meattown

meattown — CS2 Stats

76561198352844449[U:1:392578721]Steam profile ↗✓ No bans

108Tracked matches50%Win rate2023Tracked since
CSDB Rating4.7 DevelopingClutch Specialist
FaceitLevel 5 · 1,094 ELOTop 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 108 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 1,094 +0 3 Sept – 19 Sept · 2 observations
1,0941,094peak 1,0943 Sept19 Sept
1,094Highest Faceit ELO seen on CSDB
36Days played since 2024-04-21

Faceit ELO

  • At peak — 1,094
  • Next: Level 6 at 1,201 — 107 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-03
  • Level 4 first seen 2026-09-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGmeattownFACEITLevel 5 · 1,094 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,094csdb.gg/stats

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Performance scores

Aim75
Positioning37
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY44–31–5Last 8055%Win rateLLLWLWWWLT

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −4.1pp headshot accuracy · +11ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 702ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 720ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 714ms

Newest first, from the last 80 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.2 against its own average).

Aim7.5
Utility3.3
Positioning3.7
Opening Duels0.2
Clutch4.0

Strong CT-side opener

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 37 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 42% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 676ms 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

Aim7.5
Positioning3.7
Utility3.3
Mechanics7.4
Opening Duels1.5
Win Impact5.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time687ms+3ms
first ⅓ avg 685ms → last ⅓ avg 687ms
Headshot accuracy19.1%−2.2%
first ⅓ avg 21.3% → last ⅓ avg 19.1%

Rolling 5-match average across the last 80 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 13–4 · dust2, 6 Feb →
33%Best headshot accuracy · 13–9 · dust2, 1 Feb →
469msFastest reaction time · 11–13 · ancient, 25 Apr →
13–0Biggest win · dust2, 10 Feb →

Across the last 80 tracked matches.

Highlights

8Longest win streak
L3Current streak
5–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 65% over 40ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S4026–1465%-0.01
vertigoB137–654%-0.02
wardenA85–363%0.01
ancientC52–340%-0.03
mirageA53–260%0.04
nuke—40–40%-0.08
poseidon—20–20%-0.14
cache—10–10%-0.09
inferno—11–0100%-0.02
anubis—10–10%-0.04

Across the last 80 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches
56%Win rate
0.74Avg K/D
63.0ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo989%0.7810.4
Mirage667%0.869.5
Ancient633%0.6411.0
Nuke425%0.5410.0
Inferno30%0.6010.3
Anubis367%0.676.3
Dust2367%1.0715.0

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.

20.0%Headshot accuracy
36.9%Accuracy (enemy spotted)
42.1%Spray accuracy
83.4%Counter-strafing
9.4°Preaim
676msReaction time
17.3%T opening success
42.0%CT opening success
0.52Enemies flashed / flash
5.5%Flash assists
8.58HE damage / grenade
6.06Flashes / 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 17.3032% — below the 40% mark we flag

Spend your practice time on Ancient

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo5–11-0.0923%14 Jul →
dust25–13-0.0215%14 Jul →
vertigo0–7-0.020%13 Jul →
vertigo13–6-0.0529%13 Jul →
dust211–13-0.0212%13 Jul →
dust213–7-0.0126%13 Jul →
dust212–7-0.0018%10 May →
dust213–7-0.0418%10 May →
cache3–13-0.0915%1 May →
dust212–12-0.0217%24 Apr →
nuke2–130.0029%24 Apr →
warden13–40.0116%23 Apr →
ancient13–5-0.0319%23 Apr →
inferno13–8-0.0220%23 Apr →
dust213–10-0.0227%23 Apr →
warden13–10-0.0418%20 Apr →
warden13–10.1518%20 Apr →
dust210–13-0.0532%20 Apr →
dust210–130.0221%20 Apr →
dust213–110.0114%18 Apr →
warden10–130.0114%18 Apr →
warden13–6-0.0325%18 Apr →
warden12–120.0312%17 Apr →
warden6–13-0.0923%17 Apr →
warden13–100.0115%17 Apr →
vertigo11–13-0.0422%20 Mar →
poseidon3–9-0.2020%20 Mar →
poseidon8–8-0.0914%12 Mar →
vertigo9–6-0.0524%12 Mar →
dust26–13-0.0823%23 Feb →
ancient12–16-0.0018%20 Feb →
dust213–10-0.0326%20 Feb →
nuke7–13-0.0624%18 Feb →
ancient6–130.0116%18 Feb →
anubis7–13-0.0418%18 Feb →
mirage13–80.0327%17 Feb →
ancient13–9-0.0424%15 Feb →
dust29–13-0.0312%15 Feb →
dust213–11-0.049%14 Feb →
dust213–7-0.107%14 Feb →
dust213–8-0.029%14 Feb →
dust213–50.0012%14 Feb →
dust213–70.0424%14 Feb →
dust23–13-0.1210%14 Feb →
dust29–130.0323%12 Feb →
dust213–8-0.0320%12 Feb →
dust213–70.0218%10 Feb →
dust213–60.0719%10 Feb →
dust213–00.1128%10 Feb →
dust213–80.009%10 Feb →
dust213–9-0.0416%9 Feb →
dust213–40.0018%8 Feb →
dust213–100.0114%8 Feb →
dust28–130.0230%8 Feb →
dust25–13-0.0314%8 Feb →
dust210–13-0.0128%8 Feb →
dust213–110.0130%8 Feb →
dust212–12-0.0431%7 Feb →
dust213–40.1522%6 Feb →
vertigo6–13-0.0618%1 Feb →
dust213–9-0.0433%1 Feb →
dust213–60.0129%30 Jan →
mirage13–80.0827%30 Jan →
vertigo9–2-0.0322%22 Dec →
dust213–30.0531%18 Jul →
mirage1–130.0119%18 Jul →
dust213–90.0129%17 Jul →
nuke8–13-0.0213%16 Jul →
dust25–110.0520%16 Jul →
vertigo13–100.0115%16 Jul →
vertigo13–20.0715%15 Jul →
vertigo10–130.0216%15 Jul →
mirage5–130.0314%15 Jul →
nuke2–9-0.2433%13 Jul →
mirage13–20.0212%6 Apr →
vertigo12–12-0.0418%2 Apr →
vertigo13–110.0421%2 Apr →
dust216–14-0.0313%13 May →
ancient11–13-0.0710%25 Apr →
vertigo13–6-0.0219%21 Apr →

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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