Beef

Beef — CS2 Stats

76561198072190275[U:1:111924547]Steam profile ↗✓ No bans

1,032Tracked matches41%Win rate2020Tracked since
CSDB Rating6.9 SolidEntry Fragger
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

Share this profile

CSDB.GGBeefFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.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

Aim93
Positioning74
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY45505Last 10045%Win rateWLLWWWWLLT

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim9.3
Aggression10.0
Utility4.2
Positioning7.4
Opening Duels6.8
Clutch2.0

Sharp aimerStrong CT-side openerLimited 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.

Your pro match

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 67% on CT to 48% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 552ms 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

Aim9.3
Positioning7.4
Utility4.2
Mechanics7.7
Opening Duels6.8
Win Impact1.9

Composite 6.9/10 (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 rating0.08−0.00
first ⅓ avg 0.09 → last ⅓ avg 0.08
Reaction time556ms−35ms
first ⅓ avg 591ms → last ⅓ avg 556ms
Headshot accuracy33.2%+3.5%
first ⅓ avg 29.7% → last ⅓ avg 33.2%

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

0.27Best rating — vertigo 9–5
130Biggest win — anubis
4Longest win streak
59In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 67% over 6infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C36152142%0.07
nukeC125742%0.10
mirageB126650%0.08
cacheC114736%0.06
anubisS64267%0.12
infernoD62433%0.01
overpass42250%0.06
vertigo32167%0.21
train31233%0.10
ancient330100%0.14
shelter2020%0.08
office1010%0.10
warden110100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,012Matches
57%Win rate
1.29Avg K/D
91.6ADR
60%Headshot %

Clutches & streaks

30%1v1 clutch win
30%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4060%1.2818.6
Anubis1560%1.3823.7
Vertigo1377%1.7526.1
Dust21377%1.1816.7
Nuke956%1.2920.0
Ancient944%1.2015.4
Inferno825%1.1420.6
Overpass425%1.1020.0

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.

32.6%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.3%Spray accuracy
84.8%Counter-strafing
7.7°Preaim
552msReaction time
47.6%T opening success
66.7%CT opening success
0.49Enemies flashed / flash
4.9%Flash assists
7.54HE damage / grenade
3.58Flashes / 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 0.4893 — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–80.0747%28 Aug
anubis8–130.0223%28 Aug
dust211–13-0.0042%22 Aug
dust213–30.1943%14 Aug
dust213–20.0845%28 Jul
overpass13–20.1129%28 Jul
dust213–100.0433%27 Jul
nuke8–130.0927%27 Jul
mirage9–130.1152%27 Jul
inferno12–12-0.0231%26 Jul
anubis13–110.1631%26 Jul
nuke13–50.1333%26 Jul
dust213–40.0335%26 Jul
dust213–30.2237%12 Jul
mirage9–130.0331%12 Jul
nuke4–130.1417%12 Jul
shelter10–130.0527%12 Jul
dust213–40.1030%9 Jul
shelter8–130.1035%9 Jul
dust24–130.0737%3 Jul
dust211–130.1530%3 Jul
nuke4–13-0.0528%3 Jul
inferno9–70.0542%3 Jul
office4–130.1025%2 Jul
inferno6–130.0532%2 Jul
mirage12–120.0830%2 Jul
nuke11–130.0729%2 Jul
anubis13–00.2544%29 Jun
dust212–120.0729%29 Jun
nuke6–130.1116%29 Jun
cache4–130.0532%29 Jun
dust213–110.1138%27 Jun
mirage7–130.0134%26 Jun
nuke13–50.1935%26 Jun
dust211–130.0831%16 Jun
cache13–80.0734%16 Jun
nuke13–100.1023%16 Jun
dust213–30.0531%16 Jun
cache5–130.0226%16 May
dust28–13-0.0329%16 May
cache8–130.0531%16 May
cache6–130.1035%16 May
dust28–130.0930%11 May
cache3–130.0250%2 May
cache13–90.0631%2 May
cache13–80.1337%2 May
cache13–70.0939%2 May
cache11–130.0133%2 May
cache9–130.0926%2 May
mirage13–40.0530%3 Apr
inferno2–13-0.0044%13 Mar
dust25–13-0.0418%13 Mar
dust210–130.0235%13 Mar
dust27–13-0.0027%10 Mar
mirage13–40.1920%10 Mar
anubis5–130.0330%6 Mar
warden13–90.0533%18 Feb
vertigo11–130.1627%17 Feb
dust213–110.0426%2 Feb
vertigo9–40.1927%31 Jan
dust25–130.0937%28 Jan
dust215–150.0932%28 Jan
mirage9–130.0119%28 Jan
dust211–130.1234%28 Jan
anubis13–100.1824%11 Jan
nuke13–100.0522%2 Jan
nuke7–00.2325%29 Dec
vertigo9–50.2727%29 Dec
inferno5–9-0.0319%29 Dec
overpass5–130.0623%29 Dec
mirage13–110.0923%29 Dec
mirage13–40.1318%29 Dec
dust27–130.0640%15 Dec
nuke11–130.1527%12 Dec
dust213–30.0318%12 Dec
dust213–80.1738%12 Dec
anubis13–80.0624%11 Dec
nuke5–130.0443%6 Dec
dust29–130.0226%6 Dec
train9–10.1433%6 Dec
ancient13–50.0723%6 Dec
dust28–130.1028%6 Dec
train10–130.0731%2 Dec
overpass13–10.0724%2 Dec
mirage4–130.0327%2 Dec
dust27–13-0.0025%2 Dec
dust213–30.2232%2 Dec
dust213–40.0933%29 Nov
inferno13–100.0431%23 Nov
dust213–100.1158%20 Nov
dust212–120.1231%20 Nov
ancient13–80.1138%19 Nov
train11–130.0835%18 Nov
overpass2–13-0.0138%18 Nov
mirage13–80.1534%18 Nov
ancient13–40.2435%17 Nov
dust28–130.0825%17 Nov
dust210–130.0928%16 Nov
mirage13–90.1020%16 Nov
dust21–13-0.0723%11 Nov

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →