beanbattlesgoat999

beanbattlesgoat999 — CS2 Stats

AU76561198946261662[U:1:985995934]Steam profile ↗✓ No bans

842Tracked matches44%Win rate2021Tracked since
777Hours in CS1Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating14,292Blue band · top ~32.1% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (9 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.

Rating over time

Premier CS Rating: 14,292 +1,251 18 May – 29 Sept · 30 days played
11,68015,840peak 15,84018 May29 Sept
16,155Peak Premier in tracked matches
36Days played since 2026-05-17

Premier CS Rating

  • 1,548 below peak (15,840)
  • -607 over 30 days · declining
  • +2,058 over 90 days
  • Next: Purple band at 15,000 — 708 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate52.7%42.0%44.3%above
Shot accuracy17.2%9.6%11.9%above
Kill/death ratio1.310.981.03above
Match win rate45.7%43.8%45.2%meets

Across every metric we can compare, this profile already matches the typical Purple band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGbeanbattlesgoat999PREMIER14,292 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning56
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLLWWWWLLLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −4.4pp headshot accuracy · −66ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 544ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 538ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

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 Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim7.7
Utility3.6
Positioning5.6
Opening Duels3.5
Clutch1.4

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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

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 51% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.7
Positioning5.6
Utility3.6
Mechanics7.2
Opening Duels2.8
Win Impact3.1

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time565ms−32ms
first ⅓ avg 597ms → last ⅓ avg 565ms
Headshot accuracy17.2%−2.6%
first ⅓ avg 19.8% → last ⅓ avg 17.2%

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.

Personal bests

0.19Best match rating · 13–1 · mirage, 16 Aug →
41%Best headshot accuracy · 13–9 · mirage, 4 Jul →
430msFastest reaction time · 2–13 · dust2, 31 Aug →
13–0Biggest win · office, 18 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA3119–1261%0.00
dust2C219–1243%0.00
nukeC207–1335%-0.02
ancientD93–633%0.01
infernoC83–538%-0.01
cacheS54–180%0.04
anubis—31–233%-0.00
office—21–150%-0.07
train—10–10%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,317Lifetime kills
1.31K/D · Top 10% of Blue band
1,445Matches
45.7%Match win rate · Top 50% of Blue band
52.7%Headshot % · Top 25% of Blue band
17.2%Shot accuracy · Top 10% of Blue band
3,725MVPs
466Hours (in match)
779Bombs planted
382Bombs defused

Most-used weapons

AK-479,542
AWP3,830
SSG 082,724
Knife429

Lifetime map wins

2,804dust2
1,450inferno
881nuke
504vertigo
279train
94lake
40office
25cbble

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

Faceit stats

Combat

17Matches
47%Win rate
0.91Avg K/D
75.1ADR
53%Headshot %

Clutches & streaks

27%1v1 clutch win
33%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage683%1.1314.8
Dust2520%0.6612.6
Inferno10%0.7814.0
Ancient1100%1.0813.0

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.

17.3%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.4%Spray accuracy
82.6%Counter-strafing
9.0°Preaim
564msReaction time
31.6%T opening success
50.5%CT opening success
0.48Enemies flashed / flash
3.3%Flash assists
7.06HE damage / grenade
7.43Flashes / 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 0.4805 — 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 31.6251% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.044%29 Sept →
mirage8–13-0.0513%17 Sept →
nuke13–110.0125%17 Sept →
inferno13–90.0620%7 Sept →
mirage13–90.0625%7 Sept →
dust213–80.0714%6 Sept →
dust22–13-0.095%31 Aug →
inferno9–13-0.0421%30 Aug →
mirage8–130.0419%24 Aug →
nuke8–13-0.088%24 Aug →
mirage14–16-0.0117%22 Aug →
dust27–13-0.0521%22 Aug →
nuke13–10-0.0220%22 Aug →
mirage3–13-0.0518%16 Aug →
dust213–40.0130%16 Aug →
dust210–130.0121%16 Aug →
mirage13–9-0.0011%16 Aug →
mirage13–10.1928%16 Aug →
nuke7–13-0.0814%16 Aug →
cache15–15-0.0519%14 Aug →
inferno13–11-0.0227%14 Aug →
dust23–13-0.1118%14 Aug →
anubis13–80.0219%14 Aug →
dust213–50.1018%13 Aug →
nuke11–130.0113%13 Aug →
dust215–15-0.0512%13 Aug →
nuke10–13-0.0314%11 Aug →
mirage6–13-0.0523%11 Aug →
mirage13–10.0114%10 Aug →
ancient15–15-0.0713%10 Aug →
dust210–130.0424%10 Aug →
inferno13–110.0311%10 Aug →
mirage13–90.0212%10 Aug →
nuke15–15-0.0321%9 Aug →
cache13–80.0813%9 Aug →
dust211–13-0.0038%8 Aug →
mirage16–14-0.039%8 Aug →
mirage8–13-0.0113%8 Aug →
mirage13–1-0.0030%8 Aug →
nuke13–30.0423%8 Aug →
dust26–130.0124%7 Aug →
ancient9–130.0113%7 Aug →
nuke3–13-0.0422%6 Aug →
anubis11–13-0.0415%2 Aug →
dust213–30.0119%2 Aug →
ancient13–100.0324%19 Jul →
nuke7–13-0.069%19 Jul →
mirage13–10-0.017%19 Jul →
nuke13–110.0226%19 Jul →
mirage3–13-0.1217%18 Jul →
anubis14–160.0128%18 Jul →
dust24–13-0.0323%17 Jul →
mirage13–8-0.0322%17 Jul →
cache13–80.0535%17 Jul →
dust213–60.0624%17 Jul →
mirage13–10-0.0433%12 Jul →
nuke8–13-0.0417%12 Jul →
mirage13–70.0225%12 Jul →
mirage1–10-0.024%12 Jul →
mirage13–50.0822%12 Jul →
nuke8–130.0322%11 Jul →
dust214–160.0129%11 Jul →
ancient7–13-0.0316%11 Jul →
mirage13–110.0120%11 Jul →
mirage13–80.0831%5 Jul →
ancient1–13-0.0615%5 Jul →
nuke13–8-0.017%4 Jul →
mirage13–9-0.0241%4 Jul →
dust213–70.0317%2 Jul →
nuke13–50.0126%2 Jul →
ancient12–160.0530%2 Jul →
mirage8–130.0121%2 Jul →
nuke11–130.0528%2 Jul →
nuke11–130.0124%2 Jul →
inferno11–13-0.055%1 Jul →
mirage13–8-0.0419%1 Jul →
mirage7–13-0.0719%29 Jun →
dust213–110.0523%29 Jun →
mirage11–13-0.0016%29 Jun →
dust213–9-0.0114%28 Jun →
ancient11–130.0310%28 Jun →
dust25–13-0.0615%31 May →
mirage6–13-0.0017%30 May →
mirage13–8-0.0310%24 May →
dust213–110.0124%24 May →
mirage13–90.0510%22 May →
nuke5–13-0.0412%22 May →
ancient13–40.0325%22 May →
inferno8–13-0.0132%22 May →
nuke10–130.0434%22 May →
nuke13–10-0.1117%21 May →
ancient13–30.0928%21 May →
dust215–150.0426%21 May →
train4–13-0.0519%18 May →
office13–0-0.050%18 May →
mirage13–40.1029%18 May →
inferno8–13-0.0117%18 May →
cache13–30.0410%17 May →
office11–13-0.0915%17 May →
cache13–30.0622%17 May →

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 →

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