4DoorsMoreWhores

4DoorsMoreWhores — CS2 Stats

RU76561199024169538[U:1:1063903810]Steam profile ↗✓ No bans

77Tracked matches67%Win rate2020Tracked since
CSDB Rating6.5 SolidAll-Rounder
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GG4DoorsMoreWhoresFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim90
Positioning46
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY50–13–5Last 6874%Win rateTWWLTWWWWW

Last 10 vs previous 10: −30pp win rate · −0.06 avg rating · +0.4pp headshot accuracy · −22ms 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

  • 2–1–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 397ms

Last 10

  • 7–1–2 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 442ms

Last 20

  • 17–1–2 · 85% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 453ms

Newest first, from the last 68 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim9.0
Utility3.4
Positioning4.6
Opening Duels3.5
Clutch4.8

Sharp aimer

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower 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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 49% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0
Positioning4.6
Utility3.4
Mechanics7.3
Opening Duels2.6
Win Impact10.0

Composite 6.5/10 (Solid), 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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time459ms−40ms
first ⅓ avg 499ms → last ⅓ avg 459ms
Headshot accuracy28.9%−6.8%
first ⅓ avg 35.7% → last ⅓ avg 28.9%

Rolling 5-match average across the last 68 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.27Best match rating · 16–0 · overpass, 3 Jul →
90%Best headshot accuracy · 9–2 · cache, 30 Sept →
250msFastest reaction time · 9–5 · inferno, 16 Oct →
16–0Biggest win · overpass, 3 Jul →

Across the last 68 tracked matches.

Highlights

16Longest win streak
5–0In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 83% over 12trainWeakest map · 50% over 6
MapGradePlayedRecordWin rateAvg rating
mirageS2114–767%0.05
nukeS1210–283%0.05
infernoS108–280%0.07
trainB63–350%0.03
dust2A53–260%-0.00
overpass—44–0100%0.10
cache—32–167%0.02
office—33–0100%-0.00
vertigo—33–0100%0.12
ancient—10–10%-0.06

Across the last 68 tracked matches.

Faceit stats

Combat

18Matches
44%Win rate
0.79Avg K/D
68.1ADR
46%Headshot %

Clutches & streaks

44%1v1 clutch win
13%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage825%0.8311.9
Train367%0.9211.3
Inferno250%0.7911.0
Ancient250%0.498.0
Overpass2100%0.9513.0
Nuke10%0.417.0

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.

29.5%Headshot accuracy
37.2%Accuracy (enemy spotted)
25.4%Spray accuracy
83.0%Counter-strafing
6.0°Preaim
547msReaction time
31.9%T opening success
48.7%CT opening success
0.56Enemies flashed / flash
1.6%Flash assists
7.36HE damage / grenade
7.06Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.9305% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage15–150.0322%31 Aug →
nuke3–0-0.080%31 Aug →
mirage16–140.0631%29 Aug →
inferno5–9-0.0916%29 Aug →
cache12–12-0.0342%29 Aug →
office13–6-0.0530%29 Aug →
mirage13–100.0250%26 Aug →
dust213–5-0.0126%26 Aug →
office13–30.0633%26 Aug →
office13–3-0.0243%26 Aug →
mirage16–14-0.0330%24 Aug →
overpass9–70.0626%24 Aug →
inferno13–50.0830%20 Aug →
nuke13–20.0736%20 Aug →
mirage13–40.0820%20 Aug →
train13–10.1325%18 Aug →
train13–90.0333%17 Aug →
inferno13–90.0339%17 Aug →
nuke9–70.0523%17 Aug →
vertigo9–60.0025%17 Aug →
mirage16–130.0420%17 Aug →
train9–13-0.0136%16 Aug →
nuke3–13-0.0419%16 Aug →
train12–12-0.0342%15 Aug →
dust29–13-0.0723%11 Aug →
dust26–13-0.0418%24 Jul →
inferno3–130.0222%14 Aug →
mirage3–13-0.0241%14 Aug →
mirage9–13-0.0412%13 Aug →
train13–100.0110%13 Aug →
overpass13–8-0.0510%12 Aug →
ancient0–10-0.0621%12 Aug →
mirage5–13-0.0218%12 Aug →
overpass16–00.2789%3 Jul →
inferno16–60.1336%5 Jan →
mirage16–30.1663%25 Nov →
mirage16–10.0946%25 Nov →
inferno9–10.2677%31 Oct →
vertigo9–10.2041%16 Oct →
inferno9–50.2176%16 Oct →
mirage9–30.2351%16 Oct →
mirage9–30.1940%11 Oct →
mirage9–10.1636%7 Oct →
nuke9–60.1146%7 Oct →
nuke9–30.1430%7 Oct →
nuke8–80.0229%6 Oct →
mirage9–30.0324%3 Oct →
inferno9–20.0341%3 Oct →
vertigo9–50.1438%2 Oct →
dust29–20.0829%2 Oct →
mirage2–90.0360%30 Sept →
cache9–20.1190%30 Sept →
inferno9–6-0.0134%30 Sept →
nuke9–20.0310%30 Sept →
overpass9–70.1237%30 Sept →
train8–80.0645%30 Sept →
mirage9–60.0142%30 Sept →
inferno16–90.0626%29 Sept →
mirage9–30.0422%29 Sept →
nuke16–80.1550%29 Sept →
nuke16–40.0939%29 Sept →
cache16–4-0.0148%29 Sept →
dust212–40.0250%29 Sept →
nuke16–70.1134%28 Sept →
mirage6–9-0.0719%10 Sept →
mirage5–90.0915%23 Aug →
nuke16–90.0016%16 Jan →
mirage16–120.0015%18 Nov →

Match data via Leetify.

Recent teammates

Milestones

16-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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