beaNzzz

beaNzzz — CS2 Stats

GB76561197982903592[U:1:22637864]Steam profile ↗✓ No bans

322Tracked matches48%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating18,320Purple band · top ~15.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 322 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,320 +5,584 20 Oct – 20 Sept · 32 days played
12,73619,860peak 19,86020 Oct20 Sept
19,860Peak Premier in tracked matches
55Days played since 2024-10-20

Premier CS Rating

  • 1,540 below peak (19,860)
  • -691 over 30 days · declining
  • -247 over 90 days
  • Next: Pink band at 20,000 — 1,680 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGbeaNzzzPREMIER18,320 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning42
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLWLWLWLLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · +41ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 563ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 575ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 554ms

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 (+2.1 against its own average).

Aim7.1
Utility5.9
Positioning4.2
Opening Duels1.4

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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 564ms 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

Aim7.1
Positioning4.2
Utility5.9
Mechanics6.9
Opening Duels1.0
Win Impact4.4

Composite 5.4/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time560ms−33ms
first ⅓ avg 593ms → last ⅓ avg 560ms
Headshot accuracy17.0%−0.3%
first ⅓ avg 17.3% → last ⅓ avg 17.0%

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

0.11Best match rating · 13–5 · nuke, 17 Sept →
32%Best headshot accuracy · 8–13 · nuke, 19 Jul →
422msFastest reaction time · 7–13 · inferno, 16 Nov →
9–0Biggest win · ancient, 19 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 58% over 24anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
ancientA2414–1058%0.00
nukeB179–853%0.00
mirageB178–947%-0.02
infernoC167–944%-0.01
anubisD92–722%-0.02
cacheD72–529%-0.01
dust2C52–340%0.01
vertigo—32–167%-0.02
train—20–20%0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis 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.

17.1%Headshot accuracy
34.5%Accuracy (enemy spotted)
34.1%Spray accuracy
81.0%Counter-strafing
9.1°Preaim
564msReaction time
23.1%T opening success
37.7%CT opening success
0.56Enemies flashed / flash
3.4%Flash assists
10.45HE damage / grenade
5.77Flashes / 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 23.0984% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–130.0413%10 Sept →
nuke13–80.0117%10 Sept →
mirage5–13-0.0614%5 Sept →
ancient13–5-0.0521%5 Sept →
mirage6–13-0.089%3 Sept →
ancient13–10-0.0011%2 Sept →
nuke10–130.0112%2 Sept →
mirage3–13-0.0917%28 Aug →
nuke13–11-0.0416%28 Aug →
ancient5–130.0025%27 Aug →
anubis7–13-0.0212%21 Aug →
ancient13–80.046%21 Aug →
dust214–16-0.0226%21 Aug →
anubis9–130.0117%19 Aug →
cache10–13-0.0717%13 Aug →
ancient13–100.0213%12 Aug →
inferno15–15-0.0030%31 Jul →
nuke13–8-0.0211%30 Jul →
anubis16–12-0.0414%30 Jul →
cache13–90.0123%29 Jul →
inferno9–13-0.0424%28 Jul →
ancient13–11-0.0314%27 Jul →
nuke13–100.0720%27 Jul →
nuke13–6-0.0030%27 Jul →
mirage13–100.019%27 Jul →
cache9–13-0.0019%27 Jul →
cache8–130.0118%27 Jul →
anubis13–100.0019%27 Jul →
nuke9–130.0112%27 Jul →
nuke10–130.0321%24 Jul →
cache6–130.0420%24 Jul →
cache11–13-0.0121%24 Jul →
ancient13–110.0212%23 Jul →
cache13–10-0.0222%23 Jul →
ancient11–13-0.0114%21 Jul →
nuke8–13-0.0732%19 Jul →
ancient9–0-0.056%19 Jul →
ancient13–40.0826%19 Jul →
inferno5–13-0.0813%18 Jul →
nuke13–8-0.0212%5 Jul →
inferno13–40.0414%5 Jul →
ancient13–50.047%5 Jul →
anubis3–13-0.0615%5 Jul →
nuke15–150.0115%5 Jul →
inferno8–13-0.0116%5 Jul →
mirage8–13-0.096%25 Jun →
inferno13–8-0.0223%25 Jun →
inferno13–90.0119%16 Jun →
mirage13–10-0.0914%16 Jun →
inferno8–13-0.0310%16 Jun →
mirage3–13-0.005%5 Jun →
inferno13–10-0.0113%18 May →
ancient13–90.0712%18 May →
dust213–11-0.0114%18 May →
dust213–11-0.0319%17 May →
nuke10–130.0218%17 May →
nuke4–13-0.0121%16 May →
ancient13–6-0.016%16 May →
mirage11–13-0.0610%6 Apr →
ancient13–5-0.0310%4 Apr →
mirage8–30.0420%4 Apr →
ancient7–130.0127%4 Apr →
ancient9–13-0.0717%3 Apr →
anubis7–130.0215%27 Feb →
ancient7–13-0.0014%26 Feb →
nuke13–90.0214%26 Feb →
inferno11–13-0.0116%26 Feb →
nuke13–9-0.0522%25 Feb →
mirage13–11-0.0611%19 Feb →
inferno16–14-0.0528%19 Feb →
dust28–130.0015%7 Dec →
ancient13–70.0313%28 Nov →
inferno13–70.0613%27 Nov →
ancient14–16-0.0421%13 Nov →
mirage10–130.0616%10 Oct →
mirage8–130.007%10 Oct →
dust210–130.0914%1 Oct →
inferno13–160.0524%30 Sept →
nuke13–50.1118%17 Sept →
mirage15–150.0126%12 Aug →
train5–130.0921%16 Jan →
ancient5–13-0.0014%11 Jan →
inferno11–13-0.0413%29 Dec →
mirage16–140.0118%28 Dec →
mirage13–70.0123%17 Nov →
train8–130.0819%17 Nov →
ancient5–13-0.009%16 Nov →
inferno7–13-0.0215%16 Nov →
anubis14–16-0.0520%16 Nov →
ancient2–13-0.0223%16 Nov →
anubis7–130.0116%8 Nov →
vertigo13–5-0.0420%8 Nov →
inferno13–10-0.0416%8 Nov →
anubis10–13-0.0117%6 Nov →
nuke6–130.0221%24 Oct →
mirage13–11-0.0010%23 Oct →
vertigo5–13-0.0412%23 Oct →
ancient13–60.0526%23 Oct →
vertigo13–100.0120%21 Oct →
mirage13–50.0410%20 Oct →

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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