Meatismurda

Meatismurda — CS2 Stats

76561197965999321[U:1:5733593]Steam profile ↗✓ No bans

1,652Tracked matches43%Win rate2020Tracked since
1,277Hours in CS
CSDB Rating4.6 Developing
Premier CS Rating19,022Purple band · top ~12.4% of ranked players (population est.)
CSDB Leaderboard#14129 of 30535 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 rate48.4%44.1%47.2%above
Shot accuracy11.0%11.4%12.7%1.7% short
Kill/death ratio0.861.031.090.23 short
Match win rate44.9%45.2%46.6%1.7% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGMeatismurdaPREMIER19,022 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning40
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateLWWLLWLWLL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Aim5.8
Aggression4.1
Utility5.3
Positioning4.0
Opening Duels0.4
Clutch7.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; lower aim 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

Areas to improve

T-side openings. Opening success drops from 46% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim5.8
Positioning4.0
Utility5.3
Mechanics5.6
Opening Duels1.9
Win Impact2.8

Composite 4.6/10 (Developing), 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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time596ms−57ms
first ⅓ avg 654ms → last ⅓ avg 596ms
Headshot accuracy15.1%+0.7%
first ⅓ avg 14.4% → last ⅓ avg 15.1%

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.

Highlights

0.16Best rating — nuke 13–3
131Biggest win — dust2
4Longest win streak
77In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 63% over 16ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C24101442%-0.02
nukeA1610663%-0.01
infernoC1661038%-0.04
ancientD1331023%-0.03
cacheC94544%-0.01
mirageC94544%-0.03
anubisA74357%-0.02
overpass42250%0.02
shelter110100%0.06
vertigo110100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,127Lifetime kills
0.86K/D
3,134Matches
44.9%Match win rate
48.4%Headshot % · Top 50% of Purple band
11.0%Shot accuracy
5,068MVPs
1,277Hours (in match)
2,573Bombs planted
584Bombs defused

Most-used weapons

Lifetime map wins

4,519dust2
4,134nuke
3,774inferno
1,445vertigo
1,312train
257cbble
73office
31lake

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

Faceit stats

Combat

577Matches
50%Win rate
0.78Avg K/D
61.9ADR
41%Headshot %

Clutches & streaks

57%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21080%0.8912.2
Ancient425%0.659.3
Cache333%0.6910.7
Mirage367%0.709.7
Anubis367%0.588.3
Inferno367%1.1911.7
Vertigo1100%0.9313.0
Nuke10%0.569.0

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.

15.4%Headshot accuracy
36.2%Accuracy (enemy spotted)
35.3%Spray accuracy
75.2%Counter-strafing
11.2°Preaim
599msReaction time
17.2%T opening success
45.6%CT opening success
0.49Enemies flashed / flash
4.3%Flash assists
9.13HE damage / grenade
13.25Flashes / 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 0.4889 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 17.2413% — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0117%26 Aug
cache13–90.0112%26 Aug
ancient16–140.0115%23 Aug
nuke3–13-0.0817%23 Aug
mirage3–13-0.0112%22 Aug
inferno13–100.0117%22 Aug
ancient10–13-0.0313%21 Aug
shelter8–20.066%17 Aug
dust21–13-0.0413%17 Aug
inferno13–16-0.029%16 Aug
cache11–13-0.0616%15 Aug
ancient10–13-0.0316%14 Aug
mirage13–3-0.1221%14 Aug
inferno5–13-0.0725%14 Aug
dust29–130.0115%14 Aug
vertigo13–9-0.0333%11 Aug
anubis6–13-0.0425%11 Aug
inferno11–13-0.0225%11 Aug
cache2–8-0.019%8 Aug
cache13–4-0.049%8 Aug
cache13–40.0210%24 Jul
anubis13–3-0.0413%24 Jul
nuke13–110.0223%24 Jul
mirage6–13-0.0629%24 Jul
inferno13–9-0.0710%24 Jul
overpass8–13-0.015%24 Jul
ancient8–13-0.0614%23 Jul
anubis13–90.024%23 Jul
dust211–13-0.0917%23 Jul
dust213–6-0.019%21 Jul
inferno8–13-0.055%20 Jul
dust27–130.0215%17 Jul
ancient13–50.0723%17 Jul
mirage13–11-0.0515%17 Jul
inferno6–13-0.0910%17 Jul
nuke13–9-0.0114%17 Jul
dust29–13-0.0411%14 Jul
mirage7–13-0.0111%14 Jul
nuke16–140.0313%13 Jul
dust213–100.0414%13 Jul
inferno11–130.0223%13 Jul
inferno15–15-0.0016%11 Jul
dust28–10.0714%11 Jul
dust213–60.0522%11 Jul
nuke4–13-0.0815%11 Jul
cache9–13-0.0511%11 Jul
dust216–13-0.082%10 Jul
cache15–150.0119%10 Jul
nuke16–14-0.0711%10 Jul
dust28–13-0.0319%9 Jul
cache13–8-0.0013%9 Jul
cache10–13-0.0222%9 Jul
inferno8–13-0.0217%6 Jul
overpass10–130.0110%6 Jul
ancient2–13-0.0513%6 Jul
dust213–5-0.0222%5 Jul
inferno16–13-0.0212%5 Jul
nuke16–13-0.0118%5 Jul
dust26–13-0.0425%2 Jul
overpass13–40.0515%2 Jul
ancient9–13-0.0410%1 Jul
anubis10–13-0.0215%29 Jun
overpass13–50.0410%29 Jun
nuke13–10-0.007%29 Jun
dust213–11-0.0120%28 Jun
mirage1–13-0.089%28 Jun
nuke14–16-0.0221%28 Jun
dust22–13-0.117%24 Jun
ancient6–13-0.0510%24 Jun
nuke13–20.087%24 Jun
inferno13–7-0.079%24 Jun
anubis1–13-0.0516%24 Jun
dust210–13-0.0413%24 Jun
ancient15–15-0.0415%23 Jun
nuke13–30.1619%23 Jun
dust210–13-0.067%23 Jun
nuke5–13-0.0914%22 Jun
anubis13–11-0.0415%22 Jun
dust213–50.0112%22 Jun
dust25–130.0117%21 Jun
ancient5–13-0.068%21 Jun
dust213–10.036%21 Jun
mirage13–90.0627%21 Jun
nuke13–5-0.0025%21 Jun
mirage13–80.0218%18 Jun
dust211–13-0.0518%18 Jun
inferno13–10-0.0618%18 Jun
anubis13–60.0414%18 Jun
mirage9–13-0.0410%17 Jun
ancient4–13-0.096%17 Jun
inferno9–13-0.0713%17 Jun
dust213–10-0.0426%17 Jun
ancient9–13-0.0719%15 Jun
inferno13–9-0.0315%15 Jun
nuke13–50.019%15 Jun
dust28–13-0.0618%14 Jun
nuke11–130.0115%14 Jun
ancient13–50.0410%14 Jun
inferno8–13-0.0622%14 Jun
nuke15–15-0.0517%13 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →