beelzebub

beelzebub — CS2 Stats

76561198901441169[U:1:941175441]Steam profile ↗

326Tracked matches54%Win rate2022Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim64
Positioning51
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY52408Last 10052%Win rateWLWLWLLWWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression6.8
Utility4.5
Positioning5.1
Opening Duels2.2

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

Twistzz

Plays most like Twistzz 85% playstyle similarity

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

Where you differ: lower utility contribution; 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

Reaction time. 602ms 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

Aim6.4
Positioning5.1
Utility4.5
Mechanics5.8
Opening Duels2.2
Win Impact6.2

Composite 5.3/10 (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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time605ms−14ms
first ⅓ avg 619ms → last ⅓ avg 605ms
Headshot accuracy14.1%+1.5%
first ⅓ avg 12.6% → last ⅓ avg 14.1%

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

0.15Best rating — vertigo 13–4
132Biggest win — cache
7Longest win streak
75In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 67% over 21nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheS2114767%0.00
anubisB126650%-0.01
infernoC104640%-0.02
vertigoA95456%0.03
officeS96367%0.01
trainC83538%0.02
nukeD72529%-0.01
ancientD62433%-0.02
mirageC52340%-0.02
overpassA53260%0.01
dust243175%0.04
warden32167%-0.00
alpine1010%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.0%Headshot accuracy
38.2%Accuracy (enemy spotted)
39.3%Spray accuracy
76.0%Counter-strafing
10.5°Preaim
602msReaction time
40.1%T opening success
37.7%CT opening success
0.51Enemies flashed / flash
8.2%Flash assists
6.62HE damage / grenade
6.95Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0024% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.6946% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–80.1019%4 Aug
vertigo6–13-0.035%4 Aug
anubis13–70.0713%25 Jul
anubis11–13-0.0016%22 Jul
cache13–80.028%22 Jul
office9–13-0.1140%19 Jul
ancient5–13-0.0611%19 Jul
inferno13–110.0112%19 Jul
mirage13–10-0.0411%14 Jul
cache12–160.016%13 Jul
cache12–12-0.0313%13 Jul
office13–90.0414%11 Jul
office13–40.074%10 Jul
anubis13–9-0.0412%8 Jul
nuke5–9-0.0216%8 Jul
cache13–11-0.048%7 Jul
cache13–20.0311%1 Jul
cache6–130.028%1 Jul
mirage7–13-0.069%30 Jun
inferno7–130.017%24 Jun
nuke13–5-0.0218%24 Jun
nuke6–13-0.0422%23 Jun
dust215–150.0019%23 Jun
inferno6–13-0.0820%23 Jun
overpass13–40.0426%22 Jun
dust216–120.0214%18 Jun
inferno13–5-0.0012%18 Jun
ancient13–8-0.0715%17 Jun
train11–130.0411%17 Jun
train11–130.0014%17 Jun
inferno8–13-0.0910%16 Jun
anubis16–14-0.0011%15 Jun
overpass13–3-0.0431%11 Jun
ancient6–13-0.0217%11 Jun
anubis8–13-0.057%11 Jun
train13–70.0512%9 Jun
anubis13–5-0.0418%9 Jun
vertigo9–13-0.098%3 Jun
vertigo13–90.0111%3 Jun
cache13–50.027%2 Jun
cache13–50.1113%2 Jun
cache13–20.042%2 Jun
anubis13–20.0010%1 Jun
cache13–8-0.0110%27 May
cache13–100.099%27 May
anubis6–13-0.099%27 May
inferno13–11-0.068%23 May
dust213–60.119%23 May
cache13–10-0.0218%22 May
nuke5–13-0.0116%20 May
cache2–13-0.096%20 May
cache10–13-0.045%19 May
office12–12-0.0010%16 May
office12–12-0.0113%13 May
nuke7–13-0.0221%12 May
cache13–50.019%9 May
cache13–90.0113%8 May
cache8–13-0.0414%7 May
cache10–13-0.0013%5 May
mirage8–130.0113%29 Apr
inferno11–130.0218%29 Apr
cache13–7-0.0112%29 Apr
cache13–50.069%29 Apr
cache13–6-0.0313%29 Apr
train8–13-0.0315%28 Apr
vertigo13–110.076%28 Apr
ancient5–130.026%28 Apr
train13–8-0.0210%28 Apr
vertigo13–60.010%27 Apr
nuke12–16-0.0514%24 Apr
vertigo12–120.0218%24 Apr
ancient13–70.018%24 Apr
ancient6–130.039%23 Apr
warden13–9-0.007%23 Apr
anubis13–30.0621%23 Apr
inferno13–100.0619%22 Apr
mirage13–60.0213%22 Apr
mirage11–13-0.039%22 Apr
inferno3–13-0.0413%22 Apr
warden13–9-0.012%22 Apr
overpass13–80.0210%22 Apr
train13–50.0515%22 Apr
train12–12-0.0016%22 Apr
office13–60.0424%22 Apr
dust213–110.0418%21 Apr
nuke13–50.0616%15 Apr
inferno10–130.0214%8 Apr
vertigo10–13-0.0112%8 Apr
vertigo13–40.1514%8 Apr
anubis4–130.013%7 Apr
anubis10–130.028%3 Apr
anubis7–130.0113%3 Apr
alpine12–12-0.069%1 Apr
office13–70.0527%23 Mar
office13–110.0117%23 Mar
office13–40.0113%23 Mar
overpass10–130.0610%12 Mar
overpass7–13-0.0113%11 Mar
warden7–130.0113%11 Mar
train12–120.069%11 Mar

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 →