老百姓

老百姓 — CS2 Stats

76561198414356119[U:1:454090391]Steam profile ↗✓ No bans

421Tracked matches57%Win rate2021Tracked since
CSDB Rating6.8 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 421 tracked matches. Play, then come back: the next observation lands here.

Rating over time

36Days played since 2024-02-23

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim87
Positioning57
Utility69

0–100 skill scores via Leetify.

Recent form

HOT49–51Last 10049%Win rateWLLWWWWWLW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +0.1pp headshot accuracy · +24ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 475ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 477ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 465ms

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 (+2.4 against its own average).

Aim8.7
Utility6.9
Positioning5.7
Opening Duels3.7
Clutch1.6

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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

Aim8.7
Positioning5.7
Utility6.9
Mechanics6.7
Opening Duels3.0
Win Impact7.2

Composite 6.8/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time491ms−57ms
first ⅓ avg 548ms → last ⅓ avg 491ms
Headshot accuracy24.3%+3.6%
first ⅓ avg 20.7% → last ⅓ avg 24.3%

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

0.15Best match rating · 13–6 · anubis, 26 Mar →
45%Best headshot accuracy · 13–6 · anubis, 26 Mar →
359msFastest reaction time · 13–2 · ancient, 26 Feb →
13–0Biggest win · ancient, 27 Apr →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 67% over 9dust2Weakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
ancientB2815–1354%0.01
mirageC2510–1540%0.00
dust2C207–1335%-0.01
infernoA149–564%0.03
anubisS96–367%0.04
overpass—21–150%0.03
nuke—21–150%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

512Matches
64%Win rate
1.70Avg K/D
84.1ADR
57%Headshot %

Clutches & streaks

28%1v1 clutch win
20%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient7165%1.3316.2
Mirage6662%1.6016.9
Anubis3765%1.5118.6
Dust23250%1.2315.8
Inferno3139%1.3417.8
Nuke1164%1.4514.3
Overpass560%1.3217.0
Vertigo450%0.9716.8

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.

24.2%Headshot accuracy
35.4%Accuracy (enemy spotted)
41.3%Spray accuracy
80.0%Counter-strafing
9.4°Preaim
492msReaction time
37.7%T opening success
46.6%CT opening success
0.54Enemies flashed / flash
9.7%Flash assists
10.09HE damage / grenade
11.93Flashes / 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 37.6835% — below the 40% mark we flag

Spend your practice time on Dust 2

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–00.0715%27 Apr →
ancient5–13-0.0130%4 Apr →
mirage8–13-0.0522%4 Apr →
mirage13–10-0.0323%4 Apr →
ancient13–11-0.0419%4 Apr →
mirage13–90.0040%2 Apr →
inferno13–50.0619%2 Apr →
mirage13–70.0118%2 Apr →
dust28–13-0.0232%2 Apr →
ancient13–9-0.0329%2 Apr →
ancient11–13-0.0924%1 Apr →
mirage13–40.0833%1 Apr →
ancient4–130.0125%31 Mar →
mirage3–13-0.0620%31 Mar →
ancient13–90.0423%31 Mar →
dust213–10.0111%31 Mar →
ancient13–60.0517%26 Mar →
anubis13–60.1545%26 Mar →
dust213–90.0423%26 Mar →
mirage7–130.0024%26 Mar →
dust213–90.0240%25 Mar →
mirage8–13-0.0032%25 Mar →
inferno13–70.0822%25 Mar →
dust23–130.0211%25 Mar →
mirage6–13-0.0512%25 Mar →
dust213–5-0.0123%24 Mar →
mirage8–13-0.0218%24 Mar →
ancient13–50.0923%24 Mar →
dust212–16-0.0330%22 Mar →
anubis19–22-0.0018%22 Mar →
ancient13–60.0828%22 Mar →
dust210–13-0.0421%22 Mar →
inferno7–130.0233%22 Mar →
dust213–70.0219%21 Mar →
overpass13–20.0917%21 Mar →
mirage16–14-0.0122%21 Mar →
dust213–6-0.0011%21 Mar →
overpass6–13-0.0217%20 Mar →
ancient11–13-0.0018%20 Mar →
anubis2–13-0.0219%11 Mar →
dust213–16-0.0425%11 Mar →
mirage14–16-0.0317%9 Mar →
dust210–13-0.0544%9 Mar →
inferno13–00.0642%9 Mar →
dust26–13-0.0713%30 Dec →
ancient3–13-0.0633%30 Dec →
nuke19–150.039%29 Dec →
inferno9–13-0.0219%29 Dec →
ancient13–11-0.0018%29 Dec →
mirage4–13-0.0126%28 Dec →
ancient13–10-0.0221%28 Dec →
inferno16–13-0.0322%28 Dec →
ancient3–13-0.0225%27 Dec →
mirage7–13-0.0421%27 Dec →
inferno13–80.0423%27 Dec →
inferno9–130.0019%10 Sept →
dust29–130.0225%10 Sept →
ancient8–13-0.0924%9 Sept →
dust210–130.0123%9 Sept →
inferno5–13-0.0129%28 Aug →
mirage8–130.0240%28 Aug →
dust213–60.0216%26 Aug →
ancient5–130.0316%26 Aug →
inferno13–90.0223%26 Aug →
ancient13–60.0417%26 Aug →
mirage13–90.0233%26 Aug →
ancient11–13-0.0115%13 Aug →
dust23–13-0.0525%13 Aug →
mirage13–70.0622%12 Aug →
ancient13–90.0114%12 Aug →
dust211–13-0.0319%11 Aug →
nuke10–13-0.0321%11 Aug →
ancient6–130.0213%1 Aug →
dust210–13-0.0112%1 Aug →
mirage9–13-0.0116%12 Jul →
inferno9–130.0122%12 Jul →
dust210–130.0126%12 Jul →
mirage13–110.0018%11 Jul →
inferno13–90.0013%11 Jul →
ancient2–13-0.0517%30 Apr →
mirage4–13-0.0116%30 Apr →
ancient16–130.0220%29 Apr →
anubis13–90.0214%29 Apr →
inferno13–50.0831%15 Apr →
mirage16–140.0313%8 Apr →
mirage2–13-0.0733%27 Feb →
mirage13–160.0419%27 Feb →
anubis13–11-0.0014%26 Feb →
ancient13–20.0013%26 Feb →
mirage10–130.0825%26 Feb →
mirage13–10.0630%25 Feb →
anubis13–90.0221%25 Feb →
ancient13–80.0120%24 Feb →
inferno13–20.0936%24 Feb →
ancient5–130.0732%24 Feb →
anubis9–130.0326%24 Feb →
ancient6–130.0326%24 Feb →
anubis13–110.0924%23 Feb →
anubis13–70.0518%23 Feb →
ancient11–00.1416%23 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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