beany weany

beany weany — CS2 Stats

US76561198096975936[U:1:136710208]Steam profile ↗✓ No bans

723Tracked matches31%Win rate2020Tracked since
1,955Hours in CS0Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating16,094Purple band · top ~24% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 16 Nov 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,094 +5,558 7 May8 Sept · 19 days played
10,53618,434peak 18,4347 May8 Sept
18,641Peak Premier in tracked matches
39Days played since 2025-11-16

Premier CS Rating

  • 2,340 below peak (18,434)
  • Next: Pink band at 20,000 3,906 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,147), 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 rate36.1%44.3%46.9%10.8% short
Shot accuracy15.7%11.8%13.0%above
Kill/death ratio1.191.031.08above
Match win rate43.9%45.2%46.7%2.7% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGbeany weanyPREMIER16,094 · Purple bandcsdb.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

Aim56
Positioning52
Utility30

0–100 skill scores via Leetify.

Recent form

COLD36613Last 10036%Win rateLLWLWLLLLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +2.3pp headshot accuracy · −39ms 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

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 524ms

Last 20

  • 5141 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 543ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim5.6
Utility3.0
Positioning5.2
Opening Duels2.9

Limited 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.

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

ZywOo

Plays most like ZywOo 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

T-side openings. Opening success drops from 47% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.6
Positioning5.2
Utility3.0
Mechanics4.9
Opening Duels2.5
Win Impact0.0

Composite 4.2/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time551ms−56ms
first ⅓ avg 607ms → last ⅓ avg 551ms
Headshot accuracy14.3%−3.3%
first ⅓ avg 17.6% → last ⅓ avg 14.3%

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

0.15Best match rating · 7–13 · mirage, 17 Aug
36%Best headshot accuracy · 5–13 · dust2, 19 Apr
406msFastest reaction time · 1–13 · inferno, 6 Sept
13–1Biggest win · overpass, 19 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
116In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 55% over 11dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoD2561924%-0.01
mirageB24131154%0.00
anubisC125742%-0.00
ancientA116555%0.01
cacheD92722%-0.02
nukeD82625%-0.01
dust2D81713%-0.03
overpass21150%-0.03
vertigo1010%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,950Lifetime kills
1.19K/D · Top 25% of Purple band
2,558Matches
43.9%Match win rate
36.1%Headshot %
15.7%Shot accuracy · Top 25% of Purple band
7,169MVPs
977Hours (in match)
3,230Bombs planted
860Bombs defused

Most-used weapons

AWP10,309
AK-479,766
UMP-452,000
SSG 081,941
P2501,566
Tec-91,484

Lifetime map wins

5,771dust2
4,352inferno
695train
586nuke
393cbble
338vertigo
321office
178bank

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

Skill profile

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

14.6%Headshot accuracy
30.5%Accuracy (enemy spotted)
32.0%Spray accuracy
71.9%Counter-strafing
9.1°Preaim
532msReaction time
32.3%T opening success
47.4%CT opening success
0.40Enemies flashed / flash
4.6%Flash assists
13.07HE damage / grenade
2.25Flashes / 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. 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 14.6416% — below the 15% mark we flag

    Aim Training
  2. 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 0.3974 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 32.3115% — below the 40% mark we flag

Spend your practice time on Dust 2

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno2–90.038%8 Sept
nuke11–130.0418%8 Sept
inferno13–11-0.0132%8 Sept
mirage11–130.0418%7 Sept
cache16–13-0.0113%6 Sept
inferno1–13-0.0812%6 Sept
mirage2–13-0.0517%2 Sept
ancient8–13-0.0510%2 Sept
inferno6–130.0111%2 Sept
ancient1–13-0.039%1 Sept
anubis13–110.0919%1 Sept
inferno7–13-0.0714%1 Sept
ancient8–9-0.032%31 Aug
mirage8–13-0.0714%31 Aug
inferno15–150.0912%31 Aug
inferno9–13-0.039%30 Aug
inferno13–16-0.0218%27 Aug
ancient13–11-0.0312%27 Aug
mirage10–13-0.0417%27 Aug
mirage13–9-0.029%26 Aug
cache6–130.0118%26 Aug
inferno16–14-0.0213%24 Aug
nuke4–13-0.0223%24 Aug
cache5–13-0.0535%24 Aug
inferno3–13-0.0111%24 Aug
ancient16–120.0310%23 Aug
ancient6–13-0.028%22 Aug
inferno6–13-0.0015%22 Aug
mirage8–130.0118%21 Aug
ancient13–60.0811%21 Aug
inferno13–110.0610%21 Aug
anubis10–130.0420%21 Aug
inferno9–13-0.047%20 Aug
mirage16–140.0115%20 Aug
dust23–130.0317%20 Aug
cache5–130.0117%20 Aug
mirage16–130.0323%18 Aug
nuke4–13-0.0633%18 Aug
dust25–13-0.035%17 Aug
anubis15–15-0.057%17 Aug
dust213–70.0316%17 Aug
mirage7–130.1515%17 Aug
mirage13–100.029%17 Aug
nuke13–11-0.0921%17 Aug
ancient11–13-0.0716%17 Aug
mirage13–100.0417%16 Aug
inferno13–40.0425%16 Aug
dust24–13-0.1117%16 Aug
mirage6–13-0.0218%16 Aug
nuke10–13-0.0324%16 Aug
mirage13–5-0.026%14 Aug
inferno10–130.0413%3 Aug
mirage13–11-0.0113%3 Aug
cache7–13-0.049%3 Aug
vertigo3–9-0.0819%3 Aug
cache8–130.0220%27 Jul
cache7–13-0.0316%27 Jul
mirage10–13-0.0517%27 Jul
dust215–15-0.0114%24 Jul
mirage4–130.0514%24 Jul
inferno10–130.0113%24 Jul
inferno1–13-0.0813%23 Jul
ancient16–140.0618%23 Jul
mirage13–9-0.065%23 Jul
cache13–10-0.0316%21 Jul
anubis13–6-0.0615%20 Jul
inferno13–5-0.0428%20 Jul
anubis8–130.0210%18 Jun
dust29–13-0.1020%18 Jun
mirage13–8-0.0515%13 May
mirage13–5-0.0219%13 May
ancient16–140.0517%12 May
inferno9–13-0.0129%7 May
ancient13–80.0726%7 May
anubis11–130.0016%7 May
nuke7–130.0920%6 May
inferno13–9-0.049%6 May
anubis10–130.0020%6 May
mirage13–20.1211%6 May
cache6–13-0.056%4 May
dust23–13-0.0011%4 May
inferno5–130.0232%4 May
overpass13–10.0416%19 Apr
anubis16–140.0822%19 Apr
mirage13–7-0.0126%19 Apr
dust25–13-0.0536%19 Apr
inferno9–13-0.0516%26 Mar
inferno9–13-0.0315%19 Mar
anubis16–13-0.0513%19 Mar
nuke13–30.069%19 Mar
mirage13–16-0.0415%12 Mar
anubis5–13-0.0733%12 Mar
anubis11–13-0.0418%5 Mar
mirage10–13-0.0019%5 Mar
inferno1–13-0.0925%24 Feb
mirage13–10-0.0111%24 Feb
anubis13–100.0120%22 Feb
inferno10–13-0.0213%17 Feb
nuke7–13-0.097%16 Nov
overpass1–13-0.105%16 Nov

Match data via Leetify.

Recent teammates

Milestones

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