bewpy

bewpy — CS2 Stats

US76561197994219258[U:1:33953530]Steam profile ↗✓ No bans

1,145Tracked matches48%Win rate2021Tracked since
4,687Hours in CS9Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
Premier CS Rating17,034Purple band · top ~20.3% of ranked players (population est.)
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (21 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: 17,034 +425 8 Aug – 24 Sept · 12 days played
16,60917,804peak 17,8048 Aug24 Sept
17,804Peak Premier in tracked matches
32Days played since 2026-08-04

Premier CS Rating

  • 770 below peak (17,804)
  • -770 over 30 days · declining
  • Next: Pink band at 20,000 — 2,966 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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=37,767), 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 rate49.0%44.3%46.9%above
Shot accuracy16.3%11.9%13.0%above
Kill/death ratio1.211.031.08above
Match win rate40.1%45.2%46.7%6.6% short

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Match win 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.GGbewpyPREMIER17,034 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning61
Utility44

0–100 skill scores via Leetify.

Recent form

COLD40–49–11Last 10040%Win rateTLWWLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −6.7pp headshot accuracy · +1ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 567ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 566ms

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 (+0.9 against its own average).

Aim8.3
Utility4.4
Positioning6.1
Opening Duels5.1

Effective flashesLimited 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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; 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

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 584ms 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

Aim8.3
Positioning6.1
Utility4.4
Mechanics7.1
Opening Duels6.4
Win Impact4.4

Composite 6.5/10 (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 rating0.05+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time577ms−8ms
first ⅓ avg 584ms → last ⅓ avg 577ms
Headshot accuracy22.0%−2.4%
first ⅓ avg 24.4% → last ⅓ avg 22.0%

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

0.33Best match rating · 9–1 · vertigo, 11 Aug →
50%Best headshot accuracy · 3–9 · nuke, 11 Aug →
398msFastest reaction time · 0–9 · inferno, 14 Oct →
13–1Biggest win · dust2, 18 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 67% over 6vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD309–2130%0.03
nukeC156–940%0.03
dust2A159–660%0.05
mirageD82–625%0.04
trainD62–433%0.04
cacheS64–267%0.06
vertigoD51–420%-0.00
ancient—43–175%0.03
anubis—31–233%0.02
office—33–0100%0.03
poseidon—20–20%0.05
debris—20–20%-0.08
overpass—10–10%0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,140Lifetime kills
1.21K/D · Top 25% of Purple band
5,360Matches
40.1%Match win rate
49.0%Headshot % · Top 50% of Purple band
16.3%Shot accuracy · Top 25% of Purple band
15,460MVPs
2,711Hours (in match)
3,245Bombs planted
1,149Bombs defused

Most-used weapons

AK-4735,455
FAMAS2,439
AWP2,182
MP72,138
MP92,105
MAC-102,012

Lifetime map wins

6,341dust2
5,299inferno
4,211nuke
1,750train
1,105cbble
1,052vertigo
150office
128aztec

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

Faceit stats

Combat

3Matches
67%Win rate
0.92Avg K/D
—ADR
51%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

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.

