
vertigo13–40.119%27 Sept →
dust26–130.0125%27 Sept →
dust213–11-0.0117%26 Sept →
nuke13–110.1417%26 Sept →
nuke13–50.0923%26 Sept →
cache7–13-0.0326%26 Sept →
train13–70.0213%26 Sept →
italy9–10.0542%26 Sept →
boulder13–00.049%26 Sept →
anubis13–8-0.0310%26 Sept →
vertigo10–13-0.0113%26 Sept →
dust23–10-0.0410%26 Sept →
dust28–130.0516%25 Sept →
vertigo11–13-0.0318%25 Sept →
office12–12-0.0328%25 Sept →
anubis13–40.0314%24 Sept →
dust213–90.0113%24 Sept →
dust213–50.0825%24 Sept →
inferno12–12-0.0213%24 Sept →
inferno12–120.0229%24 Sept →
dust29–130.0726%24 Sept →

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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