22.7%Headshot accuracy
37.6%Accuracy (enemy spotted)
41.5%Spray accuracy
82.0%Counter-strafing
9.5°Preaim
584msReaction time
59.8%T opening success
51.5%CT opening success
0.78Enemies flashed / flash
4.4%Flash assists
9.44HE damage / grenade
2.80Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.797 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
train12–120.0725%15 Oct →
overpass6–90.0319%15 Oct →
nuke9–40.099%15 Oct →
nuke9–40.1616%15 Oct →
nuke10–13-0.0321%14 Oct →
inferno0–9-0.2718%14 Oct →
mirage11–130.0319%14 Oct →
vertigo6–90.0322%14 Oct →
inferno9–30.2227%14 Oct →
poseidon4–90.0419%13 Oct →
inferno9–40.2023%13 Oct →
inferno9–30.0524%13 Oct →
dust213–60.1122%13 Oct →
anubis13–100.0823%12 Oct →
nuke13–70.0234%12 Oct →
dust27–130.0022%6 Oct →
inferno8–80.0924%29 Sept →
dust29–130.0733%29 Sept →
inferno7–130.0819%28 Sept →
mirage0–6-0.0238%25 Sept →
cache10–00.1324%25 Sept →
dust213–2-0.0218%24 Sept →
mirage13–90.1420%9 Sept →
anubis6–13-0.0219%8 Sept →
dust213–100.0920%8 Sept →
dust28–130.0731%8 Sept →
office13–100.0618%8 Sept →
mirage7–130.0822%8 Sept →
inferno11–130.0927%7 Sept →
office13–90.0521%7 Sept →
inferno5–13-0.0423%7 Sept →
office13–5-0.0314%2 Sept →
inferno7–130.0612%2 Sept →
dust213–110.0623%2 Sept →
nuke12–12-0.0022%2 Sept →
inferno12–120.0323%1 Sept →
cache13–20.1227%1 Sept →
nuke13–70.0325%1 Sept →
inferno10–130.0322%1 Sept →
train7–130.0423%28 Aug →
cache8–13-0.0316%28 Aug →
dust27–130.0824%27 Aug →
ancient9–130.0126%26 Aug →
debris2–9-0.1425%26 Aug →
nuke8–8-0.0125%26 Aug →
inferno0–9-0.3220%26 Aug →
inferno7–9-0.0225%25 Aug →
inferno4–90.026%25 Aug →
cache13–40.0516%25 Aug →
dust213–8-0.0324%24 Aug →
mirage12–120.0427%24 Aug →
cache11–130.0630%24 Aug →
inferno16–140.0022%24 Aug →
nuke9–130.0727%22 Aug →
dust210–130.0416%20 Aug →
dust213–110.0122%19 Aug →
nuke6–130.0629%19 Aug →
inferno3–9-0.0214%19 Aug →
vertigo1–9-0.2218%19 Aug →
train13–50.0722%18 Aug →
dust213–10.1620%18 Aug →
debris2–9-0.0226%18 Aug →
nuke7–9-0.0121%18 Aug →
inferno8–8-0.0318%18 Aug →
train7–130.0829%17 Aug →
inferno8–80.0120%17 Aug →
nuke9–20.2430%17 Aug →
inferno8–80.1228%17 Aug →
nuke6–13-0.0323%17 Aug →
train3–13-0.0416%17 Aug →
ancient13–30.0422%16 Aug →
vertigo1–9-0.1920%14 Aug →
train13–40.0111%14 Aug →
nuke6–90.0738%14 Aug →
inferno6–90.0523%14 Aug →
cache13–30.0221%13 Aug →
mirage8–130.0436%13 Aug →
nuke3–9-0.0950%11 Aug →
inferno6–9-0.0516%11 Aug →
vertigo9–10.3324%11 Aug →
nuke9–6-0.0931%11 Aug →
inferno9–30.3227%11 Aug →
mirage13–4-0.0212%10 Aug →
dust20–9-0.0424%10 Aug →
inferno9–40.1326%10 Aug →
inferno9–50.1620%10 Aug →
inferno8–80.0541%10 Aug →
inferno9–70.0618%10 Aug →
ancient13–100.0112%9 Aug →
ancient13–50.0627%9 Aug →
mirage8–130.0425%8 Aug →
dust213–20.0818%8 Aug →
anubis9–130.0123%4 Aug →
dust213–40.0624%4 Aug →
vertigo3–90.0333%4 Aug →
inferno5–9-0.0729%4 Aug →
inferno4–90.0035%4 Aug →
inferno2–9-0.2514%4 Aug →
inferno9–30.3326%4 Aug →
poseidon8–80.0714%4 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.